On the public citation graph
CRP-RAG: A Retrieval-Augmented Generation Framework for Supporting Complex Logical Reasoning and Knowledge Planning
0 signed · 68 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.
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known work and none has been retracted — and get a dated CiteStamped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.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1111/coin.12654openalex-snapshot
A novel feature integration method for named entity recognition model in product titles
inferredcites →https://doi.org/10.1145/3383123openalex-snapshot
Challenges in Building Intelligent Open-domain Dialog Systems
inferredcites →https://doi.org/10.1145/3580305.3599273openalex-snapshot
CFGL-LCR: A Counterfactual Graph Learning Framework for Legal Case Retrieval
inferredcites →https://doi.org/10.1145/3626772.3657834openalex-snapshot
The Power of Noise: Redefining Retrieval for RAG Systems
inferredcites →https://doi.org/10.1145/3626772.3661370openalex-snapshot
Retrieval-Augmented Generation with Knowledge Graphs for Customer Service Question Answering
inferredcites →https://doi.org/10.1162/tacl_a_00276openalex-snapshot
Natural Questions: A Benchmark for Question Answering Research
inferredcites →https://doi.org/10.1162/tacl_a_00605openalex-snapshot
In-Context Retrieval-Augmented Language Models
inferredcites →https://doi.org/10.1609/aaai.v38i16.29720openalex-snapshot
Graph of Thoughts: Solving Elaborate Problems with Large Language Models
inferredcites →https://doi.org/10.1609/aaai.v38i17.29928openalex-snapshot
Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models
inferredcites →https://doi.org/10.18653/v1/2020.coling-main.580openalex-snapshot
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
inferredcites →https://doi.org/10.18653/v1/2021.acl-long.316openalex-snapshot
Generation-Augmented Retrieval for Open-Domain Question Answering
inferredcites →https://doi.org/10.18653/v1/2023.acl-long.557openalex-snapshot
Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions
inferredcites →https://doi.org/10.18653/v1/2023.findings-emnlp.48openalex-snapshot
ReFSQL: A Retrieval-Augmentation Framework for Text-to-SQL Generation
inferredcites →https://doi.org/10.18653/v1/2023.findings-emnlp.620openalex-snapshot
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy
inferredcites →https://doi.org/10.18653/v1/2023.ijcnlp-main.45openalex-snapshot
A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity
inferredcites →https://doi.org/10.18653/v1/2024.acl-long.108openalex-snapshot
M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions
inferredcites →https://doi.org/10.18653/v1/2024.acl-long.128openalex-snapshot
CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning
inferredcites →https://doi.org/10.18653/v1/2024.acl-long.397openalex-snapshot
Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering
inferredcites →https://doi.org/10.18653/v1/2024.acl-long.517openalex-snapshot
Synergistic Interplay between Search and Large Language Models for Information Retrieval
inferredcites →https://doi.org/10.18653/v1/2024.acl-long.702openalex-snapshot
DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models
inferredcites →https://doi.org/10.18653/v1/2024.findings-acl.281openalex-snapshot
RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback
inferredcites →https://doi.org/10.18653/v1/2024.findings-acl.42openalex-snapshot
BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting Evidence
inferredcites →https://doi.org/10.18653/v1/2024.findings-emnlp.607openalex-snapshot
Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation
inferredcites →https://doi.org/10.18653/v1/2024.findings-emnlp.844openalex-snapshot
LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments
inferredcites →https://doi.org/10.18653/v1/d13-1160openalex-snapshot
Semantic Parsing on Freebase from Question-Answer Pairs
inferredcites →https://doi.org/10.18653/v1/d18-1259openalex-snapshot
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
inferredcites →https://doi.org/10.18653/v1/n18-1074openalex-snapshot
FEVER: a Large-scale Dataset for Fact Extraction and VERification
inferredcites →https://doi.org/10.18653/v1/p17-1147openalex-snapshot
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
inferredcites →https://doi.org/10.4230/lipics.esem.2026.1openalex-snapshot
CareerX: A Retrieval-Augmented Generation Framework for Personalized AI-Driven Career Guidance
inferredcites →https://doi.org/10.48550/arxiv.2005.11401openalex-snapshot
Affordance-Compiled Intelligence: Observable-Only Cognitive Impedance Matching for No-Meta LLM-Integrated Systems
inferredcites →https://doi.org/10.48550/arxiv.2201.11903openalex-snapshot
BNAI, NO-TOKEN, and MIND-UNITY: Pillars of a Systemic Revolution in Artificial Intelligence
inferredcites →https://doi.org/10.48550/arxiv.2203.02155openalex-snapshot
Discernment and Social Learning as a Companion Training Layer
inferredcites →https://doi.org/10.48550/arxiv.2203.11171openalex-snapshot
Self-Consistency Improves Chain of Thought Reasoning in Language Models
inferredcites →https://doi.org/10.48550/arxiv.2204.02311openalex-snapshot
PaLM: Scaling Language Modeling with Pathways
inferredcites →https://doi.org/10.48550/arxiv.2210.03493openalex-snapshot
Automatic Chain of Thought Prompting in Large Language Models
inferredcites →https://doi.org/10.48550/arxiv.2310.01558openalex-snapshot
Making Retrieval-Augmented Language Models Robust to Irrelevant Context
inferredcites →https://doi.org/10.48550/arxiv.2310.04406openalex-snapshot
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
inferredcites →https://doi.org/10.48550/arxiv.2401.18059openalex-snapshot
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
inferredcites →https://doi.org/10.48550/arxiv.2404.13081openalex-snapshot
SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs
inferredcites →https://doi.org/10.52202/068431-1613openalex-snapshot
Large Language Models Are Zero-Shot Reasoners
inferredcites →https://doi.org/10.52202/075280-0517openalex-snapshot
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-032-25267-8_12openalex-snapshot
When Paraconsistent Logic Meets Large Language Models: Resilient Decision Support Systems for Uncertain and Contradictory Environments
inferred← citeshttps://doi.org/10.1007/978-981-92-3563-6_3openalex-snapshot
RoR-CV: A Reasoning-Enhanced Large Language Model Recommendation System for Financial Scenarios with Integrated Computer Vision
inferred← citeshttps://doi.org/10.1007/s13735-026-00413-yopenalex-snapshot
AILMIR: Agent and incremental learning-based multimodal information retrieval for complex multi-hop multimedia queries
inferred← citeshttps://doi.org/10.1007/s40747-025-01985-8openalex-snapshot
Efficient knowledge graph to text powered by LLGM: linear latent graph model
inferred← citeshttps://doi.org/10.1007/s40747-026-02259-7openalex-snapshot
A multi agent collaborative framework for style guided knowledge reorganization of scientific source texts
inferred← citeshttps://doi.org/10.1016/j.asoc.2026.116083openalex-snapshot
Large language models for aspect-based sentiment analysis in e-commerce: A review
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104147openalex-snapshot
Retriever-generator-verification: A novel approach to enhancing factual coherence in open-domain question answering
inferred← citeshttps://doi.org/10.1016/j.jjimei.2025.100366openalex-snapshot
Retrieving and discovering new knowledge from documents' abstracts in scientific databases: Proposing a query-based abstractive summarization model
inferred← citeshttps://doi.org/10.1108/bpmj-08-2025-1254openalex-snapshot
BPMN DMN decision table generation based on agentic AI for critical applications
inferred← citeshttps://doi.org/10.1109/cac67268.2025.11487090openalex-snapshot
A Cognitive-RAG Framework for Task Planning and Decision Generation
inferred← citeshttps://doi.org/10.1109/cars67163.2025.11337261openalex-snapshot
Fake News Detection in Bangladesh Using GPT-4 with Retrieval-Augmented Generation
inferred← citeshttps://doi.org/10.1109/icdmw69685.2025.00276openalex-snapshot
Synergizing Dynamic Symbolic Rules and Few-Shot Learning for Discrete Reasoning in Hybrid QA
inferred← citeshttps://doi.org/10.1109/icetsis68266.2026.11549183openalex-snapshot
Reducing Hallucinations in Multi-Hop Question Answering Using Wikidata-Based Retrieval-Augmented Generation
inferred← citeshttps://doi.org/10.1109/icmet67594.2025.11451842openalex-snapshot
Mitigating Artificial Intelligence Hallucinations in Education: A Comparative Study of Retrieval-Augmented Generation (RAG) and Large Language Models
inferred← citeshttps://doi.org/10.1145/3774935.3803064openalex-snapshot
Causal Reasoning Augmented Agents for Adaptive and Explainable Knowledge Retrieval
inferred← citeshttps://doi.org/10.1145/3813822.3814116openalex-snapshot
AgriMAS: Multi-Agent Collaborative Framework with Retrieval-Augmented Generation for Agricultural Product Marketing Content Generation
inferred← citeshttps://doi.org/10.1371/journal.pdig.0001182openalex-snapshot
The economics of accuracy for medical reasoning with large language models
inferred← citeshttps://doi.org/10.3390/ai6030050openalex-snapshot
A Multimodal Framework Embedding Retrieval-Augmented Generation with MLLMs for Eurobarometer Data
inferred← citeshttps://doi.org/10.3390/electronics14152925openalex-snapshot
An Information-Theoretic Framework for Retrieval-Augmented Generation Systems
inferred← citeshttps://doi.org/10.3390/electronics14153095openalex-snapshot
Design and Performance Evaluation of LLM-Based RAG Pipelines for Chatbot Services in International Student Admissions
inferred← citeshttps://doi.org/10.3390/electronics15071445openalex-snapshot
HG-RAG: Hierarchical Graph-Enhanced Retrieval-Augmented Generation for Power Systems
inferred← citeshttps://doi.org/10.3390/electronics15143191openalex-snapshot
A Knowledge Graph-Enhanced Multi-Agent Framework for Water-Saving Strategy Generation Under Rigid Water Resource Constraints
inferred← citeshttps://doi.org/10.3390/informatics13060082openalex-snapshot
Framework for Evaluating LLM Performance in Undergraduate Calculus
inferred← citeshttps://doi.org/10.3390/jcp5030055openalex-snapshot
Leveraging Large Language Models for Scalable and Explainable Cybersecurity Log Analysis
inferred← citeshttps://doi.org/10.3390/make8060155openalex-snapshot
A Sovereign Conversational Assistant Powered by ALIA and Mistral for the AI Act Age: Architecture, Governance, and Evaluation
inferred← citeshttps://doi.org/10.3390/pr13092680openalex-snapshot
A Comparative Review of Large Language Models in Engineering with Emphasis on Chemical Engineering Applications
inferred← citeshttps://doi.org/10.3390/s25113352openalex-snapshot
Augmenting Orbital Debris Identification with Neo4j-Enabled Graph-Based Retrieval-Augmented Generation for Multimodal Large Language Models
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.