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Conversational Question Answering

Papers

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Showing 26–50 of 142 papers

TitleStatusHype
Open-Retrieval Conversational Question AnsweringCode1
Fluent Response Generation for Conversational Question AnsweringCode1
Conversational Question Answering over Passages by Leveraging Word Proximity NetworksCode1
Disambiguation in Conversational Question Answering in the Era of LLM: A Survey—0
Bottom-Up Synthesis of Knowledge-Grounded Task-Oriented Dialogues with Iteratively Self-Refined Prompts—0
Automated Factual Benchmarking for In-Car Conversational Systems using Large Language Models—0
Preference-based Learning with Retrieval Augmented Generation for Conversational Question AnsweringCode0
Few-shot Policy (de)composition in Conversational Question Answering—0
RAGONITE: Iterative Retrieval on Induced Databases and Verbalized RDF for Conversational QA over KGs with RAG—0
Evidence Contextualization and Counterfactual Attribution for Conversational QA over Heterogeneous Data with RAG Systems—0
QA-TOOLBOX: Conversational Question-Answering for process task guidance in manufacturing—0
PCQPR: Proactive Conversational Question Planning with Reflection—0
Benchmarking Large Language Models for Conversational Question Answering in Multi-instructional Documents—0
Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA—0
Conversational Query Reformulation with the Guidance of Retrieved Documents—0
Adaptive Query Rewriting: Aligning Rewriters through Marginal Probability of Conversational Answers—0
Integrating Large Language Models with Graph-based Reasoning for Conversational Question Answering—0
Synthesizing Conversations from Unlabeled Documents using Automatic Response Segmentation—0
Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action—0
Consistency Training by Synthetic Question Generation for Conversational Question AnsweringCode0
PerkwE_COQA: Enhanced Persian Conversational Question Answering by combining contextual keyword extraction with Large Language Models—0
Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check—0
MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs—0
NORMY: Non-Uniform History Modeling for Open Retrieval Conversational Question AnsweringCode0
ChatQA: Surpassing GPT-4 on Conversational QA and RAG—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1APOLLOExecution Accuracy78.76—Unverified