Fact Verification
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Benchmarks
Most implemented
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
ReAct: Synergizing Reasoning and Acting in Language Models
ReflectFact: Self-Reflective Agents for Improving Comprehension and Reasoning in Multi-Hop Fact Verification
Precise Zero-Shot Dense Retrieval without Relevance Labels
Evidence-based Factual Error Correction
Papers
Where Does Retrieval-Based Open-Ended Evaluation Fail? Automatic Taxonomy Induction from Long-Form Medical Answer Factuality Verification
Retrieval-based factuality evaluation, where LLM-generated claims are verified against evidence from authoritative medical corpora, has become the dominant paradigm for scalable hallucination detection in high-stakes cli…
Fact VerificationLearning What to Fail On: Failure-Mode Contextual Bandits for Adversarial Data Curation
We introduce a failure-aware adversarial retrieval-augmented framework for improving robustness in natural language understanding. Rather than selecting synthetic examples with a fixed reward threshold, our method formul…
Natural Language UnderstandingFact VerificationReflectFact: Self-Reflective Agents for Improving Comprehension and Reasoning in Multi-Hop Fact Verification
Multi-hop fact verification, which verifies claims by reasoning over multiple pieces of evidence, is critical for combating misinformation on social media yet remains highly challenging. Recent methods primarily rely on …
Fact VerificationReasoning Errors Have a Region and a Direction in the Residual-Stream Trajectory of LLMs
As language models are increasingly used for tasks that require verifiable reasoning, reliably distinguishing sound reasoning from flawed reasoning has become an important practical problem. Recent trajectory-based metho…
Fact VerificationVetScore: Risk-Weighted Fact Verification for Veterinary Long-Form QA with Citations
Citation excerpts can be used to increase the reliability of generated outputs and their faithfulness to cited sources, which is especially important in high-stakes domains such as human and veterinary medicine. However,…
Question AnsweringFact VerificationKnowledgeless Language Models: Suppressing Parametric Recall for Evidence-Grounded Language Modeling
Language models encode substantial factual knowledge in their parameters, which can lead to unreliable behavior when this knowledge is outdated, incomplete, or misaligned with the provided context. In this work, we study…
Question AnsweringFact Verification