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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 22 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 82 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 145 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
Collections
Discover the best community collections!
Collections including paper arxiv:2406.02528
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Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models
Paper • 2404.18796 • Published • 68 -
KAN: Kolmogorov-Arnold Networks
Paper • 2404.19756 • Published • 108 -
The Road Less Scheduled
Paper • 2405.15682 • Published • 21 -
Your Transformer is Secretly Linear
Paper • 2405.12250 • Published • 149
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MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
Paper • 2403.09611 • Published • 125 -
Evolutionary Optimization of Model Merging Recipes
Paper • 2403.13187 • Published • 50 -
MobileVLM V2: Faster and Stronger Baseline for Vision Language Model
Paper • 2402.03766 • Published • 13 -
LLM Agent Operating System
Paper • 2403.16971 • Published • 65
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Text-to-3D using Gaussian Splatting
Paper • 2309.16585 • Published • 31 -
FP8-LM: Training FP8 Large Language Models
Paper • 2310.18313 • Published • 33 -
Zephyr: Direct Distillation of LM Alignment
Paper • 2310.16944 • Published • 123 -
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
Paper • 2312.06585 • Published • 28