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Michelle Wastl

ACL 2026×2评测与基准检索与知识多语言与语言学对齐与偏好强化学习与后训练
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合作网络6
1 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

It’s Not What You Say, It’s How You Say It: Evaluating LLM Responses to Expressions of Belief

Kevin Du · Clara Kümpel · Michelle Wastl · Alex Warstadt

摘要

Users frequently express their beliefs to large language models (LLMs). In some situations, the LLM should accept these contextual beliefs as true. In others, they should stick to their prior knowledge. Notably, users’ expressions of belief (EoBs) can take linguistically diverse forms—using presu...

评测与基准检索与知识多语言与语言学OpenReview 项目页
一作ACL 2026Poster· Natural Language Processing

S wiss G ov- RSD : A Human-annotated, Cross-lingual Benchmark for Token-level Recognition of Semantic Differences Between Related Documents

Michelle Wastl · Jannis Vamvas · Rico Sennrich

摘要

Recognizing semantic differences across documents is crucial for text generation evaluation and content alignment, especially in cross-lingual settings. However, as a standalone task, it has received little attention. We address this by introducing SwissGov-RSD, the first naturalistic, document-l...

评测与基准对齐与偏好强化学习与后训练OpenReview 项目页

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