Dhruv Parikh — accepted AI-conference papers

2026

DevEvol: Benchmarking LLM Agents on Continuous Software Evolution

Gangda Deng, Zhaoling Chen, Zhongming Yu, Haoyang Fan, Yuhong Liu, Yuxin Yang +8

ICML 2026poster

Large Language Model (LLM) agents have demonstrated remarkable proficiency in solving isolated software engineering tasks. However, existing benchmarks predominantly evaluate static, independent issues, failing to reflect the continuous and sequentially dependent nature of real-world software evolut…

Cited by 0 Source ↗Scholar ↗

2025

Vision Transformers for End-to-End Vision-Based Quadrotor Obstacle Avoidance

Anish Bhattacharya, Nishanth Rao, Dhruv Parikh, Pratik Kunapuli, Yuwei Wu, Yuezhan Tao +2

ICRA 2025

We demonstrate the capabilities of an attentionbased end-to-end approach for high-speed vision-based quadrotor obstacle avoidance in dense, cluttered environments, with comparison to various state-of-the-art learning architectures. Quadrotor unmanned aerial vehicles (UAVs) have tremendous maneuverab

Cited by 22 Source ↗Scholar ↗