Author

Jia-Qi W. Ma

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#artificial intelligence Preprint Oct 2026

VeriFine: Scaling Verification for Self-Improvement in Embodied Reasoning

Self-improving policies continually expose new failure patterns, changing what their judges must be able to verify. However, current fixed judges constrain both optimization feedback and the discovery of useful training examples, limiting further self-improvement. This challenge is even more acute in embodied reasoning...

Ze-Wei Zhou, Rachel Luo, Yu-Long Cao et al. · 2 citations

#artificial intelligence Preprint Sep 2026

dattri-LLM: A Unified and Efficient Library for Training Data Attribution at LLM Scale

Training data attribution (TDA) estimates the contribution of individual training examples to model outputs. Most scalable TDA methods rely on per-example gradients, whose computation and use at LLM scale pose challenges in efficiency, compatibility, and extensibility. We introduce dattri-LLM, a TDA library that makes...

Shi-Xuan Liu, Tong-Li Zhou, Jun-Wei Deng et al. · 0 citations