Among the many burning questions about Netflix’s potential acquisition of Warner Bros. is: What would happen to HBO Max?

OpenAI and Google DeepMind demonstrated that their foundation models could outperform human coders — and win — showing that large language models (LLMs) can solve complex, previously unsolved ...

@article{tang2024, title={PyEPO: a PyTorch-based end-to-end predict-then-optimize library for linear and integer programming}, author={Tang, Bo and Khalil, Elias B ...

Abstract: Symbolic regression (SR) is an important problem with many applications, such as automatic programming tasks and data mining. Genetic programming (GP) is a commonly used technique for SR. In ...

Can you chip in? This year we’ve reached an extraordinary milestone: 1 trillion web pages preserved on the Wayback Machine. This makes us the largest public repository of internet history ever ...

Mixed Integer Linear Programming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and requires expert formulation. Current deep ...

Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...

A Northwestern competitive programming team won seventh place in the 2024 International Collegiate Programming Contest (ICPC) Mid-Central USA Regional Contest, held last month at the University of ...

Linear Programming for Rust, with a user-friendly API. This crate allows modeling LP problems, and lets you solve them with various solvers.

A recent study conducted by computer scientists at Purdue University has highlighted concerns regarding the accuracy of responses provided by OpenAI's chatbot ChatGPT to computer programming questions ...