Author

Yang Yu

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Preprint Oct 2026

miniTE: Diagnosing and Bridging the Execution Gap in Native NVFP4 Reinforcement Learning

Native NVFP4 promises to accelerate reinforcement learning (RL) for large language models (LLMs), but achieving stable learning across separate training and sampling engines remains challenging. We show that matching model weights and numerical formats is insufficient to ensure consistent policy evaluation, highlightin...

Zhen Li, Ming-Fa Feng, Yi-Ming Zhang et al. · 0 citations

#artificial intelligence Preprint Oct 2026

TRIAGE: Direction-Aware Mismatch Stabilization of Native NVFP4 Reinforcement Learning

This paper characterize the interaction between mismatch and the policy-gradient direction, distinguishing locally amplifying from contracting update contributions that mismatch magnitude alone cannot identify and introduces TRIAGE, a direction-aware stabilization method that uses segment-level diagnosis to selectively...

Zhen Li, Shuai Zhang, Yang-Gan Gu et al. · 0 citations

#computer vision Preprint Sep 2026

InfiMed2: A Generalist Medical Multimodal Foundation Model from Contextual Evidence and Stability-Aware Supervision

This work introduces InfiMed2, a family of 4B and 27B generalist medical multimodal foundation models built around stage-aware data design, and curates a 55.68B-token corpus that combines broad clinical knowledge with context-rich biomedical visual evidence through source-specific processing.

Guang-Hao Zhu, Ze-Yu Liu, Zhitian Hou et al. · 0 citations

Preprint Aug 2026

ELBench: A Multi-Dimensional Benchmark for Education-Facing Large Language Models

ELBench is introduced, the first benchmark to evaluate all four requirements (General Capability, Safety and Trustworthiness, Basic Education, and High-Level Cultivation) on the same models under a common protocol, combining curated public sources with newly synthesized safety and cultivation data.

Yi-Lin Jiang, Xiao-Rong Zhu, Fei Tan et al. · 0 citations

#machine learning Preprint Apr 2026

Performance Manipulation: Labor Market Implications in AI-assisted Era

This work establishes the existence of a symmetric, monotone pure-strategy equilibrium and shows that performance-based screening remains viable so long as evaluations retain a sufficient creative component, but collapses into an uninformative pooling equilibrium once AI capability grows large enough to crowd out creat...

Xiaoyun Qiu, Yang Yu, Haifeng Xu · 1 citation

Preprint Aug 2026

ADE: Agentic Data Evolution Framework for Human-Centered Objectives

Agentic Data Evolution is proposed, a data-centric framework that organizes synthetic supervision as evolving data snapshots through a closed-loop Observation-Variation-Selection procedure, where a steady-state admission mechanism acts as a quality ratchet that conservatively gates updates for sustained cross-round imp...

Yang Yu, Yi-Lin Jiang, Zexuan Fei et al. · 0 citations