New Model Releases

A
Showing 241–270 of 287
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    EnergyCal: Taming Loss Spikes in Muon-Family Optimizers for Sparse MoE Training
    Mixture of Experts (MoE) Retrieval-Augmented Generation (RAG) Reinforcement Learning from Human Feedback (RLHF)
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Exploring the Limits of the Delta Learning Hypothesis: Single-Pair Generator Biases in Direct Preference Optimization
    Reinforcement Learning from Human Feedback (RLHF)
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN Multimodal
    V-LUMEN: Visual Lookup Memory for Embedding Scaling in Vision-Language Models
    Computer Vision Embeddings Mixture of Experts (MoE) Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    The State and Fate of Multilingual, Contextual Evaluation in the NLP World
    Neural Network Natural Language Processing (NLP) Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    AutoVend: Benchmarking LLM Agents on Long-Horizon Autonomous Vending Operations
    AI Agents Inference
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN Multimodal
    DocXEval: A Systematic Evaluation of Explainability in Multimodal Document Understanding
    Meta Transformer
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN Inference & Efficiency
    Do We Need an LLM to Know Why Sources Conflict? Decision Models for Knowledge-Conflict Typing in RAG
    Gemini Inference Retrieval-Augmented Generation (RAG) Software Engineering
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • ITmedia AI+ · JA New Model Releases
    メアドを検索→AIで“その人専用フィッシングメール”を生成する手法、クリック率が約2.7倍に 7000人以上で実験
    AI-personalized phishing lifts click rates about 2.7x in study
    Researchers from institutions including TU Berlin published 'A Large-Scale Study of Personalized Phishing using Large Language Models', testing how effective LLM-generated spear phishing is. Searching a target's email address and generating a tailored phishing message reportedly raised click rates roughly 2.7 times in an experiment involving more than 7,000 people.
    Read original (ITmedia AI+) ↗
  • ITmedia AI+ · JA New Model Releases
    コスパ重視の「GPT-6.1 Terra」新登場 コスト10分の1で一部Astraと同等性能うたう
    OpenAI launches cost-focused GPT-6.1 Terra at one-tenth the cost
    GPT OpenAI
    OpenAI has announced GPT-6.1 Terra, a new cost-efficiency-focused model. It claims performance on par with the top-tier GPT-6 Astra in some areas while costing one-tenth as much, offering a cheaper option for using high-end capabilities.
    Read original (ITmedia AI+) ↗
  • Anthropic News · EN Developer Tools
    Expanding our partnership with GSA to bring Claude to all levels of government
    Anthropic expands GSA deal: 40% off Claude for governments
    Claude Retrieval-Augmented Generation (RAG)
    Anthropic announced a new GSA agreement offering government partners a 40% discount on Claude Enterprise, Claude for Government and the API across all product surfaces, extended to state, local and tribal governments. A new implementation program launches too; savings are estimated at $1 billion.
    Read original (Anthropic News) ↗
  • Simon Willison's Weblog · EN New Model Releases
    GPT-6.1 Terra
    OpenAI launches GPT-6.1 Terra, fast model for visual reasoning, computer use
    Anthropic GPT Neural Network OpenAI
    OpenAI introduced GPT-6.1 Terra, a fast, efficient model emphasizing detailed visual reasoning, precise computer use and clearer writing, a significant step up from GPT-5.6 Terra. Simon Willison notes it sits where Sonnet does in Anthropic's lineup, and suits repetitive automated computer-use tasks.
    Read original (Simon Willison's Weblog) ↗
  • IEEE Spectrum (AI section) · EN New Model Releases
    IEEE Xplore Digital Library Adds AI Assistant
    IEEE launches AI Research Suite for Xplore digital library
    Machine Learning Neural Network Reinforcement Learning Software Engineering
    IEEE released the IEEE Xplore AI Research Suite, built on the full text of millions of peer-reviewed publications. Powered by an AI system tuned for STEM literature, it gives answers grounded in verified results, as an optional upgrade for institutional subscribers.
    Read original (IEEE Spectrum (AI section)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    Auto-Research Arena: Benchmarking and Advancing Auto-Research in Language Modeling
    Inference Neural Network Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Patient-specific rubric-based evaluation of large language models across longitudinal cancer care
    Neural Network
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    Work Agents: Systems, Capabilities, and Optimization
    AI Agents Neural Network
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Agents & Tool Use
    I-HITL: Inalienable Human-in-the-Loop
    AI Agents Neural Network
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Training & Fine-tuning
    Pretraining Knows What, Simulation Teaches How: Compositional Generalization in a Sim-Trained Robot Agent
    Computer Vision Fine-tuning GPT Neural Network Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    FOCUS: Active Critic Learning for Long-Horizon Language Model Agents
    AI Agents Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Quantifying Claim Smoothing by LLM Research Agents
    AI Agents Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Atomic Security Concerns: Towards a Foundational Language for Security Knowledge Representation
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    A Unified Arena for LLM Agents across Diverse Eurogame
    AI Agents Neural Network
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    EEGaze: Multimodal Attention Prediction in Visual Search via EEG-Based Saliency Refinement
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    Model Selection for Off-Policy Evaluation via Pairwise Bellman Validation
    Neural Network
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    LUCID: Local Understanding of Covariate Importance with Conditional Density Estimation
    Machine Learning Neural Network Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    Preference-Guided Cooperation in Multi-Objective Multi-Agent Reinforcement Learning
    AI Agents Meta Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Safety & Evaluation
    Multi-Objective Reinforcement Learning Using Routed Ensembles and Trajectory Attribution
    Meta Neural Network Retrieval-Augmented Generation (RAG) Reinforcement Learning Robotics
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Safety & Evaluation
    The Watchtower Imperative: Lifespan-Calibrated Evaluation for Frontier AI
    Neural Network Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.LG (Machine Learning) · EN Infrastructure & Hardware
    Triage: Skip, Skim, or Refine Attention Tiles in Video Diffusion Transformers
    Inference Transformer
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Infrastructure & Hardware
    Towards a Unified Framework of Optimal Input-Side Dimensional Configuration for Deep CTR Prediction
    Embeddings Machine Learning Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    TrySee: Modular Perception-Enhanced VLM Grounding for Closed-Loop Robot Task Planning in Specialized Domains
    Fine-tuning Neural Network Reinforcement Learning Robotics
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗