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Language Modeling

Papers

Showing 84768500 of 14182 papers

TitleStatusHype
Training Large Language Models Efficiently with Sparsity and Dataflow0
r-softmax: Generalized Softmax with Controllable Sparsity RateCode0
Prompt Learning for News RecommendationCode1
Teaching Large Language Models to Self-DebugCode0
Uncertainty-Aware Natural Language Inference with Stochastic Weight AveragingCode0
SELFormer: Molecular Representation Learning via SELFIES Language ModelsCode1
Interaction-Aware Prompting for Zero-Shot Spatio-Temporal Action DetectionCode1
Inference with Reference: Lossless Acceleration of Large Language ModelsCode1
Automated Reading Passage Generation with OpenAI's Large Language Model0
A Cheaper and Better Diffusion Language Model with Soft-Masked NoiseCode1
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language ModelCode1
GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation0
Decoder-Only or Encoder-Decoder? Interpreting Language Model as a Regularized Encoder-Decoder0
TemPL: A Novel Deep Learning Model for Zero-Shot Prediction of Protein Stability and Activity Based on Temperature-Guided Language Modeling0
From Retrieval to Generation: Efficient and Effective Entity Set Expansion0
Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI ModelsCode1
Towards Self-Explainability of Deep Neural Networks with Heatmap Captioning and Large-Language Models0
Revolutionizing Single Cell Analysis: The Power of Large Language Models for Cell Type Annotation0
Efficient OCR for Building a Diverse Digital HistoryCode1
Synthesize High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language ModelCode1
Unsupervised Improvement of Factual Knowledge in Language ModelsCode0
Using Language Models For Knowledge Acquisition in Natural Language Reasoning Problems0
Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation0
Dialogue-Contextualized Re-ranking for Medical History-Taking0
PEACH: Pre-Training Sequence-to-Sequence Multilingual Models for Translation with Semi-Supervised Pseudo-Parallel Document GenerationCode0
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