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🏛️ The Computation & Language Crypt
cs.CL: Where Computation & Language papers rest without their code.
38562
Total Papers
26069
No Code
1086
Twilight
11407
Has Code
29.6%
Survival Rate
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Bloom Library: Multimodal Datasets in 300+ Languages for a Variety of Downstream Tasks
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LLMEffiChecker: Understanding and Testing Efficiency Degradation of Large Language Models
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Uncontrolled Lexical Exposure Leads to Overestimation of Compositional Generalization in Pretrained Models
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A Measure-Theoretic Characterization of Tight Language Models
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Leveraging Natural Language Processing to Augment Structured Social Determinants of Health Data in the Electronic Health Record
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An Effective Deployment of Contrastive Learning in Multi-label Text Classification
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On the Effect of Anticipation on Reading Times
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Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction
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The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks
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Fine-tuned Sentiment Analysis of COVID-19 Vaccine-Related Social Media Data: Comparative Study
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DABERT: Dual Attention Enhanced BERT for Semantic Matching
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Chain of Explanation: New Prompting Method to Generate Higher Quality Natural Language Explanation for Implicit Hate Speech
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GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization
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Deep versus Wide: An Analysis of Student Architectures for Task-Agnostic Knowledge Distillation of Self-Supervised Speech Models
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Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation
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Human and LLM Biases in Hate Speech Annotations: A Socio-Demographic Analysis of Annotators and Targets
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Properties and Challenges of LLM-Generated Explanations
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Evaluating Large Language Models in Analysing Classroom Dialogue
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Fine-tuning Large Enterprise Language Models via Ontological Reasoning
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Contextual Temperature for Language Modeling
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SMART: A Situation Model for Algebra Story Problems via Attributed Grammar
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Adaptive Bi-directional Attention: Exploring Multi-Granularity Representations for Machine Reading Comprehension
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