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
Evaluate Summarization in Fine-Granularity: Auto Evaluation with LLM
Dong Yuan, Eti Rastogi, Fen Zhao, Sagar Goyal, Gautam Naik, Sree Prasanna Rajagopal
Long Context vs. RAG for LLMs: An Evaluation and Revisits
Xinze Li, Yixin Cao, Yubo Ma, Aixin Sun
Machine Generated Product Advertisements: Benchmarking LLMs Against Human Performance
Sanjukta Ghosh
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
Junying Chen, Zhenyang Cai, Ke Ji, Xidong Wang, Wanlong Liu, Rongsheng Wang, Jianye Hou, Benyou Wang
Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning
Chirag Nagpal, Subhashini Venugopalan, Jimmy Tobin, Marilyn Ladewig, Katherine Heller, Katrin Tomanek
TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications
Neiwen Ling, Guojun Chen, Lin Zhong
Zero-resource Speech Translation and Recognition with LLMs
Karel Mundnich, Xing Niu, Prashant Mathur, Srikanth Ronanki, Brady Houston, Veera Raghavendra Elluru, Nilaksh Das, Zejiang Hou, Goeric Huybrechts, Anshu Bhatia, Daniel Garcia-Romero, Kyu J. Han, Katrin Kirchhoff
Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability
Haonan Li, Xudong Han, Zenan Zhai, Honglin Mu, Hao Wang, Zhenxuan Zhang, Yilin Geng, Shom Lin, Renxi Wang, Artem Shelmanov, Xiangyu Qi, Yuxia Wang, Donghai Hong, Youliang Yuan, Meng Chen, Haoqin Tu, Fajri Koto, Tatsuki Kuribayashi, Cong Zeng, Rishabh Bhardwaj, Bingchen Zhao, Yawen Duan, Yi Liu, Emad A. Alghamdi, Yaodong Yang, Yinpeng Dong, Soujanya Poria, Pengfei Liu, Zhengzhong Liu, Xuguang Ren, Eduard Hovy, Iryna Gurevych, Preslav Nakov, Monojit Choudhury, Timothy Baldwin
Explainable Multi-Modal Data Exploration in Natural Language via LLM Agent
Farhad Nooralahzadeh, Yi Zhang, Jonathan Furst, Kurt Stockinger
Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge Bases
Christian Di Maio, Cristian Cosci, Marco Maggini, Valentina Poggioni, Stefano Melacci
Human-Readable Adversarial Prompts: An Investigation into LLM Vulnerabilities Using Situational Context
Nilanjana Das, Edward Raff, Manas Gaur
Extracting Interpretable Task-Specific Circuits from Large Language Models for Faster Inference
Jorge García-Carrasco, Alejandro Maté, Juan Trujillo
AutoLife: Automatic Life Journaling with Smartphones and LLMs
Huatao Xu, Panron Tong, Mo Li, Mani Srivastava
Adaptable and Precise: Enterprise-Scenario LLM Function-Calling Capability Training Pipeline
Guancheng Zeng, Wentao Ding, Beining Xu, Chi Zhang, Wenqiang Han, Gang Li, Jingjing Mo, Pengxu Qiu, Xinran Tao, Wang Tao, Haowen Hu
Prompt-A-Video: Prompt Your Video Diffusion Model via Preference-Aligned LLM
Yatai Ji, Jiacheng Zhang, Jie Wu, Shilong Zhang, Shoufa Chen, Chongjian GE, Peize Sun, Weifeng Chen, Wenqi Shao, Xuefeng Xiao, Weilin Huang, Ping Luo
HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs
Pham Vu Tuan Dat, Long Doan, Huynh Thi Thanh Binh