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What Limits Virtual Agent Application? OmniBench: A Scalable Multi-Dimensional Benchmark for Essential Virtual Agent Capabilities
Wendong Bu, Yang Wu, Qifan Yu, Minghe Gao, Bingchen Miao, Zhenkui Zhang, Kaihang Pan, Yunfei Li, Mengze Li, Wei Ji, Juncheng Li, Siliang Tang, Yueting Zhuang
- Published: 23 Sept 2025, Last Modified: 22 Nov 2025
- LAW
- Readers: Everyone
Reasoning Under Pressure: LLMs in Competitive Pokémon Battles
Tadisetty Sai Yashwanth, Dhatri C
- Published: 23 Sept 2025, Last Modified: 22 Nov 2025
- LAW
- Readers: Everyone
Bridging Symbols from Language and Hierarchical Reinforcement Learning with Active Imitation
Ziqi Ma, Sao Mai Nguyen, Philippe Xu
- Published: 23 Sept 2025, Last Modified: 22 Nov 2025
- LAW
- Readers: Everyone
Blocks, Bots, and Bottlenecks: Studying Real-time and Adaptive Multi-Agent LLM Collaboration
Isadora White, Kolby Nottingham, Max Robinson, Ayush Parasbhai Maniar, Mehul Maheshwari, Hansen Lillemark, Lianhui Qin, Prithviraj Ammanabrolu
- Published: 23 Sept 2025, Last Modified: 22 Nov 2025
- LAW
- Readers: Everyone
Bridging Tool Dependencies and Domain Knowledge: A Graph-Based Framework for In-Context Planning
Shengjie Liu, Li Dong, Zhenyu Zhang
- Published: 23 Sept 2025, Last Modified: 22 Nov 2025
- LAW
- Readers: Everyone
LLMs as Scalable, General-Purpose Simulators For Evolving Digital Agent Training
Yiming Wang, Da Yin, Yuedong Cui, Zhiqian Li, Ruichen Zheng, Zongyu Lin, Di Wu, Xueqing Wu, Chenchen Ye, Yu Zhou, Kai-Wei Chang
- Published: 23 Sept 2025, Last Modified: 22 Nov 2025
- LAW
- Readers: Everyone
GRIT: Teaching MLLMs to Think with Images
Yue Fan, Xuehai He, Diji Yang, Kaizhi Zheng, Ching-Chen Kuo, Yuting Zheng, Xinze Guan, Xin Eric Wang
- Published: 23 Sept 2025, Last Modified: 22 Nov 2025
- LAW
- Readers: Everyone
CausalARC: Abstract Reasoning with Causal World Models
Jacqueline R. M. A. Maasch, John Kalantari, Kia Khezeli
- Published: 23 Sept 2025, Last Modified: 22 Nov 2025
- LAW
- Readers: Everyone
Acting Less is Reasoning More! Teaching Language Model to Act Efficiently
Hongru WANG, Cheng Qian, Wanjun Zhong, Xiusi Chen, Jiahao Qiu, Shijue Huang, Bowen Jin, Mengdi Wang, Kam-Fai Wong, Heng Ji
- Published: 23 Sept 2025, Last Modified: 22 Nov 2025
- LAW
- Readers: Everyone
Physics Supernova: AI Agent Matches Elite Gold Medalists at IPhO 2025
Jiahao Qiu, Jingzhe Shi, Xinzhe Juan, Zelin Zhao, Jiayi Geng, Shilong Liu, Hongru WANG, Sanfeng Wu, Mengdi Wang
- Published: 23 Sept 2025, Last Modified: 22 Nov 2025
- LAW
- Readers: Everyone
Similar: A Step-Wise, Multi-Dimensional Reward Model for Virtual Agent Learning and Reasoning
Bingchen Miao, Yang Wu, Minghe Gao, Qifan Yu, Wendong Bu, Wenqiao Zhang, Yunfei Li, Siliang Tang, Tat-Seng Chua, Juncheng Li
- Published: 23 Sept 2025, Last Modified: 22 Nov 2025
- LAW
- Readers: Everyone
The Personality Illusion: Revealing Dissociation Between Self-Reports & Behavior in LLMs
Pengrui Han, Rafal Dariusz Kocielnik, Peiyang Song, Ramit Debnath, Dean Mobbs, Anima Anandkumar, R. Michael Alvarez
- Published: 23 Sept 2025, Last Modified: 22 Nov 2025
- LAW
- Readers: Everyone
Assessing Adaptive World Models in Machines with Novel Games
Lance Ying, Katherine M. Collins, Prafull Sharma, Cédric Colas, Kaiya Ivy Zhao, Adrian Weller, Zenna Tavares, Phillip Isola, Samuel J. Gershman, Jacob Andreas, Thomas L. Griffiths, Francois Chollet, Kelsey R Allen, Joshua B. Tenenbaum
- Published: 23 Sept 2025, Last Modified: 22 Nov 2025
- LAW
- Readers: Everyone
LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra
Seth Karten, Wenzhe Li, Zihan Ding, Samuel Kleiner, Yu Bai, Chi Jin
- Published: 23 Sept 2025, Last Modified: 22 Nov 2025
- LAW
- Readers: Everyone
Automated Reward Design for Gran Turismo
Michel Ma, Takuma Seno, Kaushik Subramanian, Peter R. Wurman, Peter Stone, Craig Sherstan
- Published: 23 Sept 2025, Last Modified: 22 Nov 2025
- LAW
- Readers: Everyone
Sample-Efficient Online Learning in LM Agents via Hindsight Trajectory Rewriting
Michael Y. Hu, Benjamin Van Durme, Jacob Andreas, Harsh Jhamtani
- Published: 23 Sept 2025, Last Modified: 22 Nov 2025
- LAW
- Readers: Everyone
Bootstrapping World Models from Dynamics Models in Multimodal Foundation Models
Yifu QIU, Yftah Ziser, Anna Korhonen, Shay B Cohen, Edoardo Ponti
- Published: 23 Sept 2025, Last Modified: 22 Nov 2025
- LAW
- Readers: Everyone
ABBEL: LLM Agents Acting through Belief Bottlenecks Expressed in Language
Aly Lidayan, Jakob Brandt Bjorner, Satvik Golechha, Alane Suhr
- Published: 23 Sept 2025, Last Modified: 22 Nov 2025
- LAW
- Readers: Everyone
Position: The Physics-Physical Reasoning Interplay is Key for Future Embodied World Models
Terry Jingchen Zhang, Kun Xiang, Yinya Huang, Jixi He, Zirong Liu, Yueling Tang, Ruizhe Zhou, Chengyu Yu, Xiaodan Liang
- Published: 23 Sept 2025, Last Modified: 22 Nov 2025
- LAW
- Readers: Everyone
CaughtCheating: Is Your MLLM a Good Cheating Detective? Exploring the Boundary of Visual Perception and Reasoning
Ming Li, Chenguang Wang, Tianyi Zhou
- Published: 23 Sept 2025, Last Modified: 22 Nov 2025
- LAW
- Readers: Everyone
Social Behaviour and Strategic Adaptation of LLMs in Multiplayer Sequential Games
Xijie Zeng, Frank Rudzicz, Marta Kryven
- Published: 23 Sept 2025, Last Modified: 22 Nov 2025
- LAW
- Readers: Everyone
The SWE-Bench Illusion: When State-of-the-Art LLMs Remember Instead of Reason
Shanchao Liang, Spandan Garg, Roshanak Zilouchian Moghaddam
- Published: 23 Sept 2025, Last Modified: 22 Nov 2025
- LAW
- Readers: Everyone
EvoMem: Improving Multi-Agent Planning with Dual-Evolving Memory
Wenzhe Fan, Ning Yan, Masood S. Mortazavi
- Published: 23 Sept 2025, Last Modified: 09 Dec 2025
- LAW
- Readers: Everyone
Evaluating Long-Context Reasoning in LLM-Based WebAgents
Andy Chung, Yichi Zhang, Kaixiang Lin, Aditya Rawal, Qiaozi Gao, Joyce Chai
- Published: 23 Sept 2025, Last Modified: 22 Nov 2025
- LAW
- Readers: Everyone
SAND: Boosting LLM Agents with Self-Taught Action Deliberation
Yu Xia, Yiran Jenny Shen, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Julian McAuley
- Published: 23 Sept 2025, Last Modified: 22 Nov 2025
- LAW
- Readers: Everyone

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