activity
20242026
most citedAIDE: AI-Driven Exploration in the Space of Code

4 citations · 5 across the 7 of their papers we have counts for

collaborators

8 papers

cs.AI2026

Recursive self-improvement of AI research agents

Dhruv Srikanth, Bingchen Zhao, Dixing Xu +2

AI agents are beginning to automate research and development across the AI stack, from improving training efficiency to optimizing inference. A natural next step is to improve the…

cs.AI2026

AutoData: Agentic Search for Pre-training Data Selection

Yan Meng, Dhruv Srikanth, Bingchen Zhao +2

LLM agents have recently shown promise in automating machine learning engineering by editing model and training code under execution feedback. Data, however, remains largely outsid…

cs.SE2026

SpecBench: Measuring Reward Hacking in Long-Horizon Coding Agents

Bingchen Zhao, Dhruv Srikanth, Yuxiang Wu +1

As long-horizon coding agents produce more code than any developer can review, oversight collapses onto a single surface: the automated test suite. Reward hacking naturally arises…

cs.AI2025★ 4 cited

AIDE: AI-Driven Exploration in the Space of Code

Zhengyao Jiang, Dominik Schmidt, Dhruv Srikanth +4

Machine learning, the foundation of modern artificial intelligence, has driven innovations that have fundamentally transformed the world. Yet, behind advancements lies a complex an…

cs.RO2024

Bifurcation Identification for Ultrasound-driven Robotic Cannulation

Cecilia G. Morales, Dhruv Srikanth, Jack H. Good +2

In trauma and critical care settings, rapid and precise intravascular access is key to patients' survival. Our research aims at ensuring this access, even when skilled medical pers…

physics.space-ph2024★ 1 cited

Exploring the Dyson Ring: Parameters, Stability and Helical Orbit

Teerth Raval, Dhruv Srikanth

A Dyson ring is a hypothetical megastructure, that a very advanced civilization would build around a star to harness more of its energy. Satellite propagation is of high priority i…

cs.CV2024

Utilizing Adversarial Examples for Bias Mitigation and Accuracy Enhancement

Pushkar Shukla, Dhruv Srikanth, Lee Cohen +1

We propose a novel approach to mitigate biases in computer vision models by utilizing counterfactual generation and fine-tuning. While counterfactuals have been used to analyze and…

cs.HC2024

Next-Generation Teleophthalmology: AI-enabled Quality Assessment Aiding Remote Smartphone-based Consultation

Dhruv Srikanth, Jayang Gurung, N Satya Deepika +4

Blindness and other eye diseases are a global health concern, particularly in low- and middle-income countries like India. In this regard, during the COVID-19 pandemic, teleophthal…