| A corpus for reasoning about natural language grounded in photographs A Suhr, S Zhou, A Zhang, I Zhang, H Bai, Y Artzi ACL, 2019 | 489 | 2019 |
| Touchdown: Natural language navigation and spatial reasoning in visual street environments H Chen, A Suhr, D Misra, N Snavely, Y Artzi CVPR, 2019 | 343 | 2019 |
| A corpus of natural language for visual reasoning A Suhr, M Lewis, J Yeh, Y Artzi ACL, 217-223, 2017 | 253 | 2017 |
| Learning to map context-dependent sentences to executable formal queries A Suhr, S Iyer, Y Artzi NAACL 1, 2238--2249, 2018 | 106 | 2018 |
| Executing instructions in situated collaborative interactions A Suhr, C Yan, C Schluger, S Yu, H Khader, M Mouallem, I Zhang, Y Artzi EMNLP, 2019 | 75 | 2019 |
| Exploring unexplored generalization challenges for cross-database semantic parsing A Suhr, MW Chang, P Shaw, K Lee ACL, 8372-8388, 2020 | 73 | 2020 |
| Situated mapping of sequential instructions to actions with single-step reward observation A Suhr, Y Artzi ACL 1, 2072--2082, 2018 | 39 | 2018 |
| Do embodied agents dream of pixelated sheep?: Embodied decision making using language guided world modelling K Nottingham, P Ammanabrolu, A Suhr, Y Choi, H Hajishirzi, S Singh, ... ICML, 2023 | 36 | 2023 |
| Quantifying language models' sensitivity to spurious features in prompt design or: How I learned to start worrying about prompt formatting M Sclar, Y Choi, Y Tsvetkov, A Suhr ICLR, 2024 | 35 | 2024 |
| We're afraid language models aren't modeling ambiguity A Liu, Z Wu, J Michael, A Suhr, P West, A Koller, S Swayamdipta, ... EMNLP, 2023 | 34 | 2023 |
| Abstract visual reasoning with tangram shapes A Ji, N Kojima, N Rush, A Suhr, WK Vong, RD Hawkins, Y Artzi EMNLP, 2022 | 29 | 2022 |
| Minding language models' (lack of) theory of mind: A plug-and-play multi-character belief tracker M Sclar, S Kumar, P West, A Suhr, Y Choi, Y Tsvetkov ACL, 2023 | 23 | 2023 |
| Fine-grained human feedback gives better rewards for language model training Z Wu, Y Hu, W Shi, N Dziri, A Suhr, P Ammanabrolu, NA Smith, ... NeurIPS, 2023 | 20 | 2023 |
| Neural semantic parsing M Gardner, P Dasigi, S Iyer, A Suhr, L Zettlemoyer ACL Tutorials, 17-18, 2018 | 18 | 2018 |
| What's in my big data? Y Elazar, A Bhagia, I Magnusson, A Ravichander, D Schwenk, A Suhr, ... ICLR, 2024 | 16 | 2024 |
| Continual learning for grounded instruction generation by observing human following behavior N Kojima, A Suhr, Y Artzi TACL, 2021 | 16 | 2021 |
| Continual learning for instruction following from realtime feedback A Suhr, Y Artzi NeurIPS, 2023 | 11 | 2023 |
| NLVR2 visual bias analysis A Suhr, Y Artzi arXiv preprint arXiv:1909.10411, 2019 | 11 | 2019 |
| Analysis of language change in collaborative instruction following A Effenberger, E Yan, R Singh, A Suhr, Y Artzi Findings of EMNLP, 2021 | 9 | 2021 |
| Crowdsourcing beyond annotation: Case studies in benchmark data collection A Suhr, C Vania, N Nangia, M Sap, M Yatskar, S Bowman, Y Artzi EMNLP Tutorials, 1-6, 2021 | 8 | 2021 |
Yoav ArtziCornell University; ASAPPcs.cornell.edu의 이메일 확인됨
