Ziya2: Data-centric Learning is All LLMs Need
Paper
• 2311.03301 • Published
• 20
LLMs
-
-
Co-training and Co-distillation for Quality Improvement and Compression of Language Models
Paper • 2311.02849 • Published • 8 -
MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning
Paper • 2311.02303 • Published • 12 -
ADaPT: As-Needed Decomposition and Planning with Language Models
Paper • 2311.05772 • Published • 12 -
Prompt Engineering a Prompt Engineer
Paper • 2311.05661 • Published • 23 -
FinGPT: Large Generative Models for a Small Language
Paper • 2311.05640 • Published • 30 -
Language Models can be Logical Solvers
Paper • 2311.06158 • Published • 20 -
Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs
Paper • 2311.05657 • Published • 30 -
Exponentially Faster Language Modelling
Paper • 2311.10770 • Published • 119 -
SparQ Attention: Bandwidth-Efficient LLM Inference
Paper • 2312.04985 • Published • 40 -
PathFinder: Guided Search over Multi-Step Reasoning Paths
Paper • 2312.05180 • Published • 10 -
EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism
Paper • 2312.04916 • Published • 7