AgentSchool: An LLM-Powered Multi-Agent Simulation for Education
AgentSchool is an LLM-powered multi-agent simulation platform designed to act as a "wind tunnel" for educational research.
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Understand new AI research with readable explanations and links to the original papers.
AgentSchool is an LLM-powered multi-agent simulation platform designed to act as a "wind tunnel" for educational research.
When Should Models Change Their Minds? Contextual Belief Management in Large Language Models Large language models are increasingly used for long, complex ta...
Robust and Generalizable Safety Steering for Text-to-Image Diffusion Transformers Diffusion Transformers (DiTs) have become the standard for high-quality ima...
Double-Edged Sword or Sharp Tool? Designing and Evaluating Triadic LLM-Teacher Collaboration for K-12 Writing at Scale This research explores how to effectiv...
Tiny but Trusted: Efficient Vision-Language Reasoning for Time-Series Anomaly Detection Recent advancements in Vision-Language Models (VLMs) have transformed...
From GPS Points to Travel Patterns: Flexible and Semantic Trajectory Generation with LLMs Urban trajectory data is essential for smart city planning and tran...
BioRefusalAudit: Auditing Biosecurity Refusal Depth Using General and Domain-Fine-Tuned Sparse Autoencoders This research investigates whether language model...
PokerSkill: LLMs Can Play Expert-Level Poker without Training or Solvers Poker is a notoriously difficult challenge for artificial intelligence, traditionall...
Evaluating interactive web code generated by AI has become a major challenge. Current methods often rely on rigid checklists or human-judged leaderboards, wh...
ProjectionBench: Evaluating Scientific Hypothesis Generation in LLMs Under Progressive Information Disclosure Scientific discovery is a creative and uncertai...
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