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Collections including paper arxiv:2310.15987
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Dissecting In-Context Learning of Translations in GPTs
Paper • 2310.15987 • Published • 5 -
Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca
Paper • 2309.08958 • Published • 2 -
X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages
Paper • 2305.04160 • Published • 2 -
Ziya-VL: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning
Paper • 2310.08166 • Published • 1
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Dissecting In-Context Learning of Translations in GPTs
Paper • 2310.15987 • Published • 5 -
In-Context Learning Creates Task Vectors
Paper • 2310.15916 • Published • 39 -
ZeroGen: Efficient Zero-shot Learning via Dataset Generation
Paper • 2202.07922 • Published • 1 -
Promptor: A Conversational and Autonomous Prompt Generation Agent for Intelligent Text Entry Techniques
Paper • 2310.08101 • Published • 1
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PaLI-3 Vision Language Models: Smaller, Faster, Stronger
Paper • 2310.09199 • Published • 23 -
A Zero-Shot Language Agent for Computer Control with Structured Reflection
Paper • 2310.08740 • Published • 14 -
Personality Traits in Large Language Models
Paper • 2307.00184 • Published • 19 -
An Emulator for Fine-Tuning Large Language Models using Small Language Models
Paper • 2310.12962 • Published • 13
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The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A"
Paper • 2309.12288 • Published • 3 -
Are Emergent Abilities in Large Language Models just In-Context Learning?
Paper • 2309.01809 • Published • 3 -
When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale
Paper • 2309.04564 • Published • 14 -
CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages
Paper • 2309.09400 • Published • 77