📚 A curated list of Awesome Efficient dLLMs Papers with Codes

Elevate your AI research writing, no more tedious polishing ✨

An agentic skills framework & software development methodology that works.

Ralph is an autonomous AI agent loop that runs repeatedly until all PRD items are complete.

MMDeepResearch-Bench (MMDR)

Claude Code skill implementing Manus-style persistent markdown planning — the workflow pattern behind the $2B acquisition.

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

LLM <-> Python agentic runtime prototype

Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.

Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems by Antonio Gulli

Official repository for DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research

Defeating the Training-Inference Mismatch via FP16

MrlX: A Multi-Agent Reinforcement Learning Framework

LLM Council works together to answer your hardest questions

A paper list for spatial reasoning

This repository is maintained to release dataset and models for multimodal puzzle reasoning.

We introduce 'Thinking with Video', a new paradigm leveraging video generation for multimodal reasoning. Our VideoThinkBench shows that Sora-2 surpasses GPT5 by 10% on eyeballing puzzles and reache…

Kimi Code CLI is your next CLI agent.

The absolute trainer to light up AI agents.

OmniGen2: Exploration to Advanced Multimodal Generation. https://arxiv.org/abs/2506.18871

Fully Local Manus AI. No APIs, No $200 monthly bills. Enjoy an autonomous agent that thinks, browses the web, and code for the sole cost of electricity. 🔔 Official updates only via twitter @Martin9…

Code repo for FaStfact: Faster, Stronger Long-Form Factuality Evaluations in LLMs.

A simple, unified multimodal models training engine. Lean, flexible, and built for hacking at scale.

Contexts Optical Compression

Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

[NeurIPS 2025] Scaling Language-centric Omnimodal Representation Learning

[NeurIPS 2025] Implementation for the paper "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"