[논문리뷰] EpiQAL: Benchmarking Large Language Models in Epidemiological Question Answering for Enhanced Alignment and ReasoningGuanchen Wu이 arXiv에 게시한 'EpiQAL: Benchmarking Large Language Models in Epidemiological Question Answering for Enhanced Alignment and Reasoning' 논문에 대한 자세한 리뷰입니다.#Review#Epidemiological Question Answering#Large Language Models#Benchmark#Multi-step Inference#Evidence Grounding#LLM Evaluation#Public Health AI#Chain-of-Thought2026년 1월 7일댓글 수 로딩 중
[논문리뷰] Conan: Progressive Learning to Reason Like a Detective over Multi-Scale Visual EvidencearXiv에 게시된 'Conan: Progressive Learning to Reason Like a Detective over Multi-Scale Visual Evidence' 논문에 대한 자세한 리뷰입니다.#Review#Video Reasoning#Multimodal Large Language Models (MLLMs)#Reinforcement Learning (RLVR)#Evidence Grounding#Multi-step Reasoning#Frame Retrieval#Dataset Construction#Progressive Learning2025년 10월 24일댓글 수 로딩 중
[논문리뷰] HalluGuard: Evidence-Grounded Small Reasoning Models to Mitigate Hallucinations in Retrieval-Augmented GenerationRadu State이 arXiv에 게시한 'HalluGuard: Evidence-Grounded Small Reasoning Models to Mitigate Hallucinations in Retrieval-Augmented Generation' 논문에 대한 자세한 리뷰입니다.#Review#Hallucination Detection#Retrieval-Augmented Generation (RAG)#Small Reasoning Model (SRM)#Preference Fine-tuning#ORPO#Evidence Grounding#Fact-checking2025년 10월 8일댓글 수 로딩 중