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Qiaoming Zhu

ACL 2026×4对齐与偏好可解释性数据与预训练效率与系统强化学习与后训练
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0 一作 · 4 篇 · ACL 2026

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2026 顶会论文

4
作者位次 #3/3ACL 2026Poster· Natural Language Processing

Discourse Coherence and Response-Guided Context Rewriting for Multi-Party Dialogue Generation

Zhiyu Cao · Peifeng Li · Qiaoming Zhu

摘要

Previous research on multi-party dialogue generation has predominantly leveraged structural information inherent in dialogues to directly inform the generation process. However, the prevalence of colloquial expressions and incomplete utterances in dialogues often impedes comprehension and weakens...

对齐与偏好可解释性数据与预训练OpenReview 项目页
作者位次 #3/3ACL 2026Poster· Natural Language Processing

Incorporating Temporal Coherence to Cross-Document Event Coreference Resolution

Xinyu Chen · Peifeng Li · Qiaoming Zhu

摘要

Previous work on cross-document event coreference resolution (CDECR) primarily focused on enhancing semantic coherence between event mentions, largely overlooking the critical aspect of temporal coherence. To address this issue, we propose CohTP, a novel Temporal Cohorence-driven event coreferenc...

可解释性强化学习与后训练效率与系统OpenReview 项目页
作者位次 #3/3ACL 2026Findings· Findings of ACL

Multi-Faceted Self-Consistent Preference Alignment for Query Rewriting in Conversational Search

Zhiyu Cao · Peifeng Li · Qiaoming Zhu

摘要

Conversational Query Rewriting (CQR) aims to rewrite ambiguous queries to achieve more efficient conversational search. Early studies have predominantly focused on the rewriting in isolation, ignoring the feedback from query rewrite, passage retrieval and response generation in the rewriting proc...

对齐与偏好检索与知识效率与系统OpenReview 项目页
作者位次 #4/4ACL 2026Findings· Findings of ACL

D ra DDP : A Multimodal Multi-Party Dialogue Discourse Parsing Dataset

Shannan Liu · Peifeng Li · Yaxin Fan · Qiaoming Zhu

摘要

Multi-party dialogue discourse parsing aims to identify dependency structures and relation types between utterances in conversations. Previous studies are mostly limited to textual modality or two-party dialogue, failing to meet the multimodal and multi-party settings. In this paper, we construct...

多模态评测与基准数据与预训练OpenReview 项目页

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