SOTAVerified

Conversational Question Answering

Papers

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Showing 51–100 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
Knowledge Informed Semantic Parsing for Conversational Question Answering—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
MarCQAp: Effective Context Modeling for Conversational Question Answering—0
MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs—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
P^3LM: Probabilistically Permuted Prophet Language Modeling for Generative Pre-Training—0
PCQPR: Proactive Conversational Question Planning with Reflection—0
PerkwE_COQA: Enhanced Persian Conversational Question Answering by combining contextual keyword extraction with Large Language Models—0
Prompt Guided Copy Mechanism for Conversational Question Answering—0
QA-TOOLBOX: Conversational Question-Answering for process task guidance in manufacturing—0
Question Rewriting for Conversational Question Answering—0
R3 : Refined Retriever-Reader pipeline for Multidoc2dial—0
RAGONITE: Iterative Retrieval on Induced Databases and Verbalized RDF for Conversational QA over KGs with RAG—0
Reinforced Question Rewriting for Conversational Question Answering—0
Reinforcement Learning for Conversational Question Answering over Knowledge Graph—0
Robust Training for Conversational Question Answering Models with Reinforced Reformulation Generation—0
S2M: Converting Single-Turn to Multi-Turn Datasets for Conversational Question Answering—0
Self-supervised Dialogue Learning for Spoken Conversational Question Answering—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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1APOLLOExecution Accuracy78.76—Unverified