Stars
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Designing Multi-Agent Systems with Zero Supervision
SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning
ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization
Hierarchical Reasoning Model Official Release
YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
PersuasiveToM: A Benchmark for Evaluating Machine Theory of Mind in Persuasive Dialogues
[Findings of NAACL 2024] Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in Conversation
[Findings of ACL 2025] Beyond Verbal Cues: Emotional Contagion Graph Network for Causal Emotion Entailment
[ICML 2025] Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples
[ICML 2024] COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability
2026 AI/ML internship & new graduate job list updated daily
Implementation of the papers on efficient test-time scaling, built upon Transformers.
🔥🔥🔥 ICLR 2025 Oral. Automating Agentic Workflow Generation.
[COLM2025] "Weak-for-Strong: Training Weak Meta-Agent to Harness Strong Executors"
verl: Volcano Engine Reinforcement Learning for LLMs
Official eval code for ROVER: Benchmarking Reciprocal Cross-Modal Reasoning for Omnimodal Generation
Grounding DINO 1.5: IDEA Research's Most Capable Open-World Object Detection Model Series
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
Official implementation for "MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?"
Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep
Scalable steering of language models with hypernetworks.
A resource repository for representation engineering in large language models
Official Repo of "MMBench: Is Your Multi-modal Model an All-around Player?"
Stanford NLP Python library for understanding and improving PyTorch models via interventions
Stanford NLP Python library for benchmarking the utility of LLM interpretability methods