SOTAVerified

Conversational Question Answering

Papers

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Showing 76–100 of 142 papers

TitleStatusHype
Reinforced Question Rewriting for Conversational Question Answering—0
Multi-Type Conversational Question-Answer Generation with Closed-ended and Unanswerable Questions—0
P^3LM: Probabilistically Permuted Prophet Language Modeling for Generative Pre-Training—0
Contrastive Representation Learning for Conversational Question Answering over Knowledge GraphsCode0
Conversational QA Dataset Generation with Answer Revision—0
An Answer Verbalization Dataset for Conversational Question Answerings over Knowledge Graphs—0
Unsupervised Question Clarity Prediction Through Retrieved Item Coherency—0
Active Learning and Multi-label Classification for Ellipsis and Coreference Detection in Conversational Question-Answering—0
Capturing Conversational Interaction for Question Answering via Global History ReasoningCode0
On the Robustness of Dialogue History Representation in Conversational Question Answering: A Comprehensive Study and a New Prompt-based MethodCode0
R3 : Refined Retriever-Reader pipeline for Multidoc2dial—0
Integrating Question Rewrites in Conversational Question Answering: A Reinforcement Learning Approach—0
KaFSP: Knowledge-Aware Fuzzy Semantic Parsing for Conversational Question Answering over a Large-Scale Knowledge BaseCode0
MMCoQA: Conversational Question Answering over Text, Tables, and ImagesCode0
DialDoc 2022 Shared Task: Open-Book Document-grounded Dialogue Modeling—0
End-to-end Spoken Conversational Question Answering: Task, Dataset and Model—0
Conversational Question Answering on Heterogeneous Sources—0
FedQAS: Privacy-aware machine reading comprehension with federated learningCode0
Question rewriting? Assessing its importance for conversational question answeringCode0
Conversational Information Seeking—0
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning—0
Does Entity Abstraction Help Generative Transformers Reason?—0
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning—0
Findings on Conversation Disentanglement—0
MarCQAp: Effective Context Modeling for Conversational Question Answering—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1APOLLOExecution Accuracy78.76—Unverified