SCAI-QReCC Shared Task on Conversational Question Answering
원문 초록
Search-Oriented Conversational AI (SCAI) is an established venue that regularly puts a spotlight upon the recent work advancing the field of conversational search. SCAI'21 was organised as an independent on-line event and featured a shared task on conversational question answering. Since all of the participant teams experimented with answer generation models for this task, we identified evaluation of answer correctness in this settings as the major challenge and a current research gap. Alongside the automatic evaluation, we conducted two crowdsourcing experiments to collect annotations for answer plausibility and faithfulness. As a result of this shared task, the original conversational QA dataset used for evaluation was further extended with alternative correct answers produced by the participant systems.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document Reasoning
ECoRAG: Evidentiality-guided Compression for Long Context RAG
GEMeX-ThinkVG: Towards Thinking with Visual Grounding in Medical VQA via Reinforcement Learning
CAPO: Reinforcing Consistent Reasoning in Medical Decision-Making
Neural at ArchEHR-QA 2025: Agentic Prompt Optimization for Evidence-Grounded Clinical Question Answering
LaMP-QA: A Benchmark for Personalized Long-form Question Answering
토론
이 논문과 연결된 포럼 글이 아직 없습니다.