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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
Residual Shuffle-Exchange Networks for Fast Processing of Long SequencesCode1
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
Beyond Autoregression: Fast LLMs via Self-Distillation Through TimeCode1
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
Neural Models for Reasoning over Multiple Mentions using Coreference—0
AdaGC: Improving Training Stability for Large Language Model Pretraining—0
Attending to Entities for Better Text Understanding—0
Broad Context Language Modeling as Reading Comprehension—0
Concise and Organized Perception Facilitates Reasoning in Large Language Models—0
CoreLM: Coreference-aware Language Model Fine-Tuning—0
E.T.: Entity-Transformers. Coreference augmented Neural Language Model for richer mention representations via Entity-Transformer blocks—0
Headless Language Models: Learning without Predicting with Contrastive Weight Tying—0
LAMBADA: Backward Chaining for Automated Reasoning in Natural Language—0
PIXAR: Auto-Regressive Language Modeling in Pixel Space—0
Stay on topic with Classifier-Free Guidance—0
SymBa: Symbolic Backward Chaining for Structured Natural Language Reasoning—0
Neural Shuffle-Exchange Networks - Sequence Processing in O(n log n) TimeCode0
Neural Shuffle-Exchange Networks -- Sequence Processing in O(n log n) TimeCode0
The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT ModelsCode0
Universal TransformersCode0
Inconsistencies in Masked Language ModelsCode0
Entity Tracking Improves Cloze-style Reading ComprehensionCode0
Not Enough Data? Deep Learning to the Rescue!Code0
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