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A Survey of Conversational Search
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/asi.20495openalex-snapshot
Corpus‐based cross‐language information retrieval in retrieval of highly relevant documents
inferredcites →https://doi.org/10.1002/asi.24562openalex-snapshot
Analyzing clarification in asynchronous information‐seeking conversations
inferredcites →https://doi.org/10.1007/978-3-030-72113-8_39openalex-snapshot
Studying the Effectiveness of Conversational Search Refinement Through User Simulation
inferredcites →https://doi.org/10.1007/978-3-030-72113-8_41openalex-snapshot
User Engagement Prediction for Clarification in Search
inferredcites →https://doi.org/10.1007/978-3-030-99736-6_16openalex-snapshot
Search Clarification Selection via Query-Intent-Clarification Graph Attention
inferredcites →https://doi.org/10.1007/978-3-031-23080-6openalex-snapshot
Neural Approaches to Conversational Information Retrieval
inferredcites →https://doi.org/10.1007/978-3-031-28244-7_39openalex-snapshot
Investigating Conversational Agent Action in Legal Case Retrieval
inferredcites →https://doi.org/10.1007/978-3-031-56063-7_30openalex-snapshot
Estimating the Usefulness of Clarifying Questions and Answers for Conversational Search
inferredcites →https://doi.org/10.1007/978-3-031-73147-1openalex-snapshot
Information Access in the Era of Generative AI
inferredcites →https://doi.org/10.1007/s00521-024-10495-6openalex-snapshot
Large Language Models in Finance (FinLLMs)
inferredcites →https://doi.org/10.1007/s10462-026-11534-5openalex-snapshot
A survey on large language models with multilingualism: recent advances and new frontiers
inferredcites →https://doi.org/10.1007/s11432-024-4222-0openalex-snapshot
The rise and potential of large language model based agents: a survey
inferredcites →https://doi.org/10.1016/j.aiopen.2021.06.002openalex-snapshot
Advances and challenges in conversational recommender systems: A survey
inferredcites →https://doi.org/10.1016/j.artmed.2024.102938openalex-snapshot
MedExpQA: Multilingual benchmarking of Large Language Models for Medical Question Answering
inferredcites →https://doi.org/10.1016/j.csl.2022.101468openalex-snapshot
Goal-oriented conditional variational autoencoders for proactive and knowledge-aware conversational recommender system
inferredcites →https://doi.org/10.1016/j.ipm.2022.103051openalex-snapshot
Query Generation and Buffer Mechanism: Towards a better conversational agent for legal case retrieval
inferredcites →https://doi.org/10.1016/j.knosys.2022.110069openalex-snapshot
Multi-task learning with graph attention networks for multi-domain task-oriented dialogue systems
inferredcites →https://doi.org/10.1016/s0306-4573(00)00015-7openalex-snapshot
A probabilistic model of information retrieval: development and comparative experiments
inferredcites →https://doi.org/10.1093/bib/bbad493openalex-snapshot
Opportunities and challenges for ChatGPT and large language models in biomedicine and health
inferredcites →https://doi.org/10.1109/icosc.2019.8665549openalex-snapshot
13th IEEE International Conference on Semantic Computing ICSC 2019
inferredcites →https://doi.org/10.1109/icsc.2012.15openalex-snapshot
Acquiring Lexical Knowledge from Query Logs for Query Expansion in Patent Searching
inferredcites →https://doi.org/10.1109/saner53432.2022.00028openalex-snapshot
Generating Clarifying Questions for Query Refinement in Source Code Search
inferredcites →https://doi.org/10.1111/1911-3846.12832openalex-snapshot
FinBERT : A Large Language Model for Extracting Information from Financial Text*
inferredcites →https://doi.org/10.1111/raju.12114openalex-snapshot
Conversational Implicatures and Legal Texts
inferredcites →https://doi.org/10.1145/1390334.1390377openalex-snapshot
Selecting good expansion terms for pseudo-relevance feedback
inferredcites →https://doi.org/10.1145/1645953.1646289openalex-snapshot
Finding good feedback documents
inferredcites →https://doi.org/10.1145/2063576.2063767openalex-snapshot
Finding dimensions for queries
inferredcites →https://doi.org/10.1145/2484028.2484097openalex-snapshot
Extracting query facets from search results
inferredcites →https://doi.org/10.1145/2661829.2661964openalex-snapshot
Extending Faceted Search to the General Web
inferredcites →https://doi.org/10.1145/3020165.3020183openalex-snapshot
A Theoretical Framework for Conversational Search
inferredcites →https://doi.org/10.1145/3020165.3022144openalex-snapshot
How Do People Interact in Conversational Speech-Only Search Tasks
inferredcites →https://doi.org/10.1145/3274784.3274788openalex-snapshot
Research Frontiers in Information Retrieval
inferredcites →https://doi.org/10.1145/3331184.3331265openalex-snapshot
Asking Clarifying Questions in Open-Domain Information-Seeking Conversations
inferredcites →https://doi.org/10.1145/3340531.3418513openalex-snapshot
Generating Clarifying Questions in Conversational Search Systems
inferredcites →https://doi.org/10.1145/3366423.3380126openalex-snapshot
Generating Clarifying Questions for Information Retrieval
inferredcites →https://doi.org/10.1145/3394486.3403143openalex-snapshot
Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion
inferredcites →https://doi.org/10.1145/3397271.3401160openalex-snapshot
Analyzing and Learning from User Interactions for Search Clarification
inferredcites →https://doi.org/10.1145/3397271.3401268openalex-snapshot
Topic Propagation in Conversational Search
inferredcites →https://doi.org/10.1145/3397271.3401323openalex-snapshot
Few-Shot Generative Conversational Query Rewriting
inferredcites →https://doi.org/10.1145/3397271.3401419openalex-snapshot
Conversational Recommendation: Formulation, Methods, and Evaluation
inferredcites →https://doi.org/10.1145/3404835.3462856openalex-snapshot
Few-Shot Conversational Dense Retrieval
inferredcites →https://doi.org/10.1145/3404835.3462913openalex-snapshot
Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning
inferredcites →https://doi.org/10.1145/3404835.3462970openalex-snapshot
MMConv: An Environment for Multimodal Conversational Search across Multiple Domains
inferredcites →https://doi.org/10.1145/3404835.3463064openalex-snapshot
Conversational vs Traditional: Comparing Search Behavior and Outcome in Legal Case Retrieval
inferredcites →https://doi.org/10.1145/3404835.3463098openalex-snapshot
SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking
inferredcites →https://doi.org/10.1145/3432726openalex-snapshot
Conversations with Search Engines: SERP-based Conversational Response Generation
inferredcites →https://doi.org/10.1145/3446426openalex-snapshot
Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting
inferredcites →https://doi.org/10.1145/3451160openalex-snapshot
How Am I Doing?: Evaluating Conversational Search Systems Offline
inferredcites →https://doi.org/10.1145/3459637.3482164openalex-snapshot
Question Rewriting for Open-Domain Conversational QA
inferredcites →https://doi.org/10.1145/3459637.3482199openalex-snapshot
Template-guided Clarifying Question Generation for Web Search Clarification
inferredcites →https://doi.org/10.1145/3459637.3482445openalex-snapshot
Learning Multiple Intent Representations for Search Queries
inferredcites →https://doi.org/10.1145/3469595.3469620openalex-snapshot
StockBabble: A Conversational Financial Agent to support Stock Market Investors
inferredcites →https://doi.org/10.1145/3471158.3472257openalex-snapshot
Towards Facet-Driven Generation of Clarifying Questions for Conversational Search
inferredcites →https://doi.org/10.1145/3477495.3531769openalex-snapshot
Zero-shot Query Contextualization for Conversational Search
inferredcites →https://doi.org/10.1145/3477495.3531871openalex-snapshot
Interactive Query Clarification and Refinement via User Simulation
inferredcites →https://doi.org/10.1145/3477495.3531961openalex-snapshot
Curriculum Contrastive Context Denoising for Few-shot Conversational Dense Retrieval
inferredcites →https://doi.org/10.1145/3477495.3531981openalex-snapshot
Generating Clarifying Questions with Web Search Results
inferredcites →https://doi.org/10.1145/3485447.3512088openalex-snapshot
Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation
inferredcites →https://doi.org/10.1145/3488560.3498440openalex-snapshot
Evaluating Mixed-initiative Conversational Search Systems via User Simulation
inferredcites →https://doi.org/10.1145/3498366openalex-snapshot
ACM SIGIR Conference on Human Information Interaction and Retrieval
inferredcites →https://doi.org/10.1145/3498557openalex-snapshot
Dynamic Graph Reasoning for Conversational Open-Domain Question Answering
inferredcites →https://doi.org/10.1145/3507357openalex-snapshot
Simulating and Modeling the Risk of Conversational Search
inferredcites →https://doi.org/10.1145/3511808.3557666openalex-snapshot
Stochastic Optimization of Text Set Generation for Learning Multiple Query Intent Representations
inferredcites →https://doi.org/10.1145/3534965openalex-snapshot
How to Approach Ambiguous Queries in Conversational Search: A Survey of Techniques, Approaches, Tools, and Challenges
inferredcites →https://doi.org/10.1145/3539618.3591682openalex-snapshot
Explainable Conversational Question Answering over Heterogeneous Sources via Iterative Graph Neural Networks
inferredcites →https://doi.org/10.1145/3539618.3591683openalex-snapshot
Exploiting Simulated User Feedback for Conversational Search: Ranking, Rewriting, and Beyond
inferredcites →https://doi.org/10.1145/3539618.3591883openalex-snapshot
MG-ShopDial: A Multi-Goal Conversational Dataset for e-Commerce
inferredcites →https://doi.org/10.1145/3539618.3591919openalex-snapshot
Query Performance Prediction: From Ad-hoc to Conversational Search
inferredcites →https://doi.org/10.1145/3539618.3592002openalex-snapshot
Improving Conversational Passage Re-ranking with View Ensemble
inferredcites →https://doi.org/10.1145/3539618.3592009openalex-snapshot
Learning to Ask Clarification Questions with Spatial Reasoning
inferredcites →https://doi.org/10.1145/3539618.3592041openalex-snapshot
Priming and Actions: An Analysis in Conversational Search Systems
inferredcites →https://doi.org/10.1145/3539813.3545126openalex-snapshot
Evaluating the Cranfield Paradigm for Conversational Search Systems
inferredcites →https://doi.org/10.1145/3539813.3545138openalex-snapshot
Revisiting Open Domain Query Facet Extraction and Generation
inferredcites →https://doi.org/10.1145/3543507.3583265openalex-snapshot
Learning Denoised and Interpretable Session Representation for Conversational Search
inferredcites →https://doi.org/10.1145/3543507.3583420openalex-snapshot
Zero-shot Clarifying Question Generation for Conversational Search
inferredcites →https://doi.org/10.1145/3578337.3605123openalex-snapshot
Clarifying Questions in Math Information Retrieval
inferredcites →https://doi.org/10.1145/3580305.3599389openalex-snapshot
Improving Search Clarification with Structured Information Extracted from Search Results
inferredcites →https://doi.org/10.1145/3580305.3599411openalex-snapshot
Learning to Relate to Previous Turns in Conversational Search
inferredcites →https://doi.org/10.1145/3583780.3614812openalex-snapshot
CLosER: Conversational Legal Longformer with Expertise-Aware Passage Response Ranker for Long Contexts
inferredcites →https://doi.org/10.1145/3583780.3614953openalex-snapshot
Leveraging Event Schema to Ask Clarifying Questions for Conversational Legal Case Retrieval
inferredcites →https://doi.org/10.1145/3583780.3615070openalex-snapshot
System Initiative Prediction for Multi-turn Conversational Information Seeking
inferredcites →https://doi.org/10.1145/3583780.3615132openalex-snapshot
Towards Filling the Gap in Conversational Search: From Passage Retrieval to Conversational Response Generation
inferredcites →https://doi.org/10.1145/3589334.3645424openalex-snapshot
Mining Exploratory Queries for Conversational Search
inferredcites →https://doi.org/10.1145/3589334.3645447openalex-snapshot
An In-depth Investigation of User Response Simulation for Conversational Search
inferredcites →https://doi.org/10.1145/3589334.3645483openalex-snapshot
Asking Multimodal Clarifying Questions in Mixed-Initiative Conversational Search
inferredcites →https://doi.org/10.1145/3589334.3645643openalex-snapshot
Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries
inferredcites →https://doi.org/10.1145/3589334.3645676openalex-snapshot
Benchmark and Neural Architecture for Conversational Entity Retrieval from a Knowledge Graph
inferredcites →https://doi.org/10.1145/3589334.3645712openalex-snapshot
Generating Multi-turn Clarification for Web Information Seeking
inferredcites →https://doi.org/10.1145/3589335.3651940openalex-snapshot
ConvSDG: Session Data Generation for Conversational Search
inferredcites →https://doi.org/10.1145/3613905openalex-snapshot
Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
inferredcites →https://doi.org/10.1145/3616855.3635730openalex-snapshot
Leveraging User Simulation to Develop and Evaluate Conversational Information Access Agents
inferredcites →https://doi.org/10.1145/3624918.3625332openalex-snapshot
A Comparative Study of Training Objectives for Clarification Facet Generation
inferredcites →https://doi.org/10.1145/3626772.3657672openalex-snapshot
CoSearchAgent: A Lightweight Collaborative Search Agent with Large Language Models
inferredcites →https://doi.org/10.1145/3626772.3657815openalex-snapshot
Doing Personal LAPS: LLM-Augmented Dialogue Construction for Personalized Multi-Session Conversational Search
inferredcites →https://doi.org/10.1145/3626772.3657834openalex-snapshot
The Power of Noise: Redefining Retrieval for RAG Systems
inferredcites →https://doi.org/10.1145/3626772.3657843openalex-snapshot
Towards Human-centered Proactive Conversational Agents
inferredcites →https://doi.org/10.1145/3626772.3657869openalex-snapshot
ProCIS: A Benchmark for Proactive Retrieval in Conversations
inferredcites →https://doi.org/10.1145/3626772.3657957openalex-snapshot
Evaluating Retrieval Quality in Retrieval-Augmented Generation
inferredcites →https://doi.org/10.1145/3626772.3657980openalex-snapshot
Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check
inferredcites →https://doi.org/10.1145/3627673.3679534openalex-snapshot
Aligning Query Representation with Rewritten Query and Relevance Judgments in Conversational Search
inferredcites →https://doi.org/10.1145/3627673.3679939openalex-snapshot
How to Leverage Personal Textual Knowledge for Personalized Conversational Information Retrieval
inferredcites →https://doi.org/10.1145/366836.366860openalex-snapshot
An information-theoretic approach to automatic query expansion
inferredcites →https://doi.org/10.1145/3696410.3714805openalex-snapshot
MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation
inferredcites →https://doi.org/10.1145/3726302.3730316openalex-snapshot
Conversational Gold: Evaluating Personalized Conversational Search System Using Gold Nuggets
inferredcites →https://doi.org/10.1145/3736402openalex-snapshot
Query Performance Prediction Using Relevance Judgments Generated by Large Language Models
inferredcites →https://doi.org/10.1145/3737821openalex-snapshot
Adjunct Proceedings of the 27th International Conference on Mobile Human-Computer Interaction
inferredcites →https://doi.org/10.1145/3748304openalex-snapshot
Large Language Models for Information Retrieval: A Survey
inferredcites →https://doi.org/10.1162/tacl_a_00471openalex-snapshot
TopiOCQA: Open-domain Conversational Question Answering with Topic Switching
inferredcites →https://doi.org/10.13140/rg.2.2.21329.54884openalex-snapshot
Leveraging Large Language Models in Conversational Recommender Systems
inferredcites →https://doi.org/10.1561/1500000081openalex-snapshot
Conversational Information Seeking
inferredcites →https://doi.org/10.1561/1500000098openalex-snapshot
User Simulation for Evaluating Information Access Systems
inferredcites →https://doi.org/10.1561/9781638283799openalex-snapshot
User Simulation for Evaluating Information Access Systems
inferredcites →https://doi.org/10.1609/aaai.v38i16.29723openalex-snapshot
MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models
inferredcites →https://doi.org/10.1609/aaai.v38i17.29907openalex-snapshot
Zhongjing: Enhancing the Chinese Medical Capabilities of Large Language Model through Expert Feedback and Real-World Multi-Turn Dialogue
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.651openalex-snapshot
ClarQ: A large-scale and diverse dataset for Clarification Question Generation
inferredcites →https://doi.org/10.18653/v1/2020.coling-main.365openalex-snapshot
Towards Topic-Guided Conversational Recommender System
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.354openalex-snapshot
Making Information Seeking Easier: An Improved Pipeline for Conversational Search
inferredcites →https://doi.org/10.18653/v1/2021.acl-short.130openalex-snapshot
Towards a more Robust Evaluation for Conversational Question Answering
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.367openalex-snapshot
Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.44openalex-snapshot
Open-domain clarification question generation without question examples
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.498openalex-snapshot
MultiDoc2Dial: Modeling Dialogues Grounded in Multiple Documents
inferredcites →https://doi.org/10.18653/v1/2021.naacl-main.44openalex-snapshot
Open-Domain Question Answering Goes Conversational via Question Rewriting
inferredcites →https://doi.org/10.18653/v1/2022.acl-long.290openalex-snapshot
MMCoQA: Conversational Question Answering over Text, Tables, and Images
inferredcites →https://doi.org/10.18653/v1/2022.dialdoc-1.4openalex-snapshot
Pseudo Ambiguous and Clarifying Questions Based on Sentence Structures Toward Clarifying Question Answering System
inferredcites →https://doi.org/10.18653/v1/2022.dialdoc-1.7openalex-snapshot
Conversational Search with Mixed-Initiative - Asking Good Clarification Questions backed-up by Passage Retrieval
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-demos.15openalex-snapshot
MedConQA: Medical Conversational Question Answering System based on Knowledge Graphs
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-industry.36openalex-snapshot
Reinforced Question Rewriting for Conversational Question Answering
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.190openalex-snapshot
ConvTrans: Transforming Web Search Sessions for Conversational Dense Retrieval
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.307openalex-snapshot
Retrieval-Augmented Generative Question Answering for Event Argument Extraction
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.311openalex-snapshot
Explicit Query Rewriting for Conversational Dense Retrieval
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.421openalex-snapshot
ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.469openalex-snapshot
PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.485openalex-snapshot
monoQA: Multi-Task Learning of Reranking and Answer Extraction for Open-Retrieval Conversational Question Answering
inferredcites →https://doi.org/10.18653/v1/2022.findings-aclopenalex-snapshot
Findings of the Association for Computational Linguistics: ACL 2022
inferredcites →https://doi.org/10.18653/v1/2022.findings-emnlp.131openalex-snapshot
Doc2Bot: Accessing Heterogeneous Documents via Conversational Bots
inferredcites →https://doi.org/10.18653/v1/2022.findings-emnlp.381openalex-snapshot
FocusQA: Open-Domain Question Answering with a Context in Focus
inferredcites →https://doi.org/10.18653/v1/2022.findings-naacl.158openalex-snapshot
Learning to Execute Actions or Ask Clarification Questions
inferredcites →https://doi.org/10.18653/v1/2023.acl-industry.20openalex-snapshot
Tab-CQA: A Tabular Conversational Question Answering Dataset on Financial Reports
inferredcites →https://doi.org/10.18653/v1/2023.acl-long.274openalex-snapshot
ConvGQR: Generative Query Reformulation for Conversational Search
inferredcites →https://doi.org/10.18653/v1/2023.acl-long.630openalex-snapshot
ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations
inferredcites →https://doi.org/10.18653/v1/2023.acl-long.799openalex-snapshot
Python Code Generation by Asking Clarification Questions
inferredcites →https://doi.org/10.18653/v1/2023.conll-1.21openalex-snapshot
Med-HALT: Medical Domain Hallucination Test for Large Language Models
inferredcites →https://doi.org/10.18653/v1/2023.eacl-main.206openalex-snapshot
The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.326openalex-snapshot
PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.398openalex-snapshot
Enabling Large Language Models to Generate Text with Citations
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.585openalex-snapshot
Query2doc: Query Expansion with Large Language Models
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.621openalex-snapshot
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.63openalex-snapshot
Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Models
inferredcites →https://doi.org/10.18653/v1/2023.findings-acl.256openalex-snapshot
Search-Oriented Conversational Query Editing
inferredcites →https://doi.org/10.18653/v1/2023.findings-acl.355openalex-snapshot
A Customized Text Sanitization Mechanism with Differential Privacy
inferredcites →https://doi.org/10.18653/v1/2023.findings-acl.374openalex-snapshot
Phrase Retrieval for Open Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive Learning
inferredcites →https://doi.org/10.18653/v1/2023.findings-emnlpopenalex-snapshot
Findings of the Association for Computational Linguistics: EMNLP 2023
inferredcites →https://doi.org/10.18653/v1/2023.findings-emnlp.367openalex-snapshot
Decomposing Complex Queries for Tip-of-the-tongue Retrieval
inferredcites →https://doi.org/10.18653/v1/2023.findings-emnlp.398openalex-snapshot
Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting
inferredcites →https://doi.org/10.18653/v1/2023.findings-emnlp.443openalex-snapshot
InstructoR: Instructing Unsupervised Conversational Dense Retrieval with Large Language Models
inferredcites →https://doi.org/10.18653/v1/2023.findings-emnlp.590openalex-snapshot
Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking
inferredcites →https://doi.org/10.18653/v1/2023.findings-emnlp.710openalex-snapshot
Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!
inferredcites →https://doi.org/10.18653/v1/2023.findings-emnlp.772openalex-snapshot
Asking Clarification Questions to Handle Ambiguity in Open-Domain QA
inferredcites →https://doi.org/10.18653/v1/2023.findings-emnlp.85openalex-snapshot
MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language Model
inferredcites →https://doi.org/10.18653/v1/2023.findings-emnlp.86openalex-snapshot
Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search
inferredcites →https://doi.org/10.18653/v1/2023.sigdial-1.34openalex-snapshot
CONVERSER: Few-shot Conversational Dense Retrieval with Synthetic Data Generation
inferredcites →https://doi.org/10.18653/v1/2024.acl-long.149openalex-snapshot
Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation
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Interpreting Conversational Dense Retrieval by Rewriting-Enhanced Inversion of Session Embedding
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On the Multi-turn Instruction Following for Conversational Web Agents
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Asking the Right Question at the Right Time: Human and Model Uncertainty Guidance to Ask Clarification Questions
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CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search
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A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models
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Task-Oriented Query Reformulation with Reinforcement Learning
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Towards Knowledge-Based Recommender Dialog System
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Can You Unpack That? Learning to Rewrite Questions-in-Context
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Recent Query Reformulation Approaches for Information Retrieval System - A Survey
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Abg-CoQA: Clarifying Ambiguity in Conversational Question Answering
inferredcites →https://doi.org/10.24963/ijcai.2023/583openalex-snapshot
TITAN : Task-oriented Dialogues with Mixed-Initiative Interactions
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Towards Better Understanding of User Satisfaction in Open-Domain Conversational Search
inferredcites →https://doi.org/10.48550/arxiv.2207.00746openalex-snapshot
INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactions
inferredcites →https://doi.org/10.48550/arxiv.2301.04413openalex-snapshot
CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval
inferredcites →https://doi.org/10.48550/arxiv.2304.08247openalex-snapshot
MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data
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Clinical Camel: An Open Expert-Level Medical Language Model with Dialogue-Based Knowledge Encoding
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Towards Asking Clarification Questions for Information Seeking on Task-Oriented Dialogues
inferredcites →https://doi.org/10.48550/arxiv.2305.14283openalex-snapshot
Query Rewriting for Retrieval-Augmented Large Language Models
inferredcites →https://doi.org/10.48550/arxiv.2308.08155openalex-snapshot
AIKernel Semantic DSL Compiler and Deterministic Agent Execution Architecture
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DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation
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RA-DIT: Retrieval-Augmented Dual Instruction Tuning
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Eliciting Human Preferences with Language Models
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Study on Deep Hierarchical Neural Model Within the RAG Framework for Multi-Turn Response Generation
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A Comparative Study of Conversational and Conventional Search Methods for Image Retrieval
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Stuck on the First Answer? Auditing Primacy Bias in Multi-Turn LLM Preference Revision via Causal Masking
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Towards a General Intelligent Information Agent: Framework, Models, and Evaluation
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Do Simulated Users Need to Remember? Analyzing the Impact of Memory Models in Conversational Search Evaluation
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Internalizing Explicit Reasoning into Latent Space for Dense Retrieval
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CroSearch-R1: Better Leveraging Cross-lingual Knowledge for Retrieval-Augmented Generation
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Learning to Route Queries to Heads for Attention-based Re-ranking with Large Language Models
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Who Is Shopping With You? How Persona Design Shapes Cognitive and Social Engagement in AI Shopping Agents
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Toward Exploring Mixed-Initiative Conversation Generation Based on Community Question Answering
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Agentenbasierte Fahrgastinformationssysteme für den ÖPNV
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Assessing the Capability of Large Language Models for Navigation of the Australian Healthcare System: A Comparative Study (Preprint)
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When Advice Becomes Infrastructure: Ethical Governance of Conversational AI in Psychoactive Substance Information Ecosystems
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