Awesome Frontier AI Papers

# Awesome Frontier AI Papers

Daily tracker for frontier AI lab papers, model cards, system cards, dataset cards, and technical reports.

- Website: https://likeacloud7.github.io/awesome-frontier-ai-papers/
- Dataset: [`public/data/company_papers.json`](public/data/company_papers.json)
- Last generated: `2026-07-05T06:55:06+00:00`
- Coverage: `6206` papers across `19` labs since 2024

## Labs

| Region | Lab | Papers | Latest | Full list |
|---|---:|---:|---|---|
| 🇺🇸 US | [Microsoft](#microsoft) | 1777 | 2026-07-05 | [all papers](docs/labs/microsoft.md) |
| 🇺🇸 US | [NVIDIA](#nvidia) | 241 | 2026-07-03 | [all papers](docs/labs/nvidia.md) |
| 🇺🇸 US | [Amazon](#amazon) | 1034 | 2026-07-02 | [all papers](docs/labs/amazon.md) |
| 🇨🇳 China | [Alibaba/Qwen](#alibabaqwen) | 477 | 2026-07-02 | [all papers](docs/labs/alibaba-qwen.md) |
| 🇺🇸 US | [Google/DeepMind](#googledeepmind) | 424 | 2026-07-02 | [all papers](docs/labs/google-deepmind.md) |
| 🇺🇸 US | [Apple](#apple) | 385 | 2026-07-02 | [all papers](docs/labs/apple.md) |
| 🇺🇸 US | [Meta/FAIR](#metafair) | 136 | 2026-07-02 | [all papers](docs/labs/meta-fair.md) |
| 🇨🇳 China | [Tencent/Hunyuan](#tencenthunyuan) | 738 | 2026-07-01 | [all papers](docs/labs/tencent-hunyuan.md) |
| 🇨🇳 China | [Huawei/Noah](#huaweinoah) | 436 | 2026-06-30 | [all papers](docs/labs/huawei-noah.md) |
| 🇨🇳 China | [ByteDance/Seed](#bytedanceseed) | 148 | 2026-06-30 | [all papers](docs/labs/bytedance-seed.md) |
| 🇺🇸 US | [OpenAI](#openai) | 54 | 2026-06-30 | [all papers](docs/labs/openai.md) |
| 🇨🇳 China | [Baidu](#baidu) | 271 | 2026-06-26 | [all papers](docs/labs/baidu.md) |
| 🇨🇳 China | [DeepSeek](#deepseek) | 30 | 2026-06-26 | [all papers](docs/labs/deepseek.md) |
| 🇺🇸 US | [Anthropic](#anthropic) | 29 | 2026-06-26 | [all papers](docs/labs/anthropic.md) |
| 🇨🇳 China | [StepFun](#stepfun) | 24 | 2026-06-23 | [all papers](docs/labs/stepfun.md) |
| 🇨🇳 China | [MiniMax](#minimax) | 9 | 2026-06-10 | [all papers](docs/labs/minimax.md) |
| 🇨🇳 China | [Z.ai/Zhipu](#zaizhipu) | 24 | 2026-06-08 | [all papers](docs/labs/zai-zhipu.md) |
| 🇨🇳 China | [Moonshot/Kimi](#moonshotkimi) | 16 | 2026-03-16 | [all papers](docs/labs/moonshot-kimi.md) |
| 🇺🇸 US | [xAI](#xai) | 3 | 2025-11-05 | [all papers](docs/labs/xai.md) |

## Latest Across Labs

| Date | Lab | Paper | Type | Source |
|---|---|---|---|---|
| 2026-07-05 | Microsoft | [Learning Optimal Message Representations for Agentic Communication](https://www.microsoft.com/en-us/research/publication/learning-optimal-message-representations-for-agentic-communication/) | publication | Official page |
| 2026-07-05 | Microsoft | [StepFly: Agentic Troubleshooting Guide Automation for Incident Diagnosis](https://www.microsoft.com/en-us/research/publication/stepfly-agentic-troubleshooting-guide-automation-for-incident-diagnosis/) | publication | Official page |
| 2026-07-03 | NVIDIA | [MotionBricks: Scalable Real-Time Motions with Modular Latent Generative Model and Smart Primitives](https://doi.org/10.1145/3811334) | article | OpenAlex |
| 2026-07-02 | Apple | [Sparse Autoencoders Are Capable LLM Jailbreak Mitigators](https://machinelearning.apple.com/research/sparse-autoencoders-jailbreak-mitigators) | publication | Official page |
| 2026-07-02 | Apple | [Residual Context Diffusion Language Models](https://machinelearning.apple.com/research/residual-context-diffusion) | publication | Official page |
| 2026-07-02 | Apple | [On Robustness and Chain-of-Thought Consistency of RL-Finetuned VLMs](https://machinelearning.apple.com/research/robustness-chain-thought-consistency) | publication | Official page |
| 2026-07-02 | Apple | [Normalized Rewards for Preference Learning](https://machinelearning.apple.com/research/normalized-rewards) | publication | Official page |
| 2026-07-02 | Apple | [Multi-Agent Teams Hold Experts Back](https://machinelearning.apple.com/research/multi-agent-teams-experts) | publication | Official page |
| 2026-07-02 | Apple | [MemoryLLM: Plug-n-Play Interpretable Feed-Forward Memory for Transformers](https://machinelearning.apple.com/research/memoryllm) | publication | Official page |
| 2026-07-02 | Apple | [MODUS: Decoder-only Any-to-Any Modeling of Diverse Modalities](https://machinelearning.apple.com/research/modus) | publication | Official page |
| 2026-07-02 | Apple | [Learning from Self Critique and Refinement for Faithful LLM Summarization](https://machinelearning.apple.com/research/faithful-llm-summarization) | publication | Official page |
| 2026-07-02 | Apple | [Learning Structured Reasoning via Tractable Trajectory Control](https://machinelearning.apple.com/research/learning-structured-reasoning) | publication | Official page |
| 2026-07-02 | Apple | [Flexible Routing via Uncertainty Decomposition](https://machinelearning.apple.com/research/flexible-routing-uncertainty) | publication | Official page |
| 2026-07-02 | Apple | [Emergent Symbolic Structure in Health Foundation Models: Extraction, 

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