Yizhi Li
2 papers · Latest:
Natural Language Processing
A Self-Evolving Framework for Efficient Terminal Agents via Observational Context Compression
TACO is a self-evolving framework that efficiently compresses observational context for terminal agents, reducing token costs and improving performance.
2604.19572
InCoder-32B-Thinking: Industrial Code World Model for Thinking
InCoder-32B-Thinking generates expert reasoning traces for industrial code by combining error-driven chain-of-thought with a hardware-aware world model.
2604.03144
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