| 2025 | ICML | SafeArena: Evaluating the Safety of Autonomous Web Agents. | Ada Defne Tur, Nicholas Meade, Xing Han L, Alejandra Zambrano, Arkil Patel, Esin Durmus, Spandana Gella, Karolina Stanczak, Siva Reddy |
| 2024 | ICLR | Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions. | Satwik Bhattamishra, Arkil Patel, Phil Blunsom, Varun Kanade |
| 2024 | NAACL | Evaluating In-Context Learning of Libraries for Code Generation. | Arkil Patel, Siva Reddy, Dzmitry Bahdanau, Pradeep Dasigi |
| 2023 | ACL | Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions. | Satwik Bhattamishra, Arkil Patel, Varun Kanade, Phil Blunsom |
| 2023 | EMNLP | MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations. | Arkil Patel, Satwik Bhattamishra, Siva Reddy, Dzmitry Bahdanau |
| 2022 | ACL | Revisiting the Compositional Generalization Abilities of Neural Sequence Models. | Arkil Patel, Satwik Bhattamishra, Phil Blunsom, Navin Goyal |
| 2022 | EMNLP | When Can Transformers Ground and Compose: Insights from Compositional Generalization Benchmarks. | Ankur Sikarwar, Arkil Patel, Navin Goyal |
| 2021 | NAACL | Are NLP Models really able to Solve Simple Math Word Problems? | Arkil Patel, Satwik Bhattamishra, Navin Goyal |
| 2020 | CoNLL | On the Computational Power of Transformers and Its Implications in Sequence Modeling. | Satwik Bhattamishra, Arkil Patel, Navin Goyal |
| 2019 | SMC | VehicleChain: Blockchain-based Vehicular Data Transmission Scheme for Smart City. | Arkil Patel, Naigam Shah, Trupil Limbasiya, Debasis Das |