Seeker, Volker
- Large Language Models for Compiler Optimization
2023/09/11 by Chris Cummins, Cummins, Chris, Volker Seeker +20 · 2 voices · 16 citations
Computer Science · #Parallel Computing and Optimization Techniques #Software Engineering Research #Software Testing and Debugging Techniques #cs.AI #cs.CL #cs.LG #cs.PL
- Meta Large Language Model Compiler: Foundation Models of Compiler Optimization
2024/06/27 by Chris Cummins, Cummins, Chris, Volker Seeker +11 · 15 citations
Computer Science · #Distributed and Parallel Computing Systems #Model-Driven Software Engineering Techniques #Parallel Computing and Optimization Techniques
- Compiler generated feedback for Large Language Models
2024/03/18 by Grubisic, Dejan, Cummins, Chris, Seeker, Volker +1 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #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 · 12 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)
- Don't Transform the Code, Code the Transforms: Towards Precise Code Rewriting using LLMs
2024/10/11 by Chris Cummins, Volker Seeker, Cummins, Chris +9 · 2 citations
Computer Science · Social Sciences · #Artificial Intelligence in Law #Digital Rights Management and Security #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Priority Sampling of Large Language Models for Compilers
2024/02/28 by Grubisic, Dejan, Cummins, Chris, Seeker, Volker +1 · 1 citation
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Performance (cs.PF)