Stars
Convene a private boardroom of named directors who disagree on purpose. Pose your hardest question, dial the temperature from brainstorm to debate, and watch six lenses stress-test your thinking — …
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
A code for Dynamic Planning for LLM-based Graphical User Interface Automation
Enhancing AI Software Engineering with Repository-level Code Graph
DocBench: A Benchmark for Evaluating LLM-based Document Reading Systems
Autonomous Agents (LLMs) research papers. Updated Daily.
Reproduction Code for Paper "Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models"
[NeurIPS 2024] Code and Data Repo for Paper "Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning"
A generative speech model for daily dialogue.
Code and Data Repo for ACL'24 Paper "Meta-Reasoning: Semantics-Symbol Deconstruction for Large Language Models"
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
Robust recipes to align language models with human and AI preferences
🙌 OpenHands: AI-Driven Development
Official repo for "Make Your LLM Fully Utilize the Context"
Code of "Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model"
Official implementation for "GLaPE: Gold Label-agnostic Prompt Evaluation and Optimization for Large Language Models" (stay tuned & more will be updated)
[ACL 2024] Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models
Structured Chemistry Reasoning with Large Language Models
[NeurIPS 2024] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
Large World Model -- Modeling Text and Video with Millions Context
《动手学大模型Dive into LLMs》系列编程实践教程