feature engineering 1large language models 1learning to optimize 1optimization solvers 1program synthesis 1
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cs.CL2025
Iterative Deepening Sampling as Efficient Test-Time Scaling
Weizhe Chen, Sven Koenig, Bistra Dilkina
Recent reasoning models, such as OpenAI's O1 series, have demonstrated exceptional performance on complex reasoning tasks and revealed new test-time scaling laws. Inspired by this,…
cs.CL2025
RePrompt: Planning by Automatic Prompt Engineering for Large Language Models Agents
Weizhe Chen, Sven Koenig, Bistra Dilkina
In the past year, large language models (LLMs) have had remarkable success in domains outside the traditional natural language processing, and their capacity is further expanded in…