Summary of Seeing Through the Fog: a Cost-effectiveness Analysis Of Hallucination Detection Systems, by Alexander Thomas et al.
Seeing Through the Fog: A Cost-Effectiveness Analysis of Hallucination Detection Systemsby Alexander Thomas, Seth Rosen,…
Seeing Through the Fog: A Cost-Effectiveness Analysis of Hallucination Detection Systemsby Alexander Thomas, Seth Rosen,…
Bayesian Calibration of Win Rate Estimation with LLM Evaluatorsby Yicheng Gao, Gonghan Xu, Zhe Wang,…
Personalized Video Summarization by Multimodal Video Understandingby Brian Chen, Xiangyuan Zhao, Yingnan ZhuFirst submitted to…
Kernel Looping: Eliminating Synchronization Boundaries for Peak Inference Performanceby David Koeplinger, Darshan Gandhi, Pushkar Nandkar,…
Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challengesby…
Large Language Model Benchmarks in Medical Tasksby Lawrence K.Q. Yan, Qian Niu, Ming Li, Yichao…
Maintaining Informative Coherence: Migrating Hallucinations in Large Language Models via Absorbing Markov Chainsby Jiemin Wu,…
Think Carefully and Check Again! Meta-Generation Unlocking LLMs for Low-Resource Cross-Lingual Summarizationby Zhecheng Li, Yiwei…
ScreenWriter: Automatic Screenplay Generation and Movie Summarisationby Louis Mahon, Mirella LapataFirst submitted to arxiv on:…
DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinationsby Aryo Pradipta Gema, Chen Jin, Ahmed…