SOTAVerified

Conversational Question Answering

Papers

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Showing 51–75 of 142 papers

TitleStatusHype
An Answer Verbalization Dataset for Conversational Question Answerings over Knowledge Graphs—0
Ask to Learn: A Study on Curiosity-driven Question Generation—0
Automated Factual Benchmarking for In-Car Conversational Systems using Large Language Models—0
Benchmarking Large Language Models for Conversational Question Answering in Multi-instructional Documents—0
BERT-CoQAC: BERT-based Conversational Question Answering in Context—0
Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check—0
Bottom-Up Synthesis of Knowledge-Grounded Task-Oriented Dialogues with Iteratively Self-Refined Prompts—0
CarExpert: Leveraging Large Language Models for In-Car Conversational Question Answering—0
ChatQA: Surpassing GPT-4 on Conversational QA and RAG—0
Combining Impression Feature Representation for Multi-turn Conversational Question Answering—0
Compositional and Lexical Semantics in RoBERTa, BERT and DistilBERT: A Case Study on CoQA—0
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning—0
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning—0
Contextualized Attention-based Knowledge Transfer for Spoken Conversational Question Answering—0
Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action—0
Conversational Information Seeking—0
Conversational QA Dataset Generation with Answer Revision—0
Conversational Query Reformulation with the Guidance of Retrieved Documents—0
Conversational Question Answering: A Survey—0
Conversational Question Answering in Low Resource Scenarios: A Dataset and Case Study for Basque—0
Conversational Question Answering on Heterogeneous Sources—0
Conversational Question Answering with Reformulations over Knowledge Graph—0
DialDoc 2021 Shared Task: Goal-Oriented Document-grounded Dialogue Modeling—0
DialDoc 2022 Shared Task: Open-Book Document-grounded Dialogue Modeling—0
Keeping the Questions Conversational: Using Structured Representations to Resolve Dependency in Conversational Question Answering—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1APOLLOExecution Accuracy78.76—Unverified