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Pavel Chizhov

ACL 2026×2ICLR 2026数据与预训练社会与人本多模态安全效率与系统
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一作贡献30
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合作网络9
1 一作 · 3 篇 · ACL 2026 / ICLR 2026

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2026 顶会论文

3
一作ACL 2026Poster· Natural Language Processing

From Where Words Come: Efficient Regularization of Code Tokenizers Through Source Attribution

Pavel Chizhov · Egor Bogomolov · Ivan P. Yamshchikov

摘要

Efficiency and safety of Large Language Models (LLMs), among other factors, rely on the quality of tokenization. A good tokenizer not only improves inference speed and language understanding but also provides extra defense against jailbreak attacks and lowers the risk of hallucinations. In this w...

安全效率与系统代码OpenReview 项目页
作者位次 #2/6ACL 2026Findings· Findings of ACL

Model in Distress: Sentiment Analysis on F rench Synthetic Social Media

Pierre-Carl Langlais · Pavel Chizhov · Yannick Detrois · Carlos Rosas-Hinostroza · Ivan P. Yamshchikov · Bastien Perroy

摘要

Automated analysis of customer feedback on social media is hindered by three challenges: the high cost of annotated training data, the scarcity of evaluation sets, especially in multilingual settings, and privacy concerns that prevent data sharing and reproducibility. We address these issues by d...

数据与预训练多语言与语言学社会与人本OpenReview 项目页

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