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DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
Paper • 2309.03883 • Published • 35 -
LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 32 -
Agents: An Open-source Framework for Autonomous Language Agents
Paper • 2309.07870 • Published • 42 -
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback
Paper • 2309.00267 • Published • 47
Collections
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Large Language Models as Optimizers
Paper • 2309.03409 • Published • 76 -
When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale
Paper • 2309.04564 • Published • 16 -
LIMA: Less Is More for Alignment
Paper • 2305.11206 • Published • 23 -
Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents
Paper • 2302.01560 • Published • 1
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Large Language Models as Optimizers
Paper • 2309.03409 • Published • 76 -
DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
Paper • 2309.03883 • Published • 35 -
Fine-Tuning Language Models with Just Forward Passes
Paper • 2305.17333 • Published • 3 -
E^2-LLM: Efficient and Extreme Length Extension of Large Language Models
Paper • 2401.06951 • Published • 26