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Awesome papers involving LLMs in Social Science.

Active Learning for Text Classification in Python

In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

(Accepted by IJCV) Liquid: Language Models are Scalable and Unified Multi-modal Generators

xLAM: A Family of Large Action Models to Empower AI Agent Systems

An application for running LLMs locally on your device, with your documents, facilitating detailed citations in generated responses.

An AI-app that allows you to upload a PDF and ask questions about it. It uses OpenAI's LLMs to generate a response.

Second Brain is an agentic framework that acts as an operating system, using local file intelligence, workflow automation, and LLMs to complete tasks and communicate over multiple modalities and messaging platforms.

Achieve the llama3 inference step-by-step, grasp the core concepts, master the process derivation, implement the code.

The fastest, lightest, and easiest-to-integrate AI gateway on the market. Fully open-sourced.

A very quick project that transforms research papers into engaging three-person discussions, offering an intuitive and thought-provoking listening experience. Perfect for podcast enthusiasts seeking a fresh way to explore academic content.

A developer experience centered on CUE. Unifies schemas, data models, deterministic and agentic code generation, workflow and task engine, dagger powered environments, coding assistant, and vscode extension; woven together on the CUE lattice. Squint harder if you can't see the cube :]

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

kani (カニ) is a highly hackable microframework for tool-calling language models. (NLP-OSS @ EMNLP 2023)

An open-weight 11B model series for long-form and real-time video understanding

GraphRAG4OpenWebUI integrates Microsoft's GraphRAG technology into Open WebUI, providing a versatile information retrieval API. It combines local, global, and web searches for advanced Q&A systems and search engines. This tool simplifies graph-based retrieval integration in open web environments.

TimeCopilot: the GenAI Forecasting Agent. Built on LLMs and Time Series Foundation Models, it lets you forecast, cross-validate, and detect anomalies using multiple foundation models through a single API. From finance and energy to web analytics, TimeCopilot turns natural-language queries into production-ready forecasts.

Build high-performance AI models with modular building blocks

[NeurIPS D&B '25] The one-stop repository for LLM unlearning

This repo contains evaluation code for the paper "MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI"

本教程将全面指导你如何快速搭建自己的AI应用环境，从Docker桌面版的安装与配置开始，到本地部署Dify并自定义AI助手功能，让你轻松实现“猜病例”、“甜蜜哄人”、“新生入学指南”、“小红书读书卡片”与“面试宝典”等多种特色AI应用。并教会你从基础智能体到使用工作流，再到知识库、DeepResearch、数据库、MCP、复杂任务编排等高阶任务，由浅到深的学习掌握基于dify的大模型应用开发。

Leverage hallucinations from Large Language Models (LLMs) for novelty-driven explorations.

历年ICLR论文和开源项目合集，包含ICLR2021、ICLR2022、ICLR2023、ICLR2024、ICLR2025.

A curated list of awesome AI tools, frameworks, api, software and resources.

appbuilder-sdk, 千帆AppBuilder-SDK帮助开发者灵活、快速的搭建AI原生应用

A curated list of awesome AGI frameworks, software and resources

[ICML 2025] "SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator"

EMNLP 2026 Main Conference Paper: MASCOT: Towards Multi-Agent Socio-Collaborative Companion Systems (https://arxiv.org/abs/2601.14230)