A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

ABSTRACT: This paper presents a new dimension reduction strategy for medium and large-scale linear programming problems. The proposed method uses a subset of the original constraints and combines two ...

A study supported by the National Science Foundation yielded a novel method to significantly reduce the energy needed to control the temperature of photonic chips, a critical component of ...

Herpes Simplex Virus (HSV) type 1 (HSV-1) and type 2 (HSV-2) are among the most common human viral pathogens, affecting several billion people worldwide. Although in healthy patients clinical signs ...

Abstract: Inverse problem requiring repeated forward computation is a hard ill-posed problem. Traditional linear inversion methods like Newton method and Newton-like methods may not be optimal ...

This code is structured as a standalone tool to use as a solver for DIMACS minimum cost flow problem files. Solution is then given as a DIMACS minimum cost flow solution file optionally with flow ...

Abstract: We describe a distributed framework for resource sharing problems that arise in communications, micro-economics, and various networking applications. In particular, we consider a ...

Performance management is the process a business uses to assess its employees and to determine the efficiency of its activities in achieving its objectives. Performance management tasks include ...