Papers
Agent Laboratory: Using LLM Agents as Research Assistants
Samuel Schmidgall, Yusheng Su, Ze Wang et al.
AgentMaster: A Multi-Agent Conversational Framework Using A2A and MCP Protocols for Multimodal Information Retrieval and Analysis
Callie C. Liao, Duoduo Liao, Sai Surya Gadiraju
AgentPro: Enhancing LLM Agents with Automated Process Supervision
Yuchen Deng, Shichen Fan, Naibo Wang et al.
AgentThink: A Unified Framework for Tool-Augmented Chain-of-Thought Reasoning in Vision-Language Models for Autonomous Driving
Kangan Qian, Sicong Jiang, Yang Zhong et al.
Agent-to-Agent Theory of Mind: Testing Interlocutor Awareness among Large Language Models
Younwoo Choi, Changling Li, Yongjin Yang et al.
Agent Trading Arena: A Study on Numerical Understanding in LLM-Based Agents
Tianmi Ma, Jiawei Du, Wenxin Huang et al.
AGENTVIGIL: Automatic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents
Zhun Wang, Vincent Siu, Zhe Ye et al.
Agent vs. Agent: Automated Data Generation and Red-Teaming for Custom Agentic Workflows
Ninad Kulkarni, Xian Wu, Siddharth Varia et al.
A Good Plan is Hard to Find: Aligning Models with Preferences is Misaligned with What Helps Users
Nishant Balepur, Matthew Shu, Yoo Yeon Sung et al.
A Graph-Theoretical Framework for Analyzing the Behavior of Causal Language Models
Rashin Rahnamoun, Mehrnoush Shamsfard
A Group Fairness Lens for Large Language Models
Guanqun Bi, Yuqiang Xie, Lei Shen et al.
A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs
Artem Shelmanov, Ekaterina Fadeeva, Akim Tsvigun et al.
AI Argues Differently: Distinct Argumentative and Linguistic Patterns of LLMs in Persuasive Contexts
Esra Dönmez, Maximilian Maurer, Gabriella Lapesa et al.
AI Chatbots as Professional Service Agents: Developing a Professional Identity
Wenwen Li, Kangwei Shi, Yidong Chai
AI Knowledge Assist: An Automated Approach for the Creation of Knowledge Bases for Conversational AI Agents
Md Tahmid Rahman Laskar, Julien Bouvier Tremblay, Xue-Yong Fu et al.
AI Knows Where You Are: Exposure, Bias, and Inference in Multimodal Geolocation with KoreaGEO
Xiaonan Wang, Bo Shao, Hansaem Kim
AIMMerging: Adaptive Iterative Model Merging Using Training Trajectories for Language Model Continual Learning
Yujie Feng, Jian Li, Xiaoyu Dong et al.
AIPOM: Agent-aware Interactive Planning for Multi-Agent Systems
Hannah Kim, Kushan Mitra, Chen Shen et al.
AIP: Subverting Retrieval-Augmented Generation via Adversarial Instructional Prompt
Saket Sanjeev Chaturvedi, Gaurav Bagwe, Lan Emily Zhang et al.
AIR: Complex Instruction Generation via Automatic Iterative Refinement
Wei Liu, Yancheng He, Yu Li et al.
AIRepr: An Analyst-Inspector Framework for Evaluating Reproducibility of LLMs in Data Science
Qiuhai Zeng, Claire Jin, Xinyue Wang et al.
AirRAG: Autonomous Strategic Planning and Reasoning Steer Retrieval Augmented Generation
Wenfeng Feng, Chuzhan Hao, Yuewei Zhang et al.
AI Sees Your Location—But With A Bias Toward The Wealthy World
Jingyuan Huang, Jen-tse Huang, Ziyi Liu et al.
AkibaNLP-TUT: Injecting Language-Specific Word-Level Noise for Low-Resource Language Translation
Shoki Hamada, Tomoyosi Akiba, Hajime Tsukada
A Knapsack by Any Other Name: Presentation impacts LLM performance on NP-hard problems
Alex Duchnowski, Ellie Pavlick, Alexander Koller