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In Search of Needles in a 10M Haystack: Recurrent Memory Finds What LLMs Miss
Paper • 2402.10790 • Published • 40 -
LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration
Paper • 2402.11550 • Published • 14 -
A Neural Conversational Model
Paper • 1506.05869 • Published • 2 -
Data Engineering for Scaling Language Models to 128K Context
Paper • 2402.10171 • Published • 21
Collections
Discover the best community collections!
Collections including paper arxiv:2404.06654
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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 21 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 78 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 140 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
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Extending LLMs' Context Window with 100 Samples
Paper • 2401.07004 • Published • 14 -
Extending Context Window of Large Language Models via Semantic Compression
Paper • 2312.09571 • Published • 12 -
RULER: What's the Real Context Size of Your Long-Context Language Models?
Paper • 2404.06654 • Published • 33
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VideoBooth: Diffusion-based Video Generation with Image Prompts
Paper • 2312.00777 • Published • 20 -
MotionCtrl: A Unified and Flexible Motion Controller for Video Generation
Paper • 2312.03641 • Published • 20 -
GenTron: Delving Deep into Diffusion Transformers for Image and Video Generation
Paper • 2312.04557 • Published • 12 -
DreamVideo: Composing Your Dream Videos with Customized Subject and Motion
Paper • 2312.04433 • Published • 9