An Open-source Framework for Autonomous Language Agents

[ACL 2024] DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference

PROPER: A Progressive Learning Framework for Personalized Large Language Models with Group-Level Adaptation [ACL2025]

Practice of Compiler Theory@Soochow University

[ACL 2024] STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models

No description.

Building a comprehensive and handy list of papers for GUI agents

No description.

Awesome-Large-Search-Models is a collection of papers and resources (Methods, Datasets and other resources) about search-oriented large reasoning models (Large search models). Awesome Large Search Models.

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

No description.

[NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation

Code for our paper "Graph Pre-training for AMR Parsing and Generation" in ACL2022

No description.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

🙌 OpenHands: Code Less, Make More

A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.

i need to read more papers.

[TMLR 2024] Efficient Large Language Models: A Survey

Make websites accessible for AI agents

💻 A curated list of papers and resources for multi-modal Graphical User Interface (GUI) agents.

Agent framework and applications built upon Qwen>=2.0, featuring Function Calling, Code Interpreter, RAG, and Chrome extension.

🤗 smolagents: a barebones library for agents. Agents write python code to call tools and orchestrate other agents.

Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL

🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation

🔍 Awesome Agentic Search is a curated list of papers, tools, and resources on agentic search—where AI agents plan, search, and reason to answer complex questions. Explore the latest research, benchmarks, and industry solutions for next-gen search-enhanced AI! 🤖✨

No description.

A repo lists papers related to LLM based agent

No description.

🌐 WebWalker: Benchmarking LLMs in Web Traversal

Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.

LLMs interview notes and answers:该仓库主要记录大模型（LLMs）算法工程师相关的面试题和参考答案

ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型

🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo

seu-lecture-reserve

A Ray-based High-performance RLHF framework (for 7B on RTX4090 and 34B on A100)

Inference code for LLaMA models

No description.

Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

Fast and memory-efficient exact attention

Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

CCD： Official PyTorch implementation of the paper "Contextual Debiasing for Visual Recognition with Causal Mechanisms"

The official implementation of the EMNLP 2023 paper "Paraphrase Types for Generation and Detection"

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

本项目旨在分享大模型相关技术原理以及实战经验。

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM 等语言模型的本地知识库问答 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM) QA app with langchain

The official implementation of our paper "AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models".

An Easy-to-use Knowledge Editing Framework for LLMs.

PENMAN notation (e.g. AMR) in Python

TeXstudio macro for automatic time tracking and metrics generated from your TeXstudio usage.

东南大学研究生课程资料整理

Code and documentation to train Stanford's Alpaca models, and generate the data.

Reading list of hallucination in LLMs. Check out our new survey paper: "Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models"

A database of SDKs, frameworks, libraries, and tools for creating, monitoring, debugging and deploying autonomous AI agents

A list of AI autonomous agents

Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction

This is the implementation of Constituency Parsing with Span Attention at Findings of EMNLP2020.

Preprocessing code and BERT/XLNet baselines for PDTB 2.0 and 3.0

This is our ARTS test set, an enriched test set to probe Aspect Robustness of ABSA.

TACL 2017

[CVPR 2021] Counterfactual VQA: A Cause-Effect Look at Language Bias

Investigating Pretrained Language Models for Graph-to-Text Generation