output
20042026
most citedDyson's Crank and the Mex of Integer Partitions

31 citations

Showing 2026Show all

12 papers · 1 filter

cs.AI2026

CoAdapt-GUI: Joint Workflow Context and Policy Adaptation for Unseen GUI Applications

Linqiang Guo, Li Gu, Zihuan Jiang +8

Mobile GUI agents remain brittle when deployed to applications absent from source training. We study novel-app generalization under a limited target interaction budget and without…

cs.SE2026

Independent Patch Verification for Coding Agents with a Bidirectional Reconstruct-and-Verify Framework

Chenglin Li, Yisen Xu, Zehao Wang +3

Autonomous coding agents powered by large language models can now generate code patches directly from bug reports, but a fundamental gap remains: once a patch is produced, no mecha…

cs.AI2026

Q-Reflector: Learning GUI Action Reflection with Generated Conditions

Linqiang Guo, Wei Liu, Li Gu +3

Mobile GUI agents require accurate action reflection for reliable long-horizon execution, assessing whether each action was successfully executed and whether its outcome constitute…

cs.SE2026

Turning Interaction History into Execution State: A Runtime Layer for Long-Horizon Coding Agents

Zehao Wang, Yisen Xu, Chenglin Li +5

Long-horizon coding agents accumulate hundreds of actions and observations in their trajectories, yet nothing in this record indicates which observations still describe the reposit…

cs.SE2026

Retrieval-Oriented Code Representations in Agentic Bug Localization

Genevieve Caumartin, Tse-Hsun, Chen +1

LLM-based agents are increasingly being used to support software development, yet their performance in repository-level tasks depends on retrieving the right code context. Existing…

cs.SE2026

Bug Report Specification Refinement with Trajectory Guidance for Automated Program Repair

S M Farah Al Fahim, Md Nakhla Rafi, Md Ahasanuzzaman +5

Bug reports serve as task specifications for repository-level automated program repair (APR) agents, but they often describe only the observed failure and omit repair-relevant info…