Search Results
CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Evaluations on HumanEval-X
Large pre-trained code generation models, such as OpenAI Codex, can generate syntax- and function-correct code, making the coding of programmers more productive and our pursuit of artificial general intelligence closer.
Ranked #80 on
Code Generation
on MBPP
LLM as OS, Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystem
We envision that LLM's impact will not be limited to the AI application level, instead, it will in turn revolutionize the design and implementation of computer system, architecture, software, and programming language, featured by several main concepts: LLM as OS (system-level), Agents as Applications (application-level), Natural Language as Programming Interface (user-level), and Tools as Devices/Libraries (hardware/middleware-level).
Contextual Word Representations: A Contextual Introduction
This introduction aims to tell the story of how we put words into computers.
Dice: Compiling Discrete Probabilistic Programs for Scalable Inference
This reduction separates the structure of the distribution from its parameters, enabling logical reasoning tools to exploit that structure for probabilistic inference.
Programming Languages
Bridging Machine Learning and Logical Reasoning by Abductive Learning
In the area of artificial intelligence (AI), the two abilities are usually realised by machine learning and logic programming, respectively.
An Introduction to Probabilistic Programming
We start with a discussion of model-based reasoning and explain why conditioning is a foundational computation central to the fields of probabilistic machine learning and artificial intelligence.
Natural Language Processing Models That Automate Programming Will Transform Chemistry Research and Teaching
Natural language processing models have emerged that can generate usable software and automate a number of programming tasks with high fidelity.
Statistical Mechanics Chemical Physics
EvoX: A Distributed GPU-accelerated Framework for Scalable Evolutionary Computation
Inspired by natural evolutionary processes, Evolutionary Computation (EC) has established itself as a cornerstone of Artificial Intelligence.
Exploration of Artificial Intelligence-oriented Power System Dynamic Simulators
With the rapid development of artificial intelligence (AI), it is foreseeable that the accuracy and efficiency of dynamic analysis for future power system will be greatly improved by the integration of dynamic simulators and AI.
Spyx: A Library for Just-In-Time Compiled Optimization of Spiking Neural Networks
As the role of artificial intelligence becomes increasingly pivotal in modern society, the efficient training and deployment of deep neural networks have emerged as critical areas of focus.
