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Jia-Lin Yu

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Preprint Oct 2026

TDLM: Adaptive Temporal Integration for Diffusion Language Models

Masked diffusion language models repeatedly compute representations for unresolved tokens, but conventional denoisers do not explicitly retain these representations for reuse across steps. We introduce Temporal Self-Conditioning Diffusion Language Model (TDLM), which lets each unresolved position attend to its own hist...

Bo-Han Sun, Max Zhu, Francesco Caso et al. · 0 citations
#artificial intelligence Preprint Oct 2026

BazaarBench: Delegation Safety in Decentralized C2C Marketplaces Run by LLM Agents

In decentralized consumer-to-consumer (C2C) marketplaces, people list goods, negotiate with strangers, and rate one another, so trust rests on reputation. Large language model (LLM) agents now act for users, raising risks to their money, privacy, and reputation. We introduce BazaarBench, a simulated C2C marketplace and...

Ziyan Wang, Shu-Qing Shi, James Oldfield et al. · 0 citations
#machine learning Preprint Aug 2026

Conformalized Large Language Models under Configuration Shift

It is found that configuration shift consistently erodes CP validity, often driving empirical coverage below the target, and coverage lower bounds are derived that attribute this loss to a discrepancy between calibration and test score distributions.

Yuqicheng Zhu, Jia-Lin Yu, Lin Li et al. · 0 citations

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