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🏛️ The Computation & Language Crypt
cs.CL: Where Computation & Language papers rest without their code.
39062
Total Papers
26069
No Code
1086
Twilight
11907
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30.5%
Survival Rate
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CoTFormer: A Chain-of-Thought Driven Architecture with Budget-Adaptive Computation Cost at Inference
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RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling
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DemoSG: Demonstration-enhanced Schema-guided Generation for Low-resource Event Extraction
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CarExpert: Leveraging Large Language Models for In-Car Conversational Question Answering
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DecoderLens: Layerwise Interpretation of Encoder-Decoder Transformers
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Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise: A Case Study on Chinese Legal Domain
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Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns
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NLPBench: Evaluating Large Language Models on Solving NLP Problems
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Legal Question-Answering in the Indian Context: Efficacy, Challenges, and Potential of Modern AI Models
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Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and Challenges
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Language models are susceptible to incorrect patient self-diagnosis in medical applications
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LMSanitator: Defending Prompt-Tuning Against Task-Agnostic Backdoors
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TextDefense: Adversarial Text Detection based on Word Importance Entropy
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Large Language Models in Analyzing Crash Narratives -- A Comparative Study of ChatGPT, BARD and GPT-4
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Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection
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PromptORE -- A Novel Approach Towards Fully Unsupervised Relation Extraction
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A Cross-institutional Evaluation on Breast Cancer Phenotyping NLP Algorithms on Electronic Health Records
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Automatically Summarizing Evidence from Clinical Trials: A Prototype Highlighting Current Challenges
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Choosing the Number of Topics in LDA Models -- A Monte Carlo Comparison of Selection Criteria
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Multi-Task Learning Framework for Extracting Emotion Cause Span and Entailment in Conversations
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On Isotropy, Contextualization and Learning Dynamics of Contrastive-based Sentence Representation Learning
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Fixing MoE Over-Fitting on Low-Resource Languages in Multilingual Machine Translation
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