AI
EvoTS-Agent: A Self-Evolving LLM Agent for Financial Time Series Change Point Detection
Researchers have developed EvoTS-Agent, a self-evolving language model agent that can detect changes...
AI
Procedural Content Metageneration via Program Search and Continual Abstraction Discovery
Researchers have developed a method to generate procedural content, such as levels in video games, u...
AI
Towards Zero-Shot Task Transfer with Neurosymbolic World Models
Researchers propose a new type of world model that combines neural networks with symbolic components...
AI
Can Large Language Models Explain Flight Safety Events? A Prior-Guided Semantic LLM-based Approach
Researchers have developed a new method called FlightLLM to analyze flight safety events. The approa...
AI
StagedWorkspace: A Versioned Workspace for Knowledge-Work Agents
Researchers have proposed StagedWorkspace, a versioned workspace for knowledge-w...
AI
HLSR: Hybrid Live Forecast Selective Dynamic Vehicle Rerouting for Real-Time Congestion Avoidance
Researchers propose a new framework called HLSR to reduce urban traffic congesti...
AI
Delegation Asymmetry in Agentic Recommender Systems: Measuring Two-Sided Receptivity in Online Dating
Researchers investigated the effectiveness of autonomous conversational agents i...
AI
On the Fragility of Self-Improving Agents: Variance, Task Order, and Underspecification
Researchers have re-evaluated memory-based self-improving agents that learn and ...