🏛️ The Computation & Language Crypt
cs.CL: Where Computation & Language papers rest without their code.
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Total Papers
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Element2Vec: Build Chemical Element Representation from Text for Property Prediction
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LLM one-shot style transfer for Authorship Attribution and Verification
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Mismatch Aware Guidance for Robust Emotion Control in Auto-Regressive TTS Models
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Higher Satisfaction, Lower Cost: A Technical Report on How LLMs Revolutionize Meituan's Intelligent Interaction Systems
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In-Distribution Steering: Balancing Control and Coherence in Language Model Generation
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Putting on the Thinking Hats: A Survey on Chain of Thought Fine-tuning from the Perspective of Human Reasoning Mechanism
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RAGCap-Bench: Benchmarking Capabilities of LLMs in Agentic Retrieval Augmented Generation Systems
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GatePro: Parameter-Free Expert Selection Optimization for Mixture-of-Experts Models
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LLM Prompt Duel Optimizer: Efficient Label-Free Prompt Optimization
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A Multilingual, Large-Scale Study of the Interplay between LLM Safeguards, Personalisation, and Disinformation
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Investigating Political and Demographic Associations in Large Language Models Through Moral Foundations Theory
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Who's Asking? Evaluating LLM Robustness to Inquiry Personas in Factual Question Answering
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Attribution Quality in AI-Generated Content:Benchmarking Style Embeddings and LLM Judges
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Dr.LLM: Dynamic Layer Routing in LLMs
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Generation Space Size: Understanding and Calibrating Open-Endedness of LLM Generations
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Reasoning Pattern Matters: Learning to Reason without Human Rationales
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COSTAR-A: A prompting framework for enhancing Large Language Model performance on Point-of-View questions
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VISaGE: Understanding Visual Generics and Exceptions
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BoN Appetit Team at LeWiDi-2025: Best-of-N Test-time Scaling Can Not Stomach Annotation Disagreements (Yet)
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When Personalization Tricks Detectors: The Feature-Inversion Trap in Machine-Generated Text Detection
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Community size rather than grammatical complexity better predicts Large Language Model accuracy in a novel Wug Test
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PRoH: Dynamic Planning and Reasoning over Knowledge Hypergraphs for Retrieval-Augmented Generation
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