SETA: Scaling Environments for Terminal Agents
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New papers, breakthroughs and academic AI research
Right Answers, Costly Models: The Efficiency Gap in LLM-based Optimization Modeling
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K2P: Label-Free Knowledge to Prompt Distillation
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When Trees Are Not Enough: Learning Mixed-Topology Feature Graphs with Adaptive Graph Sparse Autoencoders
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Learning to Explain While Planning: Rule-Aligned Diffusion Planning for Autonomous Driving
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DashVMC: Real-Time Discrete World Model Control in Geometry Dash
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Replay on Demand: An Emergent Curriculum for Balancing Adaptation and Forgetting in Continued Pretraining
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VisualNeedle: Benchmarking Active Visual Search in Information-Dense Scenes
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VERA: Verifiable Feasibility Representations with Counterfactual Credit for Constrained Multi-Agent Control
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Better Behavioral Prediction, More Faithful Model Ablations? Evidence from Sequential Choice
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A helps B while B hurts A: directed transfer in instruction-tuning mixture
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Gromov-Wasserstein Distillation for Inductive Multi-View Embedding
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