【AI最新動向 2026年3月27日】論文5件・GitHub5件

2026年3月27日2026年3月28日

📝 この記事のポイント

🚀 AI技術の最新動向 – 2026年3月27日世界中から収集したAI・機械学習の最新情報をお届けします 📑 目次 💻 注目のGitHubプロジェクト alvinunreal/awesome-opensource-ai dubermandeer/Worm-GPT-LLM-2026 pharaongayd/Album-Formula-Ai-2026-Update OnlyTerp/turboquant groovy-web/awesome-ai-agents 📌 関連記事もチェック 📚 最新研究論文 1. Vega: Learning to Drive with Natural Language Instructions 著者: Sicheng Zuo, Yuxuan Li, Wenzhao Zheng Vision-language-action models have reshaped autonomous driving to incorporate languages into the decision-making process. However, most existing pipelines only utilize the language modality for scene descriptions or reasoning and lack the flexibility to follow diverse user instructions for personali… 論文を読む → 2. Drive My Way: Preference Alignment of Vision-Language-Action Model for Personalized Driving 著者: Zehao Wang, Huaide Jiang, Shuaiwu Dong Human driving behavior is inherently personal, which is shaped by long-term habits and influenced by short-term intentions. Individuals differ in how they accelerate, brake, merge, yield, and overtake across diverse situations. However, existing end-to-end autonomous driving systems either optimize … 論文を読む → 3. Training the Knowledge Base through Evidence Distillation and Write-Back Enrichment 著者: Yuxing Lu, Xukai Zhao, Wei Wu The knowledge base in a retrieval-augmented generation (RAG) system is typically assembled once and never revised, even though the facts a query requires are often fragmented across documents and buried in irrelevant content. We argue that the knowledge base should be treated as a trainable componen… 論文を読む → 💻 注目のGitHubプロジェクト 1. alvinunreal/awesome-opensource-ai Curated list of the best truly open-source AI projects, models, tools, and infrastructure. ⭐ 1,201 stars | 🔀 85 forks リポジトリを見る → 2. dubermandeer/Worm-GPT-LLM-2026 High-performance C++ execution engine for LLM red-teaming and prompt engineering. Deploy dynamic jailbreak payloads, bypass alignment guardrails, and utilize free autonomous uncensored conversational logic locally. ⭐ 75 stars | 🔀 0 forks リポジトリを見る → 3. pharaongayd/Album-Formula-Ai-2026-Update Album | Formula | Ai | Photo | Artivicial Intelligence | Creative | Tools | Generation | ⭐ 41 stars | 🔀 0 forks リポジトリを見る → 4. OnlyTerp/turboquant First open-source implementation of Google TurboQuant (ICLR 2026) — near-optimal KV cache compression for LLM inference. 5x compression with near-zero quality loss. ⭐ 27 stars | 🔀 2 forks リポジトリを見る → 5. groovy-web/awesome-ai-agents A curated list of AI agent frameworks, tools, platforms, and resources ⭐ 15 stars | 🔀 0 forks リポジトリを見る → 📚 あわせて読みたい「プロンプトは戦略だ！」と学んで劇的効率UP！私のAI活用術私が実感！AIで物流の悩み解消、時間もコストも浮いた話 AI三つ巴！Geminiと私が出会って、ストーリー作りは変わった？。

🚀 AI技術の最新動向 – 2026年3月27日

世界中から収集したAI・機械学習の最新情報をお届けします

📑 目次

💻 注目のGitHubプロジェクト
1. alvinunreal/awesome-opensource-ai
2. dubermandeer/Worm-GPT-LLM-2026
3. pharaongayd/Album-Formula-Ai-2026-Update
4. OnlyTerp/turboquant
5. groovy-web/awesome-ai-agents
📌 関連記事もチェック

📚 最新研究論文

1. Vega: Learning to Drive with Natural Language Instructions

著者: Sicheng Zuo, Yuxuan Li, Wenzhao Zheng

Vision-language-action models have reshaped autonomous driving to incorporate languages into the decision-making process. However, most existing pipelines only utilize the language modality for scene descriptions or reasoning and lack the flexibility to follow diverse user instructions for personali…

論文を読む →

2. Drive My Way: Preference Alignment of Vision-Language-Action Model for Personalized Driving

著者: Zehao Wang, Huaide Jiang, Shuaiwu Dong

Human driving behavior is inherently personal, which is shaped by long-term habits and influenced by short-term intentions. Individuals differ in how they accelerate, brake, merge, yield, and overtake across diverse situations. However, existing end-to-end autonomous driving systems either optimize …

論文を読む →

3. Training the Knowledge Base through Evidence Distillation and Write-Back Enrichment

著者: Yuxing Lu, Xukai Zhao, Wei Wu

The knowledge base in a retrieval-augmented generation (RAG) system is typically assembled once and never revised, even though the facts a query requires are often fragmented across documents and buried in irrelevant content. We argue that the knowledge base should be treated as a trainable componen…

論文を読む →

💻 注目のGitHubプロジェクト

1. alvinunreal/awesome-opensource-ai

Curated list of the best truly open-source AI projects, models, tools, and infrastructure.

⭐ 1,201 stars | 🔀 85 forks

リポジトリを見る →

2. dubermandeer/Worm-GPT-LLM-2026

High-performance C++ execution engine for LLM red-teaming and prompt engineering. Deploy dynamic jailbreak payloads, bypass alignment guardrails, and utilize free autonomous uncensored conversational logic locally.

⭐ 75 stars | 🔀 0 forks

リポジトリを見る →

3. pharaongayd/Album-Formula-Ai-2026-Update

⭐ 41 stars | 🔀 0 forks

リポジトリを見る →

4. OnlyTerp/turboquant

First open-source implementation of Google TurboQuant (ICLR 2026) — near-optimal KV cache compression for LLM inference. 5x compression with near-zero quality loss.

⭐ 27 stars | 🔀 2 forks

リポジトリを見る →