1 citations · 2 across the 6 of their papers we have counts for
7 papers
MobileDev-Bench: A Benchmark for Issue Resolution in Mobile Application Development
Moshood A. Fakorede, Krishna Upadhyay, A. B. Siddique +1
Large language models (LLMs) have shown strong performance on automated software engineering tasks, yet existing benchmarks focus primarily on library-style repositories, leaving m…
A Large-Scale Study on the Development and Issues of Multi-Agent AI Systems
Daniel Liu, Krishna Upadhyay, Vinaik Chhetri +2
The rapid emergence of multi-agent AI systems (MAS), including LangChain, CrewAI, and AutoGen, has shaped how large language model (LLM) applications are developed and orchestrated…
Multi-Granular Node Pruning for Causal Circuit Discovery
Muhammad Umair Haider, Hammad Rizwan, Hassan Sajjad +1
Circuit discovery aims to identify minimal subnetworks that are responsible for specific behaviors in large language models (LLMs). Existing approaches primarily rely on iterative…
What Users Value and Critique: Large-Scale Analysis of User Feedback on AI-Powered Mobile Apps
Vinaik Chhetri, Krishna Upadhyay, A. B. Siddique +1
Artificial Intelligence (AI)-powered features have rapidly proliferated across mobile apps in various domains, including productivity, education, entertainment, and creativity. How…
Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution
Muhammad Umair Haider, Hammad Rizwan, Hassan Sajjad +2
Pervasive polysemanticity in large language models (LLMs) undermines discrete neuron-concept attribution, posing a significant challenge for model interpretation and control. We sy…
Analyzing the Evolution and Maintenance of Quantum Software Repositories
Krishna Upadhyay, Vinaik Chhetri, A. B. Siddique +1
Quantum computing is rapidly advancing, but quantum software development faces significant challenges, including a steep learning curve, high hardware error rates, and a lack of ma…
Looking into Black Box Code Language Models
Muhammad Umair Haider, Umar Farooq, A. B. Siddique +1
Language Models (LMs) have shown their application for tasks pertinent to code and several code~LMs have been proposed recently. The majority of the studies in this direction only…