yangyi-chen Goto Github PK
Name: Yangyi Chen
Type: User
Company: University of Illinois Urbana-Champaign
Bio: CS Ph.D. Student @ UIUC, working on multimodal and large language models
Twitter: YangyiChen6666
Location: Urbana, IL
Name: Yangyi Chen
Type: User
Company: University of Illinois Urbana-Champaign
Bio: CS Ph.D. Student @ UIUC, working on multimodal and large language models
Twitter: YangyiChen6666
Location: Urbana, IL
A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/
An experimental open-source attempt to make GPT-4 fully autonomous.
:books: List of awesome university courses for learning Computer Science!
Paper List for a new paradigm of NLP: Interactive NLP (https://arxiv.org/abs/2305.13246) :fire:
List of language agents based on paper "Cognitive Architectures for Language Agents"
Reading list for research topics in multimodal machine learning
Collection of advice for prospective and current PhD students
A list of backdoor learning resources
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.
Some Conferences' accepted paper lists (including AAAI, IJCAI, KDD, WWW, ICLR, ICML...)
The released data for paper "Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models".
CVPR 2023 论文和开源项目合集
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Inference code for LLaMA models
A library for advanced large language model reasoning
⚡LLM Zoo is a project that provides data, models, and evaluation benchmark for large language models.⚡
Source code for ACL 2023 Findings paper "Making Pre-trained Language Models both Task-solvers and Self-calibrators"
Code base for the EMNLP 2021 paper, "Multi-granularity Textual Adversarial Attack with Behavior Cloning".
An open-source tool-augmented conversational language model from Fudan University
Paper list about multimodal and large language models, only used to record papers I read in the daily arxiv for personal needs.
NeMo: a framework for generative AI
An open-source toolkit for textual backdoor attack and defense (NeurIPS 2022 D&B, Spotlight)
OpenCompass is an LLM evaluation platform, supporting a wide range of models (InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
Mostly recording papers about models' trustworthy applications. Intending to include topics like model evaluation & analysis, security, calibration, backdoor learning, robustness, et al.
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Repository for the ACL2023 paper "Reasoning with Language Model Prompting: A Survey".
Code and documentation to train Stanford's Alpaca models, and generate the data.
Must-read Papers on Textual Adversarial Attack and Defense
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.