yixiao-huang

yixiao-huang's Stars

• bplaut/llm-calibration-and-correctness-prediction

  This repository contains the code for our paper "Probabilities of Chat LLMs Are Miscalibrated but Still Predict Correctness on Multiple-Choice Q&A" (https://arxiv.org/pdf/2402.13213.pdf). Correspondence to plaut@berkeley.edu.

  Language:Python5

• UCSB-NLP-Chang/SemanticSmooth

  Implementation of paper 'Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing'

  Language:Python112

• Hiroki39/Noisy-Exemplars-Make-Large-Language-Models-More-Robust

  NYU DS-GA 3001-003 Final Project

  Language:Python5

• ictnlp/TruthX

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

  Language:Python1115

• gwgundersen/blog-theme

  Files needed to replicate my research blog

  Language:CSS7242

• PKUFlyingPig/EECS126

  UCB EECS126 : probability theory and random processes.

  Language:Jupyter Notebook9119

• daveveitch/UofT

  Some of my work from my studies at UofT

  Language:Jupyter Notebook144

• xie-lab-ml/awesome-alignment-of-diffusion-models

  The collection of awesome papers on alignment of diffusion models.

  411

• okhat/blog

  2224

• hiyouga/LLaMA-Factory

  Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

  Language:Python32.6k4k

• horseee/LLM-Pruner

  [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baichuan, TinyLlama, etc.

  Language:Python84699

• berkeley-stat210a/fall-2024

  Language:TeX1

• IST-DASLab/sparsegpt

  Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".

  Language:Python70794

• thu-ml/LM-Calibration

  Language:Python15

• jubnoske08/linear_algebra

  Solutions to Linear Algebra Done Right, by Sheldon Axler.

  Language:TeX24338

• ShiArthur03/ShiArthur03

  Language:MATLAB10.4k1.9k

• tatsu-lab/stanford_alpaca

  Code and documentation to train Stanford's Alpaca models, and generate the data.

  Language:Python29.4k4k

• meta-llama/llama

  Inference code for Llama models

  Language:Python56.1k9.5k

• ThuCCSLab/Awesome-LM-SSP

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

  83855

• LLM-Tuning-Safety/LLMs-Finetuning-Safety

  We jailbreak GPT-3.5 Turbo’s safety guardrails by fine-tuning it on only 10 adversarially designed examples, at a cost of less than $0.20 via OpenAI’s APIs.

  Language:Python22825

• karpathy/nanoGPT

  The simplest, fastest repository for training/finetuning medium-sized GPTs.

  Language:Python36.8k5.8k

• affjljoo3581/GPT2

  PyTorch Implementation of OpenAI GPT-2

  Language:Python28457

• Yangyi-Chen/Multimodal-AND-Large-Language-Models

  Paper list about multimodal and large language models, only used to record papers I read in the daily arxiv for personal needs.

  52333

• p-lambda/verified_calibration

  Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlight).

  Language:Python14220

• EleutherAI/pythia

  The hub for EleutherAI's work on interpretability and learning dynamics

  Language:Jupyter Notebook2.2k169

• amirgholami/PyHessian

  PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

  Language:Jupyter Notebook679118

• microsoft/mup

  maximal update parametrization (µP)

  Language:Jupyter Notebook1.4k95

• openai/transformer-debugger

  Language:Python4k234

• pliang279/awesome-phd-advice

  Collection of advice for prospective and current PhD students

  1.6k121

• acmutd/help-guide

  A starter-guide for all things at UT Dallas

  Language:Shell271