SOTAVerified

Conversational Question Answering

Papers

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Showing 101–142 of 142 papers

TitleStatusHype
Bottom-Up Synthesis of Knowledge-Grounded Task-Oriented Dialogues with Iteratively Self-Refined Prompts—0
P^3LM: Probabilistically Permuted Prophet Language Modeling for Generative Pre-Training—0
Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check—0
TED-Q: TED Talks and the Questions they Evoke—0
BERT-CoQAC: BERT-based Conversational Question Answering in Context—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
The Dangers of trusting Stochastic Parrots: Faithfulness and Trust in Open-domain Conversational Question Answering—0
Benchmarking Large Language Models for Conversational Question Answering in Multi-instructional Documents—0
Adaptive Query Rewriting: Aligning Rewriters through Marginal Probability of Conversational Answers—0
Towards a more Robust Evaluation for Conversational Question Answering—0
Prompt Guided Copy Mechanism for Conversational Question Answering—0
QA-TOOLBOX: Conversational Question-Answering for process task guidance in manufacturing—0
Towards Data Distillation for End-to-end Spoken Conversational Question Answering—0
Towards leveraging latent knowledge and Dialogue context for real-world conversational question answering—0
Question Rewriting for Conversational Question Answering—0
R3 : Refined Retriever-Reader pipeline for Multidoc2dial—0
Conversational Question Answering on Heterogeneous Sources—0
Conversational Question Answering with Reformulations over Knowledge Graph—0
Conversational Question Answering in Low Resource Scenarios: A Dataset and Case Study for Basque—0
RAGONITE: Iterative Retrieval on Induced Databases and Verbalized RDF for Conversational QA over KGs with RAG—0
Conversational Question Answering: A Survey—0
DialDoc 2021 Shared Task: Goal-Oriented Document-grounded Dialogue Modeling—0
DialDoc 2022 Shared Task: Open-Book Document-grounded Dialogue Modeling—0
Conversational Query Reformulation with the Guidance of Retrieved Documents—0
Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources—0
Unsupervised Question Clarity Prediction Through Retrieved Item Coherency—0
DiPlomat: A Dialogue Dataset for Situated Pragmatic Reasoning—0
Disambiguation in Conversational Question Answering in the Era of LLM: A Survey—0
Ditch the Gold Standard: Re-evaluating Conversational Question Answering—0
Conversational QA Dataset Generation with Answer Revision—0
Does Entity Abstraction Help Generative Transformers Reason?—0
Do not let the history haunt you -- Mitigating Compounding Errors in Conversational Question Answering—0
Do not let the history haunt you: Mitigating Compounding Errors in Conversational Question Answering—0
DoQA -- Accessing Domain-Specific FAQs via Conversational QA—0
DoQA - Accessing Domain-Specific FAQs via Conversational QA—0
Conversational Information Seeking—0
EHRTutor: Enhancing Patient Understanding of Discharge Instructions—0
End-to-end Spoken Conversational Question Answering: Task, Dataset and Model—0
Ensemble ALBERT and RoBERTa for Span Prediction in Question Answering—0
Reinforced Question Rewriting for Conversational Question Answering—0
Reinforcement Learning for Conversational Question Answering over Knowledge Graph—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1APOLLOExecution Accuracy78.76—Unverified