Yitong Wang
Yitong Wang has 2 papers in our library, in 2026, most of them on Language models & pretraining, Efficient models & compression; often with Haoyu Wang, Jiansheng Wei, Junlan Feng.
OpenAlex · h-index 0 · 1 works · 0 citations OpenAlex, 2026-10-14
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksExperimental and Cognitive Psychology · 1 workPsychology · 1 work
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksEfficient models & compression · 1 work
Works by year
2020s
Papers
- Why Did Apple Fall: Evaluating Curiosity in Large Language Models (2026 · 1 citation)
Curiosity-inspired intrinsic rewards are increasingly used in RL training of LLMs, but it has not been checked whether these models actually behave in curious ways, or whether the reported gains simply come from amplified statistical signals such as entropy. - Soft Orthogonal Low-Rank Adaptation for Knowledge Sharing in Large Language Model Continual Learning (2026)
The paper addresses continual learning (CL) for large language models. Full retraining is too costly at this scale, and most existing CL methods focus only on preventing catastrophic forgetting, without exploiting knowledge that tasks could share. The authors first observe that better-performing CL models produce…
Co-authors here
- Haoyu Wang
- Jiansheng Wei
- Junlan Feng
- Lijun Mei
- Qian Hu
- Sihang Jiang
- Xiaojun Meng
- Xue Han
- Yanghua Xiao
- Ziqing Wang
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Updated
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