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Where Should the Evaluation Budget Go in LLM-Driven Agent Scaffold Evolution?
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Watermark Basins: Black-Box Detection of Distilled LLMs
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Decision Models as Judges for Hallucination Detection
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I Used AI to Fake a Scientific Paper. Here’s What HappenedAuthor fakes a scientific paper with AI, probing publishing's AI slopAn author recounts using AI to fabricate a scientific paper. Academic publishing is said to be clogged with AI slop: about 57 percent of 2025 papers showed LLM influence, up from 12 percent in 2023, and 12+ percent of Nature Communications reviews were AI-generated.
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Coverage Under Contradiction: A Benchmark for Negation-Aware Retrieval
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What Survives Distillation? A Mechanistic Interpretability Study of GPT-2 and DistilGPT-2
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Mechanistic Failure Modes of Weight Pruning in Transformer Language Models
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Prospector: learning a compact graph traversal policy for scientific reasoning
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Text Generation in Low-Resource Languages Using Human-Curated Vocabularies
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Hierarchical Low-Rank Reparameterization for Parameter-Efficient
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Guided-RLVR: Guided Exploration in Reinforcement Learning with Verifiable Rewards
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Zooming without Zooming v2: From Seeing Details to Connecting Evidence for Generalizable Multimodal Perception
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SpectRAG: Weighted Chunk Graphs for Token-Budgeted Context Selection in Multi-Hop Retrieval-Augmented Generation
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The State and Fate of Multilingual, Contextual Evaluation in the NLP World
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Self-Keyed In-Parameter Memorization for External Memory-Free Dialogue Recall in Frozen Language Models
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JevRec: Linguistic Encoding with Jev-like Decision Modeling for LLM-based Generative Recommendation
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DocXEval: A Systematic Evaluation of Explainability in Multimodal Document Understanding
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TrawMem: Reframing Agent Memory as Task-Oriented Role-Adaptive Workspaces
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Expanding our partnership with GSA to bring Claude to all levels of governmentAnthropic expands GSA deal: 40% off Claude for governmentsAnthropic 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.
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GPT-6.1 TerraOpenAI launches GPT-6.1 Terra, fast model for visual reasoning, computer useOpenAI 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.
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Greptile takes bug detection beyond code review with GPT-6 AstraGreptile pushes bug detection past code review with GPT-6 AstraOpenAI describes how Greptile uses GPT-6 Astra to test user workflows, Daybreak to strengthen security, and Codex to reduce rework. The case study frames the work as going beyond conventional code review toward catching bugs earlier in the development process.
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京都府庁、職員7000人の事務効率化で「Copilotだけに頼らない」と決めた理由Kyoto Prefecture won't rely on Copilot alone for 7,000 staffFacing a future labor shortage from population decline, Kyoto Prefectural Government is working to make about 7,000 employees more efficient. It adopted conversational AI across the office, but that alone did not ease the workload on the ground, so it decided not to depend on Copilot only.
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伊藤忠インタラクティブが「Claude」活用研修 「AIを使う」から「業務を任せる」へItochu Interactive launches Claude-based AI agent training for businessesItochu Interactive is launching a corporate AI agent implementation training program using Claude and Claude Code. Rather than teaching general generative AI usage, participants build AI agents around their own work, such as drafting proposals and research reports, aiming to automate real tasks and move from merely using AI to delegating work to it.
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Patient-specific rubric-based evaluation of large language models across longitudinal cancer care
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Preserve to Expand: Source-Aware Adaptation and Model Merging for Multilingual LLM-Based ASR
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Work Agents: Systems, Capabilities, and Optimization
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Information-Theoretic Secure Aggregation With Heterogeneous Client Quantization
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Reva: Real-Time Vulnerability Detection through Contextual Probing of Large Language Models
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Does VGGT Know What It Does Not Know?
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Learning When to Commit: Schedule Distillation for Fast Diffusion Language Models