Let's take a first look at OpenAI's new o4 model and the codex CLI programming tool. Let's compare it to other AI programming tools like GitHub Copilot, Claude Code, and Firebase Studio... Leavitt ...
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Numerical performance of HPR-LP and cuPDLP.jl on 18 LP relaxations (>10M nonzeros in $A$) from MIPLIB 2017 without Gurobi's presolve. Time limit 18000 seconds. Before ...
Montgomery County Public Schools (MCPS) is leaning toward implementing a model that would create six regions of four or five high schools offering program parity among areas to increase equity, ...
Use of linear programming models has grown so extensively in recent years that the whole concept for organizing a computer code has undergone a radical change. It no longer is adequate merely to ...
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now It is tough to remove bias, and in some ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. There is a need for design strategies that can support rapid and widespread deployment ...
Abstract: Existing linearized section location methods for distribution networks are only applicable to single faults. In response, this paper proposes a linear integer programming method for section ...
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 ...
Ruler a novel, model-agnostic approach employs Meta Length Tokens (MLTs) to enhance the instruction-following ability of LLMs under length-constrained instructions First, you should set up a python ...