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Ziya2: Data-centric Learning is All LLMs Need
Paper • 2311.03301 • Published • 16 -
Co-training and Co-distillation for Quality Improvement and Compression of Language Models
Paper • 2311.02849 • Published • 2 -
MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning
Paper • 2311.02303 • Published • 4 -
ADaPT: As-Needed Decomposition and Planning with Language Models
Paper • 2311.05772 • Published • 8
Collections
Discover the best community collections!
Collections including paper arxiv:2311.05657
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Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs
Paper • 2310.13961 • Published • 4 -
Diversity of Thought Improves Reasoning Abilities of Large Language Models
Paper • 2310.07088 • Published • 4 -
AutoMix: Automatically Mixing Language Models
Paper • 2310.12963 • Published • 14 -
SAI: Solving AI Tasks with Systematic Artificial Intelligence in Communication Network
Paper • 2310.09049 • Published • 1
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MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
Paper • 2310.03731 • Published • 25 -
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search
Paper • 2310.13227 • Published • 11 -
ChipNeMo: Domain-Adapted LLMs for Chip Design
Paper • 2311.00176 • Published • 7 -
Language Models can be Logical Solvers
Paper • 2311.06158 • Published • 14
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CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages
Paper • 2309.09400 • Published • 77 -
PDFTriage: Question Answering over Long, Structured Documents
Paper • 2309.08872 • Published • 51 -
Chain-of-Verification Reduces Hallucination in Large Language Models
Paper • 2309.11495 • Published • 37 -
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
Paper • 2309.12307 • Published • 83