{"total":78,"rows":[{"id":"2112.07899","title":"Large Dual Encoders Are Generalizable Retrievers","created":"2021-12-15","cited_by_count":456,"area":null},{"id":"2101.00774","title":"Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering","created":"2021-01-04","cited_by_count":178,"area":null},{"id":"2110.00768","title":"TopiOCQA: Open-domain Conversational Question Answering with Topic Switching","created":"2021-10-02","cited_by_count":96,"area":null},{"id":"2112.08558","title":"CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning","created":"2021-12-16","cited_by_count":68,"area":null},{"id":"2305.15645","title":"ConvGQR: Generative Query Reformulation for Conversational Search","created":"2023-05-25","cited_by_count":59,"area":null},{"id":"2205.09073","title":"Dialog Inpainting: Turning Documents into Dialogs","created":"2022-05-18","cited_by_count":56,"area":null},{"id":"2109.12595","title":"MultiDoc2Dial: Modeling Dialogues Grounded in Multiple Documents","created":"2021-09-26","cited_by_count":53,"area":null},{"id":"2201.05176","title":"Neural Approaches to Conversational Information Retrieval","created":"2022-01-13","cited_by_count":42,"area":null},{"id":"2106.00874","title":"Conversational Question Answering: A Survey","created":"2021-06-02","cited_by_count":31,"area":null},{"id":"2105.06071","title":"Semi-Supervised Variational Reasoning for Medical Dialogue Generation","created":"2021-05-13","cited_by_count":30,"area":null},{"id":"2406.05013","title":"CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search","created":"2024-06-07","cited_by_count":29,"area":null},{"id":"2106.11575","title":"Learn to Resolve Conversational Dependency: A Consistency Training Framework for Conversational Question Answering","created":"2021-06-22","cited_by_count":27,"area":null},{"id":"2204.11677","title":"Conversational Question Answering on Heterogeneous Sources","created":"2022-04-25","cited_by_count":26,"area":null},{"id":"2306.02553","title":"Learning to Relate to Previous Turns in Conversational Search","created":"2023-06-05","cited_by_count":26,"area":null},{"id":"2312.17257","title":"Personalized Large Language Model Assistant with Evolving Conditional Memory","created":"2023-12-22","cited_by_count":25,"area":null},{"id":"2410.15576","title":"A Survey of Conversational Search","created":"2024-10-21","cited_by_count":22,"area":null},{"id":"2112.08812","title":"Ditch the Gold Standard: Re-evaluating Conversational Question Answering","created":"2021-12-16","cited_by_count":19,"area":null},{"id":"2202.07280","title":"Saving Dense Retriever from Shortcut Dependency in Conversational Search","created":"2022-02-15","cited_by_count":19,"area":null},{"id":"2105.04850","title":"Reinforcement Learning from Reformulations in Conversational Question Answering over Knowledge Graphs","created":"2021-05-11","cited_by_count":18,"area":null},{"id":"2112.03572","title":"Question Answering Survey: Directions, Challenges, Datasets, Evaluation Matrices","created":"2021-12-07","cited_by_count":17,"area":null},{"id":"2205.12609","title":"Generating Information-Seeking Conversations from Unlabeled Documents","created":"2022-05-25","cited_by_count":17,"area":null},{"id":"2305.10923","title":"Query Performance Prediction: From Ad-hoc to Conversational Search","created":"2023-05-18","cited_by_count":16,"area":null},{"id":"2407.01965","title":"AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval Alignment","created":"2024-07-02","cited_by_count":14,"area":null},{"id":"2206.14796","title":"On the Robustness of Dialogue History Representation in Conversational Question Answering: A Comprehensive Study and a New Prompt-based Method","created":"2022-06-29","cited_by_count":12,"area":null},{"id":"2507.07030","title":"UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations","created":"2025-07-09","cited_by_count":12,"area":null},{"id":"2102.08633","title":"Open-Retrieval Conversational Machine Reading","created":"2021-02-17","cited_by_count":11,"area":null},{"id":"2407.12982","title":"Retrieval-Enhanced Machine Learning: Synthesis and Opportunities","created":"2024-07-17","cited_by_count":11,"area":null},{"id":"2407.16192","title":"How to Leverage Personal Textual Knowledge for Personalized Conversational Information Retrieval","created":"2024-07-23","cited_by_count":11,"area":null},{"id":"2407.20189","title":"Aligning Query Representation with Rewritten Query and Relevance Judgments in Conversational Search","created":"2024-07-29","cited_by_count":11,"area":null},{"id":"2310.13265","title":"MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language Model","created":"2023-10-20","cited_by_count":10,"area":null},{"id":"2311.07589","title":"Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources","created":"2023-11-09","cited_by_count":9,"area":null},{"id":"2211.09401","title":"Open-Domain Conversational Question Answering with Historical Answers","created":"2022-11-17","cited_by_count":8,"area":null},{"id":"2403.11335","title":"ConvSDG: Session Data Generation for Conversational Search","created":"2024-03-17","cited_by_count":8,"area":null},{"id":"2506.10635","title":"Conversational Search: From Fundamentals to Frontiers in the LLM Era","created":"2025-06-12","cited_by_count":8,"area":null},{"id":"2104.08443","title":"A Graph-guided Multi-round Retrieval Method for Conversational Open-domain Question Answering","created":"2021-04-17","cited_by_count":7,"area":null},{"id":"2105.01542","title":"Conversational Machine Reading Comprehension for Vietnamese Healthcare Texts","created":"2021-05-04","cited_by_count":7,"area":null},{"id":"2205.01886","title":"P^3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning","created":"2022-05-04","cited_by_count":7,"area":null},{"id":"2209.01621","title":"Interactive Question Answering Systems: Literature Review","created":"2022-09-04","cited_by_count":7,"area":null},{"id":"2310.13505","title":"Robust Training for Conversational Question Answering Models with Reinforced Reformulation Generation","created":"2023-10-20","cited_by_count":7,"area":null},{"id":"2406.06399","title":"Should We Fine-Tune or RAG? Evaluating Different Techniques to Adapt LLMs for Dialogue","created":"2024-06-10","cited_by_count":7,"area":null},{"id":"2409.11500","title":"Multi-Document Grounded Multi-Turn Synthetic Dialog Generation","created":"2024-09-17","cited_by_count":7,"area":null},{"id":"2108.12599","title":"Smoothing Dialogue States for Open Conversational Machine Reading","created":"2021-08-28","cited_by_count":6,"area":null},{"id":"2211.00915","title":"Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models","created":"2022-11-02","cited_by_count":6,"area":null},{"id":"2304.01412","title":"The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents","created":"2023-04-03","cited_by_count":6,"area":null},{"id":"2111.08896","title":"Achieving Human Parity on Visual Question Answering","created":"2021-11-17","cited_by_count":5,"area":null},{"id":"2204.03930","title":"From Rewriting to Remembering: Common Ground for Conversational QA Models","created":"2022-04-08","cited_by_count":5,"area":null},{"id":"2206.12449","title":"OPERA: Harmonizing Task-Oriented Dialogs and Information Seeking Experience","created":"2022-06-24","cited_by_count":5,"area":null},{"id":"2308.06501","title":"NewsDialogues: Towards Proactive News Grounded Conversation","created":"2023-08-12","cited_by_count":5,"area":null},{"id":"2103.02537","title":"Weakly-Supervised Open-Retrieval Conversational Question Answering","created":"2021-03-03","cited_by_count":4,"area":null},{"id":"2308.02294","title":"Learning to Select the Relevant History Turns in Conversational Question Answering","created":"2023-08-04","cited_by_count":4,"area":null},{"id":"2401.16659","title":"History-Aware Conversational Dense Retrieval","created":"2024-01-30","cited_by_count":4,"area":null},{"id":"2403.05814","title":"MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs","created":"2024-03-09","cited_by_count":4,"area":null},{"id":"2106.00891","title":"High-Quality Diversification for Task-Oriented Dialogue Systems","created":"2021-06-02","cited_by_count":3,"area":null},{"id":"2112.00653","title":"Variational Learning for Unsupervised Knowledge Grounded Dialogs","created":"2021-11-23","cited_by_count":3,"area":null},{"id":"2402.16261","title":"UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval","created":"2024-02-26","cited_by_count":3,"area":null},{"id":"2411.08334","title":"MIRe: Enhancing Multimodal Queries Representation via Fusion-Free Modality Interaction for Multimodal Retrieval","created":"2024-11-13","cited_by_count":3,"area":null},{"id":"2101.08197","title":"Open-Domain Conversational Search Assistant with Transformers","created":"2021-01-20","cited_by_count":2,"area":null},{"id":"2306.04293","title":"Phrase Retrieval for Open-Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive Learning","created":"2023-06-07","cited_by_count":2,"area":null},{"id":"2310.14708","title":"Strong and Efficient Baselines for Open Domain Conversational Question Answering","created":"2023-10-23","cited_by_count":2,"area":null},{"id":"2405.12801","title":"Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval","created":"2024-05-21","cited_by_count":2,"area":null},{"id":"2406.03703","title":"Synthesizing Conversations from Unlabeled Documents using Automatic Response Segmentation","created":"2024-06-06","cited_by_count":2,"area":null},{"id":"2407.12363","title":"Conversational Query Reformulation with the Guidance of Retrieved Documents","created":"2024-07-17","cited_by_count":2,"area":null},{"id":"2410.00526","title":"Benchmarking Large Language Models for Conversational Question Answering in Multi-instructional Documents","created":"2024-10-01","cited_by_count":2,"area":null},{"id":"2510.03795","title":"Investigating LLM Variability in Personalized Conversational Information Retrieval","created":"2025-10-04","cited_by_count":2,"area":null},{"id":"2204.00266","title":"Multifaceted Improvements for Conversational Open-Domain Question Answering","created":"2022-04-01","cited_by_count":1,"area":null},{"id":"2302.10978","title":"Learning to Retrieve Engaging Follow-Up Queries","created":"2023-02-21","cited_by_count":1,"area":null},{"id":"2406.13232","title":"Towards Robust Evaluation: A Comprehensive Taxonomy of Datasets and Metrics for Open Domain Question Answering in the Era of Large Language Models","created":"2024-06-19","cited_by_count":1,"area":null},{"id":"2104.06892","title":"Knowledge-driven Answer Generation for Conversational Search","created":"2021-04-14","cited_by_count":0,"area":null},{"id":"2106.15903","title":"Learning to Ask Conversational Questions by Optimizing Levenshtein Distance","created":"2021-06-30","cited_by_count":0,"area":null},{"id":"2204.02710","title":"Mix-and-Match: Scalable Dialog Response Retrieval using Gaussian Mixture Embeddings","created":"2022-04-06","cited_by_count":0,"area":null},{"id":"2212.08946","title":"Towards leveraging latent knowledge and Dialogue context for real-world conversational question answering","created":"2022-12-17","cited_by_count":0,"area":null},{"id":"2308.13760","title":"How Can Context Help? Exploring Joint Retrieval of Passage and Personalized Context","created":"2023-08-26","cited_by_count":0,"area":null},{"id":"2410.08623","title":"Retrieving Contextual Information for Long-Form Question Answering using Weak Supervision","created":"2024-10-11","cited_by_count":0,"area":null},{"id":"2505.12651","title":"$\\texttt{DIAMONDs}$: A Dataset for $\\mathbb{D}$ynamic $\\mathbb{I}$nformation $\\mathbb{A}$nd $\\mathbb{M}$ental modeling $\\mathbb{O}$f $\\mathbb{N}$umeric $\\mathbb{D}$iscussions","created":"2025-05-19","cited_by_count":0,"area":null},{"id":"2508.11784","title":"Ontology-Guided Query Expansion for Biomedical Document Retrieval using Large Language Models","created":"2025-08-15","cited_by_count":0,"area":null},{"id":"2510.02938","title":"Finding Diamonds in Conversation Haystacks: A Benchmark for Conversational Data Retrieval","created":"2025-10-03","cited_by_count":0,"area":null},{"id":"2609.06721","title":"Companion-style QA Assistance in Ego-Vision","created":"2026-09-06","cited_by_count":0,"area":null},{"id":"2609.08896","title":"Evolution of Multimodal Question Answering: From Modality-Adaptive Extraction to Unified Language Representation","created":"2026-09-08","cited_by_count":0,"area":null}],"next_cursor":null}