1 citations · 1 across the 4 of their papers we have counts for
5 papers
Online Monitoring and Corrective Steering of Programming Agents
Shuyang Liu, Saman Dehghan, Ji Young Kim +3
Fixing GitHub issues in large-scale projects is a long-horizon task, especially when a fix requires changes across multiple locations or the issue description lacks the information…
From Plan to Action: How Well Do Agents Follow the Plan?
Shuyang Liu, Saman Dehghan, Jatin Ganhotra +2
Agents are commonly instructed to follow a task-specific plan for guidance. However, it is unknown to what extent agents actually follow instructed plans. Without such an analysis,…
Process-Centric Analysis of Agentic Software Systems
Shuyang Liu, Yang Chen, Rahul Krishna +3
Agentic systems are modern software systems: they consist of orchestrated modules, expose interfaces, and are deployed in software pipelines. Unlike conventional programs, their ex…
Narrowing the Complexity Gap in the Evaluation of Large Language Models
Yang Chen, Shuyang Liu, Reyhaneh Jabbarvand
Evaluating Large Language Models (LLMs) with respect to real-world code complexity is essential. Otherwise, there is a risk of overestimating LLMs' programming abilities based on s…
Exploiting Code Symmetries for Learning Program Semantics
Kexin Pei, Weichen Li, Qirui Jin +5
This paper tackles the challenge of teaching code semantics to Large Language Models (LLMs) for program analysis by incorporating code symmetries into the model architecture. We in…