Calibrated Answers About Randomized Trials From a 4-Billion-Parameter Open Model: A Registered Test and a License-Clean Release
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New papers, breakthroughs and academic AI research
Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models
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When to Remember, When to Abstain: Category-Conditioned Retention for Reliable Agent Memory
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Hierarchy-GBP: Accelerating Factor Graph Inference via Abstraction and Recovery
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Honesty over Accuracy: Trustworthy Language Models through Reinforced Hesitation
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EPOCH: Reliable Discovery through Evidence-Governed Search
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State-Aware Interaction MIL for Rare Joint Molecular Phenotype Prediction in Colorectal Cancer and Lung Adenocarcinoma
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Aligning LLMs with Biomedical Knowledge using Balanced Fine-Tuning
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GAMEGO: Training Game-Dev Agents with Synthetic Trajectories Anchored in Real-World Assets
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A Footprint-Aware, High-Resolution Approach for Carbon Flux Prediction Across Diverse Ecosystems
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Small Language Models for Smart Data Model Classification at the Edge: A Cost-Aware Hybrid Approach
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Learning to Remember: Distilling Memory Retention for Compact Recurrent Neural Networks
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