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Chronos: Learning the Language of Time Series
Paper • 2403.07815 • Published • 45 -
Large Language Models as Optimizers
Paper • 2309.03409 • Published • 75 -
Pattern Discovery in Time Series with Byte Pair Encoding
Paper • 2106.00614 • Published • 2 -
MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection
Paper • 2403.19888 • Published • 10
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Collections including paper arxiv:2309.03409
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Measuring the Effects of Data Parallelism on Neural Network Training
Paper • 1811.03600 • Published • 2 -
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost
Paper • 1804.04235 • Published • 2 -
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Paper • 1905.11946 • Published • 3 -
Yi: Open Foundation Models by 01.AI
Paper • 2403.04652 • Published • 62
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The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs
Paper • 2210.14986 • Published • 5 -
Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2
Paper • 2311.10702 • Published • 18 -
Large Language Models as Optimizers
Paper • 2309.03409 • Published • 75 -
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting
Paper • 2309.04269 • Published • 32
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Cognitive Architectures for Language Agents
Paper • 2309.02427 • Published • 8 -
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 48 -
Orca 2: Teaching Small Language Models How to Reason
Paper • 2311.11045 • Published • 70 -
Pretraining Data Mixtures Enable Narrow Model Selection Capabilities in Transformer Models
Paper • 2311.00871 • Published • 2
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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 • 24 -
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback
Paper • 2309.00267 • Published • 47
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Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior
Paper • 2309.00359 • Published • 20 -
Large Language Models as Optimizers
Paper • 2309.03409 • Published • 75 -
Natural Language Supervision for General-Purpose Audio Representations
Paper • 2309.05767 • Published • 9 -
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT)
Paper • 2309.08968 • Published • 22
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Chain-of-Verification Reduces Hallucination in Large Language Models
Paper • 2309.11495 • Published • 38 -
CodePlan: Repository-level Coding using LLMs and Planning
Paper • 2309.12499 • Published • 73 -
SCREWS: A Modular Framework for Reasoning with Revisions
Paper • 2309.13075 • Published • 15 -
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Paper • 2309.08532 • Published • 52
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Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Paper • 2309.08532 • Published • 52 -
Large Language Models as Optimizers
Paper • 2309.03409 • Published • 75 -
Graph of Thoughts: Solving Elaborate Problems with Large Language Models
Paper • 2308.09687 • Published • 6 -
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
Paper • 2211.12588 • Published • 3