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Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Paper • 2309.08532 • Published • 53 -
A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale
Paper • 2309.06497 • Published • 7 -
MindAgent: Emergent Gaming Interaction
Paper • 2309.09971 • Published • 13 -
CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages
Paper • 2309.09400 • Published • 85
Collections
Discover the best community collections!
Collections including paper arxiv:2309.08532
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Agents: An Open-source Framework for Autonomous Language Agents
Paper • 2309.07870 • Published • 42 -
Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts
Paper • 2309.07430 • Published • 27 -
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Paper • 2309.08532 • Published • 53 -
Investigating Answerability of LLMs for Long-Form Question Answering
Paper • 2309.08210 • Published • 14
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Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 247 -
Large-Scale Automatic Audiobook Creation
Paper • 2309.03926 • Published • 55 -
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting
Paper • 2309.04269 • Published • 33 -
Textbooks Are All You Need II: phi-1.5 technical report
Paper • 2309.05463 • Published • 88
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Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Paper • 2309.08532 • Published • 53 -
Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective
Paper • 2506.17930 • Published • 19 -
No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping
Paper • 2509.21880 • Published • 52
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Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Paper • 2309.08532 • Published • 53 -
Mixtral of Experts
Paper • 2401.04088 • Published • 160 -
How faithful are RAG models? Quantifying the tug-of-war between RAG and LLMs' internal prior
Paper • 2404.10198 • Published • 8 -
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
Paper • 2405.12130 • Published • 50
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Efficient Memory Management for Large Language Model Serving with PagedAttention
Paper • 2309.06180 • Published • 25 -
Ambiguity-Aware In-Context Learning with Large Language Models
Paper • 2309.07900 • Published • 5 -
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Paper • 2309.08532 • Published • 53 -
LASER: LLM Agent with State-Space Exploration for Web Navigation
Paper • 2309.08172 • Published • 13
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MVDream: Multi-view Diffusion for 3D Generation
Paper • 2308.16512 • Published • 105 -
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback
Paper • 2309.00267 • Published • 51 -
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records
Paper • 2308.14089 • Published • 30 -
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Paper • 2309.08532 • Published • 53
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Large Language Models as Optimizers
Paper • 2309.03409 • Published • 77 -
One Wide Feedforward is All You Need
Paper • 2309.01826 • Published • 33 -
Self-Alignment with Instruction Backtranslation
Paper • 2308.06259 • Published • 42 -
Shepherd: A Critic for Language Model Generation
Paper • 2308.04592 • Published • 32
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Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Paper • 2309.08532 • Published • 53 -
A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale
Paper • 2309.06497 • Published • 7 -
MindAgent: Emergent Gaming Interaction
Paper • 2309.09971 • Published • 13 -
CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages
Paper • 2309.09400 • Published • 85
-
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Paper • 2309.08532 • Published • 53 -
Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective
Paper • 2506.17930 • Published • 19 -
No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping
Paper • 2509.21880 • Published • 52
-
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Paper • 2309.08532 • Published • 53 -
Mixtral of Experts
Paper • 2401.04088 • Published • 160 -
How faithful are RAG models? Quantifying the tug-of-war between RAG and LLMs' internal prior
Paper • 2404.10198 • Published • 8 -
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
Paper • 2405.12130 • Published • 50
-
Efficient Memory Management for Large Language Model Serving with PagedAttention
Paper • 2309.06180 • Published • 25 -
Ambiguity-Aware In-Context Learning with Large Language Models
Paper • 2309.07900 • Published • 5 -
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Paper • 2309.08532 • Published • 53 -
LASER: LLM Agent with State-Space Exploration for Web Navigation
Paper • 2309.08172 • Published • 13
-
Agents: An Open-source Framework for Autonomous Language Agents
Paper • 2309.07870 • Published • 42 -
Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts
Paper • 2309.07430 • Published • 27 -
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Paper • 2309.08532 • Published • 53 -
Investigating Answerability of LLMs for Long-Form Question Answering
Paper • 2309.08210 • Published • 14
-
MVDream: Multi-view Diffusion for 3D Generation
Paper • 2308.16512 • Published • 105 -
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback
Paper • 2309.00267 • Published • 51 -
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records
Paper • 2308.14089 • Published • 30 -
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Paper • 2309.08532 • Published • 53
-
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 247 -
Large-Scale Automatic Audiobook Creation
Paper • 2309.03926 • Published • 55 -
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting
Paper • 2309.04269 • Published • 33 -
Textbooks Are All You Need II: phi-1.5 technical report
Paper • 2309.05463 • Published • 88
-
Large Language Models as Optimizers
Paper • 2309.03409 • Published • 77 -
One Wide Feedforward is All You Need
Paper • 2309.01826 • Published • 33 -
Self-Alignment with Instruction Backtranslation
Paper • 2308.06259 • Published • 42 -
Shepherd: A Critic for Language Model Generation
Paper • 2308.04592 • Published • 32