collaborators

7 papers

cs.AI2026

Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity

Menglin Xia, Xuchao Zhang, Shantanu Dixit +6

Agent memory systems must accommodate continuously growing information while supporting efficient, context-aware retrieval for downstream tasks. Abstraction is essential for scalin…

cs.CL2026

Memory Makes the Difference: Evaluating How Different Memory Roles Shape Conversational Agents

Yuxin Wang, Paul Thomas, Zhiwei Yu +5

Prior research on memory mechanism in RAG-based conversational system has emphasized how memory is stored and retrieved. However, far less is known about how memories with differen…

cs.AI2026

ACON: Optimizing Context Compression for Long-horizon LLM Agents

Minki Kang, Wei-Ning Chen, Dongge Han +5

Large language models (LLMs) are increasingly deployed as agents in dynamic real-world environments, where success depends on maintaining precise records of actions and observation…

cs.CV2026

Learning GUI Grounding with Spatial Reasoning from Visual Feedback

Yu Zhao, Wei-Ning Chen, Huseyin Atahan Inan +8

Graphical User Interface (GUI) grounding is commonly framed as a coordinate prediction task -- given a natural language instruction, generate on-screen coordinates for actions such…

cs.CR2026

CI-Work: Benchmarking Contextual Integrity in Enterprise LLM Agents

Wenjie Fu, Xiaoting Qin, Jue Zhang +5

Enterprise LLM agents can dramatically improve workplace productivity, but their core capability, retrieving and using internal context to act on a user's behalf, also creates new…

cs.SE2026

Computer-Using World Model

Yiming Guan, Rui Yu, John Zhang +15

Agents operating in complex software environments benefit from reasoning about the consequences of their actions, as even a single incorrect user interface (UI) operation can derai…