evison

evison's Stars

• sindresorhus/awesome

  😎 Awesome lists about all kinds of interesting topics

  333k7.8k34527.9k

• langchain-ai/opengpts

  Language:Rich Text Format6.5k68141863

• MarkFzp/mobile-aloha

  Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

  Language:Jupyter Notebook3.9k7517673

• agiresearch/AIOS

  AIOS: LLM Agent Operating System

  Language:Python3.4k5145409

• MarkFzp/act-plus-plus

  Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN

  Language:Python3k4656563

• zchoi/Awesome-Embodied-Agent-with-LLMs

  This is a curated list of "Embodied AI or robot with Large Language Models" research. Watch this repository for the latest updates! 🔥

  99842356

• themesberg/landwind

  Responsive and clean landing page built with Tailwind CSS and Flowbite

  Language:HTML88491191

• wayveai/Driving-with-LLMs

  PyTorch implementation for the paper "Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving"

  Language:Python447172538

• agiresearch/WarAgent

  WarAgent: LLM-based Multi-Agent Simulation of World Wars

  Language:Python2029632

• agiresearch/Formal-LLM

  Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents

  Language:Python1095410

• Luckfort/CD

  "Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?"

  Language:Python58114

• MingyuJ666/ProLLM

  [COLM'24] We propose Protein Chain of Thought (ProCoT), which replicates the biological mechanism of signaling pathways as language prompts. It considers a signaling pathway as a protein reasoning process, which starts from upstream proteins and passes through several intermediate proteins to transmit biological signals to downstream proteins.

  Language:Python49425

• casmlab/NPHardEval

  Repository for NPHardEval, a quantified-dynamic benchmark of LLMs

  Language:Jupyter Notebook48223

• agiresearch/AutoFlow

  Language:Jupyter Notebook41506

• agiresearch/CoRE

  LLM as Interpreter for Natural Language Programming, Pseudo-code Programming and Flow Programming of AI Agents

  Language:Jupyter Notebook33406

• agiresearch/IDGenRec

  Towards LLM-RecSys Alignment with Textual ID Learning

  Language:Python31342

• MingyuJ666/The-Impact-of-Reasoning-Step-Length-on-Large-Language-Models

  [ACL'24] Chain of Thought (CoT) is significant in improving the reasoning abilities of large language models (LLMs). However, the correlation between the effectiveness of CoT and the length of reasoning steps in prompts remains largely unknown. To shed light on this, we have conducted several empirical experiments to explore the relations.

  Language:Jupyter Notebook30133

• agiresearch/TrustAgent

  TrustAgent: Towards Safe and Trustworthy LLM-based Agents

  Language:Python25311

• agiresearch/BattleAgent

  Language:Python20201

• agiresearch/EmojiCrypt

  EmojiCrypt: Prompt Encryption for Secure Communication with Large Language Models

  Language:Jupyter Notebook13403

• GHupppp/MemorySharingLLM

  Language:Python13202

• qcznlp/uncertainty_attack

  Language:Python12133

• agiresearch/ContextHub

  Contextualized Logic

  Language:Python10201

• Tizzzzy/Law_LLM

  Language:Jupyter Notebook10111

• agiresearch/UP5

  UP5: Unbiased Foundation Model for Fairness-aware Recommendation

  Language:Python5301

• agiresearch/MoralBench

  MoralBench: Evaluating the Moral of Large Language Models

  Language:Python4

• yunqi-li/Fairness-Of-ChatGPT

  Language:Jupyter Notebook40

• agiresearch/agiresearch.github.io

  AGI Research

  Language:CSS2300

• agiresearch/AIOS-RAG

  210

• imrecommender/PGNR

  Language:Python11