AI on our phones still makes embarrassing mistakes. This research shows a simple fix: let users correct misclassifications with just one or two examples—no cloud retraining, no heavy downloads. * Server side: big foundation models teach (distill) strong features into a compact, device-friendly network. * On device: the app classifies using
Finding new uses for existing medicines can deliver treatments faster and cheaper—but today’s tools are fragmented and hard to use. ChatDRex is a conversation-based, no‑code system that helps clinicians and researchers predict drug repurposing candidates simply by asking in natural language. * Built on the NeDRex biomedical knowledge
AI
How do we know if an AI model is truly aligned with human preferences—helpful, honest, safe, and instruction-following? This paper explores a surprisingly effective shortcut: judge the judges. Instead of grading a model’s open-ended answers (which needs lots of human effort or very strong AI judges), the authors
Can “vibe coding” beat grad CS students? Researchers staged a coding tournament in a realistic logistics game: companies bid in auctions, then plan pickup-and-delivery routes under capacity limits. Agents must both bid strategically under uncertainty and optimize routes to maximize profit. What happened * Human-coded agents (from graduate students) dominated: the
Can your favorite AI solve a Bengali riddle? BengaliFig is a new challenge set that puts large language models to the test on figurative, culturally grounded reasoning in Bengali—a widely spoken but low-resourced language. The dataset packs 435 riddles from oral and literary traditions, each richly labeled across five
AI
Which AI better helps pharmacists-in-training? Researchers tested DeepSeek-R1 and ChatGPT-4o on 2,306 real, text-only questions (2017–2021) from China’s pharmacist licensure exam, scoring exact-answer accuracy in Chinese. * DeepSeek-R1: 90.0% accuracy vs. ChatGPT-4o: 76.1% (p<0.001) * Advantages held across units, especially foundational and clinical synthesis
AI used in healthcare, cars, and finance must be trustworthy. Accuracy alone can’t show when a model is unsure or under attack. Meet PaTAS — a parallel "trust meter" for neural networks built on Subjective Logic. * Runs alongside normal model math with special Trust Nodes and Trust Functions.
AudioAI
AI that pulls the vocals out—fast Ever wished you could solo a singer from any track without artifacts? This research shows how, using a latent diffusion model that separates vocals from full mixes. * Efficient: Generates in a compact audio latent space, then decodes to sound—speeding up training and
AI
Can AI think creatively? Large language models are great at step-by-step logic, but real-world breakthroughs need more than routine problem-solving. This paper proposes a creative reasoning framework, rooted in cognitive science, and turns it into practice with "Universe of Thoughts" (UoT): methods that help LLMs search wider and
Why this matters AI agents that browse the web can be tricked by malicious webpages—a tactic called prompt injection. Instead of just spitting out wrong text, these attacks can push agents to take risky real-world actions (like misfiling forms or sending messages). BrowseSafe builds a realistic benchmark of sneaky
AudioAI
Ever wanted studio‑clean vocals from any song? This research introduces a generative system that separates singing voices from full mixes using a latent diffusion model. How it works * Generates audio in a compact latent space, then decodes it back to sound—making training and inference efficient. * Trained only on
LLMs are great at step-by-step "chain-of-thought" logic, but real breakthroughs need creative reasoning. This paper introduces Universe of Thoughts (UoT): a framework, inspired by cognitive science, that teaches AI to explore many idea paths—not just the obvious ones. * Combinational: mix existing ideas in novel ways. * Exploratory: push