AI
Can AI write like Dickens with a single word? What if one token could cue an AI to channel Austen, Twain, or Melville? This study fine-tunes large language models so a minimal, single-token prompt triggers 19th-century novelist styles. * How they checked it: An AI detector trained on authentic sentences judged
AIResearch
Long, well-sourced answers are hard for AI to learn: most training rewards short, easily graded Q&A. This work introduces Reinforcement Learning with Evolving Rubrics (RLER) - grading guides that co-evolve with the model, so feedback stays aligned with what the model actually explores during multi-step research. Built with
AI
Smarter, faster explanations for what you’re recommended Big AI models can explain why you’re shown a product or movie—but wiring them directly into recommendation engines often slows everything down and muddles goals. "Prism" takes a cleaner route: it splits the system into two jobs. * Oracle:
AI
Large language models can sound confident even when they are wrong. This study pinpoints a sneaky culprit: spurious correlations — statistical shortcuts like linking certain surnames to a nationality. Models absorb these patterns from data and then answer with high certainty, even when the link is false. What the researchers found
AI
Meet your AI public-speaking coach Engineers need to explain complex ideas clearly, but personalized practice is hard to get. This research builds a multimodal AI trainer that analyzes both what you say and how you say it, then delivers targeted feedback at scale. * Verbal: pitch, loudness, pacing, intonation * Non-verbal: facial
AI
Can AI really make trading decisions in the messy, fast-changing real world? LiveTradeBench puts large language models to the test with live market data. * Live streams: Real-time prices and news—no offline backtests or leakage. * Portfolio view: Multi-asset allocation with built-in risk management. * Multi-market: U.S. stocks and Polymarket prediction
RAG
Which LLM wins at RAG Q&A? RAG (Retrieval-Augmented Generation) helps reduce hallucinations by grounding answers in source documents. This study tested five 7B-class models on computer science literature Q&A to compare accuracy and speed. * GPT‑3.5 + RAG answered both yes/no and long-form questions effectively.
AI
TL;DR We often know what we want, but struggle to tell AI. This “intention gap” wastes time. This paper reframes AI from a passive follower to a Socratic partner that asks the right questions. * What’s new? An agent called Nous learns an inquiry policy that maximizes information gained