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DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
Paper • 2309.03883 • Published • 33 -
LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 30 -
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
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Collections including paper arxiv:2309.03883
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Large Language Models as Optimizers
Paper • 2309.03409 • Published • 75 -
DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
Paper • 2309.03883 • Published • 33 -
Fine-Tuning Language Models with Just Forward Passes
Paper • 2305.17333 • Published • 2 -
E^2-LLM: Efficient and Extreme Length Extension of Large Language Models
Paper • 2401.06951 • Published • 25
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GPT Can Solve Mathematical Problems Without a Calculator
Paper • 2309.03241 • Published • 17 -
Large Language Models as Optimizers
Paper • 2309.03409 • Published • 75 -
DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
Paper • 2309.03883 • Published • 33 -
FLM-101B: An Open LLM and How to Train It with $100K Budget
Paper • 2309.03852 • Published • 43
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Large Language Models as Optimizers
Paper • 2309.03409 • Published • 75 -
FLM-101B: An Open LLM and How to Train It with $100K Budget
Paper • 2309.03852 • Published • 43 -
GPT Can Solve Mathematical Problems Without a Calculator
Paper • 2309.03241 • Published • 17 -
DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
Paper • 2309.03883 • Published • 33