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JW

Jingyi Wang

ACL 2026×2对齐与偏好推理可解释性检索与知识多模态
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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

From ID to LLM : Rethinking Representation Learning for Recommendation

Song-Li Wu · Zhaocheng Du · Weinan Gan · Jingyi Wang · Xianquan Wang

摘要

Recent studies indicate a fundamental incompatibility between ID representations and language model (LM) representations, as they capture behavioral and semantic spaces respectively. This mismatch leads LM representations to consistently underperform ID representations in recommendation tasks. In...

对齐与偏好推理可解释性OpenReview 项目页
作者位次 #4/4ACL 2026Findings· Findings of ACL

C a PE dit: Capability-Preserving Lifelong Knowledge Editing For Language Models

Song-Li Wu · Zhaocheng Du · Xianquan Wang · Jingyi Wang

摘要

Lifelong knowledge editing (LKE) aims to incrementally correct factual inaccuracies in large language models (LLMs), but sequential edits can lead to substantial degradation of capabilities. Existing approaches primarily rely on static parameter regularization, which restricts knowledge integrati...

检索与知识多模态OpenReview 项目页

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