Collections

11

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 • 29

26

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 • 18
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4

Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Paper • 2312.06585 • Published Dec 11, 2023 • 28

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KwaiYiiMath: Technical Report

Forward-Backward Reasoning in Large Language Models for Mathematical Verification

Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning

MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

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

ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models

Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Extending Llama-3's Context Ten-Fold Overnight

ReFT: Representation Finetuning for Language Models

Why do small language models underperform? Studying Language Model Saturation via the Softmax Bottleneck

SciGLM: Training Scientific Language Models with Self-Reflective Instruction Annotation and Tuning

AgentInstruct: Toward Generative Teaching with Agentic Flows

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows

Textbooks Are All You Need

Textbooks Are All You Need II: phi-1.5 technical report

TinyStories: How Small Can Language Models Be and Still Speak Coherent English?

Scaling Synthetic Data Creation with 1,000,000,000 Personas

Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Textbooks Are All You Need II: phi-1.5 technical report

DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows

Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Self-Rewarding Language Models

ReFT: Reasoning with Reinforced Fine-Tuning

Tuning Language Models by Proxy

TrustLLM: Trustworthiness in Large Language Models

Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

TinyGSM: achieving >80% on GSM8k with small language models

SciPhi/AgentSearch-V1

Data Filtering Networks

Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Enable Language Models to Implicitly Learn Self-Improvement From Data

ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent

Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models