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Yangyi Chen's Projects

auto-gpt icon auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-courses icon awesome-courses

:books: List of awesome university courses for learning Computer Science!

code-act icon code-act

Official Repo for paper "Executable Code Actions Elicit Better LLM Agents" by Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji.

cotconsistency icon cotconsistency

The released data for paper "Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models".

fastchat icon fastchat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

llama icon llama

Inference code for LLaMA models

llmzoo icon llmzoo

⚡LLM Zoo is a project that provides data, models, and evaluation benchmark for large language models.⚡

lm-toast icon lm-toast

Source code for ACL 2023 Findings paper "Making Pre-trained Language Models both Task-solvers and Self-calibrators"

maya icon maya

Code base for the EMNLP 2021 paper, "Multi-granularity Textual Adversarial Attack with Behavior Cloning".

moss icon moss

An open-source tool-augmented conversational language model from Fudan University

nemo icon nemo

NeMo: a framework for generative AI

openbackdoor icon openbackdoor

An open-source toolkit for textual backdoor attack and defense (NeurIPS 2022 D&B, Spotlight)

opencompass icon opencompass

OpenCompass is an LLM evaluation platform, supporting a wide range of models (InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.

paperlist-trustworthy-applications icon paperlist-trustworthy-applications

Mostly recording papers about models' trustworthy applications. Intending to include topics like model evaluation & analysis, security, calibration, backdoor learning, robustness, et al.

stanford_alpaca icon stanford_alpaca

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

taadpapers icon taadpapers

Must-read Papers on Textual Adversarial Attack and Defense

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