SOTAVerified

Conversational Question Answering

Papers

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Showing 76–100 of 142 papers

TitleStatusHype
Keeping the Questions Conversational: Using Structured Representations to Resolve Dependency in Conversational Question Answering—0
Ask to Learn: A Study on Curiosity-driven Question Generation—0
Knowledge Informed Semantic Parsing for Conversational Question Answering—0
Active Learning and Multi-label Classification for Ellipsis and Coreference Detection in Conversational Question-Answering—0
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning—0
Learning to Identify Follow-Up Questions in Conversational Question Answering—0
Learning to Select the Relevant History Turns in Conversational Question Answering—0
Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA—0
Compositional and Lexical Semantics in RoBERTa, BERT and DistilBERT: A Case Study on CoQA—0
Combining Impression Feature Representation for Multi-turn Conversational Question Answering—0
ChatQA: Surpassing GPT-4 on Conversational QA and RAG—0
Self-supervised Dialogue Learning for Spoken Conversational Question Answering—0
MarCQAp: Effective Context Modeling for Conversational Question Answering—0
MC\^2: Multi-perspective Convolutional Cube for Conversational Machine Reading Comprehension—0
An Answer Verbalization Dataset for Conversational Question Answerings over Knowledge Graphs—0
MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs—0
A Graph-guided Multi-round Retrieval Method for Conversational Open-domain Question Answering—0
Multi-Task Learning using Dynamic Task Weighting for Conversational Question Answering—0
Multi-Type Conversational Question-Answer Generation with Closed-ended and Unanswerable Questions—0
Spoken Conversational Search for General Knowledge—0
Strong and Efficient Baselines for Open Domain Conversational Question Answering—0
Structured Context and High-Coverage Grammar for Conversational Question Answering over Knowledge Graphs—0
Synthesizing Conversations from Unlabeled Documents using Automatic Response Segmentation—0
Technical report on Conversational Question Answering—0
CarExpert: Leveraging Large Language Models for In-Car Conversational Question Answering—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1APOLLOExecution Accuracy78.76—Unverified