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Collections including paper arxiv:2311.04235

GPT4All: An Ecosystem of Open Source Compressed Language Models

Paper • 2311.04931 • Published Nov 6, 2023 • 20
Can LLMs Follow Simple Rules?

Paper • 2311.04235 • Published Nov 6, 2023 • 11
Prompt Engineering a Prompt Engineer

Paper • 2311.05661 • Published Nov 9, 2023 • 21
Orca 2: Teaching Small Language Models How to Reason

Paper • 2311.11045 • Published Nov 18, 2023 • 72

Levels of AGI: Operationalizing Progress on the Path to AGI

Paper • 2311.02462 • Published Nov 4, 2023 • 34
Can LLMs Follow Simple Rules?

Paper • 2311.04235 • Published Nov 6, 2023 • 11

Research on LLM

When can transformers reason with abstract symbols?

Paper • 2310.09753 • Published Oct 15, 2023 • 3
In-Context Pretraining: Language Modeling Beyond Document Boundaries

Paper • 2310.10638 • Published Oct 16, 2023 • 29
Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model

Paper • 2310.09520 • Published Oct 14, 2023 • 11
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers

Paper • 2309.08532 • Published Sep 15, 2023 • 53

CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages

Paper • 2309.09400 • Published Sep 17, 2023 • 85
PDFTriage: Question Answering over Long, Structured Documents

Paper • 2309.08872 • Published Sep 16, 2023 • 54
Chain-of-Verification Reduces Hallucination in Large Language Models

Paper • 2309.11495 • Published Sep 20, 2023 • 37
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Paper • 2309.12307 • Published Sep 21, 2023 • 88

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