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  1. PairAlign: A Framework for Sequence Tokenization via Self-Alignment with Applications to Audio Tokenization

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  2. Long Context Pre-Training with Lighthouse Attention

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  3. Efficient Pre-Training with Token Superposition

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  4. STALE: Can LLM Agents Know When Their Memories Are No Longer Valid?

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  5. The Frequency Confound in Language-Model Surprisal and Metaphor Novelty

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  6. Cubit: Token Mixer with Kernel Ridge Regression

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  7. Litespark Inference on Consumer CPUs: Custom SIMD Kernels for Ternary Neural Networks

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  8. Patch-Effect Graph Kernels for LLM Interpretability

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  9. Towards Emotion Consistency Analysis of Large Language Models in Emotional Conversational Contexts

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  10. LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling

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  11. Conformal Path Reasoning: Trustworthy Knowledge Graph Question Answering via Path-Level Calibration

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  12. CA-SQL: Complexity-Aware Inference Time Reasoning for Text-to-SQL via Exploration and Compute Budget Allocation

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  13. Accurate and Efficient Statistical Testing for Word Semantic Breadth

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  14. Uncertainty-Aware Structured Data Extraction from Full CMR Reports via Distilled LLMs

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  15. Ask Early, Ask Late, Ask Right: When Does Clarification Timing Matter for Long-Horizon Agents?

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  16. How to Train Your Latent Diffusion Language Model Jointly With the Latent Space

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  17. How Value Induction Reshapes LLM Behaviour

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  18. Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation

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  19. CoCoReviewBench: A Completeness- and Correctness-Oriented Benchmark for AI Reviewers

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  20. Beyond "I cannot fulfill this request": Alleviating Rigid Rejection in LLMs via Label Enhancement

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