open-domain question answering
188 papers
Also known as
ODQA
OPENQA
OPEN-DOMAIN QA
OPEN-QA
Co-occurring keywords · papers mentioning both
Papers
Collaborative Chain-of-Agents for Parametric-Retrieved Knowledge Synergy
ACL 2026
CRAFT: Training-Free Cascaded Retrieval for Tabular QA
ACL 2026
HiKEY: Hierarchical Multimodal Retrieval for Open-Domain Document Question Answering
ACL 2026
Aligning Retrieval with Reader Needs: Reader-Centered Passage Selection for Open-Domain Question Answering
COLING 2025
Beyond Prompting: An Efficient Embedding Framework for Open-Domain Question Answering
ACL 2025
Can We Verify Step by Step for Incorrect Answer Detection?
IJCAI 2025
Detecting Hallucination in Large Language Models Through Deep Internal Representation Analysis
IJCAI 2025
ECoRAG: Evidentiality-guided Compression for Long Context RAG
ACL 2025
Efficient Context Selection for Long-Context QA: No Tuning, No Iteration, Just Adaptive‐k
EMNLP 2025
How Much Do LLMs Hallucinate across Languages? On Realistic Multilingual Estimation of LLM Hallucination
EMNLP 2025
Not All Terms Matter: Recall-Oriented Adaptive Learning for PLM-aided Query Expansion in Open-Domain Question Answering
ACL 2025
Open Domain Question Answering with Conflicting Contexts
NAACL 2025
Probing-RAG: Self-Probing to Guide Language Models in Selective Document Retrieval
NAACL 2025
Retrieving Support to Rank Answers in Open-Domain Question Answering
EMNLP 2025
RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation
ACL 2025
XLQA: A Benchmark for Locale-Aware Multilingual Open-Domain Question Answering
EMNLP 2025
Accurate and Nuanced Open-QA Evaluation Through Textual Entailment
ACL 2024
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts
EMNLP 2024
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
NAACL 2024
Analyze, Generate and Refine: Query Expansion with LLMs for Zero-Shot Open-Domain QA
ACL 2024
A Statistical Framework for Data-dependent Retrieval-Augmented Models
ICML 2024
BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering
EMNLP 2024
Can AI Assistants Know What They Don’t Know?
ICML 2024
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models
EMNLP 2024
Chain-of-Rewrite: Aligning Question and Documents for Open-Domain Question Answering
EMNLP 2024