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  1. Agentic-imodels: Evolving agentic interpretability tools via autoresearch

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  2. Natural Language Processing: A Comprehensive Practical Guide from Tokenisation to RLHF

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  3. TriBench-Ko: Evaluating LLM Risks in Judicial Workflows

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  4. Task Vector Geometry Underlies Dual Modes of Task Inference in Transformers

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  5. Benchmarking Parameter-Efficient Fine-Tuning of Large Language Models for Low-Resource Tajik Text Generation with the Tajik Web Corpus

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  6. Segmenting Human-LLM Co-authored Text via Change Point Detection

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  7. Rose-SQL: Role-State Evolution Guided Structured Reasoning for Multi-Turn Text-to-SQL

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  8. SAM-NER: Semantic Archetype Mediation for Zero-Shot Named Entity Recognition

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  9. SERE: Structural Example Retrieval for Enhancing LLMs in Event Causality Identification

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  10. A Comprehensive Analysis of Tokenization and Self-Supervised Learning in End-to-End Automatic Speech Recognition applied on French Language

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  11. Implicit Representations of Grammaticality in Language Models

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  12. MRI-Eval: A Tiered Benchmark for Evaluating LLM Performance on MRI Physics and GE Scanner Operations Knowledge

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  13. The First Token Knows: Single-Decode Confidence for Hallucination Detection

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  14. Beyond Semantics: An Evidential Reasoning-Aware Multi-View Learning Framework for Trustworthy Mental Health Prediction

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  15. Text Corpora as Concept Fields: Black-Box Hallucination and Novelty Measurement

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  16. Automatically Finding and Validating Unexpected Side-Effects of Interventions on Language Models

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  17. The Pinocchio Dimension: Phenomenality of Experience as the Primary Axis of LLM Psychometric Differences

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  18. The Impossibility Triangle of Long-Context Modeling

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  19. Detecting Hallucinations in Large Language Models via Internal Attention Divergence Signals

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  20. Misaligned by Reward: Socially Undesirable Preferences in LLMs

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