3 papers
cs.LG2026
Make Every Expansion Count: Learning to Search Efficiently in LLM Code Repair
Elad Sharony, Ido Greenberg, Jialin Song +3
Large language model (LLM) code-repair systems fix faulty programs by repeatedly generating and testing revisions. Each revision is costly, making the choice of which repair to pur…
cs.LG2026
VLM-Guided Experience Replay
Elad Sharony, Tom Jurgenson, Orr Krupnik +2
Recent advances in Large Language Models (LLMs) and Vision-Language Models (VLMs) have enabled powerful semantic and multimodal reasoning capabilities, creating new opportunities t…
cs.LG2024
Learning Multiple Initial Solutions to Optimization Problems
Elad Sharony, Heng Yang, Tong Che +3
Sequentially solving similar optimization problems under strict runtime constraints is essential for many applications, such as robot control, autonomous driving, and portfolio man…