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🏛️ The Computation & Language Crypt
cs.CL: Where Computation & Language papers rest without their code.
38833
Total Papers
26069
No Code
1086
Twilight
11678
Has Code
30.1%
Survival Rate
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DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
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Investigating Implicit Bias in Large Language Models: A Large-Scale Study of Over 50 LLMs
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Thought2Text: Text Generation from EEG Signal using Large Language Models (LLMs)
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Holistic Automated Red Teaming for Large Language Models through Top-Down Test Case Generation and Multi-turn Interaction
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Preemptive Answer "Attacks" on Chain-of-Thought Reasoning
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Know Your Audience: Do LLMs Adapt to Different Age and Education Levels?
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ChatGPT as a Math Questioner? Evaluating ChatGPT on Generating Pre-university Math Questions
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AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph
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An Integrative Survey on Mental Health Conversational Agents to Bridge Computer Science and Medical Perspectives
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Which Prompts Make The Difference? Data Prioritization For Efficient Human LLM Evaluation
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Do Text Simplification Systems Preserve Meaning? A Human Evaluation via Reading Comprehension
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Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning
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JWSign: A Highly Multilingual Corpus of Bible Translations for more Diversity in Sign Language Processing
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Structural Priming Demonstrates Abstract Grammatical Representations in Multilingual Language Models
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In-context Learning Generalizes, But Not Always Robustly: The Case of Syntax
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SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data
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LLMs-Healthcare : Current Applications and Challenges of Large Language Models in various Medical Specialties
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Modeling Legal Reasoning: LM Annotation at the Edge of Human Agreement
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Customising General Large Language Models for Specialised Emotion Recognition Tasks
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Pretraining Language Models with Text-Attributed Heterogeneous Graphs
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Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation
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Short text classification with machine learning in the social sciences: The case of climate change on Twitter
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