collaborators

6 papers

cs.AI2026

World Models in Pieces: Structural Certification for General Agents

Yikai Lu, Yifei Wu, Xinyu Lu +1

In the big-world regime, agents cannot be universally capable and their ability is inevitably specialized across a world model in pieces. Consequently, standard uniform guarantees…

cs.AI2026

EComAgentBench: Benchmarking Shopping Agents on Long-Horizon Tasks with Distributed Hidden Intent

Zeyao Du, Tong Li, Yanci Zhang +1

As LLM-based shopping agents enter production, existing benchmarks fail to capture how a shopper's requirements arrive: stated implicitly in the query, recorded in a profile, or re…

eess.SY2026

Bridging Natural Language and Microgrid Dynamics: A Context-Aware Simulator and Dataset

Tinko Sebastian Bartels, Ruixiang Wu, Xinyu Lu +5

Addressing the critical need for intelligent, context-aware energy management in renewable systems, we introduce the OpenCEM Simulator and Dataset: the first open-source digital tw…

eess.SY2025

DCT-MARL: A Dynamic Communication Topology-Based MARL Algorithm for Connected Vehicle Platoon Control

Yaqi Xu, Yan Shi, Jin Tian +4

With the rapid advancement of vehicular communication facilities and autonomous driving technologies, connected vehicle platooning has emerged as a promising approach to improve tr…

cs.LG2025

Beyond Numeric Rewards: In-Context Dueling Bandits with LLM Agents

Fanzeng Xia, Hao Liu, Yisong Yue +1

In-Context Reinforcement Learning (ICRL) is a frontier paradigm to solve Reinforcement Learning (RL) problems in the foundation model era. While ICRL capabilities have been demonst…

cs.AI2025

Rethinking the Unsolvable: When In-Context Search Meets Test-Time Scaling

Fanzeng Xia, Yidong Luo, Tinko Sebastian Bartels +2

Recent research has highlighted that Large Language Models (LLMs), even when trained to generate extended long reasoning steps, still face significant challenges on hard reasoning…