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Long Xia

ACL 2026×3AAAI 2026KDD 2026NeurIPS 2026对齐与偏好社会与人本强化学习与后训练推理效率与系统
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0 一作 · 6 篇 · ACL 2026 / AAAI 2026 / KDD 2026 / NeurIPS 2026

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2026 顶会论文

6
作者位次 #7/10ACL 2026Poster· Natural Language Processing

R eflect RM : Boosting Generative Reward Models via Self-Reflection within a Unified Judgment Framework

Kai Qin · Liangxin Liu · Yu Liang · Longzheng Wang · Wangyan · Zhang Yueyang · Long Xia · Zhiyuan Sun · Houde Liu · Daiting Shi

摘要

Reward Models (RMs) are critical components in the Reinforcement Learning from Human Feedback (RLHF) pipeline, directly determining the alignment quality of Large Language Models (LLMs). Recently, Generative Reward Models (GRMs) have emerged as a superior paradigm, offering higher interpretabilit...

对齐与偏好评测与基准社会与人本OpenReview 项目页
作者位次 #6/8ACL 2026Poster· Natural Language Processing

C onsist RM : Improving Generative Reward Models via Consistency-Aware Self-Training

Yu Liang · Liangxin Liu · Longzheng Wang · Wangyan · Zhang Yueyang · Long Xia · Zhiyuan Sun · Daiting Shi

摘要

Generative reward models (GRMs) have emerged as a promising approach for aligning Large Language Models (LLMs) with human preferences by offering greater representational capacity and flexibility than traditional scalar reward models. However, GRMs face two major challenges: reliance on costly hu...

对齐与偏好强化学习与后训练社会与人本OpenReview 项目页
作者位次 #11/12ACL 2026Findings· Findings of ACL

U ni C reative: Unifying Long-form Logic and Short-form Sparkle via Reference-Free Reinforcement Learning

Xiaolong Wei · Zerun Zhu · Simin Niu · Xingyu Zhang · Peiying Yu · Changxuan Xiao · Yuchen Li · Jicheng Yang · Zhejun Zhao · Chong Meng · Long Xia · Daiting Shi

摘要

A fundamental challenge in creative writing lies in reconciling the inherent tension between maintaining global coherence in long-form narratives and preserving local expressiveness in short-form texts. While long-context generation necessitates explicit macroscopic planning, short-form creativit...

对齐与偏好强化学习与后训练推理OpenReview 项目页

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