David-Li0406

David-Li0406's Stars

• togethercomputer/MoA

  Together Mixture-Of-Agents (MoA) – 65.1% on AlpacaEval with OSS models

  Language:Python2.6k3518352

• apple/axlearn

  An Extensible Deep Learning Library

  Language:Python1.8k5912257

• EdinburghNLP/awesome-hallucination-detection

  List of papers on hallucination detection in LLMs.

  65127451

• google-deepmind/long-form-factuality

  Benchmarking long-form factuality in large language models. Original code for our paper "Long-form factuality in large language models".

  Language:Python54110161

• composable-models/llm_multiagent_debate

  ICML 2024: Improving Factuality and Reasoning in Language Models through Multiagent Debate

  Language:Python34481252

• Re-Align/URIAL

  Language:Python2922718

• shmsw25/FActScore

  A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation"

  Language:Python28443541

• Skytliang/Multi-Agents-Debate

  MAD: The first work to explore Multi-Agent Debate with Large Language Models :D

  Language:Python2638828

• SALT-NLP/DyLAN

  Official Implementation of Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization

  Language:Python1052010

• Re-Align/just-eval

  A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.

  Language:Python75446

• RZFan525/Awesome-ScalingLaws

  A curated list of awesome resources dedicated to Scaling Laws for LLMs

  61103

• abhika-m/FAVA

  Language:Python55341

• AmourWaltz/Reliable-LLM

  Language:JavaScript52113

• Shwai-He/LLM-Drop

  The official implementation of the paper "What Matters in Transformers? Not All Attention is Needed".

  Language:Python45324

• kamanphoebe/Look-into-MoEs

  A Closer Look into Mixture-of-Experts in Large Language Models

  Language:Python38211

• SORRY-Bench/sorry-bench

  SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal Behaviors

  Language:Jupyter Notebook32100

• Shwai-He/MEO

  The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":

  Language:Python31231

• GAIR-NLP/BeHonest

  BeHonest: Benchmarking Honesty in Large Language Models

  Language:JavaScript280

• BunsenFeng/AbstainQA

  AbstainQA, ACL 2024

  Language:Python19210

• Shwai-He/SparseAdapter

  Source code of EMNLP 2022 Findings paper "SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters"

  Language:Python19110

• Shwai-He/PAD-Net

  Source code of ACL 2023 Main Conference Paper "PAD-Net: An Efficient Framework for Dynamic Networks".

  Language:Python9200

• soap117/Self-evaluation

  Language:Python8200

• lawraa/LLM-Discussion

  Language:Python74

• Shwai-He/VLM-Compression

  Language:Python70

• Shwai-He/Shwai-He.github.io

  Language:JavaScript60

• Shwai-He/awesome-mixture-of-experts

  A collection of AWESOME things about mixture-of-experts

  50

• Shwai-He/Multi-modal-Attention-Network-for-Stock-Movements-Prediction

  The dataset of Multi-modal Attention Network for Stock Movements Prediction

  50

• SongW-SW/CEB

  Language:Python50

• Shwai-He/bolei_awesome_posters

  CVPR and NeurIPS poster examples and templates. May we have in-person poster session soon!

  3000

• ErxinYu/PopALM

  20