A Footprint-Aware, High-Resolution Approach for Carbon Flux Prediction Across Diverse Ecosystems
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New papers, breakthroughs and academic AI research
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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DART-ES: Difficulty-Aware Reweighting and Targeted Replay for Fine-Tuning LLMs with Evolution Strategies
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FluidPD: In-Place Elasticity for SLO-Aware Prefill-Decode Disaggregated LLM Serving
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Learning to Decide, Not to Reason: Parameter-Efficient Decision Operators via Low-Rank Activation Steering
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Mask-Guided KV Cache Eviction in Block Diffusion Language Models
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Scalable Decision Making for Games of Imperfect Information
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The Universal Weight Subspace Hypothesis
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TIDE 2.0: an open, model-agnostic engine for keyed de-identification of clinical notes
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RadOnc-Agent: An LLM-Orchestrated Framework for AI Workflows Across the Radiotherapy Care Pathway
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CuratorMAS: Automating Dataset Curation via Multi-Agent Orchestration
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