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Sep 3
Sep 3
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Collections including paper arxiv:2406.11813
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Jun 18
Jun 18
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Jun 18
Jun 18
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Sep 4
Sep 4
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How Do Large Language Models Acquire Factual Knowledge During Pretraining?
Paper • 2406.11813 • Published • 30 -
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries
Paper • 2406.12824 • Published • 20 -
Tokenization Falling Short: The Curse of Tokenization
Paper • 2406.11687 • Published • 15 -
Iterative Length-Regularized Direct Preference Optimization: A Case Study on Improving 7B Language Models to GPT-4 Level
Paper • 2406.11817 • Published • 13
Collection by
about 14 hours ago
about 14 hours ago
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Large Language Model Unlearning via Embedding-Corrupted Prompts
Paper • 2406.07933 • Published • 7 -
Block Transformer: Global-to-Local Language Modeling for Fast Inference
Paper • 2406.02657 • Published • 36 -
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning
Paper • 2406.12050 • Published • 18 -
How Do Large Language Models Acquire Factual Knowledge During Pretraining?
Paper • 2406.11813 • Published • 30
Collection by
Sep 5
Sep 5
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MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels
Paper • 2405.07526 • Published • 17 -
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach
Paper • 2405.15613 • Published • 13 -
A Touch, Vision, and Language Dataset for Multimodal Alignment
Paper • 2402.13232 • Published • 13 -
How Do Large Language Models Acquire Factual Knowledge During Pretraining?
Paper • 2406.11813 • Published • 30
Collection by
Jun 18
Jun 18
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Jul 23
Jul 23
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Iterative Reasoning Preference Optimization
Paper • 2404.19733 • Published • 47 -
Better & Faster Large Language Models via Multi-token Prediction
Paper • 2404.19737 • Published • 73 -
ORPO: Monolithic Preference Optimization without Reference Model
Paper • 2403.07691 • Published • 61 -
KAN: Kolmogorov-Arnold Networks
Paper • 2404.19756 • Published • 108
Collection by
16 days ago
16 days ago
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Rho-1: Not All Tokens Are What You Need
Paper • 2404.07965 • Published • 84 -
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time
Paper • 2404.10667 • Published • 16 -
Instruction-tuned Language Models are Better Knowledge Learners
Paper • 2402.12847 • Published • 24 -
DoRA: Weight-Decomposed Low-Rank Adaptation
Paper • 2402.09353 • Published • 26
Collection by
5 days ago
5 days ago
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A Language Model's Guide Through Latent Space
Paper • 2402.14433 • Published • 1 -
The Hidden Space of Transformer Language Adapters
Paper • 2402.13137 • Published -
Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models
Paper • 2402.16438 • Published -
AtP*: An efficient and scalable method for localizing LLM behaviour to components
Paper • 2403.00745 • Published • 11