Multi-Task Evolution for Zero-Shot Cross-Problem Generalization using LLMs
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Learning from Evolving Errors: Adaptive Iterative Repair for On-Policy Distillation
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Distributed Learning with Selective State Space Models: Architecture-Aware Convergence Analysis
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OPD Before RL: Warm-Starting Rubric-Based RL with On-Policy Distillation
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AIGS: Adaptive Incremental Gating System for Online Representation Learning in Non-Stationary Data Streams
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RMCW: A Deletion-Robust Watermark Based on Reed--Muller Codes for Language Models
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Mind the Refinement Gap: When Safe High-Level Robot Plans Produce Unsafe Executions
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Test-time Calibration Learning for Large Language Model Reasoning
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OuroReward: Sequential Reward Scheduling for Reinforcement Learning in Text-to-3D Generation
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From Patching to Pruning Visual Computation in Vision Language Models
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RAOA: Alternating-Operator Neural Computation with Programmable Radio Propagation
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To Explore The Strange New World Beyond Data Distribution: System Behavior, Causality Tax, and Non-causal Base Model
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