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Can large language models explore in-context?
Paper • 2403.15371 • Published • 32 -
Advancing LLM Reasoning Generalists with Preference Trees
Paper • 2404.02078 • Published • 44 -
Long-context LLMs Struggle with Long In-context Learning
Paper • 2404.02060 • Published • 36 -
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Paper • 2404.03715 • Published • 61
Collections
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Collections including paper arxiv:2409.04109
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Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis
Paper • 2402.14797 • Published • 20 -
Subobject-level Image Tokenization
Paper • 2402.14327 • Published • 17 -
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Paper • 2402.14905 • Published • 128 -
GPTVQ: The Blessing of Dimensionality for LLM Quantization
Paper • 2402.15319 • Published • 19