Medical LLM
Medical LLMs are large language models adapted for healthcare applications, primarily aiming to improve medical information access, analysis, and decision-making. Current research focuses on enhancing reasoning capabilities through techniques like chain-of-thought prompting and dynamic reasoning trajectory search, as well as addressing biases and ensuring safety through careful preference alignment and guardrail implementation. These advancements hold significant promise for improving healthcare efficiency and patient care, but ongoing work is crucial to address challenges like bias mitigation, hallucination reduction, and robust evaluation in real-world clinical settings.
Papers
WebWalker: Benchmarking LLMs in Web Traversal
Jialong Wu, Wenbiao Yin, Yong Jiang, Zhenglin Wang, Zekun Xi, Runnan Fang, Deyu Zhou, Pengjun Xie, Fei Huang
LLM360 K2: Scaling Up 360-Open-Source Large Language Models
Zhengzhong Liu, Bowen Tan, Hongyi Wang, Willie Neiswanger, Tianhua Tao, Haonan Li, Fajri Koto, Yuqi Wang, Suqi Sun, Omkar Pangarkar, Richard Fan, Yi Gu, Victor Miller, Liqun Ma, Liping Tang, Nikhil Ranjan, Yonghao Zhuang, Guowei He, Renxi Wang, Mingkai Deng, Robin Algayres, Yuanzhi Li, Zhiqiang Shen, Preslav Nakov, Eric Xing
LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs
Omkar Thawakar, Dinura Dissanayake, Ketan More, Ritesh Thawkar, Ahmed Heakl, Noor Ahsan, Yuhao Li, Mohammed Zumri, Jean Lahoud, Rao Muhammad Anwer, Hisham Cholakkal, Ivan Laptev, Mubarak Shah, Fahad Shahbaz Khan, Salman Khan
Affordably Fine-tuned LLMs Provide Better Answers to Course-specific MCQs
Bianca Raimondi, Saverio Giallorenzo, Maurizio Gabbrielli
Text-to-Edit: Controllable End-to-End Video Ad Creation via Multimodal LLMs
Dabing Cheng, Haosen Zhan, Xingchen Zhao, Guisheng Liu, Zemin Li, Jinghui Xie, Zhao Song, Weiguo Feng, Bingyue Peng
Using LLMs to Infer Non-Binary COVID-19 Sentiments of Chinese Micro-bloggers
Jerry Chongyi Hu, Mohammed Shahid Modi, Boleslaw K. Szymanski
Optimizing Estonian TV Subtitles with Semi-supervised Learning and LLMs
Artem Fedorchenko, Tanel Alumäe
JELLY: Joint Emotion Recognition and Context Reasoning with LLMs for Conversational Speech Synthesis
Jun-Hyeok Cha, Seung-Bin Kim, Hyung-Seok Oh, Seong-Whan Lee
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though
Violet Xiang, Charlie Snell, Kanishk Gandhi, Alon Albalak, Anikait Singh, Chase Blagden, Duy Phung, Rafael Rafailov, Nathan Lile, Dakota Mahan, Louis Castricato, Jan-Philipp Franken, Nick Haber, Chelsea Finn
Building a Mind Palace: Structuring Environment-Grounded Semantic Graphs for Effective Long Video Analysis with LLMs
Zeyi Huang, Yuyang Ji, Xiaofang Wang, Nikhil Mehta, Tong Xiao, Donghyun Lee, Sigmund Vanvalkenburgh, Shengxin Zha, Bolin Lai, Licheng Yu, Ning Zhang, Yong Jae Lee, Miao Liu
IOLBENCH: Benchmarking LLMs on Linguistic Reasoning
Satyam Goyal, Soham Dan
Retrieval-Augmented Generation by Evidence Retroactivity in LLMs
Liang Xiao, Wen Dai, Shuai Chen, Bin Qin, Chongyang Shi, Haopeng Jing, Tianyu Guo
Align-Pro: A Principled Approach to Prompt Optimization for LLM Alignment
Prashant Trivedi, Souradip Chakraborty, Avinash Reddy, Vaneet Aggarwal, Amrit Singh Bedi, George K. Atia
Financial Named Entity Recognition: How Far Can LLM Go?
Yi-Te Lu, Yintong Huo
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit
Huixue Zhou, Hengrui Gu, Xi Liu, Kaixiong Zhou, Mingfu Liang, Yongkang Xiao, Srinivas Govindan, Piyush Chawla, Jiyan Yang, Xiangfei Meng, Huayu Li, Buyun Zhang, Liang Luo, Wen-Yen Chen, Yiping Han, Bo Long, Rui Zhang, Tianlong Chen