🏛️ The Computation & Language Crypt
cs.CL: Where Computation & Language papers rest without their code.
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Total Papers
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Reversed Attention: On The Gradient Descent Of Attention Layers In GPT
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LH-Mix: Local Hierarchy Correlation Guided Mixup over Hierarchical Prompt Tuning
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SubData: Bridging Heterogeneous Datasets to Enable Theory-Driven Evaluation of Political and Demographic Perspectives in LLMs
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Chained Tuning Leads to Biased Forgetting
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Application of Multimodal Large Language Models in Autonomous Driving
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BabyHGRN: Exploring RNNs for Sample-Efficient Training of Language Models
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Learning from Impairment: Leveraging Insights from Clinical Linguistics in Language Modelling Research
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Error-driven Data-efficient Large Multimodal Model Tuning
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SKETCH: Structured Knowledge Enhanced Text Comprehension for Holistic Retrieval
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Theoretical Proof that Auto-regressive Language Models Collapse when Real-world Data is a Finite Set
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LAMA-UT: Language Agnostic Multilingual ASR through Orthography Unification and Language-Specific Transliteration
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LLMs as mediators: Can they diagnose conflicts accurately?
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Do Large Language Models Advocate for Inferentialism?
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Learning Complex Word Embeddings in Classical and Quantum Spaces
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MetaRuleGPT: Recursive Numerical Reasoning of Language Models Trained with Simple Rules
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CEHA: A Dataset of Conflict Events in the Horn of Africa
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Refining Answer Distributions for Improved Large Language Model Reasoning
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Improving Explainability of Sentence-level Metrics via Edit-level Attribution for Grammatical Error Correction
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Learning from Noisy Labels via Self-Taught On-the-Fly Meta Loss Rescaling
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Train More Parameters But Mind Their Placement: Insights into Language Adaptation with PEFT
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FactEHR: A Dataset for Evaluating Factuality in Clinical Notes Using LLMs
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Making FETCH! Happen: Finding Emergent Dog Whistles Through Common Habitats
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