Tomasz Korbak - RankMe

42 papers A* 8B 1Journal 31Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Models of symbol emergence in communication: a conceptual review and a guide for avoiding local minima. Artif. Intell. Rev. Julian Zubek, Tomasz Korbak, Joanna Raczaszek-Leonardi
2024	J	`jnl`	Aligning language models with human preferences. CoRR Tomasz Korbak
2024	A*	`conf`	Compositional Preference Models for Aligning LMs. ICLR Dongyoung Go, Tomasz Korbak, Germán Kruszewski, Jos Rozen, Marc Dymetman
2024	J	`jnl`	Foundational Challenges in Assuring Alignment and Safety of Large Language Models. CoRR 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, Mario Günther, Anton Korinek, José Hernández-Orallo, Lewis Hammond, Eric J. Bigelow, Alexander Pan, Lauro Langosco, Tomasz Korbak, Heidi C. Zhang, Ruiqi Zhong, Seán Ó hÉigeartaigh, Gabriel Recchia, Giulio Corsi, Alan Chan, Markus Anderljung, Lilian Edwards, Yoshua Bengio, Danqi Chen, Samuel Albanie, Tegan Maharaj, Jakob N. Foerster, Florian Tramèr, He He, Atoosa Kasirzadeh, Yejin Choi, David Krueger
2024	J	`jnl`	Foundational Challenges in Assuring Alignment and Safety of Large Language Models. Trans. Mach. Learn. Res. 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, Mario Günther, Anton Korinek, José Hernández-Orallo, Lewis Hammond, Eric J. Bigelow, Alexander Pan, Lauro Langosco, Tomasz Korbak, Heidi Chenyu Zhang, Ruiqi Zhong, Seán Ó hÉigeartaigh, Gabriel Recchia, Giulio Corsi, Alan Chan, Markus Anderljung, Lilian Edwards, Aleksandar Petrov, Christian Schröder de Witt, Sumeet Ramesh Motwani, Yoshua Bengio, Danqi Chen, Philip Torr, Samuel Albanie, Tegan Maharaj, Jakob Nicolaus Foerster, Florian Tramèr, He He, Atoosa Kasirzadeh, Yejin Choi, David Krueger
2024	J	`jnl`	Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data. CoRR 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, David L. Donoho, Sanmi Koyejo
2024	J	`jnl`	Learning from Natural Language Feedback. Trans. Mach. Learn. Res. Angelica Chen, Jérémy Scheurer, Jon Ander Campos, Tomasz Korbak, Jun Shern Chan, Samuel R. Bowman, Kyunghyun Cho, Ethan Perez
2024	J	`jnl`	Looking Inward: Language Models Can Learn About Themselves by Introspection. CoRR Felix J. Binder, James Chua, Tomasz Korbak, Henry Sleight, John Hughes, Robert Long, Ethan Perez, Miles Turpin, Owain Evans
2024	A*	`conf`	The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A". ICLR Lukas Berglund, Meg Tong, Maximilian Kaufmann, Mikita Balesni, Asa Cooper Stickland, Tomasz Korbak, Owain Evans
2024	J	`jnl`	The Two-Hop Curse: LLMs trained on A->B, B->C fail to learn A->C. CoRR Mikita Balesni, Tomasz Korbak, Owain Evans
2024	A*	`conf`	Towards Understanding Sycophancy in Language Models. ICLR 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, Kamal Ndousse, Oliver Rausch, Nicholas Schiefer, Da Yan, Miranda Zhang, Ethan Perez
2023	A*	`conf`	Aligning Language Models with Preferences through f-divergence Minimization. ICML Dongyoung Go, Tomasz Korbak, Germán Kruszewski, Jos Rozen, Nahyeon Ryu, Marc Dymetman
2023	J	`jnl`	Aligning Language Models with Preferences through f-divergence Minimization. CoRR Dongyoung Go, Tomasz Korbak, Germán Kruszewski, Jos Rozen, Nahyeon Ryu, Marc Dymetman
2023	J	`jnl`	Compositional preference models for aligning LMs. CoRR Dongyoung Go, Tomasz Korbak, Germán Kruszewski, Jos Rozen, Marc Dymetman
2023	J	`jnl`	Improving Code Generation by Training with Natural Language Feedback. CoRR Angelica Chen, Jérémy Scheurer, Tomasz Korbak, Jon Ander Campos, Jun Shern Chan, Samuel R. Bowman, Kyunghyun Cho, Ethan Perez
2023	J	`jnl`	Inverse Scaling: When Bigger Isn't Better. CoRR 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, Derik Kauffman, Gabriel Recchia, Jiacheng Liu, Joe Cavanagh, Max Weiss, Sicong Huang, The Floating Droid, Tom Tseng, Tomasz Korbak, Xudong Shen, Yuhui Zhang, Zhengping Zhou, Najoung Kim, Samuel R. Bowman, Ethan Perez
2023	J	`jnl`	Inverse Scaling: When Bigger Isn't Better. Trans. Mach. Learn. Res. 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, Derik Kauffman, Gabriel Recchia, Jiacheng Liu, Joe Cavanagh, Max Weiss, Sicong Huang, The Floating Droid, Tom Tseng, Tomasz Korbak, Xudong Shen, Yuhui Zhang, Zhengping Zhou, Najoung Kim, Samuel R. Bowman, Ethan Perez
2023	J	`jnl`	Models of symbol emergence in communication: a conceptual review and a guide for avoiding local minima. CoRR Julian Zubek, Tomasz Korbak, Joanna Raczaszek-Leonardi
2023	J	`jnl`	Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. CoRR 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, Charbel-Raphaël Ségerie, Micah Carroll, Andi Peng, Phillip J. K. Christoffersen, Mehul Damani, Stewart Slocum, Usman Anwar, Anand Siththaranjan, Max Nadeau, Eric J. Michaud, Jacob Pfau, Dmitrii Krasheninnikov, Xin Chen, Lauro Langosco, Peter Hase, Erdem Biyik, Anca D. Dragan, David Krueger, Dorsa Sadigh, Dylan Hadfield-Menell
2023	J	`jnl`	Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. Trans. Mach. Learn. Res. 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, Charbel-Raphaël Ségerie, Micah Carroll, Andi Peng, Phillip J. K. Christoffersen, Mehul Damani, Stewart Slocum, Usman Anwar, Anand Siththaranjan, Max Nadeau, Eric J. Michaud, Jacob Pfau, Dmitrii Krasheninnikov, Xin Chen, Lauro Langosco, Peter Hase, Erdem Biyik, Anca D. Dragan, David Krueger, Dorsa Sadigh, Dylan Hadfield-Menell
2023	A*	`conf`	Pretraining Language Models with Human Preferences. ICML Tomasz Korbak, Kejian Shi, Angelica Chen, Rasika Vinayak Bhalerao, Christopher L. Buckley, Jason Phang, Samuel R. Bowman, Ethan Perez
2023	J	`jnl`	Pretraining Language Models with Human Preferences. CoRR Tomasz Korbak, Kejian Shi, Angelica Chen, Rasika Bhalerao, Christopher L. Buckley, Jason Phang, Samuel R. Bowman, Ethan Perez
2023	J	`jnl`	Self-organisation, (M, R)-systems and enactive cognitive science. Adapt. Behav. Tomasz Korbak
2023	J	`jnl`	Taken out of context: On measuring situational awareness in LLMs. CoRR Lukas Berglund, Asa Cooper Stickland, Mikita Balesni, Maximilian Kaufmann, Meg Tong, Tomasz Korbak, Daniel Kokotajlo, Owain Evans
2023	J	`jnl`	The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A". CoRR Lukas Berglund, Meg Tong, Maximilian Kaufmann, Mikita Balesni, Asa Cooper Stickland, Tomasz Korbak, Owain Evans
2023	J	`jnl`	Towards Understanding Sycophancy in Language Models. CoRR 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, Sam McCandlish, Kamal Ndousse, Oliver Rausch, Nicholas Schiefer, Da Yan, Miranda Zhang, Ethan Perez
2023	J	`jnl`	Training Language Models with Language Feedback at Scale. CoRR Jérémy Scheurer, Jon Ander Campos, Tomasz Korbak, Jun Shern Chan, Angelica Chen, Kyunghyun Cho, Ethan Perez
2022	A*	`conf`	Controlling Conditional Language Models without Catastrophic Forgetting. ICML Tomasz Korbak, Hady Elsahar, Germán Kruszewski, Marc Dymetman
2022	A*	`conf`	On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting. NeurIPS Tomasz Korbak, Hady Elsahar, Germán Kruszewski, Marc Dymetman
2022	J	`jnl`	On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting. CoRR Tomasz Korbak, Hady Elsahar, Germán Kruszewski, Marc Dymetman
2022	—	`conf`	RL with KL penalties is better viewed as Bayesian inference. EMNLP (Findings) Tomasz Korbak, Ethan Perez, Christopher L. Buckley
2022	J	`jnl`	RL with KL penalties is better viewed as Bayesian inference. CoRR Tomasz Korbak, Ethan Perez, Christopher L. Buckley
2021	A*	`conf`	Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication. NeurIPS Lukasz Kucinski, Tomasz Korbak, Pawel Kolodziej, Piotr Milos
2021	J	`jnl`	Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication. CoRR Lukasz Kucinski, Tomasz Korbak, Pawel Kolodziej, Piotr Milos
2021	J	`jnl`	Controlling Conditional Language Models with Distributional Policy Gradients. CoRR Tomasz Korbak, Hady Elsahar, Germán Kruszewski, Marc Dymetman
2021	J	`jnl`	Energy-Based Models for Code Generation under Compilability Constraints. CoRR Tomasz Korbak, Hady Elsahar, Marc Dymetman, Germán Kruszewski
2020	J	`jnl`	Measuring non-trivial compositionality in emergent communication. CoRR Tomasz Korbak, Julian Zubek, Joanna Raczaszek-Leonardi
2020	B	`conf`	The Emergence of Action-grounded Compositional Communication. CogSci Krzysztof Glówka, Michal Niklewski, Joanna Wiszowata, Tomasz Korbak, Joanna Raczaszek-Leonardi, Julian Zubek
2019	J	`jnl`	Developmentally motivated emergence of compositional communication via template transfer. CoRR Tomasz Korbak, Julian Zubek, Lukasz Kucinski, Piotr Milos, Joanna Raczaszek-Leonardi
2019	J	`jnl`	Exploiting Unsupervised Pre-training and Automated Feature Engineering for Low-resource Hate Speech Detection in Polish. CoRR Renard Korzeniowski, Rafal Rolczynski, Przemyslaw Sadownik, Tomasz Korbak, Marcin Mozejko
2017	—	`conf`	Fine-Tuning Tree-LSTM for Phrase-Level Sentiment Classification on a Polish Dependency Treebank. LCT Tomasz Korbak, Paulina Zak
2017	J	`jnl`	Fine-tuning Tree-LSTM for phrase-level sentiment classification on a Polish dependency treebank. Submission to PolEval task 2. CoRR Tomasz Korbak, Paulina Zak