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Collections including paper arxiv:2309.12284

KwaiYiiMath: Technical Report

Paper • 2310.07488 • Published Oct 11, 2023 • 2
Forward-Backward Reasoning in Large Language Models for Mathematical Verification

Paper • 2308.07758 • Published Aug 15, 2023 • 4
Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning

Paper • 2309.10814 • Published Sep 19, 2023 • 3
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Paper • 2310.03731 • Published Oct 5, 2023 • 25

Dataset generation

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs

Paper • 2310.13961 • Published Oct 21, 2023 • 4
ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Paper • 2202.07922 • Published Feb 16, 2022 • 1
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models

Paper • 2310.13671 • Published Oct 20, 2023 • 17
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4

Papers - Max Planck Institute

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Paper • 2309.12284 • Published Sep 21, 2023 • 16

Papers - Alan Turing Institute

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Paper • 2309.12284 • Published Sep 21, 2023 • 16

Papers - Southern University of Science and Technology

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Paper • 2309.12284 • Published Sep 21, 2023 • 16

Papers - University of Cambridge

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Paper • 2309.12284 • Published Sep 21, 2023 • 16
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance

Paper • 2404.04125 • Published Apr 4 • 26

Papers - University - Hong Kong University of Science and Te

Event Camera Demosaicing via Swin Transformer and Pixel-focus Loss

Paper • 2404.02731 • Published Apr 3 • 1
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Paper • 2309.12284 • Published Sep 21, 2023 • 16
RALL-E: Robust Codec Language Modeling with Chain-of-Thought Prompting for Text-to-Speech Synthesis

Paper • 2404.03204 • Published Apr 4 • 7
Adapting LLaMA Decoder to Vision Transformer

Paper • 2404.06773 • Published Apr 10 • 13

Papers - Math - Reasoning

Advancing LLM Reasoning Generalists with Preference Trees

Paper • 2404.02078 • Published Apr 2 • 41
ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline

Paper • 2404.02893 • Published Apr 3 • 19
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Paper • 2309.12284 • Published Sep 21, 2023 • 16
Premise Order Matters in Reasoning with Large Language Models

Paper • 2402.08939 • Published Feb 14 • 23

Papers - Huawei

DiJiang: Efficient Large Language Models through Compact Kernelization

Paper • 2403.19928 • Published Mar 29 • 9
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Paper • 2309.12284 • Published Sep 21, 2023 • 16
TextHawk: Exploring Efficient Fine-Grained Perception of Multimodal Large Language Models

Paper • 2404.09204 • Published 28 days ago • 10
SAGS: Structure-Aware 3D Gaussian Splatting

Paper • 2404.19149 • Published 12 days ago • 11

Papers - Text - Fine-tuning - Math

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Paper • 2309.12284 • Published Sep 21, 2023 • 16

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