Nl-augmenter: A framework for task-sensitive natural language augmentation KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ... arXiv preprint arXiv:2112.02721, 2021 | 81* | 2021 |
Co-evolution of language and agents in referential games G Dagan, D Hupkes, E Bruni EACL 2021, 2993–3004, 2021 | 37 | 2021 |
Location Attention for Extrapolation to Longer Sequences Y Dubois, G Dagan, D Hupkes, E Bruni arXiv preprint arXiv:1911.03872, 2019 | 32 | 2019 |
Dynamic planning with a llm G Dagan, F Keller, A Lascarides arXiv preprint arXiv:2308.06391, 2023 | 20 | 2023 |
Communicative Efficiency or Iconic Learning: Do acquisition and communicative pressures interact to shape colour-naming systems? B Gyevnar, G Dagan, C Haley, S Guo, F Mollica Entropy 24 (11), 1542, 2022 | 4 | 2022 |
Learning the effects of physical actions in a multi-modal environment G Dagan, F Keller, A Lascarides arXiv preprint arXiv:2301.11845, 2023 | 3 | 2023 |
Adding object detection skills to visual dialogue agents G Bani, D Belli, G Dagan, A Geenen, A Skliar, A Venkatesh, ... Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 3 | 2018 |
Getting the most out of your tokenizer for pre-training and domain adaptation G Dagan, G Synnaeve, B Rozière arXiv preprint arXiv:2402.01035, 2024 | 2 | 2024 |
Improving sample efficiency with expert communication M Mul, T Unger, G Dagan, B Keresztury, E Bruni | | |