6 citations · 13 across the 11 of their papers we have counts for
3 papers · 1 filter
MANTRA: a Framework for Multi-stage Adaptive Noise TReAtment During Training
Zixiao Zhao, Fatemeh H. Fard, Jie JW Wu
The reliable application of deep learning models to software engineering tasks hinges on high-quality training data. Yet, large-scale repositories inevitably introduce noisy or mis…
GrowthHacker: Automated Off-Policy Evaluation Optimization Using Code-Modifying LLM Agents
Jie JW Wu, Ayanda Patrick Herlihy, Ahmad Saleem Mirza +2
With data-driven development now widely adopted, online A/B testing is an established method for measuring the effects of new technologies. However, deploying online experiments de…
Can Code Language Models Learn Clarification-Seeking Behaviors?
Jie JW Wu, Manav Chaudhary, Davit Abrahamyan +3
Large language models (LLMs) have demonstrated remarkable capabilities in code generation tasks. However, a gap remains between their output and the problem-solving strategies of h…