Yonghui Yang
Yonghui Yang has 2 papers in our library, in 2026, most of them on Language models & pretraining, Vision & language; often with Binbin Zheng, Junfeng Fang, Long Bai.
OpenAlex · ORCID · Wikidata · h-index 14 · 52 works · 762 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 3 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #12665
Affiliations
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksVision & language · 1 work
Works by year
2020s
Papers
- Maximizing Local Entropy Where It Matters: Prefix-Aware Localized LLM Unlearning (2026 · 2 citations)
Unlearning methods for LLMs aim to erase private or copyrighted knowledge without retraining. Most of them, such as GA and NPO, push down likelihoods over every token of a response and across the whole vocabulary. This wastes compute and harms general ability. The authors propose PALU (Prefix-Aware Localized… - Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation (2026)
Large vision-language models (LVLMs) often describe things that are not in the image. Representation-editing fixes are cheaper than fine-tuning on curated data, but they tend to damage general output quality, causing repetitive or incoherent text. The authors trace this damage to two causes. First, the extracted…
All works
- Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetYonghui Yang et al.2021 · 111 citations
- Joint Item Recommendation and Attribute Inference ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetLe Wu et al.2020 · 101 citations
- Maximizing Local Entropy Where It Matters: Prefix-Aware Localized LLM UnlearningAnnual Meeting of the Association for Computational Linguistics (ACL)Naixin Zhai, Pengyang Shao, Binbin Zheng, et al.2026 · 2 citations
- Mitigating Hallucinations in Large Vision-Language Models without Performance DegradationAnnual Meeting of the Association for Computational Linguistics (ACL)Xingyu Zhu, Junfeng Fang, Shuo Wang, et al.2026
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2026 ×2
- International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) ×2
Cited by
Updated
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