Large Language
Large language models (LLMs) are rapidly advancing artificial intelligence, aiming to create systems capable of understanding and generating human-like text. Current research focuses on improving efficiency (e.g., through speculative decoding), exploring their intriguing properties in multimodal contexts (combining language with vision), and applying them to diverse fields like healthcare, manufacturing, and software engineering. This work is significant because LLMs are already impacting various sectors, offering potential for improved decision-making, automation, and personalized experiences, while also raising important questions about robustness, security, and ethical implications.
Papers
Assessment of LLM Responses to End-user Security Questions
Vijay Prakash, Kevin Lee, Arkaprabha Bhattacharya, Danny Yuxing Huang, Jessica Staddon
Evaluating the Robustness of Analogical Reasoning in Large Language Models
Martha Lewis, Melanie Mitchell
Interactive and Expressive Code-Augmented Planning with Large Language Models
Anthony Z. Liu, Xinhe Wang, Jacob Sansom, Yao Fu, Jongwook Choi, Sungryull Sohn, Jaekyeom Kim, Honglak Lee
Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge
Ruiyang Qin, Dancheng Liu, Gelei Xu, Zheyu Yan, Chenhui Xu, Yuting Hu, X. Sharon Hu, Jinjun Xiong, Yiyu Shi
ACING: Actor-Critic for Instruction Learning in Black-Box Large Language Models
Salma Kharrat, Fares Fourati, Marco Canini
Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models
Laura Ruis, Maximilian Mozes, Juhan Bae, Siddhartha Rao Kamalakara, Dwarak Talupuru, Acyr Locatelli, Robert Kirk, Tim Rocktäschel, Edward Grefenstette, Max Bartolo
A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems
Dawen Zhang, Xiwei Xu, Chen Wang, Zhenchang Xing, Robert Mao
The Limited Impact of Medical Adaptation of Large Language and Vision-Language Models
Daniel P. Jeong, Pranav Mani, Saurabh Garg, Zachary C. Lipton, Michael Oberst
FinRobot: AI Agent for Equity Research and Valuation with Large Language Models
Tianyu Zhou, Pinqiao Wang, Yilin Wu, Hongyang Yang
Towards Optimizing a Retrieval Augmented Generation using Large Language Model on Academic Data
Anum Afzal, Juraj Vladika, Gentrit Fazlija, Andrei Staradubets, Florian Matthes
Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models
Yancheng He, Shilong Li, Jiaheng Liu, Yingshui Tan, Hui Huang, Weixun Wang, Xingyuan Bu, Hangyu Guo, Chengwei Hu, Boren Zheng, Xuepeng Liu, Dekai Sun, Wenbo Su, Bo Zheng
Cancer-Answer: Empowering Cancer Care with Advanced Large Language Models
Aniket Deroy, Subhankar Maity
LLM-Neo: Parameter Efficient Knowledge Distillation for Large Language Models
Runming Yang, Taiqiang Wu, Jiahao Wang, Pengfei Hu, Ngai Wong, Yujiu Yang
Autonomous Droplet Microfluidic Design Framework with Large Language Models
Dinh-Nguyen Nguyen, Raymond Kai-Yu Tong, Ngoc-Duy Dinh