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Fast-dLLM++ Boosts Diffusion LLM Inference Up to 37% With Fréchet Profile Decoding MUZZLE Framework Automates Red-Teaming of Web Agents Against Indirect Prompt Injection Attacks CircuitLasso Enables Scalable Interpretability for Large Language Models at Lower Cost MapDream: Task-Driven Map Learning Achieves State-of-the-Art Vision-Language Navigation New Research Shows Chain-of-Thought Reasoning Should Be Selective, Not Default, for LLMs CPU-Based Classifiers Can Match GPU Performance for LLM Safety at Fraction of Cost, Research Shows Study: LLM Accuracy Declines Predictably as Reasoning Steps Increase in Clinical AI Tasks Building Local: How Sourcing Materials from Surroundings Reduces Supply Chain Risk and Embodied Carbon DySink: Dynamic Frame Sinks Enable Adaptive Long Video Generation Without Context Collapse AL-GNN: New Privacy-Preserving Continual Graph Learning Eliminates Replay Buffers and Backpropagation Fast-dLLM++ Boosts Diffusion LLM Inference Up to 37% With Fréchet Profile Decoding MUZZLE Framework Automates Red-Teaming of Web Agents Against Indirect Prompt Injection Attacks CircuitLasso Enables Scalable Interpretability for Large Language Models at Lower Cost MapDream: Task-Driven Map Learning Achieves State-of-the-Art Vision-Language Navigation New Research Shows Chain-of-Thought Reasoning Should Be Selective, Not Default, for LLMs CPU-Based Classifiers Can Match GPU Performance for LLM Safety at Fraction of Cost, Research Shows Study: LLM Accuracy Declines Predictably as Reasoning Steps Increase in Clinical AI Tasks Building Local: How Sourcing Materials from Surroundings Reduces Supply Chain Risk and Embodied Carbon DySink: Dynamic Frame Sinks Enable Adaptive Long Video Generation Without Context Collapse AL-GNN: New Privacy-Preserving Continual Graph Learning Eliminates Replay Buffers and Backpropagation
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LLM Manuscript Scoring System Validated Against Peer-Review Outcomes at Major AI Conference Technology
Artificial Intelligence #large language models#llm

LLM Manuscript Scoring System Validated Against Peer-Review Outcomes at Major AI Conference

Researchers validate AIPR, an LLM-based manuscript scoring system, against 300 ICLR submissions. The system achieves an AUROC of 0.82 in separating accepted from rejected papers and shows low score variability, offering a reliable first-pass assessment tool.

Jun 16, 2026 1 source
Open Science Gains Ground: 10-Year AI Study Shows Sharp Rise in Code and Data Sharing Technology
Artificial Intelligence #open science#ai research

Open Science Gains Ground: 10-Year AI Study Shows Sharp Rise in Code and Data Sharing

A decade-long analysis of 56,800 AI conference papers shows documentation practices improving dramatically, with code and data sharing nearly sixfold from 11% to 64%. Estimated reproducibility also rose from 28% to 64%, improvements that predated formal reproducibility checklists.

Jun 16, 2026 1 source