Tengxiao Liu
Tengxiao Liu has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining, Reasoning; often with Deepak Nathani, Kai Lv, Kevin Yang.
OpenAlex · h-index 15 · 31 works · 906 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 47 times in our library · ⭐ Paper Stars ranking: #6276
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 · 1 workReasoning · 1 work
Works by year
2020s
Papers
- Full Parameter Fine-tuning for Large Language Models with Limited Resources (2024 · 143 citations)
Full parameter fine-tuning of large language models usually requires expensive hardware such as multiple 80GB GPUs. - WildSci: Advancing Scientific Reasoning from In-the-Wild Literature (2026)
Reinforcement learning with verifiable rewards (RLVR) has driven LLM reasoning gains mostly in math and code.
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2024
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
Updated
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