Weblica: Scalable Training for Visual Web Agents
Discover Weblica, a framework enabling scalable, reproducible training environments for visual web agents to master dynamic web navigation.
When Do Language Models Commit? Finite-Answer Theory
Explore when language models commit to answers with finite-answer theory, revealing key insights into AI decision-making and response stabilization.
Evolution of LLM Agent Memory: From Storage to Experience
Explore the evolution of memory mechanisms in LLM agents, from storage to experience, enabling advanced AI learning and adaptability.
CASCADE: Adaptive Learning for Large Language Models
Discover CASCADE, a framework enabling large language models to adapt and learn continually during deployment for improved AI performance.
Detecting Hidden Coalitions in Multi-Agent AI Systems
Explore a spectral diagnostic method to uncover hidden coalitions in multi-agent AI, enhancing safety and alignment through internal representation analysi...