Quantifying Uncertainty in Large Reasoning Models
Discover robust methods to quantify and understand uncertainty in large reasoning models with theoretical guarantees and improved reliability.
ReSS: Enhanced Tabular Data Prediction with Symbolic Reasoning
Discover ReSS, a framework combining symbolic scaffolds and LLMs for accurate, interpretable tabular data prediction in healthcare and finance.
CONCORD: Privacy-Aware AI for Collaborative Context Recovery
Discover CONCORD, a privacy-focused AI framework enabling collaborative context recovery through secure assistant-to-assistant communication.
WebXSkill: Enhancing Autonomous Web Agents with Executable Skills
Discover WebXSkill, a framework that boosts autonomous web agents' efficiency by bridging the grounding gap with executable skills and natural language gui...
Efficient Earth Observation Satellite Scheduling with Unknown Constraints
Discover a novel approach to optimize Earth Observation satellite schedules under unknown constraints using Conservative Constraint Acquisition and Learn&O...