Jun Xie
4 indexed papers
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The paper introduces FraudBench, a multimodal benchmark designed to detect AI-generated fraudulent refund evidence, finding that current AI models struggle significantly with claim-conditioned fake-damage detection.
This paper introduces CORE-Bench, a comprehensive benchmark for code retrieval in agentic coding.
The paper proposes ECHO, a selective turn-memory framework for long-horizon language agents that addresses history collapse and traceable learning through source-indexed reconstruction.
This paper introduces a new approach for high-dimensional one-step generation using a Three-Body Scattering Model (TBSM) with a proper distributional energy.
Papers
Three-Body Scattering for Generative Modeling
Peng Sun, Zhenglin Cheng, Deyuan Liu, Jun Xie +2 more
This paper introduces a new approach for high-dimensional one-step generation using a Three-Body Scattering Model (TBSM) with a proper distributional energy.