Is ChatGPT Good at Search? LLMs as Re-Ranking Agent [EMNLP 2023 Outstanding Paper Award]

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）

[EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

official implementation for ChatEL and EntGPT

Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).

计算机自学指南

The official Meta Llama 3 GitHub site

An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

Implementation of paper "Towards a Unified View of Parameter-Efficient Transfer Learning" (ICLR 2022)

Code for Chain-of-Layer

Code for AAAI'24 paper "Graph Neural Prompting with Large Language Models".

DSPy: The framework for programming—not prompting—foundation models

A Python Wiktionary Parser

MOSS-RLHF

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

Code for EMNLP 2022 paper "A Unified Encoder-Decoder Framework with Entity Memory"

Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)

Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains (AAAI'24)

Entity linking evaluation and analysis tool

Must-read papers, related blogs and API tools on the pre-training and tuning methods for ChatGPT.

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Structured Gradient Tree Boosting

WikiChat is an improved RAG. It stops the hallucination of large language models by retrieving data from a corpus.

High accuracy RAG for answering questions from scientific documents with citations

Official style files for papers submitted to venues of the Association for Computational Linguistics