serenayj

Yanjun Gao (Serena)'s starred repositories

Awesome-Interpretability-in-Large-Language-Models

This repository collects all relevant resources about interpretability in LLMs

CC0-1.015700

awesome-mechanistic-interpretability-lm-papers

3100

seismometer

AI model evaluation with a focus on healthcare

Language:PythonBSD-3-Clause16000

theme-research-group

👥 轻松创建研究组或组织网站 Easily create a stunning Research Group, Team, or Business Website with no-code

Language:TeXMIT29000

ChatGPT_NCCN

Code base, outputs, scoring guidelines and annotations for ChatGPT NCCN evaluation | Paper: https://jamanetwork.com/journals/jamaoncology/fullarticle/2808731

1600

🚨 GROW YOUR AUDIENCE WITH HUGOBLOX! 🚀 HugoBlox is an easy, fast no-code website builder for researchers, entrepreneurs, data scientists, and developers. Build stunning sites in minutes. 适合研究人员、企业家、数据科学家和开发者的简单快速无代码网站构建器。用拖放功能、可定制模板和内置SEO工具快速创建精美网站！

Language:HTMLMIT798800

llm4regression

Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update

Language:Python11000

data-beans

Language:Jupyter NotebookApache-2.04600

ConformalLLM

Extending Conformal Prediction to LLMs

Language:Jupyter NotebookMIT5100

robustness_metrics

Language:Jupyter NotebookApache-2.045900

formatspread

Code accompanying "How I learned to start worrying about prompt formatting".

Language:Python6500

mixture-of-experts

PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538

Language:PythonGPL-3.090500

GraphGPT

[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"

Language:PythonApache-2.048800

Awesome-Prompt-Engineering

This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc

Language:PythonApache-2.0354500

fastRAG

Efficient Retrieval Augmentation and Generation Framework

Language:PythonApache-2.0115000

awesome-multimodal-knowledge-graph

A curated list of AWESOME papers, datasets and tutorials within Multimodal Knowledge Graph.

Language:TeXMIT31400

DacKGR

Source codes and datasets for EMNLP 2020 paper "Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph"

Language:Jupyter NotebookMIT4500

imrc_graph_public

Implementation for the EMNLP 2021 paper "Interactive Machine Comprehension with Dynamic Knowledge Graphs".

Language:PythonMIT2100

Knowledge_Graph_Reasoning_Papers

Must-read papers on knowledge graph reasoning

42500

clinicalnlp-ade

Clinical NLP concept extraction of ADEs in the 2018 n2c2 Adverse Drug Events and Medication Extraction (Track 2). Includes data preprocessing, model training/evaluation scripts.

Language:Python1600