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Kewei Xu

ACL 2026ICLR 2026KDD 2026SIGIR 2026对齐与偏好智能体与工具评测与基准可解释性强化学习与后训练
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0 一作 · 4 篇 · ACL 2026 / ICLR 2026 / KDD 2026 / SIGIR 2026

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2026 顶会论文

4
作者位次 #2/11ACL 2026Poster· Natural Language Processing

How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities

Ziwen Xu · Kewei Xu · Haoming Xu · Haiwen Hong · Longtao Huang · Hui Xue · Ningyu Zhang · Yongliang Shen · Guozhou Zheng · Huajun Chen · Shumin Deng

摘要

Large Language Models (LLMs) are increasingly deployed in socially sensitive domains, yet their unpredictable behaviors, ranging from misaligned intent to inconsistent personality, pose significant risks. We introduce SteerEval, a hierarchical benchmark for evaluating LLM controllability across t...

可解释性评测与基准对齐与偏好OpenReview 项目页
作者位次 #5/10SIGIR 2026Poster· Information Retrieval (Industry)

GenRec: A Preference-Oriented Generative Framework for Large-Scale Recommendation

Yanyan Zou · Junbo Qi · Lunsong Huang · Yu Li · Kewei Xu · Jiahao Gao · Binglei Zhao · Xuanhua Yang · Sulong Xu · Shengjie Li

摘要

Generative Retrieval (GR) offers a promising paradigm for recommendation through next-token prediction (NTP). However, scaling it to large-scale industrial systems introduces three challenges: (i) within a single request, the identical model inputs may produce inconsistent outputs due to the pagi...

对齐与偏好强化学习与后训练可解释性OpenReview

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