Accepted Papers

We accepted 48 papers (5 oral, 6 spotlight, and 37 posters) to the workshop, out of which 34 were archival and 14 were non-archival.

Oral Papers

Safe in Isolation, Dangerous Together: Agent-Driven Multi-Turn Decomposition Jailbreaks on LLMs
Devansh Srivastav, Xiao Zhang
(archival)
CAMPHOR: Collaborative Agents for Multi-input Planning and High-Order Reasoning On Device
Yicheng Fu, Raviteja Anantha, Jianpeng Cheng
(archival)
TALES- Text Adventure Learning Environment Suite
Christopher Zhang Cui, Xingdi Yuan, Ziang Xiao, Prithviraj Ammanabrolu, Marc-Alexandre Côté
(non-archival)
Corrupted by Reasoning: Reasoning Language Models Become Free-Riders in Public Goods Games
David Guzman Piedrahita, Yongjin Yang, Mrinmaya Sachan, Giorgia Ramponi, Bernhard Schölkopf, Zhijing Jin
(non-archival)
AgentAda: Skill-Adaptive Data Analytics for Tailored Insight Discovery
Amirhossein Abaskohi, Amrutha Varshini Ramesh, Shailesh Nanisetty, Chirag Goel, David Vazquez, Christopher Pal, Spandana Gella, Giuseppe Carenini, Issam H. Laradji
(non-archival)

Spotlight Papers

Do Large Language Models Learn Human-Like Strategic Preferences?
Jesse Roberts, Kyle Moore, Douglas Fisher
(archival)
A Study on Leveraging Search and Self-Feedback for Agent Reasoning
Karthikeyan K, Michelle Yuan, Elman Mansimov, Katerina Margatina, Anurag Pratik, Daniele Bonadiman, MONICA SUNKARA, Yi Zhang, Yassine Benajiba
(archival)
BEARCUBS: A benchmark for computer-using web agents
Yixiao Song, Katherine Thai, Chau Minh Pham, Yapei Chang, Mazin Nadaf, Mohit Iyyer
(non-archival)
GitGoodBench: A Novel Benchmark For Evaluating Agentic Performance On Git
Tobias Lindenbauer, Egor Bogomolov, Yaroslav Zharov
(archival)
Fleet of Agents: Coordinated Problem Solving with Large Language Models
Nearchos Potamitis, Lars Henning Klein, Roland Aydin, Robert West, Caglar Gulcehre, Akhil Arora
(non-archival)
Preventing Rogue Agents Improves Multi-Agent Collaboration
Ohav Barbi, Ori Yoran, Mor Geva
(archival)

Posters

Archival (28 papers)
Are You Sure You’re Positive? Consolidating Chain-of-Thought Agents with Uncertainty Quantification for Aspect-Category Sentiment Analysis
Filippos Ventirozos, Peter A. Appleby, Matthew Shardlow
Snap Out of It: A Dual-Process Approach to Mitigating Overthinking in Language Model Reasoning
Ashish Pandian, Nelson Lojo, Wei Xun Lai, Jackson Lukas
ToolReflection: Improving Large Language Models for Real-World API Calls with Self-Generated Data
Gregory Polyakov, Ilseyar Alimova, Dmitry Abulkhanov, Ivan Sedykh, Andrey Bout, Sergey Nikolenko, Irina Piontkovskaya
PAARS: Persona Aligned Agentic Retail Shoppers
Saab Mansour, Leonardo Perelli, Lorenzo Mainetti, George Davidson, Stefano D'Amato
Inherent and emergent liability issues in LLM-based agentic systems: a principal-agent perspective
Garry A. Gabison, R. Patrick Xian
A Conversational Agent Framework for Multimodal Knowledge Retrieval: A Case Study in FHWA InfoHighway Web Portal Queries
Sai Surya Gadiraju, Duoduo Liao, Zijie He
Bridging the Digital Divide: Empowering Elderly Smartphone Users with Intelligent and Human-Centered Design in Agemate
Liangliang Chen, Yongzhen Mu
RL + Transformer = A General-Purpose Problem Solver
Micah Rentschler, Jesse Roberts
AID-Agent: An LLM-Agent for Advanced Extraction and Integration of Documents
Bin Li, Jannis Conen, Felix Aller
Leveraging LLM-based sentiment analysis for portfolio optimization with proximal policy optimization
Kemal Kirtac, Guido Germano
Conditional Multi-Stage Failure Recovery for Embodied Agents
Youmna Farag, Svetlana Stoyanchev, Mohan Li, Simon Keizer, Rama Doddipatla
Decentralized Low-Rank Fine-Tuning of Large Language Models
Sajjad Ghiasvand, Mahnoosh Alizadeh, Ramtin Pedarsani
A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops
Kamer Ali Yuksel, Thiago Castro Ferreira, Mohamed Al-Badrashiny, Hassan Sawaf
From Knowledge to Noise: CTIM-Rover and the Pitfalls of Episodic Memory in Software Engineering Agents
Tobias Lindenbauer, Georg Groh, Hinrich Schuetze
Hidden Forms: A Dataset to Fill Masked Interfaces from Language Commands
Anirudh Sundar, Christopher Gordon Richardson, William Gay, Benjamin Reichman, Larry Heck
Positive Experience Reflection for Agents in Interactive Text Environments
Philip Lippmann, Matthijs T. J. Spaan, Jie Yang
Weight-of-Thought Reasoning: Exploring Neural Network Weights for Enhanced LLM Reasoning
Saif Punjwani, Larry Heck
StateAct: Enhancing LLM Base Agents via Self-prompting and State-tracking
Nikolai Rozanov, Marek Rei
DFLOW: Diverse Dialogue Flow Simulation with Large Language Models
Wanyu Du, Song Feng, James Gung, Lijia Sun, Yi Zhang, Saab Mansour, Yanjun Qi
Prompt-based Personality Profiling: Reinforcement Learning for Relevance Filtering
Jan Hofmann, Cornelia Sindermann, Roman Klinger
TCQA$^2$: A Tiered Conversational Q&A Agent in Gaming
Ze Chen, Chengcheng Wei, Jiewen Zheng, Jiarong He
Oversight Structures for Agentic AI in Public-Sector Organizations
Chris Schmitz, Jonathan Rystrøm, Jan Batzner
DIAMOND: An LLM-Driven Agent for Context-Aware Baseball Highlight Summarization
Jeonghun Kang, Soonmok Kwon, Joonseok Lee, Byung-Hak Kim
Measuring temporal effects of agent knowledge by date-controlled tool use
R. Patrick Xian, Qiming Cui, Stefan Bauer, Reza Abbasi-Asl
The Power of Simplicity in LLM-Based Event Forecasting
Meiru Zhang, Auss Abbood, Zaiqiao Meng, Nigel Collier
The Art of Tool Interface Design
Yunnan Wu, Qile P. Chen, Deshank Baranwal, Jinlong Zhou, Jian Yuan
FrontierScience Bench: Evaluating AI Research Capabilities in LLMs
Matthew Li, Santiago Torres-Garcia, Shayan Halder, Phani Kuppa, Sean O'Brien, Vasu Sharma, Kevin Zhu, Sunishchal Dev
VisTRA: Visual Tool-use Reasoning Analyzer for Small Object Visual Question Answering
Hiroaki Sugiyama, Ko Koga, Toshifumi Nishijima
Non-archival (9 papers)
Chain-of-Conceptual-Thought Elicits Daily Conversation in Large Language Models
Qingqing Gu, Dan Wang, Yue Zhao, Xiaoyu Wang, Zhonglin Jiang, Yong Chen, Luo Ji
WriteHERE: Adaptive Long-form Writing via Heterogeneous Recursive Planning with Language Models
Ruibin Xiong, Yimeng Chen, Dmitrii Khizbullin, Mingchen Zhuge, Jürgen Schmidhuber
Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning
Isadora White, Kolby Nottingham, Ayush Parasbhai Maniar, Max Robinson, Mehul Maheshwari, Hansen Lillemark, Lianhui Qin, Prithviraj Ammanabrolu
WorldGUI: An Interactive Benchmark for Desktop GUI Automation from Any Starting Point
Henry Hengyuan Zhao, Kaiming Yang, Wendi Yu, Difei Gao, Mike Zheng Shou
Stepwise Informativeness Search for Improving LLM Reasoning
Siyuan Wang, Enda Zhao, zhongyu wei, Xiang Ren
MASCA: LLM based-Multi Agents System for Credit Assessment
Gautam Jajoo, Pranjal A Chitale, Saksham Aggarwal
MMA-RAG: A Novel Modular RAG Framework With LLM-based Multi-agents Reinforcement Learning
Xiangwen Deng, Shenao Jiang, Yufeng Wang, FEICE HUANG, Jiawei Zhou, Peng Jiao, Yong Ge, Haoqian Wang
Gödel Agent: A Self-Referential Agent Framework for Recursively Self-Improvement
Xunjian Yin, Xinyi Wang, Liangming Pan, Li Lin, Xiaojun Wan, William Yang Wang
Scaling Web Agent Training through Automatic Data Generation and Fine-grained Evaluation
Lajanugen Logeswaran, Jaekyeom Kim, Sungryull Sohn, Creighton Glasscock, Honglak Lee