🏛️ The Computation & Language Crypt
cs.CL: Where Computation & Language papers rest without their code.
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A Toolbox for Improving Evolutionary Prompt Search
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Learn More, Forget Less: A Gradient-Aware Data Selection Approach for LLM
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SDS KoPub VDR: A Benchmark Dataset for Visual Document Retrieval in Korean Public Documents
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GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models
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Are language models aware of the road not taken? Token-level uncertainty and hidden state dynamics
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CantoASR: Prosody-Aware ASR-LALM Collaboration for Low-Resource Cantonese
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Batch Prompting Suppresses Overthinking Reasoning Under Constraint: How Batch Prompting Suppresses Overthinking in Reasoning Models
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The truth is no diaper: Human and AI-generated associations to emotional words
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STARS: Segment-level Token Alignment with Rejection Sampling in Large Language Models
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AILA--First Experiments with Localist Language Models
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Kastor: Fine-tuned Small Language Models for Shape-based Active Relation Extraction
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Segmentation Beyond Defaults: Asymmetrical Byte Pair Encoding for Optimal Machine Translation Performance
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Large Language Models for Scientific Idea Generation: A Creativity-Centered Survey
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Control Barrier Function for Aligning Large Language Models
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UTF-8 Plumbing: Byte-level Tokenizers Unavoidably Enable LLMs to Generate Ill-formed UTF-8
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Bayesian Evaluation of Large Language Model Behavior
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AI Diffusion in Low Resource Language Countries
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Smart-Hiring: An Explainable end-to-end Pipeline for CV Information Extraction and Job Matching
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Prompting for Policy: Forecasting Macroeconomic Scenarios with Synthetic LLM Personas
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LTD-Bench: Evaluating Large Language Models by Letting Them Draw
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Sample-Efficient Language Modeling with Linear Attention and Lightweight Enhancements
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Plan-and-Write: Structure-Guided Length Control for LLMs without Model Retraining
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