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Tongliang Liu

ICLR 2026×5CVPR 2026×4ACL 2026×2多模态安全对齐与偏好强化学习与后训练社会与人本
新星分资深
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0 一作 · 11 篇 · ICLR 2026 / CVPR 2026 / ACL 2026

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2026 顶会论文

11
作者位次 #6/6ACL 2026Poster· Natural Language Processing

Select Before Use: On the Importance of Reference Model Selection in Preference Alignment

Muyang Li · Runze Wu · an Jiaotong University) · Bo Han · Daoyi Dong · Tongliang Liu

摘要

The post-training stage of Large Language Models (LLMs) typically involves Supervised Fine-Tuning (SFT) followed by preference alignment to ensure LLM to generate safe, helpful, and instruction-aligned content. The SFT model critically serves as both the initialization and reference model for sub...

对齐与偏好强化学习与后训练OpenReview 项目页
作者位次 #6/8ACL 2026Findings· Findings of ACL

M ed DCR : Learning to Design Agentic Workflows for Medical Coding

Jiyang Zheng · Islam Nassar · Thanh Vu · Xu Zhong · Yang Lin · Tongliang Liu · Long Duong · Yuan-Fang Li

摘要

Medical coding converts free-text clinical notes into standardized diagnostic and procedural codes, which are essential for billing, hospital operations, and medical research. Unlike ordinary text classification, it requires multi-step reasoning: extracting diagnostic concepts, applying guideline...

评测与基准检索与知识社会与人本OpenReview 项目页

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