[NeurIPS 2024] Implementation of "Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification"

Code and dataset for the paper: "Can Editing LLMs Inject Harm?"

Locating and editing factual associations in GPT (NeurIPS 2022)

A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).

awesome llm plaza: daily tracking all sorts of awesome topics of llm, e.g. llm for coding, robotics, reasoning, multimod etc.

Code for ACL 2024 paper "TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space"

Code for the LREC-Coling 2024 paper "VI-OOD: A Unified Representation Learning Framework for Textual Out-of-distribution Detection"

This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.

Code for the paper <SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning>

SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

A curated list of safety-related papers, articles, and resources focused on Large Language Models (LLMs). This repository aims to provide researchers, practitioners, and enthusiasts with insights i…

Code for the CLOLING paper "A Closer Look at Few-Shot Out-of-Distribution Intent Detection"

High-speed download of LLaMA, Facebook's 65B parameter GPT model

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

A curated list of techniques to avoid posterior collapse

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

LeetCode 101：力扣刷题指南

NLP研究入门之道

Must-read papers on prompt-based tuning for pre-trained language models.

Out-of-Scope Intent Detection

This repository contains the essential code for the paper Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training (ACL 2021).

Related papers for robust machine learning

Medical Visual Question Answering via Conditional Reasoning [ACM MM 2020]

A pytorch implementation of 'Variational Metric Scaling for Metric-based Meta-learning'

Some projects from Xuanyi Dong.

This is a pytorch implementation of our Recurrent Aggregation of Multimodal Embeddings Network (RAMEN) from our CVPR-2019 paper.