Yilun Zhou
Yilun Zhou has 4 papers in our library, in 2024–2026, most of them on Language models & pretraining, Reasoning; often with Caiming Xiong, Austin Xu, Shafiq Joty.
OpenAlex · ORCID · Wikidata · h-index 16 · 69 works · 1,144 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 123 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #7765
Affiliations
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 2 works
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksReasoning · 1 work
Works by year
2020s
Papers
- Direct Judgement Preference Optimization (2025 · 35 citations)
LLM-as-judge models are usually trained with supervised finetuning on fairly small datasets and cover only narrow evaluation formats, often just pairwise comparison. - Shared Imagination: LLMs Hallucinate Alike (2024 · 7 citations)
Modern LLMs are trained with very similar recipes, so the authors ask whether the resulting models are also similar in what they invent. - All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other Tokens (2025 · 6 citations)
The paper asks how much of a transformer's theoretical capacity for cross-token communication LLMs actually use when they do "mental math": one-token answers to two- or three-operand arithmetic, with no chain-of-thought. - J4R: Learning to Judge with Equivalent Initial State Group Relative Policy Optimization (2026 · 3 citations)
LLM-as-judge models handle simple tasks like chat quality well, but they struggle to evaluate reasoning-heavy outputs.
All works
- A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models ↗arXiv:2407.02646 · no summary yetDaking Rai et al.2024 · 58 citations
- Direct Judgement Preference OptimizationConference on Empirical Methods in Natural Language Processing (EMNLP)PeiFeng Wang, Austin Xu, Yilun Zhou, et al.2025 · 35 citations
- CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities ↗Findings of the Association for Computational Linguistics: ACL 2024 · no summary yetYujun Mao, Yoon Kim, Yilun Zhou2024 · 34 citations
- Shared Imagination: LLMs Hallucinate AlikearXiv:2407.16604Yilun Zhou, Caiming Xiong, Silvio Savarese, et al.2024 · 7 citations
- All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other TokensConference on Empirical Methods in Natural Language Processing (EMNLP)Siddarth Mamidanna, Daking Rai, Ziyu Yao, et al.2025 · 6 citations
- J4R: Learning to Judge with Equivalent Initial State Group Relative Policy OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Austin Xu, Yilun Zhou, Xuan-Phi Nguyen, et al.2026 · 3 citations
Co-authors here
- Caiming Xiong ×3
- Austin Xu ×2
- Shafiq Joty ×2
- Chien-Sheng Wu
- PeiFeng Wang
- Silvio Savarese
- Xuan-Phi Nguyen
- Ziyu Yao
Venues
- Conference on Empirical Methods in Natural Language Processing (EMNLP) ×2: EMNLP 2025 ×2
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Findings of the Association for Computational Linguistics: ACL 2024
Cited by
Updated
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