3 papers
cs.LG2025
Agentic Reinforcement Learning for Real-World Code Repair
Siyu Zhu, Anastasiya Karpovich, Albert Chen +6
We tackle the challenge of training reliable code-fixing agents in real repositories, where complex builds and shifting dependencies make evaluation unstable. We developed a verifi…
cs.CL2025
ProCut: LLM Prompt Compression via Attribution Estimation
Zhentao Xu, Fengyi Li, Albert Chen +1
In large-scale industrial LLM systems, prompt templates often expand to thousands of tokens as teams iteratively incorporate sections such as task instructions, few-shot examples,…
cs.CL2025
Text-to-SQL for Enterprise Data Analytics
Albert Chen, Manas Bundele, Gaurav Ahlawat +15
The introduction of large language models has brought rapid progress on Text-to-SQL benchmarks, but it is not yet easy to build a working enterprise solution. In this paper, we pre…