Gregory W. Wornell
Gregory W. Wornell has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Reasoning; often with Chuang Gan, David Cox, Dawn Song.
OpenAlex · ORCID · Wikidata · h-index 62 · 401 works · 34,451 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 15 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #11514
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArts and Humanities · 1 workArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 1 workHardware and Architecture · 1 work
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksReasoning · 1 work
Works by year
2020s
Papers
- Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search (2025 · 13 citations)
Most ways of boosting LLM reasoning at inference time rely on heavy sampling steered by a separate verifier or reward model. - Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption (2026 · 2 citations)
This position paper asks why LLM watermarking is rarely deployed despite many proposed algorithms. The authors argue that the main obstacle is not technical performance. Instead, LLM providers, platforms, and end users want different things. They identify three barriers: competitive risk for providers who adopt…
All works
- Using Unknown Occluders to Recover Hidden Scenes ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAdam Yedidia et al.2019 · 63 citations
- Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive SearcharXiv:2502.02508Maohao Shen, Guangtao Zeng, Zhenting Qi, et al.2025 · 13 citations
- Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical AdoptionFindings of the Association for Computational LinguisticsYepeng Liu, Xuandong Zhao, Dawn Song, et al.2026 · 2 citations
- PersonaMem-v3: Toward Omni-Platform Personal Intelligence for Holistic User Understanding, Recommendation, and Agentic Tasks ↗arXiv (Cornell University) · no summary yetBowen Jiang et al.2026
Co-authors here
Venues
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
Cited by
Updated
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