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  1. R ESEARCH QA: Evaluating Scholarly Question Answering at Scale Across 75 Fields with Survey-Mined Questions and Rubrics

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  2. Anthropomimetic Uncertainty: What Verbalized Uncertainty in Language Models is Missing

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  3. CUS-QA: Local-Knowledge-Oriented Open-Ended Question Answering Dataset

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  4. LLA MADRS: Evaluating Open-Source LLMs on Real Clinical Interviews—To Reason or Not to Reason?

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  5. Grammatical Error Correction Evaluation by Optimally Transporting Edit Representation

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  6. KisMATH: Do LLMs Have Knowledge of Implicit Structures in Mathematical Reasoning?

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  7. LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations

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  8. From Benchmarks to Skills: Low-Rank Factors for LLM Evaluation

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  9. BP-LLM : Belief Propagation for Binary Feedback in Large Language Model Alignment

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  10. In Generative AI We (Dis)Trust? Computational Analysis of Trust and Distrust in Reddit Discussions

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  11. Psychometric Item Validation Using Virtual Respondents with Trait-Response Mediators

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  12. Bridging Auxiliary Constraints to Resolve Instruction Following in Large Reasoning Models

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  13. No Shortcuts to Culture: Indonesian Multi-hop Question Answering for Complex Cultural Understanding

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  14. Rewriting History: A Recipe for Interventional Analyses to Study Data Effects on Model Behavior

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  15. RELIC: Evaluating Complex Reasoning via the Recognition of Languages In-Context

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  16. Learning Speech Representations with Variational Predictive Coding

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  17. Fodor and Pylyshyn’s Systematicity Challenge Still Stands

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  18. Beyond Majority Voting: Agreement-Based Clustering to Model Annotator Perspectives in Subjective NLP Tasks

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  19. Preferences for Idiomatic Language are Acquired Slowly — and Forgotten Quickly: A Case Study on Swedish

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