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LIMA: Less Is More for Alignment
Paper • 2305.11206 • Published • 20 -
Garment3DGen: 3D Garment Stylization and Texture Generation
Paper • 2403.18816 • Published • 19 -
EgoLifter: Open-world 3D Segmentation for Egocentric Perception
Paper • 2403.18118 • Published • 9 -
The Unreasonable Ineffectiveness of the Deeper Layers
Paper • 2403.17887 • Published • 77
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Collections including paper arxiv:2305.11206
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Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning
Paper • 2310.20587 • Published • 16 -
SELF: Language-Driven Self-Evolution for Large Language Model
Paper • 2310.00533 • Published • 2 -
QLoRA: Efficient Finetuning of Quantized LLMs
Paper • 2305.14314 • Published • 45 -
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper • 2309.14717 • Published • 43
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Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning
Paper • 2310.20587 • Published • 16 -
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 94 -
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
Paper • 2403.15042 • Published • 24 -
LIMA: Less Is More for Alignment
Paper • 2305.11206 • Published • 20
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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 • 61
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Large Language Model Alignment: A Survey
Paper • 2309.15025 • Published • 2 -
Aligning Large Language Models with Human: A Survey
Paper • 2307.12966 • Published • 1 -
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 43 -
SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF
Paper • 2310.05344 • Published • 1
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Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 75 -
LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 12 -
Finetuned Language Models Are Zero-Shot Learners
Paper • 2109.01652 • Published • 2 -
LIMA: Less Is More for Alignment
Paper • 2305.11206 • Published • 20
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Attention Is All You Need
Paper • 1706.03762 • Published • 41 -
LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 28 -
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 43 -
Lost in the Middle: How Language Models Use Long Contexts
Paper • 2307.03172 • Published • 35
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BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
Paper • 2211.05100 • Published • 28 -
CsFEVER and CTKFacts: Acquiring Czech data for fact verification
Paper • 2201.11115 • Published -
Training language models to follow instructions with human feedback
Paper • 2203.02155 • Published • 13 -
FinGPT: Large Generative Models for a Small Language
Paper • 2311.05640 • Published • 27
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LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
Paper • 2309.12307 • Published • 86 -
LIMA: Less Is More for Alignment
Paper • 2305.11206 • Published • 20 -
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
Paper • 2309.11998 • Published • 24 -
Identifying Mislabeled Data using the Area Under the Margin Ranking
Paper • 2001.10528 • Published