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Ya-Han Li

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Review Open access Nov 2026

Machine learning for RNA–small molecule interactions: methodologies, evaluation, and future directions

Abstract RNA is emerging as a compelling therapeutic target due to its rich structural diversity and central involvement in gene regulation, splicing, translation, and cellular signaling. Alongside advances in structural biology, computational approaches, especially machine learning and deep learning, have transformed...

Song Chen, Zhi-Jian Huang, Yu-Cheng Wang et al. · 0 citations
Preprint Oct 2026

BOSS: Token-Budgeted Online Sampling and Selection for LLM Reasoning

Generation-adjudication allocation is established as a distinct design axis for reasoning under strict per-instance caps under hard per-instance caps for LLM reasoning.

Yu-Peng Chang, Ya-Han Li, Chen-Lu Guo et al. · 0 citations
#artificial intelligence Preprint Oct 2026

ReFormBench: Benchmarking the Stability of Response-Conditioned Format Correction in Large Language Models

Reliable use of large language models requires responses to satisfy formatting requirements across changing instructions. Standard compliance scores do not distinguish preserving a model's observed format from correcting it, or reveal whether that correction holds across variants. We introduce ReFormBench, a benchmark...

Tian-Xiang Gao, Ya-Han Li, Chen-Lu Guo et al. · 0 citations
Sep 2026

Circ_0004801 promotes tau hyperphosphorylation and cognitive impairment in Alzheimer's disease through the miR-7688-5p/TTBK1 axis.

Circ_0004801 acts as an upstream regulator of TTBK1 by sequestering miR-7688-5p, thereby promoting tau hyperphosphorylation and cognitive impairment in AD and may represent a potential target for tau-directed intervention.

Qing-Qing Li, Jie Xiao, Guo-Rong Deng et al. · 0 citations
#natural language process... Preprint Mar 2026

CounselReflect: Opportunities and Challenges for Designing Tools to Support Self-Reflection on Mental Health and Well-Being Conversations with AI

CounselReflect is introduced, a tool that translates literature-grounded counseling quality metrics into a user-facing reflection framework that argues that reflection tools should surface blind spots and scaffold more holistic examination of AI interactions.

Ya-Han Li, Chao-Hao Du, Christopher Chun Kuizon et al. · 0 citations

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