5 papers
ADK Arena: Evaluating Agent Development Kits via LLM-as-a-Developer
Jintao Huang, Xiaomin Li, Gaurav Mittal +1
The rapid proliferation of Agent Development Kits (ADKs), SDK-level frameworks for building LLM-powered autonomous agents, has outpaced any empirical understanding of how framework…
AgentLens: Revealing The Lucky Pass Problem in SWE-Agent Evaluation
Priyam Sahoo, Gaurav Mittal, Xiaomin Li +4
Evaluation of software engineering (SWE) agents is dominated by a binary signal: whether the final patch passes the tests. This outcome-only view treats a principled solution and a…
Multi-Rollout On-Policy Distillation via Peer Successes and Failures
Weichen Yu, Xiaomin Li, Yizhou Zhao +8
Large language models are often post-trained with sparse verifier rewards, which indicate whether a sampled trajectory succeeds but provide limited guidance about where reasoning s…
PrecisionCUA: Iterative Visual Refinement for Pixel-Precise Cursor Grounding in Code Editors
Himangi Mittal, Gaurav Mittal, Nelson Daniel Troncoso +1
Computer Use Agents (CUAs) fundamentally rely on graphical user interface (GUI) grounding to translate language instructions into executable screen actions, but editing-level groun…
Learning Correct Behavior from Examples: Validating Sequential Execution in Autonomous Agents
Reshabh K Sharma, Gaurav Mittal, Yu Hu
As autonomous agents become increasingly sophisticated, validating their sequential behavior presents a significant challenge. Traditional testing approaches require manual specifi…