🏛️ The Computation & Language Crypt
cs.CL: Where Computation & Language papers rest without their code.
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Total Papers
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Why LLMs Hallucinate, and How to Get (Evidential) Closure: Perceptual, Intensional, and Extensional Learning for Faithful Natural Language Generation
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The Cartographer
Mathematical Language Models: A Survey
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Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models
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Personalized Jargon Identification for Enhanced Interdisciplinary Communication
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Aligning Neural Machine Translation Models: Human Feedback in Training and Inference
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CLIMB: Curriculum Learning for Infant-inspired Model Building
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Explain-then-Translate: An Analysis on Improving Program Translation with Self-generated Explanations
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Evaluation of GPT-4 for chest X-ray impression generation: A reader study on performance and perception
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There's no Data Like Better Data: Using QE Metrics for MT Data Filtering
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Chain-of-Thought Embeddings for Stance Detection on Social Media
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Words, Subwords, and Morphemes: What Really Matters in the Surprisal-Reading Time Relationship?
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BLP-2023 Task 2: Sentiment Analysis
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What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations
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CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks
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Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications
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Values, Ethics, Morals? On the Use of Moral Concepts in NLP Research
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Arabic Dialect Identification under Scrutiny: Limitations of Single-label Classification
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Efficient Long-Range Transformers: You Need to Attend More, but Not Necessarily at Every Layer
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FinEntity: Entity-level Sentiment Classification for Financial Texts
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Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer
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A Frustratingly Easy Plug-and-Play Detection-and-Reasoning Module for Chinese Spelling Check
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Diversity of Thought Improves Reasoning Abilities of LLMs
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