…Jinheon Baek , , Sangwoo Park , Woongyeong Yeo , , , , Abstract OmniRetrieval is a framework that handles diverse knowledge sources by identifying appropriate repositories and dispatching native queries to their respective execution engines, outperforming single-source…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct We introduce EMMA, a physics-informed multimodal framework that recovers all identifiable dynamical parameters of a system directly from raw video, audio, and image…
…Jun.18 Release Safer pull_request_target defaults for GitHub Actions checkout actions supply chain security Jun.18 Release Control who and what triggers GitHub Actions workflows actions supply chain security Jun…
…We call this failure mode memory confabulation and introduce the Reflection Repetition Rate (RRR), a log-based metric that detects repeated reliance on incorrect reflective content. Using RRR, we identify 16 frozen…
Don’t bother with Moto’s new Razr Ultra — last year’s model is nearly half off and virtually identical Will Sattelberg | Apr 29 2026 - 11:10 am PT | Apr 29 2026…
…These tasks jointly assess model performance across visual generation , trajectory following , and memory . Evaluating 14 representative world models , we identify key limitations and provide insights for future research. The iWorld-Bench model…
…We conducted pre-release testing across domains identified in our Frontier AI Framework as potentially presenting catastrophic risks , and also evaluated the model's misaligned propensities . Our assessment found that CWM does…
…Sinclair Schneider , , Abstract A computational framework combining prompt-based filtering and unsupervised clustering identifies manipulative political narrative clusters from social media posts without requiring predefined categories. AI-generated summary We present a…
…Building on this KB, we generate 14K grounded tasks that require identifying non-obvious yet physically plausible solutions under constraints. Evaluations across 10 state-of-the-art LLMs, including closed and open…
…In addition, we extend existing quantitative evaluation metrics by proposing a new image-based similarity evaluation framework that assesses image fidelity and identity preservation through comparisons between real-world reference images and…