Scaling Instruction-Finetuned Language Models
Paper
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2210.11416
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Published
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5
Papers
Papers I find interesting
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Mamba: Linear-Time Sequence Modeling with Selective State Spaces
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Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
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Yi: Open Foundation Models by 01.AI
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Common 7B Language Models Already Possess Strong Math Capabilities
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GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
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ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
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SaulLM-7B: A pioneering Large Language Model for Law
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Finetuned Multimodal Language Models Are High-Quality Image-Text Data Filters
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Resonance RoPE: Improving Context Length Generalization of Large Language Models
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StarCoder 2 and The Stack v2: The Next Generation
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Simple linear attention language models balance the recall-throughput tradeoff
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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
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When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
Paper • 2402.17193 • Published • 23 -
Towards Optimal Learning of Language Models
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Nemotron-4 15B Technical Report
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FuseChat: Knowledge Fusion of Chat Models
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MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs
Paper • 2402.15627 • Published • 31 -
StructLM: Towards Building Generalist Models for Structured Knowledge Grounding
Paper • 2402.16671 • Published • 26 -
Do Large Language Models Latently Perform Multi-Hop Reasoning?
Paper • 2402.16837 • Published • 23 -
Watermarking Makes Language Models Radioactive
Paper • 2402.14904 • Published • 21 -
GPTVQ: The Blessing of Dimensionality for LLM Quantization
Paper • 2402.15319 • Published • 19 -
Gemma: Open Models Based on Gemini Research and Technology
Paper • 2403.08295 • Published • 41 -
MoAI: Mixture of All Intelligence for Large Language and Vision Models
Paper • 2403.07508 • Published • 69 -
Simple and Scalable Strategies to Continually Pre-train Large Language Models
Paper • 2403.08763 • Published • 48 -
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM
Paper • 2403.07816 • Published • 37 -
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
Paper • 2403.09611 • Published • 119 -
PERL: Parameter Efficient Reinforcement Learning from Human Feedback
Paper • 2403.10704 • Published • 54 -
Uni-SMART: Universal Science Multimodal Analysis and Research Transformer
Paper • 2403.10301 • Published • 50