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Guojiang Zhao

ACL 2026×2推理强化学习与后训练评测与基准对齐与偏好
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0 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #4/5ACL 2026Poster· Natural Language Processing

T ^\star : Progressive Block Scaling for Masked Diffusion Language Models Through Trajectory Aware Reinforcement Learning

Hanchen Xia · Baoyou Chen · Yutang Ge · Guojiang Zhao · Siyu Zhu

摘要

We present T ^\star , a simple TraceRL-based curriculum for progressive block-size scaling in masked diffusion language models (MDMs).Starting from an AR-initialized small-block MDM, T ^\star gradually increases the block size while re-optimizing the denoising policy at each stage, enabling highe...

推理强化学习与后训练评测与基准OpenReview 项目页
作者位次 #2/10ACL 2026Findings· Findings of ACL

P roto C ycle: Reflective Tool-Augmented Planning for Text-Guided Protein Design

Yutang Ge · Guojiang Zhao · Sihang Li · Zheng Cheng · Zifeng Zhao · Hanchen Xia · Guolin Ke · Linfeng Zhang · Zhifeng Gao · Yu Guang Wang

摘要

Designing proteins that satisfy natural language functional requirements is a central goal in protein engineering. A straightforward baseline is to fine-tune generic instruction-tuned LLMs as direct text-to-sequence generators, but this is data- and compute-hungry. With limited supervision, LLMs...

对齐与偏好强化学习与后训练推理OpenReview 项目页

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