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  1. Self-Induced Outcome Potential: Turn-Level Credit Assignment for Agents without Verifiers

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  2. Conceptors for Semantic Steering

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  3. Why Expert Alignment Is Hard: Evidence from Subjective Evaluation

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  4. Why Geometric Continuity Emerges in Deep Neural Networks: Residual Connections and Rotational Symmetry Breaking

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  5. Adapting Large Language Models to a Low-Resource Agglutinative Language: A Comparative Study of LoRA and QLoRA for Bashkir

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  6. UFAL-CUNI at SemEval-2026 Task 11: An Efficient Modular Neuro-symbolic Method for Syllogistic Reasoning

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  7. Unintended Negative Impacts of Promotional Language in Patent Evaluation

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  8. Reinforcement Learning for Compositional Generalization with Outcome-Level Optimization

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  9. Rethinking Local Learning: A Cheaper and Faster Recipe for LLM Post-Training

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  10. Self-Attention as Transport: Limits of Symmetric Spectral Diagnostics

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  11. EMO: Pretraining Mixture of Experts for Emergent Modularity

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  12. Beyond Negative Rollouts: Positive-Only Policy Optimization with Implicit Negative Gradients

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  13. StraTA: Incentivizing Agentic Reinforcement Learning with Strategic Trajectory Abstraction

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  14. Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key

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  15. Cited but Not Verified: Parsing and Evaluating Source Attribution in LLM Deep Research Agents

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  16. Parser agreement and disagreement in L2 Korean UD: Implications for human-in-the-loop annotation

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  17. MASPO: Joint Prompt Optimization for LLM-based Multi-Agent Systems

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  18. Algospeak, Hiding in the Open: The Trade-off Between Legible Meaning and Detection Avoidance

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  19. SkillOS: Learning Skill Curation for Self-Evolving Agents

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  20. Automated Clinical Report Generation for Remote Cognitive Remediation: Comparing Knowledge-Engineered Templates and LLMs in Low-Resource Settings

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