On the public citation graph

WinoGrande

https://doi.org/10.1145/3474381
0 signed · 371 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1093/mind/lix.236.433openalex-snapshot
I.—COMPUTING MACHINERY AND INTELLIGENCE
inferredcites →https://doi.org/10.1093/oso/9780198250791.003.0017openalex-snapshot
Computing Machinery and Intelligence (1950)
inferredcites →https://doi.org/10.1145/2509558.2509563openalex-snapshot
Reporting bias and knowledge acquisition
inferredcites →https://doi.org/10.1145/2701413openalex-snapshot
Commonsense reasoning and commonsense knowledge in artificial intelligence
inferredcites →https://doi.org/10.1609/aaai.v25i1.8072openalex-snapshot
Commonsense Causal Reasoning Using Millions of Personal Stories
inferredcites →https://doi.org/10.1609/aimag.v37i1.2639openalex-snapshot
Planning, Executing, and Evaluating the Winograd Schema Challenge
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.171openalex-snapshot
UNIFIEDQA: Crossing Format Boundaries with a Single QA System
inferredcites →https://doi.org/10.18653/v1/d13-1203openalex-snapshot
Easy Victories and Uphill Battles in Coreference Resolution
inferredcites →https://doi.org/10.18653/v1/d16-1245openalex-snapshot
Deep Reinforcement Learning for Mention-Ranking Coreference Models
inferredcites →https://doi.org/10.18653/v1/d18-1002openalex-snapshot
Adversarial Removal of Demographic Attributes from Text Data
inferredcites →https://doi.org/10.18653/v1/d18-1009openalex-snapshot
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference
inferredcites →https://doi.org/10.18653/v1/d19-1107openalex-snapshot
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
inferredcites →https://doi.org/10.18653/v1/d19-6002openalex-snapshot
A Hybrid Neural Network Model for Commonsense Reasoning
inferredcites →https://doi.org/10.18653/v1/n18-2002openalex-snapshot
Gender Bias in Coreference Resolution
inferredcites →https://doi.org/10.18653/v1/n18-2017openalex-snapshot
Annotation Artifacts in Natural Language Inference Data
inferredcites →https://doi.org/10.18653/v1/n18-4004openalex-snapshot
A Generalized Knowledge Hunting Framework for the Winograd Schema Challenge
inferredcites →https://doi.org/10.18653/v1/p19-1386openalex-snapshot
The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution
inferredcites →https://doi.org/10.18653/v1/p19-1459openalex-snapshot
Probing Neural Network Comprehension of Natural Language Arguments
inferredcites →https://doi.org/10.18653/v1/p19-1478openalex-snapshot
A Surprisingly Robust Trick for the Winograd Schema Challenge
inferredcites →https://doi.org/10.18653/v1/s18-2023openalex-snapshot
Hypothesis Only Baselines in Natural Language Inference
inferredcites →https://doi.org/10.18653/v1/s19-1028openalex-snapshot
On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference
inferredcites →https://doi.org/10.3115/v1/n15-1082openalex-snapshot
Solving Hard Coreference Problems
inferredcites →https://doi.org/10.48550/arxiv.1611.04146openalex-snapshot
Commonsense Knowledge Enhanced Embeddings for Solving Pronoun Disambiguation Problems in Winograd Schema Challenge
inferredcites →https://doi.org/10.48550/arxiv.1806.02847openalex-snapshot
A Simple Method for Commonsense Reasoning
inferredcites →https://doi.org/10.48550/arxiv.2002.04108openalex-snapshot
Adversarial Filters of Dataset Biases

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4781958openalex-extracted
An Efficient Bias Mitigation Method for Natural Language Understanding Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-23190-2_4openalex-snapshot
Knowledge Acquired by Foundation Models
inferred← citeshttps://doi.org/10.1007/978-3-031-28238-6_53openalex-snapshot
Evaluating Humorous Response Generation to Playful Shopping Requests
inferred← citeshttps://doi.org/10.1007/978-3-031-28819-7_42openalex-snapshot
Deep Dive Text Analytics and Natural Language Understanding
inferred← citeshttps://doi.org/10.1007/978-3-031-42430-4_43openalex-snapshot
Generation of Arabic Commonsense Explanations
inferred← citeshttps://doi.org/10.1007/978-3-031-45392-2_15openalex-snapshot
Sabiá: Portuguese Large Language Models
inferred← citeshttps://doi.org/10.1007/978-3-031-54827-7_6openalex-snapshot
Tasks for LLMs and Their Evaluation
inferred← citeshttps://doi.org/10.1007/978-3-031-56072-9_2openalex-snapshot
The CLEF 2024 Monster Track: One Lab to Rule Them All
inferred← citeshttps://doi.org/10.1007/978-3-031-72630-9_3openalex-snapshot
The Hard Positive Truth About Vision-Language Compositionality
inferred← citeshttps://doi.org/10.1007/978-3-031-76770-8_7openalex-snapshot
Memory-Efficient Fine-Tuning for Foundation Models
inferred← citeshttps://doi.org/10.1007/978-3-031-78841-3_1openalex-snapshot
Empowering Federated Learning for Massive Models with NVIDIA FLARE
inferred← citeshttps://doi.org/10.1007/978-3-031-78952-6_7openalex-snapshot
Can LLMs Generate Competency Questions?
inferred← citeshttps://doi.org/10.1007/978-3-031-85747-8_3openalex-snapshot
Efficient LLM Inference on CPUs
inferred← citeshttps://doi.org/10.1007/978-3-032-00891-6_28openalex-snapshot
Enhancing Ultra-Low-Bit Quantization of Large Language Models Through Saliency-Aware Partial Retraining
inferred← citeshttps://doi.org/10.1007/978-3-032-02899-0_6openalex-snapshot
BladeLoRA: An Enhanced LoRA Method with Adaptive Rank Selection and Pruning for Efficient Fine-Tuning
inferred← citeshttps://doi.org/10.1007/978-3-032-31673-8_17openalex-snapshot
StableSkip: Stability-Guided Dynamic Token Skipping for Efficient Large Language Model Inference
inferred← citeshttps://doi.org/10.1007/978-3-032-37010-5_37openalex-snapshot
BATQuant: Outlier-Resilient MXFP4 Quantization via Learnable Block-Wise Optimization
inferred← citeshttps://doi.org/10.1007/978-3-032-37664-0_10openalex-snapshot
The Effect of Quantization on Memorization in Large Language Models
inferred← citeshttps://doi.org/10.1007/978-3-032-37667-1_15openalex-snapshot
Trainable Vector Quantization for Large Language Models
inferred← citeshttps://doi.org/10.1007/978-3-032-38410-2_18openalex-snapshot
CoQ-LLM: Exploiting Complex-Valued Representation for Post-training Quantization of Large Language Models
inferred← citeshttps://doi.org/10.1007/978-981-92-3444-8_30openalex-snapshot
Outlier-Aware and Task-Oriented Quantization-Based Low-Rank Adaptation of Large Language Models
inferred← citeshttps://doi.org/10.1007/978-981-95-3058-8_4openalex-snapshot
MatSciES: Automated Knowledge Extraction and Summarization from Materials Science Literature with Large Language Models
inferred← citeshttps://doi.org/10.1007/978-981-95-4158-4_6openalex-snapshot
RBLU: A Benchmark to Evaluate the Reverse Inference Ability of Large Language Models
inferred← citeshttps://doi.org/10.1007/978-981-95-7072-0_9openalex-snapshot
Multi-Stage Variance-Controlled Gradient Updates: Toward Robust Continual Learning
inferred← citeshttps://doi.org/10.1007/978-981-95-7078-2_11openalex-snapshot
LMSQuant: Learnable Multiscale Post-training Quantization for Large Language Models
inferred← citeshttps://doi.org/10.1007/s00521-023-09128-1openalex-snapshot
Multidimensional relational knowledge embedding for coreference resolution
inferred← citeshttps://doi.org/10.1007/s10462-024-10896-yopenalex-snapshot
Towards trustworthy LLMs: a review on debiasing and dehallucinating in large language models
inferred← citeshttps://doi.org/10.1007/s10462-025-11376-7openalex-snapshot
A survey on large language models unlearning: taxonomy, evaluations, and future directions
inferred← citeshttps://doi.org/10.1007/s10462-025-11403-7openalex-snapshot
Datasets for large language models: a comprehensive survey
inferred← citeshttps://doi.org/10.1007/s10579-025-09898-1openalex-snapshot
ThaiCoref: Thai coreference resolution dataset
inferred← citeshttps://doi.org/10.1007/s10618-024-01020-3openalex-snapshot
Towards more sustainable and trustworthy reporting in machine learning
inferred← citeshttps://doi.org/10.1007/s10994-025-06885-zopenalex-snapshot
Addressing task conflicts in LLMs multi-task fine-tuning with task-specific subnetwork refinement
inferred← citeshttps://doi.org/10.1007/s11263-025-02639-5openalex-snapshot
Liquid: Language Models are Scalable and Unified Multi-Modal Generators
inferred← citeshttps://doi.org/10.1007/s11633-026-1653-xopenalex-snapshot
Surviving Resource-constraint Compression: Capability Retention under Tensor-train Decomposition for Sub-billion Parameter Language Models
inferred← citeshttps://doi.org/10.1007/s11704-024-41099-xopenalex-snapshot
The gains do not make up for the losses: a comprehensive evaluation for safety alignment of large language models via machine unlearning
inferred← citeshttps://doi.org/10.1007/s40747-026-02394-1openalex-snapshot
Bsqat: block-wise shared quantization-aware training for large language models
inferred← citeshttps://doi.org/10.1007/s44267-024-00070-xopenalex-snapshot
An empirical study of LLaMA3 quantization: from LLMs to MLLMs
inferred← citeshttps://doi.org/10.1007/s44443-026-00724-4openalex-snapshot
Layer-wise heterogeneity-guided heterogeneous pruning: An LLM compression method
inferred← citeshttps://doi.org/10.1016/b978-0-443-30046-2.00005-3openalex-snapshot
Extending large language model capabilities beyond reasoning
inferred← citeshttps://doi.org/10.1016/j.artint.2023.103971openalex-snapshot
The defeat of the Winograd Schema Challenge
inferred← citeshttps://doi.org/10.1016/j.chbah.2025.100241openalex-snapshot
Assessing intercultural sensitivity in large language models: A comparative study of GPT-3.5 and GPT-4 across eight languages
inferred← citeshttps://doi.org/10.1016/j.cogsys.2024.101215openalex-snapshot
The emergence of compositionality in a brain-inspired cognitive architecture
inferred← citeshttps://doi.org/10.1016/j.cosrev.2026.100938openalex-snapshot
The evolution of natural language processing: How prompt optimization and language models are shaping the future
inferred← citeshttps://doi.org/10.1016/j.cosrev.2026.101076openalex-snapshot
Towards sustainable and energy-efficient agentic AI via small language models: A comprehensive survey
inferred← citeshttps://doi.org/10.1016/j.datak.2023.102235openalex-snapshot
Towards comparable ratings: Exploring bias in German physician reviews
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.122700openalex-snapshot
Is word order considered by foundation models? A comparative task-oriented analysis
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.126593openalex-snapshot
Continual debiasing: A bias mitigation framework for natural language understanding systems
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.129806openalex-snapshot
Multi-hop commonsense knowledge injection framework for zero-shot commonsense question answering
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.132870openalex-snapshot
Model compression-driven instruction data mining framework with integrated adversarial attack strategies
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.133545openalex-snapshot
Potential and limitations of LLMs for augmenting lexical knowledge bases
inferred← citeshttps://doi.org/10.1016/j.future.2025.108056openalex-snapshot
Mosaic: Composite projection pruning for resource-efficient LLMs
inferred← citeshttps://doi.org/10.1016/j.inffus.2023.101988openalex-snapshot
A survey on semantic processing techniques
inferred← citeshttps://doi.org/10.1016/j.inffus.2026.104819openalex-snapshot
Knowledge Transmission and Fusion in Large Models: Research Advances and Challenges
inferred← citeshttps://doi.org/10.1016/j.ins.2026.124025openalex-snapshot
Synergistic mixed-precision quantization for MoE LLMs: Integrating cooperative shapley attribution with profiling-few fuzzy rule interpolation
inferred← citeshttps://doi.org/10.1016/j.intell.2024.101832openalex-snapshot
Defining intelligence: Bridging the gap between human and artificial perspectives
inferred← citeshttps://doi.org/10.1016/j.intell.2024.101858openalex-snapshot
Evidence of interrelated cognitive-like capabilities in large language models: Indications of artificial general intelligence or achievement?
inferred← citeshttps://doi.org/10.1016/j.intell.2025.101922openalex-snapshot
Psychometrically derived 60-question benchmarks: Substantial efficiencies and the possibility of human-AI comparisons
inferred← citeshttps://doi.org/10.1016/j.ipm.2024.103915openalex-snapshot
Maximizing discrimination masking for faithful question answering with machine reading
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104239openalex-snapshot
Red teaming large language models: A comprehensive review and critical analysis
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104538openalex-snapshot
LaRA: Layer-wise rank allocation for efficient fine-tuning of pruned large language models
inferred← citeshttps://doi.org/10.1016/j.jml.2026.104762openalex-snapshot
Better language models better model the N400, but not reading time
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112682openalex-snapshot
Discrete prompt optimization using genetic algorithm for secure Python code generation
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.111302openalex-snapshot
Contrastive variational information bottleneck for aspect-based sentiment analysis
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116152openalex-snapshot
SERA: Self-referential assessment framework for bidirectional generative commonsense reasoning
inferred← citeshttps://doi.org/10.1016/j.neucom.2023.126591openalex-snapshot
SLR: A million-scale comprehensive crossword dataset for simultaneous learning and reasoning
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.129645openalex-snapshot
A comprehensive overview of Generative AI (GAI): Technologies, applications, and challenges
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130711openalex-snapshot
A survey of RWKV
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.131514openalex-snapshot
RAG-LER: Ranking adapted generation with language-model enabled regulation
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.132766openalex-snapshot
SDGT: LLMs fine-tuning with seed-driven growth technology based on GPT-4 data expansion
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.134183openalex-snapshot
PPF: A framework for real-time adaptive pruning of large language models via performance prediction
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.134215openalex-snapshot
SampleLLM: Prune LLMs via learnable structure sampling
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.134753openalex-snapshot
LiPRA: Lightweight pruning rate allocation for LLMs via global sensitivity measurement
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.135315openalex-snapshot
BVSR: BitVector-sum representation for distribution-aware LLM weight quantization
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107855openalex-snapshot
PT-BitNet: Scaling up the 1-Bit large language model with post-training quantization
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.108039openalex-snapshot
State-space modeling in long sequence processing: a survey on recurrence in the transformer era
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.108095openalex-snapshot
La-LoRA: Parameter-efficient fine-tuning with layer-wise adaptive low-rank adaptation
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.108274openalex-snapshot
Expertfuse: A huffman tree-based gradual expert integration framework for MoE models
inferred← citeshttps://doi.org/10.1016/j.neunet.2026.108840openalex-snapshot
WLR: Well-conditioned linear reconstruction for retraining-free pruning of LLMs
inferred← citeshttps://doi.org/10.1016/j.neunet.2026.108900openalex-snapshot
Towards efficient language giants: A comprehensive survey on structural optimizations and compression techniques for large language models
inferred← citeshttps://doi.org/10.1016/j.neunet.2026.109750openalex-snapshot
Efficient Zero-Shot Post-Training Quantization of Large Language Models
inferred← citeshttps://doi.org/10.1016/j.nlp.2025.100161openalex-snapshot
Intermediate-task transfer learning for Indonesian NLP tasks
inferred← citeshttps://doi.org/10.1016/j.patcog.2026.114286openalex-snapshot
Security-aware post-training quantization for Mixture-of-Experts large language models
inferred← citeshttps://doi.org/10.1016/j.patter.2026.101544openalex-snapshot
Multimodal integrated knowledge transfer to large language models through preference optimization with biomedical applications
inferred← citeshttps://doi.org/10.1016/j.tbench.2023.100139openalex-snapshot
Mind meets machine: Unravelling GPT-4’s cognitive psychology
inferred← citeshttps://doi.org/10.1016/j.trc.2025.105428openalex-snapshot
A review of knowledge graph construction using large language models in transportation: Problems, methods, and challenges
inferred← citeshttps://doi.org/10.1016/s2589-7500(23)00201-7openalex-snapshot
Large language models and their impact in ophthalmology
inferred← citeshttps://doi.org/10.1017/eds.2025.10024openalex-snapshot
Language models for the analysis of and interaction with climate change documents
inferred← citeshttps://doi.org/10.1038/s41562-024-02096-zopenalex-snapshot
How to evaluate the cognitive abilities of LLMs
inferred← citeshttps://doi.org/10.1038/s41598-024-79531-8openalex-snapshot
Testing AI on language comprehension tasks reveals insensitivity to underlying meaning
inferred← citeshttps://doi.org/10.1038/s42256-024-00925-4openalex-snapshot
Contextual feature extraction hierarchies converge in large language models and the brain
inferred← citeshttps://doi.org/10.1038/s42256-024-00969-6openalex-snapshot
Investigating machine moral judgement through the Delphi experiment
inferred← citeshttps://doi.org/10.1038/s43588-025-00854-1openalex-snapshot
Analog in-memory computing attention mechanism for fast and energy-efficient large language models
inferred← citeshttps://doi.org/10.1038/s44335-026-00099-9openalex-snapshot
Bit-sliced quantization for robust memristor-based compute-in-memory
inferred← citeshttps://doi.org/10.1038/s44387-026-00072-8openalex-snapshot
Phase transitions in large language model compression
inferred← citeshttps://doi.org/10.1093/jamia/ocae074openalex-snapshot
Large language models for biomedicine: foundations, opportunities, challenges, and best practices
inferred← citeshttps://doi.org/10.1093/jamia/ocae120openalex-snapshot
Impact of high-quality, mixed-domain data on the performance of medical language models
inferred← citeshttps://doi.org/10.1109/access.2024.3521980openalex-snapshot
Enhancing DNN Computational Efficiency via Decomposition and Approximation
inferred← citeshttps://doi.org/10.1109/access.2025.3553870openalex-snapshot
Evaluating Coding Proficiency of Large Language Models: An Investigation Through Machine Learning Problems
inferred← citeshttps://doi.org/10.1109/acsac67867.2025.00091openalex-snapshot
MOEVIL: Poisoning Experts to Compromise the Safety of Mixture-of-Experts LLMs
inferred← citeshttps://doi.org/10.1109/aiccsa66935.2025.11315299openalex-snapshot
An Infrastructure for Managing AI Bias in Complex Web Systems
inferred← citeshttps://doi.org/10.1109/ainit65432.2025.11035928openalex-snapshot
Exploring and Enhancing Advanced MoE Models: From Deepspeed-MoE to DeepSeek-V3
inferred← citeshttps://doi.org/10.1109/asru65441.2025.11434611openalex-snapshot
OOQ: Outlier-Oriented Quantization for Efficient Large Language Models
inferred← citeshttps://doi.org/10.1109/bigdata62323.2024.10825098openalex-snapshot
HLAT: High-quality Large Language Model Pre-trained on AWS Trainium
inferred← citeshttps://doi.org/10.1109/ccgrid64434.2025.00059openalex-snapshot
A Sensitivity-Driven Expert Allocation Method in LoRA-MoE for Efficient Fine-Tuning
inferred← citeshttps://doi.org/10.1109/cicc63670.2025.10983416openalex-snapshot
Key, Value, Compress: A Systematic Exploration of KV Cache Compression Techniques
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01501openalex-snapshot
Natural Adversarial Examples
inferred← citeshttps://doi.org/10.1109/cvpr52734.2025.00886openalex-snapshot
ICP: Immediate Compensation Pruning for Mid-to-high Sparsity
inferred← citeshttps://doi.org/10.1109/cvprf71909.2026.00239openalex-snapshot
TransKV: A Data-Driven Pruning Method for Large Foundation Models
inferred← citeshttps://doi.org/10.1109/cvprf71909.2026.00248openalex-snapshot
PoM: A Linear-Time Replacement for Attention with the Polynomial Mixer
inferred← citeshttps://doi.org/10.1109/cvprf71909.2026.00680openalex-snapshot
Seeing Helps Reasoning in Language Models
inferred← citeshttps://doi.org/10.1109/cvprw59228.2023.00263openalex-snapshot
Is Multimodal Vision Supervision Beneficial to Language?
inferred← citeshttps://doi.org/10.1109/cvprw67362.2025.00019openalex-snapshot
ICT-QA: Question Answering Over Multi-Modal Contexts Including Image, Chart, and Text Modalities
inferred← citeshttps://doi.org/10.1109/dac63849.2025.11132816openalex-snapshot
DuoQ: A DSP Utilization-aware and Outlier-free Quantization for FPGA-based LLMs Acceleration
inferred← citeshttps://doi.org/10.1109/dac63849.2025.11133377openalex-snapshot
A Memory-Efficient LLM Accelerator with Q-K Correlation Prediction using Cluster-Based Associative Array for Selective KV Accessing
inferred← citeshttps://doi.org/10.1109/fccm62733.2025.00078openalex-snapshot
An Efficient FPGA-Based Hardware Accelerator of Fully Quantized Mamba-2
inferred← citeshttps://doi.org/10.1109/fie61694.2024.10892816openalex-snapshot
Exploring the Potential of Locally Run Large Language (AI) Models for Automated Grading in Introductory Computer Science Courses
inferred← citeshttps://doi.org/10.1109/gcwkshps68340.2025.11591138openalex-snapshot
Federated Fine-Tuning with Heterogeneous MLP-Pruned Large Language Models: An Architecture for Resource-Constrained Environments
inferred← citeshttps://doi.org/10.1109/gcwot69191.2026.11499662openalex-snapshot
Structured Pruning of LLMs for Resource-Constrained Devices: A Survey
inferred← citeshttps://doi.org/10.1109/hpca61900.2025.00075openalex-snapshot
TB-STC: Transposable Block-wise N:M Structured Sparse Tensor Core
inferred← citeshttps://doi.org/10.1109/hpca68181.2026.11408448openalex-snapshot
PADE: A Predictor-Free Sparse Attention Accelerator via Unified Execution and Stage Fusion
inferred← citeshttps://doi.org/10.1109/hpca68181.2026.11408453openalex-snapshot
GyRot: Leveraging Hidden Synergy Between Rotation and Fine-Grained Group Quantization for Low-Bit LLM Inference
inferred← citeshttps://doi.org/10.1109/ialp63756.2024.10661112openalex-snapshot
Resolving Chinese Anaphora with ChatGPT
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889733openalex-snapshot
LBPE: Long-token-first Tokenization to Improve Large Language Models
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10890716openalex-snapshot
QoKV: Comprehending and Surpassing the Hurdles of KV Cache Quantization
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11461222openalex-snapshot
Sparsity Induction for Accurate Post-Training Pruning of Large Language Models
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11461364openalex-snapshot
CORM: Coarse-To-Fine-Grained Offloading for Smoe LLM Inference on Consumer-Grade GPU
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11461731openalex-snapshot
KinGuard: Hierarchical Kinship-aware Fingerprinting to Defend Against Large Language Model Stealing
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11462278openalex-snapshot
PE-LoRA: Parameter-Efficient Bayesian Low-Rank Adaptation for Large Language Models
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11463800openalex-snapshot
Collaborative Compression for Large-Scale MoE Deployment on Edge
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11463927openalex-snapshot
DIRA: Deep High-Rank Adaptation of Pre-Trained Language Models
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11464391openalex-snapshot
ForgetMark: Stealthy Fingerprint Embedding via Targeted Unlearning in Language Models
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11464464openalex-snapshot
Two-Stage Grid Optimization for Group-Wise Quantization of LLMs
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11464789openalex-snapshot
Preserving Knowledge in Large Language Models Via Model-Agnostic Intrinsic Generative Replay
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11465076openalex-snapshot
Enhancing Post-Training Quantization via Future Activation Awareness
inferred← citeshttps://doi.org/10.1109/iccad66269.2025.11240811openalex-snapshot
ToMamba: Towards Token-Efficient Mamba Architecture on FPGA
inferred← citeshttps://doi.org/10.1109/iccad66269.2025.11240845openalex-snapshot
Robin: RWKV Accelerator using Block Circulant Matrices based on FPGA
inferred← citeshttps://doi.org/10.1109/iccc62609.2024.10941834openalex-snapshot
Reading Between the Lines: Commonsense Reasoning in Small Language Models
inferred← citeshttps://doi.org/10.1109/iccd65941.2025.00044openalex-snapshot
DualSpar: A Dual-Granularity Memory Framework with Adaptive Sparsity for Efficient LLM Inference
inferred← citeshttps://doi.org/10.1109/icce63647.2025.10930066openalex-snapshot
Performance Analysis of Prompt-Engineering Techniques for Large Language Model
inferred← citeshttps://doi.org/10.1109/iccps61052.2024.00026openalex-snapshot
Curating Naturally Adversarial Datasets for Learning-Enabled Medical Cyber-Physical Systems
inferred← citeshttps://doi.org/10.1109/iccv51701.2025.00426openalex-snapshot
Zeroth-Order Fine-Tuning of LLMs in Random Subspaces
inferred← citeshttps://doi.org/10.1109/icdm65498.2025.00082openalex-snapshot
Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models
inferred← citeshttps://doi.org/10.1109/icdmw69685.2025.00175openalex-snapshot
SVDLoRA: Data-Driven Low-Rank Adaptation via Spectral Decomposition
inferred← citeshttps://doi.org/10.1109/iceic61013.2024.10457111openalex-snapshot
Searching Optimal Floating-Point Format for Sub-8-Bit Large Language Model Inference
inferred← citeshttps://doi.org/10.1109/icetc66579.2025.11387416openalex-snapshot
Generative AI in Assessment and Feedback Generation in Higher Education: A Systematic Review
inferred← citeshttps://doi.org/10.1109/icise-ie64355.2024.11025434openalex-snapshot
Enhancing Multiple-Choice Question Answering with External Knowledge and Lightweight Model Optimization
inferred← citeshttps://doi.org/10.1109/icme59968.2025.11210035openalex-snapshot
Reinforced Model Merging
inferred← citeshttps://doi.org/10.1109/ieeedata.2025.3552083openalex-snapshot
Descriptor: Benchmark Dataset for Generative AI on Edge Devices (BeDGED)
inferred← citeshttps://doi.org/10.1109/iiai-aai-winter58034.2022.00033openalex-snapshot
Towards Strong Psychological Equivalence in Nartural Language Understanding
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11228461openalex-snapshot
LSAQ: Layer-Specific Adaptive Quantization for Large Language Model Deployment
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11229146openalex-snapshot
FlexFFN: Hierarchical Dynamic Selection of Feedforward Networks for Large Language Models
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11229416openalex-snapshot
Low-Rank Decomposition Assisted Quantization and Inference Compensation for Quality Large Language Model Inference
inferred← citeshttps://doi.org/10.1109/isca59077.2024.00077openalex-snapshot
ALISA: Accelerating Large Language Model Inference via Sparsity-Aware KV Caching
inferred← citeshttps://doi.org/10.1109/isca66397.2026.00037openalex-snapshot
Omni-LUT: Energy-Efficient LUT-Based Accelerator with Hardware-Aware KV Cache Quantization
inferred← citeshttps://doi.org/10.1109/isca66397.2026.00101openalex-snapshot
STEP: Adaptive Spatio-Temporal Expert Prefetching for Low-Latency and Memory-Efficient MoE Inference
inferred← citeshttps://doi.org/10.1109/isca66397.2026.00102openalex-snapshot
EVA: Accelerating LLM Decoding via an Efficient Vector Quantization Architecture
inferred← citeshttps://doi.org/10.1109/isca66397.2026.00176openalex-snapshot
UniCore: A Bit-Width Scalable GEMM Unit for Unified LLM Inference
inferred← citeshttps://doi.org/10.1109/iscas66217.2026.11562018openalex-snapshot
SLaB: Sparse-Lowrank-Binary Decomposition for Efficient Large Language Models
inferred← citeshttps://doi.org/10.1109/ispa67752.2025.00140openalex-snapshot
POU: Outlier Uniformity-Based Layer-Wise Pruning Method for Large Language Models
inferred← citeshttps://doi.org/10.1109/ithet61869.2024.10837635openalex-snapshot
Flexible LLM Experimental Infrastructure (Flexi) – Enabling Experimentation and Innovation in Higher Education Through Access to Open LLMs
inferred← citeshttps://doi.org/10.1109/iwqos61813.2024.10682949openalex-snapshot
SyncIntellects: Orchestrating LLM Inference with Progressive Prediction and QoS-Friendly Control
inferred← citeshttps://doi.org/10.1109/iwqos70441.2026.11661086openalex-snapshot
It Takes Two: Embracing Sparsity and Speculative Decoding for Efficient LLM Inference
inferred← citeshttps://doi.org/10.1109/jetcas.2025.3556443openalex-snapshot
Efficient Hardware Architecture Design for Rotary Position Embedding of Large Language Models
inferred← citeshttps://doi.org/10.1109/jetcas.2025.3562734openalex-snapshot
A Flexible Template for Edge Generative AI With High-Accuracy Accelerated Softmax and GELU
inferred← citeshttps://doi.org/10.1109/jiot.2024.3439574openalex-snapshot
Triple-Wise Perspective Knowledge Learning for Intelligent Machine Commonsense Reasoning
inferred← citeshttps://doi.org/10.1109/jstsp.2025.3568224openalex-snapshot
Reconstruct the Pruned Model Without Retraining
inferred← citeshttps://doi.org/10.1109/lcn60385.2024.10639641openalex-snapshot
Can LLMs Understand Computer Networks? Towards a Virtual System Administrator
inferred← citeshttps://doi.org/10.1109/mass66014.2025.00059openalex-snapshot
Characterizing and Understanding Energy Footprint and Efficiency of Small Language Model on Edges
inferred← citeshttps://doi.org/10.1109/micro61859.2024.00093openalex-snapshot
SOFA: A Compute-Memory Optimized Sparsity Accelerator via Cross-Stage Coordinated Tiling
inferred← citeshttps://doi.org/10.1109/micro61859.2024.00108openalex-snapshot
Cambricon-LLM: A Chiplet-Based Hybrid Architecture for On-Device Inference of 70B LLM
inferred← citeshttps://doi.org/10.1109/mind67540.2025.11351573openalex-snapshot
Hierarchical Subspace Adaptation for Efficient Fine-Tuning of Large Language Models
inferred← citeshttps://doi.org/10.1109/mm.2026.3701735openalex-snapshot
LLM.265: Video Codecs Are Secretly Tensor Codecs
inferred← citeshttps://doi.org/10.1109/prai62207.2024.10826600openalex-snapshot
Dynamic Low-Rank Adaptation Based Pruning Algorithm for Large Language Models
inferred← citeshttps://doi.org/10.1109/sc41406.2024.00081openalex-snapshot
LONG EXPOSURE: Accelerating Parameter-Efficient Fine-Tuning for LLMs under Shadowy Sparsity
inferred← citeshttps://doi.org/10.1109/sds60720.2024.00036openalex-snapshot
So you want your private LLM at home? A survey and benchmark of methods for efficient GPTs
inferred← citeshttps://doi.org/10.1109/smc58881.2025.11342731openalex-snapshot
SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs
inferred← citeshttps://doi.org/10.1109/taslpro.2025.3606231openalex-snapshot
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-Tuning
inferred← citeshttps://doi.org/10.1109/taslpro.2025.3613948openalex-snapshot
MixPQ: Joint Pruning and Quantization for Speech and Language Foundation Models Compression
inferred← citeshttps://doi.org/10.1109/taslpro.2026.3706023openalex-snapshot
AceQuant: An Activation-Centric Framework for High-Fidelity Low-Bit Quantization of LLMs
inferred← citeshttps://doi.org/10.1109/tc.2025.3628629openalex-snapshot
Accelerating LLM Inference via Low-Bit Fine-Grained Quantization Algorithm and Bit-Level Accelerator Co-Design
inferred← citeshttps://doi.org/10.1109/tc.2026.3666458openalex-snapshot
TRACE: Unlocking Effective CXL Bandwidth via Lossless Compression and Precision Scaling
inferred← citeshttps://doi.org/10.1109/tc.2026.3689022openalex-snapshot
Low Bit-Width LLM Acceleration via Symmetric Lookup Format and Compute-in-Decoding Paradigm
inferred← citeshttps://doi.org/10.1109/tcad.2025.3624278openalex-snapshot
MARCA-v2: Mamba Accelerator With Complementary State-Space Model Sparsity and Reconfigurable Architecture
inferred← citeshttps://doi.org/10.1109/tcad.2026.3663251openalex-snapshot
Beyond Uniform Approximation: Toward Efficient Computing in Logarithmic Number System for Large Language Models
inferred← citeshttps://doi.org/10.1109/tcsi.2024.3487486openalex-snapshot
A Generalize Hardware Debugging Approach for Large Language Models Semi-Synthetic, Datasets
inferred← citeshttps://doi.org/10.1109/tcsi.2025.3638831openalex-snapshot
FP2: A 2-bit Floating-Point Format for Edge-AI Inference and Fine-Tuning
inferred← citeshttps://doi.org/10.1109/tcsvt.2026.3680794openalex-snapshot
Open-Vocabulary SAM3D: Towards Training-Free Open-Vocabulary 3D Scene Understanding
inferred← citeshttps://doi.org/10.1109/tevc.2025.3613937openalex-snapshot
It’s Morphing Time: Unleashing the Potential of Multiple LLMs via Multiobjective Optimization
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3409620openalex-snapshot
An Efficient Platform for Numerical Modeling of Partial Differential Equations
inferred← citeshttps://doi.org/10.1109/tip.2025.3624968openalex-snapshot
ScaleNet: Scaling up Pretrained Neural Networks With Incremental Parameters
inferred← citeshttps://doi.org/10.1109/tkde.2026.3721883openalex-snapshot
Data and Knowledge Dual-Driven Text Embedding Approaches: A Survey
inferred← citeshttps://doi.org/10.1109/tmc.2025.3629756openalex-snapshot
Lightweight and Post-Training Structured Pruning for On-Device Large Language Models
inferred← citeshttps://doi.org/10.1109/tmc.2026.3689307openalex-snapshot
Fisher-Based Layer-Wise Adaptive Sparsification for Efficient Pruning of Large Language Models
inferred← citeshttps://doi.org/10.1109/tmc.2026.3697502openalex-snapshot
CALSI: Context-Aware Layer Skipping Inference for On-Device LLM Serving
inferred← citeshttps://doi.org/10.1109/tmc.2026.3711495openalex-snapshot
DWI: Efficient On-Device LLM Decoding Through Dynamic Width Selection on Nested Models
inferred← citeshttps://doi.org/10.1109/ton.2026.3704584openalex-snapshot
Efficient Mixture-of-Experts Model Inference at the Edge via Adaptive Expert Merging
inferred← citeshttps://doi.org/10.1109/tpami.2025.3544764openalex-snapshot
LoCo: Low-Bit Communication Adaptor for Large-Scale Model Training
inferred← citeshttps://doi.org/10.1109/tpami.2025.3554560openalex-snapshot
ONNXPruner: ONNX-Based General Model Pruning Adapter
inferred← citeshttps://doi.org/10.1109/tpami.2025.3593987openalex-snapshot
NUPES: Non-Uniform Post-Training Quantization via Power Exponent Search
inferred← citeshttps://doi.org/10.1109/tpami.2025.3599479openalex-snapshot
LR Quant+ : A Unified and Learnable Framework to Post-Training Quantization for Transformer-Based Large Foundation Models
showing the first 200 of 346 · page through all 346
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.