Sahil Badyal

According to our database, Sahil Badyal authored at least 6 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Enhancing LLM Instruction Following: An Evaluation-Driven Multi-Agentic Workflow for Prompt Instructions Optimization.

Alberto Purpura, Li Wang, Sahil Badyal, Eugenio Beaufrand, Adam Faulkner

CoRR, January, 2026

Deconstructing Instruction-Following: A New Benchmark for Granular Evaluation of Large Language Model Instruction Compliance Abilities.

Alberto Purpura, Li Wang, Sahil Badyal, Eugenio Beaufrand, Adam Faulkner

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2024

Multiagent Reinforcement Learning: Rollout and Policy Iteration for POMDP With Application to Multirobot Problems.

Sushmita Bhattacharya, Siva Kailas, Sahil Badyal, Stephanie Gil, Dimitri P. Bertsekas

IEEE Trans. Robotics, 2024

2022

Unsupervised Data Augmentation for Aspect Based Sentiment Analysis.

David Z. Chen, Adam Faulkner, Sahil Badyal

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2020

Reinforcement Learning for POMDP: Partitioned Rollout and Policy Iteration With Application to Autonomous Sequential Repair Problems.

Sushmita Bhattacharya, Sahil Badyal, Thomas Wheeler, Stephanie Gil, Dimitri P. Bertsekas

IEEE Robotics Autom. Lett., 2020

Multiagent Rollout and Policy Iteration for POMDP with Application to Multi-Robot Repair Problems.

Sushmita Bhattacharya, Siva Kailas, Sahil Badyal, Stephanie Gil, Dimitri P. Bertsekas

Proceedings of the 4th Conference on Robot Learning, 2020