Algorithmically Aligned Neural Agglomerative Tree Construction
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New papers, breakthroughs and academic AI research
Lock-in EP: An In-Situ Training Algorithm for Oscillatory Hardware
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Trajectory-Retrieval Speculative Decoding: When Does a Model's Own History Help?
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Evaluating Escalation Signals for LLM Routing: Targets, Controls, and Five Ways to Fool Yourself
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Structuring MoE Expert Selection for Agentic Reinforcement Learning
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CueRator: Agentic Search for Symbolic Rules to Adapt Frozen Multimodal Encoders
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Multimodal Knowledge Distillation for Gastric Adenocarcinoma Classification from Whole-Slide Images
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CausalBind: Causal Modeling and Learning for Protein-Molecule Virtual Screening
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Towards Explainable Benchmarking for Data-driven Post-Wildfire Debris Flow Prediction
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From Fixed Keys to Readable Schemas: Small Language Models for Vehicle Agent Function Calls
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Wiki-Talkie: Multilingual Benchmarking of Persona-Based Agents on Real-World Discussions
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Revar3r: gauge-aware perturbation uncertainty for feed-forward 3d reconstruction
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