HALO: Hallucination Analysis and Learning Optimization to Empower LLMs with Retrieval-Augmented Context for Guided Clinical Decision Making

16 September 2024

Papers citing "HALO: Hallucination Analysis and Learning Optimization to Empower LLMs with Retrieval-Augmented Context for Guided Clinical Decision Making"

9 / 9 papers shown

Title
Evaluation of Retrieval-Augmented Generation: A Survey Hao Yu Aoran Gan Kai Zhang Shiwei Tong Qi Liu Zhaofeng Liu 3DV 82 91 0 13 May 2024
Large Language Models for Multi-Choice Question Classification of Medical Subjects Víctor Ponce-López LM&MA 28 1 0 21 Mar 2024
Hallucination Reduction in Long Input Text Summarization Gregor Lenz Ronit Mandal Abhishek Agarwal Debarshi Kumar Sanyal HILM 33 9 0 28 Sep 2023
Evaluating Large Language Models for Document-grounded Response Generation in Information-Seeking Dialogues N. Braunschweiler R. Doddipatla Simon Keizer Svetlana Stoyanchev LM&MA 26 10 0 21 Sep 2023
Discovering Latent Knowledge in Language Models Without Supervision Collin Burns Haotian Ye Dan Klein Jacob Steinhardt 104 350 0 07 Dec 2022
Entity Cloze By Date: What LMs Know About Unseen Entities Yasumasa Onoe Michael J.Q. Zhang Eunsol Choi Greg Durrett KELM 56 50 0 05 May 2022
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.1K 93,936 0 11 Oct 2018
FEVER: a large-scale dataset for Fact Extraction and VERification James Thorne Andreas Vlachos Christos Christodoulopoulos Arpit Mittal HILM 118 1,633 0 14 Mar 2018
Sequence Level Training with Recurrent Neural Networks MarcÁurelio Ranzato S. Chopra Michael Auli Wojciech Zaremba 83 1,611 0 20 Nov 2015