ArXiv TLDR

Ran Tao

3 papers · Latest:

Natural Language Processing

ClawGym: A Scalable Framework for Building Effective Claw Agents

ClawGym introduces a scalable framework for developing Claw-style agents, including a synthetic dataset, trained models, and an evaluation benchmark.

2604.26904
Natural Language Processing

Beyond N-gram: Data-Aware X-GRAM Extraction for Efficient Embedding Parameter Scaling

X-GRAM is a new framework that enhances embedding parameter efficiency and scaling in large language models by addressing memory growth and redundancy.

2604.21724

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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