MedFabric: Gold Evidence Hides the Difficulty of Word-Level Medical Fabrication Detection
cs.CL, cs.AI
Submitted: 2026-05-05
Updated: 2026-08-27
Terminology
Sources
- The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey
- Retrieving Supporting Evidence for LLMs Generated Answers
- What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams
- LLMs Get Lost In Multi-Turn Conversation
- MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models
- TrustJudge: Inconsistencies of LLM-as-a-Judge and How to Alleviate Them
- Self-Play Preference Optimization for Language Model Alignment
- KnowHalu: Hallucination Detection via Multi-Form Knowledge Based Factual Checking
Related papers
- Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
- Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
- Subliminal Steering: Stronger Encoding of Hidden Signals
- MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
- The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
- Untangling the Mechanisms of Misleading Context in Medical Question Answering