VehicleChain: Blockchain-based Vehicular Data Transmission Scheme for Smart City. - Arkil Patel; Naigam Shah; Trupil Limbasiya; Debasis Das 001 (SMC, 2019)

On the Computational Power of Transformers and Its Implications in Sequence Modeling. - Satwik Bhattamishra; Arkil Patel; Navin Goyal (CoNLL, 2020)

Are NLP Models really able to Solve Simple Math Word Problems? - Arkil Patel; Satwik Bhattamishra; Navin Goyal (NAACL-HLT, 2021)

Revisiting the Compositional Generalization Abilities of Neural Sequence Models. - Arkil Patel; Satwik Bhattamishra; Phil Blunsom; Navin Goyal (ACL (2), 2022)

When Can Transformers Ground and Compose: Insights from Compositional Generalization Benchmarks. - Ankur Sikarwar; Arkil Patel; Navin Goyal (EMNLP, 2022)

Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions. - Satwik Bhattamishra; Arkil Patel; Varun Kanade; Phil Blunsom (ACL (1), 2023)

MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations. - Arkil Patel; Satwik Bhattamishra; Siva Reddy; Dzmitry Bahdanau (EMNLP, 2023)

Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions. - Satwik Bhattamishra; Arkil Patel; Phil Blunsom; Varun Kanade (ICLR, 2024)

Evaluating In-Context Learning of Libraries for Code Generation. - Arkil Patel; Siva Reddy; Dzmitry Bahdanau; Pradeep Dasigi (NAACL-HLT, 2024)

Universal Adversarial Triggers Are Not Universal. - Nicholas Meade; Arkil Patel; Siva Reddy (CoRR, 2024)

How to Get Your LLM to Generate Challenging Problems for Evaluation. - Arkil Patel; Siva Reddy; Dzmitry Bahdanau (CoRR, 2025)

SafeArena: Evaluating the Safety of Autonomous Web Agents. - Ada Defne Tur; Nicholas Meade; Xing Han Lù; Alejandra Zambrano; Arkil Patel; Esin Durmus; Spandana Gella; Karolina Stanczak; Siva Reddy (CoRR, 2025)

DeepSeek-R1 Thoughtology: Let's about LLM Reasoning. - Sara Vera Marjanovic; Arkil Patel; Vaibhav Adlakha; Milad Aghajohari; Parishad BehnamGhader; Mehar Bhatia; Aditi Khandelwal; Austin Kraft; Benno Krojer; Xing Han Lù; Nicholas Meade; Dongchan Shin; et al. (CoRR, 2025)

AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories. - Xing Han Lù; Amirhossein Kazemnejad; Nicholas Meade; Arkil Patel; Dongchan Shin; Alejandra Zambrano; Karolina Stanczak; Peter Shaw 004; Christopher J. Pal; Siva Reddy (CoRR, 2025)