SOTAVerified

Conversational Question Answering

Papers

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Showing 51–75 of 142 papers

TitleStatusHype
NORMY: Non-Uniform History Modeling for Open Retrieval Conversational Question AnsweringCode0
No that's not what I meant: Handling Third Position Repair in Conversational Question AnsweringCode0
On the Robustness of Dialogue History Representation in Conversational Question Answering: A Comprehensive Study and a New Prompt-based MethodCode0
On the Robustness of Question Rewriting Systems to Questions of Varying HardnessCode0
Open-Domain Conversational Question Answering with Historical AnswersCode0
ParaQA: A Question Answering Dataset with Paraphrase Responses for Single-Turn ConversationCode0
Phrase Retrieval for Open-Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive LearningCode0
PLATO: Pre-trained Dialogue Generation Model with Discrete Latent VariableCode0
Preference-based Learning with Retrieval Augmented Generation for Conversational Question AnsweringCode0
Query Enhanced Knowledge-Intensive Conversation via Unsupervised Joint ModelingCode0
Question rewriting? Assessing its importance for conversational question answeringCode0
Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty MeasurementCode0
SDNet: Contextualized Attention-based Deep Network for Conversational Question AnsweringCode0
Evidence Contextualization and Counterfactual Attribution for Conversational QA over Heterogeneous Data with RAG Systems—0
Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action—0
Automated Factual Benchmarking for In-Car Conversational Systems using Large Language Models—0
Few-shot Policy (de)composition in Conversational Question Answering—0
Findings on Conversation Disentanglement—0
Contextualized Attention-based Knowledge Transfer for Spoken Conversational Question Answering—0
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning—0
Robust Training for Conversational Question Answering Models with Reinforced Reformulation Generation—0
InCA: Rethinking In-Car Conversational System Assessment Leveraging Large Language Models—0
Integrating Large Language Models with Graph-based Reasoning for Conversational Question Answering—0
Integrating Question Rewrites in Conversational Question Answering: A Reinforcement Learning Approach—0
S2M: Converting Single-Turn to Multi-Turn Datasets for Conversational Question Answering—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1APOLLOExecution Accuracy78.76—Unverified