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Collections including paper arxiv:2310.16944
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A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity
Paper • 2401.01967 • Published -
Secrets of RLHF in Large Language Models Part I: PPO
Paper • 2307.04964 • Published • 28 -
Zephyr: Direct Distillation of LM Alignment
Paper • 2310.16944 • Published • 123 -
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
Paper • 2404.05961 • Published • 65
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PERL: Parameter Efficient Reinforcement Learning from Human Feedback
Paper • 2403.10704 • Published • 58 -
ReFT: Representation Finetuning for Language Models
Paper • 2404.03592 • Published • 92 -
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models
Paper • 2404.07973 • Published • 31 -
Zephyr: Direct Distillation of LM Alignment
Paper • 2310.16944 • Published • 123
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FinTral: A Family of GPT-4 Level Multimodal Financial Large Language Models
Paper • 2402.10986 • Published • 78 -
bigcode/starcoder2-15b
Text Generation • Updated • 28.2k • • 580 -
Zephyr: Direct Distillation of LM Alignment
Paper • 2310.16944 • Published • 123 -
mixedbread-ai/mxbai-rerank-large-v1
Text Classification • Updated • 24.7k • 118
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Metadata Might Make Language Models Better
Paper • 2211.10086 • Published • 4 -
Empirical Analysis of the Strengths and Weaknesses of PEFT Techniques for LLMs
Paper • 2304.14999 • Published • 2 -
PEFT for Speech: Unveiling Optimal Placement, Merging Strategies, and Ensemble Techniques
Paper • 2401.02122 • Published • 2 -
Zephyr: Direct Distillation of LM Alignment
Paper • 2310.16944 • Published • 123
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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