Tim Franzmeyer

21 papers A* 7A 1Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	High Accuracy, Less Talk (HALT): Reliable LLMs through Capability-Aligned Finetuning. CoRR Tim Franzmeyer, Archie Sravankumar, Lijuan Liu, Yuning Mao, Rui Hou, Sinong Wang, Jakob N. Foerster, Luke Zettlemoyer, Madian Khabsa
2025	A*	`conf`	Reinforcement Learning for Quantum Control under Physical Constraints. ICML Jan Ole Ernst, Aniket Chatterjee, Tim Franzmeyer, Axel Kuhn
2025	J	`jnl`	Select2Plan: Training-Free ICL-Based Planning Through VQA and Memory Retrieval. IEEE Robotics Autom. Lett. Davide Buoso, Luke Robinson, Giuseppe Averta, Philip Torr, Tim Franzmeyer, Daniele De Martini
2025	A*	`conf`	TuCo: Measuring the Contribution of Fine-Tuning to Individual Responses of LLMs. ICML Felipe Pinto Coelho Nuti, Tim Franzmeyer, João F. Henriques
2025	J	`jnl`	TuCo: Measuring the Contribution of Fine-Tuning to Individual Responses of LLMs. CoRR Felipe Nuti, Tim Franzmeyer, João F. Henriques
2024	J	`jnl`	HelloFresh: LLM Evaluations on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits. CoRR Tim Franzmeyer, Aleksandar Shtedritski, Samuel Albanie, Philip Torr, João F. Henriques, Jakob N. Foerster
2024	—	`conf`	HelloFresh: LLM Evalutions on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits. ACL (Findings) Tim Franzmeyer, Aleksandar Shtedritski, Samuel Albanie, Philip Torr, João F. Henriques, Jakob N. Foerster
2024	A*	`conf`	Illusory Attacks: Information-theoretic detectability matters in adversarial attacks. ICLR Tim Franzmeyer, Stephen Marcus McAleer, João F. Henriques, Jakob Nicolaus Foerster, Philip Torr, Adel Bibi, Christian Schröder de Witt
2024	A	`conf`	Rethinking Out-of-Distribution Detection for Reinforcement Learning: Advancing Methods for Evaluation and Detection. AAMAS Linas Nasvytis, Kai Sandbrink, Jakob N. Foerster, Tim Franzmeyer, Christian Schröder de Witt
2024	J	`jnl`	Rethinking Out-of-Distribution Detection for Reinforcement Learning: Advancing Methods for Evaluation and Detection. CoRR Linas Nasvytis, Kai Sandbrink, Jakob N. Foerster, Tim Franzmeyer, Christian Schröder de Witt
2024	A*	`conf`	Select to Perfect: Imitating desired behavior from large multi-agent data. ICLR Tim Franzmeyer, Edith Elkind, Philip Torr, Jakob Nicolaus Foerster, João F. Henriques
2024	J	`jnl`	Select to Perfect: Imitating desired behavior from large multi-agent data. CoRR Tim Franzmeyer, Edith Elkind, Philip Torr, Jakob N. Foerster, João F. Henriques
2024	J	`jnl`	Select2Plan: Training-Free ICL-Based Planning through VQA and Memory Retrieval. CoRR Davide Buoso, Luke Robinson, Giuseppe Averta, Philip Torr, Tim Franzmeyer, Daniele De Martini
2023	A*	`conf`	Extracting Reward Functions from Diffusion Models. NeurIPS Felipe Nuti, Tim Franzmeyer, João F. Henriques
2023	J	`jnl`	Extracting Reward Functions from Diffusion Models. CoRR Felipe Nuti, Tim Franzmeyer, João F. Henriques
2022	J	`jnl`	Illusionary Attacks on Sequential Decision Makers and Countermeasures. CoRR Tim Franzmeyer, João F. Henriques, Jakob N. Foerster, Philip H. S. Torr, Adel Bibi, Christian Schröder de Witt
2022	A*	`conf`	Learn what matters: cross-domain imitation learning with task-relevant embeddings. NeurIPS Tim Franzmeyer, Philip H. S. Torr, João F. Henriques
2022	J	`jnl`	Learn what matters: cross-domain imitation learning with task-relevant embeddings. CoRR Tim Franzmeyer, Philip H. S. Torr, João F. Henriques
2022	A*	`conf`	Learning Altruistic Behaviours in Reinforcement Learning without External Rewards. ICLR Tim Franzmeyer, Mateusz Malinowski, João F. Henriques
2022	J	`jnl`	Scalable Biologically-Aware Skeleton Generation for Connectomic Volumes. IEEE Trans. Medical Imaging Brian Matejek, Tim Franzmeyer, Donglai Wei, Xueying Wang, Jinglin Zhao, Kálmán Palágyi, Jeff W. Lichtman, Hanspeter Pfister
2021	J	`jnl`	Learning Altruistic Behaviours in Reinforcement Learning without External Rewards. CoRR Tim Franzmeyer, Mateusz Malinowski, João F. Henriques