Quantifying the Value of Constructive Induction, Knowledge, and Noise Filtering on Inductive Learning
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KV$^2$: A Self-Refining KV Cache
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Toward SLM-based agentic task-tool intent matching
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Refinement Buys Intelligibility, Search Buys Identity: What Test-Time Compute Buys in Masked-Diffusion TTS
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Multilingual GSM-Symbolic: What determines capability transfer across languages?
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Lightweight, Rubric-Guided Trajectory Evaluation for Production AI Agents
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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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