New Model Releases

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Showing 61–90 of 289
  • ITmedia AI+ · JA New Model Releases
    国産LLM「Sarashina」に初の「思考モデル」 ツール呼び出しやWeb検索性能が向上 APIで提供
    SB Intuitions launches Sarashina's first reasoning model
    SoftBank-backed SB Intuitions has announced Sarashina3.2 mini thinking, the first reasoning model in its from-scratch Japanese Sarashina LLM series. It spends more time on output to improve accuracy, offers better tool calling and web search, and is available via API.
    Read original (ITmedia AI+) ↗
  • ITmedia AI+ · JA New Model Releases
    ChatGPT Pro 100/500プランの利用上限を「倍」に Pro 200プランの「半減」は撤回 経緯まとめ
    OpenAI doubles ChatGPT Pro 100/500 limits, drops Pro 200 cut
    GPT OpenAI
    OpenAI's product head Tibo announced that usage limits will double for all ChatGPT Pro and Business Premium plans. Pro 100 and 500 limits are doubled, and the planned halving of the Pro 200 limit has been withdrawn.
    Read original (ITmedia AI+) ↗
  • ITmedia AI+ · JA New Model Releases
    OpenAI、AIの行動指針「Model Spec」を改定 “記憶”の使い方や人間による監督を明記
    OpenAI revises Model Spec, spelling out memory and human oversight
    AI Agents GPT OpenAI
    OpenAI published a revised Model Spec, reorganized around five values. It covers use of memory and conversation history and obedience to human oversight in autonomous agent work, while dropping most persona and detailed style rules.
    Read original (ITmedia AI+) ↗
  • Simon Willison's Weblog · EN New Model Releases
    API credits benefit for eligible ChatGPT subscriptions
    OpenAI now gives $100–$500/month ChatGPT subscribers matching API credits
    Anthropic Claude GPT Neural Network OpenAI
    OpenAI has launched a benefit giving ChatGPT subscribers on $100, $200 or $500 monthly plans an equivalent amount of API credits to apply to an API organization. It mirrors the deal Anthropic announced earlier this month for Max and Team subscribers. The author subscribes to both and may build public demos now that credits are covered.
    Read original (Simon Willison's Weblog) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Elucidating the Design Space of LM Data Attribution
    Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    Propose-Filter-Release: Scaling Noise to Typical Sensitivity via Private Filtering
    Deep Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Multimodal
    Read, Allocate, Route: Role-Coupled Tokenization for Pixel-Space Generative Transformers
    Transformer
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    world2vec: Mechanistic world models through latent dynamics learning
    Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    An ODE-based Sampler for Discrete Diffusion Models
    Software Engineering
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    Difficulty Calibration Across Time for Membership Inference in Diffusion Models
    Inference Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Multistatic ISAC with Deep Learning-Based Clutter Suppression for 5G and Beyond
    Deep Learning Machine Learning Neural Network Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    PIVOT: Progressive Intervention via Online Teacher Correction
    Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Gym-Anything for Robotics: Scaling physical simulations with digital agents
    AI Agents Retrieval-Augmented Generation (RAG) Reinforcement Learning Robotics
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Comparing Human Role-Players and LLM-Simulated Clients in Online Counselling Training: An Analysis of Counselling Patterns
    Mistral Quantization
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    Ramanujan Challenge Results: AI-Assisted Evaluation Pipeline for Multi-Format Proofs
    Deep Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Efficient Scalable Oversight via Rewinding
    Reinforcement Learning Software Engineering
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Homebrewed SLMs: Autoregressive and Masked Diffusion Language Models Built at Home for Portuguese
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Multimodal
    BURGER: Benchmarking and Understanding Robotic Generalization via Embodied Drawing
    Computer Vision Neural Network Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    NEOPIC: A Neural Operator Framework for Particle-based Kinetic Plasma Simulations
    Inference Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Discovering Interpretable Acoustic Features in Autoregressive Voice-Cloning TTS Models
    Speech Processing
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Algebraic World Model: From Exploration to Proofs
    Claude GPT Neural Network Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Agentic University: Collaborative Agents for Personalized Learning
    AI Agents Neural Network
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Fast and accurate neural triage decoding of ultra-high-rate quantum LDPC codes
    Deep Learning Neural Network
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    MetaRefine: Score Refinement with Multi-Level Features for Image Assessment
    Meta Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Preserving Utility in Continual LLM Unlearning via Orthogonal Projections
    Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    FIRME: Registry-Anchored Memory Graphs for Evolving, Heterogeneous Investor Knowledge
    Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Glance: The Generator Is Its Own Reranker
    Fine-tuning Retrieval-Augmented Generation (RAG) Software Engineering
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    Learning developmental dynamics from lineage context
    Retrieval-Augmented Generation (RAG) Transformer
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    A Pretrained Model for Bayesian Filtering in Heterogeneous Dynamical Systems
    Algorithms & Theory Deep Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • 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)) ↗