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Retrieval-aligned Tabular Foundation Models Enable Robust Clinical Risk Prediction in Electronic Health Records Under Real-world Constraints

Researchers have developed a new framework called AWARE that improves the accuracy of clinical risk ...

Aug 25 🗳️ 0
AI

Activation Steering for Aligned Open-ended Generation without Sacrificing Coherence

Researchers have developed a method called activation steering to prevent language models from gener...

Aug 25 🗳️ 0
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...

Aug 25 🗳️ 0
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...

Aug 25 🗳️ 0
AI

FinSTaR: Towards Financial Reasoning with Time Series Reasoning Models

Researchers propose a new approach to financial reasoning using time series mode...

AI

Reconciling Consistency-Based Diagnosis with Actual-Causality-Based Explanations

Researchers are exploring connections between Consistency-Based Diagnosis (CBD) ...

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...

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