LLM Based
Large language model (LLM)-based systems are rapidly advancing, aiming to improve efficiency and accuracy across diverse applications. Current research focuses on optimizing LLM performance through techniques like multi-agent systems, adaptive reward model selection (e.g., using multi-armed bandits), and integrating LLMs with symbolic methods for enhanced reasoning and planning capabilities. This work is significant because it addresses limitations of existing LLMs, such as inconsistency, hallucination, and computational cost, leading to more robust and reliable AI systems for various domains including healthcare, robotics, and software engineering.
170papers
Papers
April 1, 2025
Automated Factual Benchmarking for In-Car Conversational Systems using Large Language Models
Rafael Giebisch, Ken E. Friedl, Lev Sorokin, Andrea StoccoTechnical University of Munich●BMW Group●fortiss GmbHCan LLMs Assist Computer Education? an Empirical Case Study of DeepSeek
Dongfu Xiao, Chen Gao, Zhengquan Luo, Chi Liu, Sheng ShenCity University of Macau●Torrens University Australia
March 26, 2025
TAMA: A Human-AI Collaborative Thematic Analysis Framework Using Multi-Agent LLMs for Clinical Interviews
Huimin Xu, Seungjun Yi, Terence Lim, Jiawei Xu, Andrew Well, Carlos Mery, Aidong Zhang, Yuji Zhang, Heng Ji, Keshav Pingali, Yan Leng, Ying DingUniversity of Texas at Austin●Inc.●Vanderbilt University School of Medicine●Monroe Carell Jr. Children’s Hospital at Vanderbilt●University of...+2Can We Make Code Green? Understanding Trade-Offs in LLMs vs. Human Code Optimizations
Pooja Rani, Jan-Andrea Bard, June Sallou, Alexander Boll, Timo Kehrer, Alberto BacchelliUniversity of Zurich●University of Bern●Wageningen University & Research
March 17, 2025
A Multi-Stage Framework with Taxonomy-Guided Reasoning for Occupation Classification Using Large Language Models
Palakorn Achananuparp, Ee-Peng LimSingapore Management UniversityMAP: Multi-user Personalization with Collaborative LLM-powered Agents
Christine Lee, Jihye Choi, Bilge MutluUniversity of Wisconsin–MadisonEnforcing Cybersecurity Constraints for LLM-driven Robot Agents for Online Transactions
Shraddha Pradipbhai Shah, Aditya Vilas Deshpande
March 16, 2025
Using LLMs for Automated Privacy Policy Analysis: Prompt Engineering, Fine-Tuning and Explainability
Yuxin Chen, Peng Tang, Weidong Qiu, Shujun LiA Survey on the Optimization of Large Language Model-based Agents
Shangheng Du, Jiabao Zhao, Jinxin Shi, Zhentao Xie, Xin Jiang, Yanhong Bai, Liang HeShanghai Institute of Artificial Intelligence for Education●East China Normal University●School of Computer Science and Technology●Donghua...+1
March 12, 2025
Multi-Agent LLM Actor-Critic Framework for Social Robot Navigation
Weizheng Wang, Ike Obi, Byung-Cheol MinPurdue UniversityRetSTA: An LLM-Based Approach for Standardizing Clinical Fundus Image Reports
Jiushen Cai, Weihang Zhang, Hanruo Liu, Ningli Wang, Huiqi LiBeijing Institute of Technology●Beijing Tongren Hospital●Capital Medical University●Beijing Institute of Ophthalmology
March 5, 2025
Safe LLM-Controlled Robots with Formal Guarantees via Reachability Analysis
Ahmad Hafez, Alireza Naderi Akhormeh, Amr Hegazy, Amr AlanwarTechnical University of Munich●German university in CairoEffective LLM Knowledge Learning via Model Generalization
Mingkang Zhu, Xi Chen, Zhongdao Wang, Bei Yu, Hengshuang Zhao, Jiaya JiaThe Chinese University of Hong Kong●The University of Hong Kong●Huawei●Hong Kong University of Science and Technology●SmartMore