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🏛️ The Computation & Language Crypt
cs.CL: Where Computation & Language papers rest without their code.
39803
Total Papers
26069
No Code
1086
Twilight
12648
Has Code
31.8%
Survival Rate
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PRISM: A Methodology for Auditing Biases in Large Language Models
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CogSteer: Cognition-Inspired Selective Layer Intervention for Efficiently Steering Large Language Models
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The Cartographer
Responsible Multilingual Large Language Models: A Survey of Development, Applications, and Societal Impact
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Context-aware Prompt Tuning: Advancing In-Context Learning with Adversarial Methods
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Self-calibration for Language Model Quantization and Pruning
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Science Out of Its Ivory Tower: Improving Accessibility with Reinforcement Learning
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Analyzing and Evaluating Correlation Measures in NLG Meta-Evaluation
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Forewarned is Forearmed: Leveraging LLMs for Data Synthesis through Failure-Inducing Exploration
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RKadiyala at SemEval-2024 Task 8: Black-Box Word-Level Text Boundary Detection in Partially Machine Generated Texts
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Adsorb-Agent: Autonomous Identification of Stable Adsorption Configurations via Large Language Model Agent
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AUTALIC: A Dataset for Anti-AUTistic Ableist Language In Context
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Exploring Pretraining via Active Forgetting for Improving Cross Lingual Transfer for Decoder Language Models
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Exploring Continual Fine-Tuning for Enhancing Language Ability in Large Language Model
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A Novel Interpretability Metric for Explaining Bias in Language Models: Applications on Multilingual Models from Southeast Asia
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Fine-tuning foundational models to code diagnoses from veterinary health records
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Isolated Causal Effects of Natural Language
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SudoLM: Learning Access Control of Parametric Knowledge with Authorization Alignment
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Large Language Models Are Overparameterized Text Encoders
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Unveiling Large Language Models Generated Texts: A Multi-Level Fine-Grained Detection Framework
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Towards Faithful Natural Language Explanations: A Study Using Activation Patching in Large Language Models
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Are LLMs Models of Distributional Semantics? A Case Study on Quantifiers
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Eliciting Uncertainty in Chain-of-Thought to Mitigate Bias against Forecasting Harmful User Behaviors
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