AI
MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
Researchers have developed a new framework called MAVEN-T for real-time multi-agent trajectory predi...
AI
Revisiting the Effectiveness of LLM Pruning for Test-Time Scaling
Researchers have investigated the effect of pruning on large language models (LLMs) used for reasoni...
AI
FinSTaR: Towards Financial Reasoning with Time Series Reasoning Models
Researchers propose a new approach to financial reasoning using time series models. They create a ta...
AI
Reconciling Consistency-Based Diagnosis with Actual-Causality-Based Explanations
Researchers are exploring connections between Consistency-Based Diagnosis (CBD) and Actual-Causality...
AI
CogniFold: Always-On Proactive Memory via Cognitive Folding
Researchers have developed CogniFold, a brain-inspired memory system for autonom...
AI
GIM: Evaluating models via tasks that integrate multiple cognitive domains
Researchers have introduced a new benchmark called the Grounded Integration Meas...
AI
TO-Agents: A Multi-Agent AI Framework for Subjective Preference-Guided Topology Optimization
Researchers have developed a framework called TO-Agents that connects human desi...
AI
Designing Benchmarks for Knowledge Work
Researchers propose a new framework for designing benchmarks for AI systems that...