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Zheyong Xie

ACL 2026×2ICLR 2026KDD 2026强化学习与后训练推理多模态社会与人本对齐与偏好
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0 一作 · 4 篇 · ACL 2026 / ICLR 2026 / KDD 2026

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2026 顶会论文

4
作者位次 #7/8ACL 2026Poster· ACL Industry Track

R ed O ne 2.0: Rethinking Domain-specific LLM Post-Training in Social Networking Services

Fei zhao · Chonggang Lu · Haofu Qian · Fangcheng Shi · Zijie Meng · Jianzhao Huang · Zheyong Xie · Shaosheng Cao

摘要

As a primary medium for human interaction and information exchange, social networking services (SNS) present distinct challenges for large language models (LLMs): rapidly evolving norms and slang, and culturally diverse content that causes knowledge distribution shift. While supervised fine-tunin...

强化学习与后训练社会与人本对齐与偏好OpenReview 项目页
作者位次 #2/5ACL 2026Findings· Findings of ACL

One Token Is Enough: Improving Diffusion Language Models with a Sink Token

Zihou Zhang · Zheyong Xie · Li Zhong · Haifeng Liu · Shaosheng Cao

摘要

Diffusion Language Models (DLMs) have emerged as a compelling alternative to autoregressive approaches, enabling parallel text generation with competitive performance. Despite these advantages, there is a critical instability in DLMs: the moving sink phenomenon. Our analysis indicates that sink t...

可解释性效率与系统长上下文与架构OpenReview 项目页

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