Carbonneaux, Quentin
- RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning
2024/10/02 by Jonas Gehring, Gehring, Jonas, Kunhao Zheng +11 · 4 voices · 31 citations
Computer Science · #cs.CL #cs.AI
- SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution
2025/02/25 by Yuxiang Wei, Olivier Duchenne, Wei, Yuxiang +15 · 68 citations
Computer Science · #Software Engineering Research #Multi-Agent Systems and Negotiation
- Bounded Expectations: Resource Analysis for Probabilistic Programs
2017/11/24 by Ngo, Van Chan, Carbonneaux, Quentin, Hoffmann, Jan · 2 citations
#FOS: Computer and information sciences #Programming Languages (cs.PL)
- CWM: An Open-Weights LLM for Research on Code Generation with World Models
2025/09/30 by FAIR CodeGen team, Copet, Jade, Carbonneaux, Quentin +48 · 13 citations
#68T07 #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2.7 #Machine Learning (cs.LG) #Software Engineering (cs.SE)
- What I cannot execute, I do not understand: Training and Evaluating LLMs on Program Execution Traces
2025/02/10 by Armengol-Estapé, Jordi, Carbonneaux, Quentin, Zhang, Tianjun +8 · 3 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Programming Languages (cs.PL)