New Model Releases

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Showing 91–120 of 287
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    Continuous-Action World Models: Learning Cross-Embodiment Spatiotemporal Dynamics Priors
    Neural Network Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Scaling Mathematical Proof Supervision from Structured Textbooks
    Fine-tuning Neural Network Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    Composing and Steering Diffusion Models with Generalized Feynman-Kac Correctors
    Fine-tuning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Beyond Selected Breakthroughs: Evaluating Language Models on Randomly Sampled Mathematical Conjectures
    GPT Machine Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Don't Lose the Thread: Empowering Long-Horizon LLM Agents with Cognitive Resource Self-Allocation
    AI Agents Inference Neural Network Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Industry Adoption
    Multistep and Multivariate Time Series Explainability with GradientSHAP: A Wind Power Case Study
    Deep Learning Machine Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    Rimuru: Unified Memory Management for Modern LLM Serving via Elastic Expert Offloading
    Deep Learning Mixture of Experts (MoE) Neural Network Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.LG (Machine Learning) · EN Developer Tools
    Causal-prior-constrained deep learning for rapid-intensification warning of western North Pacific tropical cyclones
    Deep Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Leveraging Recourse and Size Bounds for OnlineKnapsack with Removable Items
    Algorithms & Theory Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Latent Path Exploration via Potential-Guided Subtrajectory Balance
    Retrieval-Augmented Generation (RAG) Software Engineering
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    When Requirements Interact: Scaling Long-Horizon Coding via Interdependent Specifications
    AI Agents Deep Learning Reinforcement Learning Software Engineering
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • Data Center Dynamics · EN New Model Releases
    Conglomerate Chatterjee Group launches Cortex DC, targets 2GW of data center capacity in India
    Chatterjee Group launches Cortex DC, targeting 2GW in India
    Conglomerate Chatterjee Group has launched Cortex DC, which targets 2GW of data center capacity in India. Few details about the rollout have been shared.
    Read original (Data Center Dynamics) ↗
  • arXiv cs.CL (Computation and Language) · EN Multimodal
    ScienceJudge: Pattern Perturbation Augmentation for Sentence-Level Scientific Claim Verification
    Computer Vision Deep Learning Inference Natural Language Processing (NLP) Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    EpiAgent: Epistemic Self-Play for LLM Agents
    AI Agents Inference Neural Network Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • Sakana AI Blog (ja) · JA New Model Releases
    Intelligence Report: SNSのAI分析からみる米中間選挙
    Sakana AI reads the Texas Senate race from 710K social media reactions
    Inference Reinforcement Learning
    Sakana AI analyzed about 710,000 reactions on X to the Texas Senate race. It estimates Paxton's pre-runoff support was largely party mobilization, dropping from about 50% to under 20% afterward, and that sentiment shifted two months before forecasters moved.
    Read original (Sakana AI Blog (ja)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Towards Full-Text Scholarly Argument Mining using Entity-Anchored Claim Extraction
    Neural Network Natural Language Processing (NLP) Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • Hacker News (Front Page) · EN New Model Releases
    Mistral Large 4 (Le Chonk) is now Open Weight
    Mistral opens weights of 1T-parameter Mistral Large 4 (Le Chonk)
    Mistral
    Mistral released the weights of Mistral Large 4 (Le Chonk), its 1-trillion-parameter natively multimodal flagship, after a public preview. It claims open-weight leadership in agentic coding and defensive cybersecurity, offers three reasoning modes balancing cost and performance, and supports self-hosted deployment as a European-trained model.
    Read original (Hacker News (Front Page)) ↗
  • arXiv cs.CL (Computation and Language) · EN Training & Fine-tuning
    Upcycling Language Models for Multiple Specialized Domains
    Deep Learning Fine-tuning Retrieval-Augmented Generation (RAG) Transformer
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • ITmedia AI+ · JA New Model Releases
    ChatGPTのPro・Businessプランで「API利用」可能に　月最大500ドル分
    OpenAI adds up to $500/month of API credit to ChatGPT Pro and Business
    GPT OpenAI
    OpenAI announced a new perk for ChatGPT Pro and Business subscribers: access to its API, with usage credit of up to $500 per month (roughly 79,000 yen at 158 yen per dollar). The move ties ChatGPT subscriptions more closely to API usage.
    Read original (ITmedia AI+) ↗
  • ITmedia AI+ · JA New Model Releases
    今、最も使われているプログラミング言語は？　AIコーディングでPython超えて急成長
    GitHub's Octoverse 2026 ranks languages as AI coding pushes one past Python
    GitHub has released its annual report, GitHub Octoverse 2026, including a ranking of programming languages by developer count. ITmedia AI+ highlights that, driven by the spread of AI coding, a fast-growing language has overtaken Python. The report suggests AI-assisted development is reshaping which languages developers actually use.
    Read original (ITmedia AI+) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    CBE: A Complexity-adaptive Boundary-aware Ensemble Method for Imbalanced Data
    Algorithms & Theory Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.LG (Machine Learning) · EN Training & Fine-tuning
    Sparse Fine-Tuning for Parameter-Efficient Adversarial Training
    Fine-tuning Neural Network
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    ARBITRA: Robust Document-Level ATT&CK Extraction via Multi-Expert Argumentation
    Fine-tuning GPT
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Diagnosing the Reference Gap: What Visual Scaffolds Can and Cannot Fix in Multimodal Reasoning
    Neural Network Software Engineering
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.LG (Machine Learning) · EN Inference & Efficiency
    LinQuant: Functional Invariances for Low-Precision Linear Recurrences
    Algorithms & Theory Inference Neural Network Quantization Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    How Specific Do I Need to Be? Effects of User Query Underspecification on Deep Research Agents
    AI Agents Reinforcement Learning Software Engineering
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.LG (Machine Learning) · EN Infrastructure & Hardware
    Dobb: Shard-Local Preconditioning in Block-Diagonal Eigenbases
    GPT
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Robustness of Chatbot LLM Judgments of Presidential Actions and Hypothetical Reforms
    Claude Embeddings Gemini Meta Mistral
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    What Makes Medical Examination Items Difficult? Using Large Language Models to Explore Patterns Associated With Empirical Item Difficulty
    Claude Machine Learning Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    More Is Better? Exploring Latent Correspondence in Federated Hypergraph Learning
    Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗