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LAMBADA

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Showing 1–30 of 30 papers

TitleStatusHype
Training Compute-Optimal Large Language ModelsCode6
Spectra: Surprising Effectiveness of Pretraining Ternary Language Models at ScaleCode2
Scaling Language Models: Methods, Analysis & Insights from Training GopherCode2
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model ParallelismCode2
Beyond Autoregression: Fast LLMs via Self-Distillation Through TimeCode1
Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LMCode1
The LAMBADA dataset: Word prediction requiring a broad discourse contextCode1
Residual Shuffle-Exchange Networks for Fast Processing of Long SequencesCode1
Universal TransformersCode0
The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT ModelsCode0
Entity Tracking Improves Cloze-style Reading ComprehensionCode0
Neural Shuffle-Exchange Networks -- Sequence Processing in O(n log n) TimeCode0
Neural Shuffle-Exchange Networks - Sequence Processing in O(n log n) TimeCode0
Not Enough Data? Deep Learning to the Rescue!Code0
Inconsistencies in Masked Language ModelsCode0
Headless Language Models: Learning without Predicting with Contrastive Weight Tying—0
Neural Models for Reasoning over Multiple Mentions using Coreference—0
SymBa: Symbolic Backward Chaining for Structured Natural Language Reasoning—0
Broad Context Language Modeling as Reading Comprehension—0
Attending to Entities for Better Text Understanding—0
AdaGC: Improving Training Stability for Large Language Model Pretraining—0
PIXAR: Auto-Regressive Language Modeling in Pixel Space—0
E.T.: Entity-Transformers. Coreference augmented Neural Language Model for richer mention representations via Entity-Transformer blocks—0
CoreLM: Coreference-aware Language Model Fine-Tuning—0
Concise and Organized Perception Facilitates Reasoning in Large Language Models—0
Stay on topic with Classifier-Free Guidance—0
LAMBADA: Backward Chaining for Automated Reasoning in Natural Language—0
Leveraging Relaxed Equilibrium by Lazy Transition for Sequence Modeling—0
Linguistic Knowledge as Memory for Recurrent Neural Networks—0
Matryoshka Model Learning for Improved Elastic Student Models—0
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