2 citations · 3 across the 9 of their papers we have counts for
3 papers · 2 filters
Unlocking Model Potentials Through Adaptive Multi-Agent Scaffolding for Efficient Issue Resolution
Yang Chen, Aliya Ahmad, Yiheng Zhou +1
Resolving issues with ambiguous and incomplete descriptions, particularly concerning complex bugs, requires a sophisticated, long-horizon workflow. Agents must navigate codebases t…
SysTradeBench: An Iterative Build-Test-Patch Benchmark for Strategy-to-Code Trading Systems with Drift-Aware Diagnostics
Yuchen Cao, Hanlin Zhang, Jacky Wai Keung +2
Large language models (LLMs) are increasingly used as quantitative research copilots to translate natural-language strategy specifications into executable trading code. Yet most 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…