Weinan Zhang
4 papers · Latest:
SWE-Cycle: Benchmarking Code Agents across the Complete Issue Resolution Cycle
SWE-Cycle introduces a new benchmark and SWE-Judge evaluation system to accurately assess autonomous code agents across the complete software issue resolution cycle.
PRTS: A Primitive Reasoning and Tasking System via Contrastive Representations
PRTS is a VLA model that uses contrastive Goal-Conditioned RL to learn goal-reachability, significantly improving robot task execution and long-horizon planning.
Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations
MARC compresses LLM representations for recommendation systems by addressing mid-layer advantage, improving efficiency and effectiveness.
Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering
LLM agents increasingly externalize capabilities like memory, skills, and protocols into surrounding infrastructure, transforming how they solve complex tasks.
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