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Yu Hong

ACL 2026×2强化学习与后训练推理对齐与偏好可解释性多模态
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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 #3/4ACL 2026Poster· Natural Language Processing

HTMR : Hybrid Token Masking Reinforcement Learning with Verifiable Rewards for Event Argument Extraction with Multi-Perspective Reasoning

Jianwen Luo · Yongkang Jin · Yu Hong · Jianmin Yao

摘要

Event Argument Extraction (EAE) aims to identify event arguments and assign semantic roles under a predefined schema. Recent work formulates EAE with large language models as a structured conditional generation task and applies Reinforcement Learning with Verifiable Rewards (RLVR) to optimize seq...

强化学习与后训练推理对齐与偏好OpenReview 项目页
作者位次 #7/7ACL 2026Poster· Natural Language Processing

Looking Beyond the One: Operationalizing and Eliciting Visual Ambiguity in VLLM s

Yuchong Chen · Bowei Zou · Yuhan Chen · Yifan Fan · Xinyu Li · Shujun Cao · Yu Hong

摘要

Visual questions are often ambiguous: the same image–question pair may admit multiple valid answers depending on which region is referenced. However, current Visual Question Answering (VQA) systems typically collapse this ambiguity, committing to a single interpretation during decoding and evalua...

可解释性多模态检索与知识OpenReview 项目页

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