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🏛️ The Computation & Language Crypt
cs.CL: Where Computation & Language papers rest without their code.
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12909
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32.2%
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Improving Graduate Outcomes by Identifying Skills Gaps and Recommending Courses Based on Career Interests
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Khmer Spellchecking: A Holistic Approach
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TARG: Training-Free Adaptive Retrieval Gating for Efficient RAG
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Predicate-Argument Structure Divergences in Chinese and English Parallel Sentences and their Impact on Language Transfer
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How Small Can You Go? Compact Language Models for On-Device Critical Error Detection in Machine Translation
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Assessing the Applicability of Natural Language Processing to Traditional Social Science Methodology: A Case Study in Identifying Strategic Signaling Patterns in Presidential Directives
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Contextual morphologically-guided tokenization for Latin encoder models
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Order Matters: Rethinking Prompt Construction in In-Context Learning
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SynClaimEval: A Framework for Evaluating the Utility of Synthetic Data in Long-Context Claim Verification
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BIG5-TPoT: Predicting BIG Five Personality Traits, Facets, and Items Through Targeted Preselection of Texts
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GSAP-ERE: Fine-Grained Scholarly Entity and Relation Extraction Focused on Machine Learning
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How Well Do LLMs Understand Tunisian Arabic?
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Spider4SSC & S2CLite: A text-to-multi-query-language dataset using lightweight ontology-agnostic SPARQL to Cypher parser
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Towards Explainable Khmer Polarity Classification
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C$^3$TG: Conflict-aware, Composite, and Collaborative Controlled Text Generation
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POTSA: A Cross-Lingual Speech Alignment Framework for Low Resource Speech-to-Text Translation
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Toward Honest Language Models for Deductive Reasoning
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The Learning Dynamics of Subword Segmentation for Morphologically Diverse Languages
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Context is Enough: Empirical Validation of $\textit{Sequentiality}$ on Essays
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A Hybrid Search for Complex Table Question Answering in Securities Report
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Towards Hyper-Efficient RAG Systems in VecDBs: Distributed Parallel Multi-Resolution Vector Search
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$π$-Attention: Periodic Sparse Transformers for Efficient Long-Context Modeling
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