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Showing 31–60 of 326
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DreamQAS: Learning a Decision-Useful World Model for VQE-Efficient Quantum Architecture Search
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Evidence-Type Competition: When Can Interventional Data Teach Language Models Causal Direction?
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Self-Play Meets Skill Evolution: Self-Evolving Search Agents that Pose, Solve, and Remember
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Parameter-Free Heavy-Tailed Bandits
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datasette-agent 0.4a0Datasette Agent 0.4a0 lets agent tools run code in the user's browserDatasette Agent 0.4a0 adds an await context.browser_task() mechanism that lets agent tools execute custom JavaScript directly in the user's browser. The release makes it easier for Datasette Agent plugins to provide tools that run client-side.
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End-to-End Fairness Optimization with Fair Decision-Focused Learning
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Know It, Act on It: Investigating Memory Utilization in LLM Personalization
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ModelEquivBench: Certifying Multi-Relational Evaluation of LLM-Generated Optimization Models
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AgenticRepair: Multi-Faceted Program Context Engineering for Agentic Vulnerability Repair
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Bridging the Question-Answer Gap in Retrieval-Augmented Generation: Hypothetical Prompt Embeddings
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Zero-Mem: Zero-Token Memory Operations for LLM Agents
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Cross-Resolution Semantic Learning for Graph Domain Adaptation
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Versatile On-device Adaptation at the Edge by Unifying Few-shot, Zero-shot, Continual, and In-context Learning
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SeekBrain: An Autonomous Multi-Agent System for Accelerating Neuroscience Discovery
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The persuasive power of large language models does not depend on their perceived national origin
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MAGA: Multi-Platform Self-Fusion of GUI Agents via Structured Action Distillation
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Sample Efficient Hierarchical Reinforcement Learning via Best Policy Identification
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OsteoCAD: A Human-in-the-Loop Cloud-Edge Framework for Bone Tumor Segmentation
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CalibratedRubric: Task-Adaptive Rubric Banks for Open-Ended LLM Evaluation
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Linear Proposal Operators and Stochastic Search Geometry in SOMA and Differential Evolution
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Frugal Bayesian Optimization: Scalable Surrogates for Data- and Resource-Limited Discovery
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MOSAIC: Masked Outsourcing of Secure AI Computations
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MirrorCraft: Paired Evaluation under Hidden Rule Changes in Minecraft
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Knowing When to Quit: Diagnosing and Training LLMs to Abort Futile Reasoning
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Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding
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Detecting Experiential Intertextuality Across Migration Routes: Beyond Surface Similarity in French Narratives
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キオクシアQ1、純利益が前年同期比4500％増 株式分割・自社株買いもKioxia Q1 net profit soars ~4,500% YoY; stock split and buyback announcedKioxia Holdings' fiscal Q1 (April–June 2026) showed revenue of ¥1,767.1bn, up 415.5% year on year, and operating profit of ¥1,270.0bn. Net profit surged roughly 4,500% YoY, and the company also announced a stock split and a share buyback.
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キオクシアQ1決算、純利益は前年比4500％増 AIデータセンター向け需要がけん引Kioxia Q1 net profit up 4,506% YoY, driven by AI data-center demandSemiconductor maker Kioxia Holdings said net profit for its fiscal Q1 (April–June 2026, IFRS) reached ¥842.165bn, up 4,506% year on year. The company attributed the jump to surging memory demand from AI data centers.
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研究者10万人にOpenAI「最上位モデル」無料提供へ 日本でも東大、京大など15大学が対象OpenAI offers top model free to 100,000 researchers; Japan schools includedOpenAI announced a program offering its top ChatGPT model free to 100,000 academic researchers, starting with 10,000 this summer and scaling to 100,000 by 2027. In Japan, 15 universities—including the University of Tokyo, Kyoto University, Waseda, and Keio—are covered.
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Tokenizer-Agnostic Engram Module