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Moral Foundations of Large Language Models
Paper • 2310.15337 • Published • 1 -
Specific versus General Principles for Constitutional AI
Paper • 2310.13798 • Published • 2 -
Contrastive Prefence Learning: Learning from Human Feedback without RL
Paper • 2310.13639 • Published • 21 -
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback
Paper • 2309.00267 • Published • 45
Collections
Discover the best community collections!
Collections including paper arxiv:2311.08401
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Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning
Paper • 2310.20587 • Published • 15 -
SELF: Language-Driven Self-Evolution for Large Language Model
Paper • 2310.00533 • Published • 2 -
QLoRA: Efficient Finetuning of Quantized LLMs
Paper • 2305.14314 • Published • 39 -
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper • 2309.14717 • Published • 43
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GAIA: a benchmark for General AI Assistants
Paper • 2311.12983 • Published • 170 -
Fine-tuning Language Models for Factuality
Paper • 2311.08401 • Published • 26 -
LayoutPrompter: Awaken the Design Ability of Large Language Models
Paper • 2311.06495 • Published • 7 -
Prompt Engineering a Prompt Engineer
Paper • 2311.05661 • Published • 18
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ChatAnything: Facetime Chat with LLM-Enhanced Personas
Paper • 2311.06772 • Published • 33 -
Fine-tuning Language Models for Factuality
Paper • 2311.08401 • Published • 26 -
A Survey on Language Models for Code
Paper • 2311.07989 • Published • 20 -
Instruction-Following Evaluation for Large Language Models
Paper • 2311.07911 • Published • 17
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Fine-tuning Language Models for Factuality
Paper • 2311.08401 • Published • 26 -
Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies
Paper • 2308.03188 • Published • 2 -
Trusted Source Alignment in Large Language Models
Paper • 2311.06697 • Published • 9 -
Long-form factuality in large language models
Paper • 2403.18802 • Published • 23