Haoran Ye
Haoran Ye has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining, Reasoning; often with Guojie Song, Haonan Dong, Kehan Jiang.
OpenAlex · h-index 0 · 1 works · 0 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 43 times in our library · ⭐ Paper Stars ranking: #7656
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Fields, topics and concepts
📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksPsychology · 1 workSafety Research · 1 workSocial Psychology · 1 workSocial Sciences · 1 work
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 work
Works by year
2020s
Papers
- ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language Models (2024 · 43 citations)
LLMs increasingly act as stand-ins for people in education, healthcare and other public-facing settings, so it matters which values they express and how well they grasp human values. - NeuReasoner: Towards Explainable, Controllable, and Unified Reasoning via Mixture-of-Neurons (2026 · 13 citations)
Large Reasoning Models still make three kinds of mistakes. Within a step, they get calculations or derivations wrong. Across steps, they loop or stall. At the instance level, they over-think easy questions. Earlier fixes target only one of these, rely on opaque RL training, and offer little insight or control.
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