The Goldilocks of Pragmatic Understanding: Fine-tuning Strategy Matters for Implicature Resolution by LLMs L Ruis, A Khan, S Biderman, S Hooker, T Rocktäschel, E Grefenstette NeurIPS (Oral), 2024 | 55* | 2024 |
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX A Rutherford, B Ellis, M Gallici, J Cook, A Lupu, G Ingvarsson, T Willi, ... AAMAS, 2444-2446, 2024 | 23* | 2024 |
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning M Samvelyan, A Khan, M Dennis, M Jiang, J Parker-Holder, J Foerster, ... ICLR, 2023 | 23 | 2023 |
Detecting Anomalous Application Messages in Telecommunication Networks D Shah, J Hopkins, A Khan, J Lakha US Patent App. 16/647,166, 2021 | 20 | 2021 |
Debating with More Persuasive LLMs Leads to More Truthful Answers A Khan, J Hughes, D Valentine, L Ruis, K Sachan, A Radhakrishnan, ... ICML (Best Paper), 2024 | 18 | 2024 |
Considering Racial Bias as a Problem of Transfer Learning A Khan, M Mahmoud 2019 IEEE Winter Applications of Computer Vision Workshops (WACVW), 100-106, 2019 | 14 | 2019 |
Chatarena: Multi-Agent Language Game Environments for Large Language Models Y Wu, Z Jiang, A Khan, Y Fu, L Ruis, E Grefenstette, T Rocktäschel GitHub repository, 2023 | 9 | 2023 |
Scaling Opponent Shaping to High Dimensional Games A Khan, T Willi, N Kwan, A Tacchetti, C Lu, E Grefenstette, T Rocktäschel, ... AAMAS 23, 2023 | 4 | 2023 |
Leading the Pack: N-player Opponent Shaping A Souly, T Willi, A Khan, R Kirk, C Lu, E Grefenstette, T Rocktäschel Multi-Agent Security Workshop NeurIPS'23, 2023 | 1 | 2023 |