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Evolutionary Optimization of Model Merging Recipes
Paper • 2403.13187 • Published • 50 -
Model Stock: All we need is just a few fine-tuned models
Paper • 2403.19522 • Published • 10 -
Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models
Paper • 2405.01535 • Published • 119
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Collections including paper arxiv:2403.13187
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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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LoRA+: Efficient Low Rank Adaptation of Large Models
Paper • 2402.12354 • Published • 6 -
The FinBen: An Holistic Financial Benchmark for Large Language Models
Paper • 2402.12659 • Published • 17 -
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization
Paper • 2402.13249 • Published • 11 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 66
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LLM Augmented LLMs: Expanding Capabilities through Composition
Paper • 2401.02412 • Published • 36 -
Generative Representational Instruction Tuning
Paper • 2402.09906 • Published • 53 -
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
Paper • 2305.02301 • Published • 2 -
Evolutionary Optimization of Model Merging Recipes
Paper • 2403.13187 • Published • 50
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LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens
Paper • 2402.13753 • Published • 114 -
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
Paper • 2403.09629 • Published • 75 -
Larimar: Large Language Models with Episodic Memory Control
Paper • 2403.11901 • Published • 32 -
Evolutionary Optimization of Model Merging Recipes
Paper • 2403.13187 • Published • 50
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PLaMo-100B: A Ground-Up Language Model Designed for Japanese Proficiency
Paper • 2410.07563 • Published • 2 -
LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs
Paper • 2407.03963 • Published • 15 -
Tagengo: A Multilingual Chat Dataset
Paper • 2405.12612 • Published • 3 -
Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing Japanese Language Capabilities
Paper • 2404.17790 • Published • 5
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Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 52 -
Simple linear attention language models balance the recall-throughput tradeoff
Paper • 2402.18668 • Published • 18 -
ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition
Paper • 2402.15220 • Published • 19 -
Linear Transformers are Versatile In-Context Learners
Paper • 2402.14180 • Published • 6
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 145 -
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 50 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 82 -
OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models
Paper • 2402.01739 • Published • 26
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LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
Paper • 2309.12307 • Published • 88 -
NEFTune: Noisy Embeddings Improve Instruction Finetuning
Paper • 2310.05914 • Published • 14 -
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
Paper • 2312.15166 • Published • 56 -
Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon
Paper • 2401.03462 • Published • 27
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Multilingual Instruction Tuning With Just a Pinch of Multilinguality
Paper • 2401.01854 • Published • 10 -
LLaMA Beyond English: An Empirical Study on Language Capability Transfer
Paper • 2401.01055 • Published • 54 -
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
Paper • 2401.01325 • Published • 27 -
Improving Text Embeddings with Large Language Models
Paper • 2401.00368 • Published • 79