Most Cited 2025 Highlight by Tomek Korbak Papers

4 papers found

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Conference

AAAI 2025 (3,028)COLM 2025 (418)CVPR 2025 (2,873)ICCV 2025 (2,701)ICLR 2025 (3,827)ICML 2025 (3,340)ISMAR 2025 (229)NEURIPS 2025 (5,858)AAAI 2024 (2,289)CVPR 2024 (2,716)ECCV 2024 (2,387)ICLR 2024 (2,297)ICML 2024 (2,635)

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poster (24,624)paper (8,558)oral (1,594)spotlight (1,421)highlight (975)
#1

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback

Javier Rando, Tony Wang, Stewart Slocum et al.

ICLR 2025arXiv:2307.15217
750
citations
#2

Inverse Scaling: When Bigger Isn't Better

Joe Cavanagh, Andrew Gritsevskiy, Najoung Kim et al.

ICLR 2025arXiv:2306.09479
186
citations
#3

Looking Inward: Language Models Can Learn About Themselves by Introspection

Felix Jedidja Binder, James Chua, Tomek Korbak et al.

ICLR 2025oralarXiv:2410.13787
44
citations
#4

Fundamental Limitations in Pointwise Defences of LLM Finetuning APIs

Xander Davies, Eric Winsor, Alexandra Souly et al.

NEURIPS 2025arXiv:2502.14828
10
citations