Fine-Tuning Tree-LSTM for Phrase-Level Sentiment Classification on a Polish Dependency Treebank. - Tomasz Korbak; Paulina Zak (LCT, 2017)

Fine-tuning Tree-LSTM for phrase-level sentiment classification on a Polish dependency treebank. Submission to PolEval task 2. - Tomasz Korbak; Paulina Zak (CoRR, 2017)

Exploiting Unsupervised Pre-training and Automated Feature Engineering for Low-resource Hate Speech Detection in Polish. - Renard Korzeniowski; Rafal Rolczynski; Przemyslaw Sadownik; Tomasz Korbak; Marcin Mozejko (CoRR, 2019)

Developmentally motivated emergence of compositional communication via template transfer. - Tomasz Korbak; Julian Zubek; Lukasz Kucinski; Piotr Milos; Joanna Raczaszek-Leonardi (CoRR, 2019)

The Emergence of Action-grounded Compositional Communication. - Krzysztof Glówka; Michal Niklewski; Joanna Wiszowata; Tomasz Korbak; Joanna Raczaszek-Leonardi; Julian Zubek (CogSci, 2020)

Measuring non-trivial compositionality in emergent communication. - Tomasz Korbak; Julian Zubek; Joanna Raczaszek-Leonardi (CoRR, 2020)

Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication. - Lukasz Kucinski; Tomasz Korbak; Pawel Kolodziej; Piotr Milos (NeurIPS, 2021)

Energy-Based Models for Code Generation under Compilability Constraints. - Tomasz Korbak; Hady Elsahar; Marc Dymetman; Germán Kruszewski (CoRR, 2021)

Controlling Conditional Language Models with Distributional Policy Gradients. - Tomasz Korbak; Hady Elsahar; Germán Kruszewski; Marc Dymetman (CoRR, 2021)

RL with KL penalties is better viewed as Bayesian inference. - Tomasz Korbak; Ethan Perez; Christopher L. Buckley (EMNLP (Findings), 2022)

Controlling Conditional Language Models without Catastrophic Forgetting. - Tomasz Korbak; Hady Elsahar; Germán Kruszewski; Marc Dymetman (ICML, 2022)

On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting. - Tomasz Korbak; Hady Elsahar; Germán Kruszewski; Marc Dymetman (NeurIPS, 2022)

Aligning Language Models with Preferences through f-divergence Minimization. - Dongyoung Go; Tomasz Korbak; Germán Kruszewski; Jos Rozen; Nahyeon Ryu; Marc Dymetman (ICML, 2023)

Pretraining Language Models with Human Preferences. - Tomasz Korbak; Kejian Shi; Angelica Chen; Rasika Vinayak Bhalerao; Christopher L. Buckley; Jason Phang; Samuel R. Bowman; Ethan Perez (ICML, 2023)

Improving Code Generation by Training with Natural Language Feedback. - Angelica Chen; Jérémy Scheurer; Tomasz Korbak; Jon Ander Campos; Jun Shern Chan; Samuel R. Bowman; Kyunghyun Cho; Ethan Perez (CoRR, 2023)

Training Language Models with Language Feedback at Scale. - Jérémy Scheurer; Jon Ander Campos; Tomasz Korbak; Jun Shern Chan; Angelica Chen; Kyunghyun Cho; Ethan Perez (CoRR, 2023)

Taken out of context: On measuring situational awareness in LLMs. - Lukas Berglund; Asa Cooper Stickland; Mikita Balesni; Maximilian Kaufmann; Meg Tong; Tomasz Korbak; Daniel Kokotajlo; Owain Evans (CoRR, 2023)

Towards Understanding Sycophancy in Language Models. - Mrinank Sharma; Meg Tong; Tomasz Korbak; David Duvenaud; Amanda Askell; Samuel R. Bowman; Newton Cheng; Esin Durmus; Zac Hatfield-Dodds; Scott R. Johnston; Shauna Kravec; Timothy Maxwell; et al. (CoRR, 2023)

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. - Stephen Casper; Xander Davies; Claudia Shi; Thomas Krendl Gilbert; Jérémy Scheurer; Javier Rando; Rachel Freedman; Tomasz Korbak; David Lindner; Pedro Freire; Tony Tong Wang; Samuel Marks; et al. (Trans. Mach. Learn. Res., 2023)

Inverse Scaling: When Bigger Isn't Better. - Ian R. McKenzie; Alexander Lyzhov; Michael Pieler; Alicia Parrish; Aaron Mueller; Ameya Prabhu; Euan McLean; Aaron Kirtland; Alexis Ross; Alisa Liu; Andrew Gritsevskiy; Daniel Wurgaft; et al. (Trans. Mach. Learn. Res., 2023)

Self-organisation, (M, R)-systems and enactive cognitive science. - Tomasz Korbak (Adapt. Behav., 2023)

The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A". - Lukas Berglund; Meg Tong; Maximilian Kaufmann; Mikita Balesni; Asa Cooper Stickland; Tomasz Korbak; Owain Evans (ICLR, 2024)

Compositional Preference Models for Aligning LMs. - Dongyoung Go; Tomasz Korbak; Germán Kruszewski; Jos Rozen; Marc Dymetman (ICLR, 2024)

Towards Understanding Sycophancy in Language Models. - Mrinank Sharma; Meg Tong; Tomasz Korbak; David Duvenaud; Amanda Askell; Samuel R. Bowman; Esin Durmus; Zac Hatfield-Dodds; Scott R. Johnston; Shauna Kravec; Timothy Maxwell; Sam McCandlish; et al. (ICLR, 2024)

Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data. - Matthias Gerstgrasser; Rylan Schaeffer; Apratim Dey; Rafael Rafailov; Henry Sleight; John Hughes; Tomasz Korbak; Rajashree Agrawal; Dhruv Pai; Andrey Gromov; Daniel A. Roberts; Diyi Yang; et al. (CoRR, 2024)

Foundational Challenges in Assuring Alignment and Safety of Large Language Models. - Usman Anwar; Abulhair Saparov; Javier Rando; Daniel Paleka; Miles Turpin; Peter Hase; Ekdeep Singh Lubana; Erik Jenner; Stephen Casper; Oliver Sourbut; Benjamin L. Edelman; Zhaowei Zhang; et al. (CoRR, 2024)

Aligning language models with human preferences. - Tomasz Korbak (CoRR, 2024)

Looking Inward: Language Models Can Learn About Themselves by Introspection. - Felix J. Binder; James Chua; Tomasz Korbak; Henry Sleight; John Hughes; Robert Long; Ethan Perez; Miles Turpin; Owain Evans (CoRR, 2024)

The Two-Hop Curse: LLMs trained on A->B, B->C fail to learn A->C. - Mikita Balesni; Tomasz Korbak; Owain Evans (CoRR, 2024)

Foundational Challenges in Assuring Alignment and Safety of Large Language Models. - Usman Anwar; Abulhair Saparov; Javier Rando; Daniel Paleka; Miles Turpin; Peter Hase; Ekdeep Singh Lubana; Erik Jenner; Stephen Casper; Oliver Sourbut; Benjamin L. Edelman; Zhaowei Zhang; et al. (Trans. Mach. Learn. Res., 2024)

Learning from Natural Language Feedback. - Angelica Chen; Jérémy Scheurer; Jon Ander Campos; Tomasz Korbak; Jun Shern Chan; Samuel R. Bowman; Kyunghyun Cho; Ethan Perez (Trans. Mach. Learn. Res., 2024)

Models of symbol emergence in communication: a conceptual review and a guide for avoiding local minima. - Julian Zubek; Tomasz Korbak; Joanna Raczaszek-Leonardi (Artif. Intell. Rev., 2025)