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Collections including paper arxiv:2309.12284

my-math-and-logic-babies

Boolformer: Symbolic Regression of Logic Functions with Transformers

Paper • 2309.12207 • Published Sep 21, 2023 • 11
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Paper • 2309.12284 • Published Sep 21, 2023 • 18
Generative AI for Math: Part I -- MathPile: A Billion-Token-Scale Pretraining Corpus for Math

Paper • 2312.17120 • Published Dec 28, 2023 • 28
Natural Language Reasoning, A Survey

Paper • 2303.14725 • Published Mar 26, 2023 • 2

mathematical llm

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Paper • 2309.12284 • Published Sep 21, 2023 • 18

LoRA Fine-tuning Efficiently Undoes Safety Training in Llama 2-Chat 70B

Paper • 2310.20624 • Published Oct 31, 2023 • 13
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Paper • 2309.12284 • Published Sep 21, 2023 • 18

Detecting Pretraining Data from Large Language Models

Paper • 2310.16789 • Published Oct 25, 2023 • 11
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 • 19
AutoMix: Automatically Mixing Language Models

Paper • 2310.12963 • Published Oct 19, 2023 • 14
An Emulator for Fine-Tuning Large Language Models using Small Language Models

Paper • 2310.12962 • Published Oct 19, 2023 • 13

Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Paper • 2204.07705 • Published Apr 16, 2022 • 2
Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering

Paper • 2308.13259 • Published Aug 25, 2023 • 2
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning

Paper • 2309.05653 • Published Sep 11, 2023 • 10
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Paper • 2309.12284 • Published Sep 21, 2023 • 18

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 91
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 23
RoBERTa: A Robustly Optimized BERT Pretraining Approach

Paper • 1907.11692 • Published Jul 26, 2019 • 9
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Paper • 1910.01108 • Published Oct 2, 2019 • 20

Papers We've Read

Papers discussed in the H4 journal club

OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Paper • 2309.11235 • Published Sep 20, 2023 • 15
Orca 2: Teaching Small Language Models How to Reason

Paper • 2311.11045 • Published Nov 18, 2023 • 77
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Paper • 2309.12284 • Published Sep 21, 2023 • 18

💫 Glossary https://osanseviero.github.io/hackerllama/blog/posts/hitchhiker_guide/

Understanding LLMs: A Comprehensive Overview from Training to Inference

Paper • 2401.02038 • Published Jan 4, 2024 • 65
Learning To Teach Large Language Models Logical Reasoning

Paper • 2310.09158 • Published Oct 13, 2023 • 1
ChipNeMo: Domain-Adapted LLMs for Chip Design

Paper • 2311.00176 • Published Oct 31, 2023 • 9
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

Paper • 2308.09583 • Published Aug 18, 2023 • 7

KwaiYiiMath: Technical Report

Paper • 2310.07488 • Published Oct 11, 2023 • 3
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

Ada-Instruct: Adapting Instruction Generators for Complex Reasoning

Paper • 2310.04484 • Published Oct 6, 2023 • 5
Diversity of Thought Improves Reasoning Abilities of Large Language Models

Paper • 2310.07088 • Published Oct 11, 2023 • 5
Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 81
Democratizing Reasoning Ability: Tailored Learning from Large Language Model

Paper • 2310.13332 • Published Oct 20, 2023 • 16

my-math-and-logic-babies

Boolformer: Symbolic Regression of Logic Functions with Transformers

Paper • 2309.12207 • Published Sep 21, 2023 • 11
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Paper • 2309.12284 • Published Sep 21, 2023 • 18
Generative AI for Math: Part I -- MathPile: A Billion-Token-Scale Pretraining Corpus for Math

Paper • 2312.17120 • Published Dec 28, 2023 • 28
Natural Language Reasoning, A Survey

Paper • 2303.14725 • Published Mar 26, 2023 • 2

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 91
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 23
RoBERTa: A Robustly Optimized BERT Pretraining Approach

Paper • 1907.11692 • Published Jul 26, 2019 • 9
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Paper • 1910.01108 • Published Oct 2, 2019 • 20

mathematical llm

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Paper • 2309.12284 • Published Sep 21, 2023 • 18

Papers We've Read

Papers discussed in the H4 journal club

OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Paper • 2309.11235 • Published Sep 20, 2023 • 15
Orca 2: Teaching Small Language Models How to Reason

Paper • 2311.11045 • Published Nov 18, 2023 • 77
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Paper • 2309.12284 • Published Sep 21, 2023 • 18

LoRA Fine-tuning Efficiently Undoes Safety Training in Llama 2-Chat 70B

Paper • 2310.20624 • Published Oct 31, 2023 • 13
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Paper • 2309.12284 • Published Sep 21, 2023 • 18

💫 Glossary https://osanseviero.github.io/hackerllama/blog/posts/hitchhiker_guide/

Understanding LLMs: A Comprehensive Overview from Training to Inference

Paper • 2401.02038 • Published Jan 4, 2024 • 65
Learning To Teach Large Language Models Logical Reasoning

Paper • 2310.09158 • Published Oct 13, 2023 • 1
ChipNeMo: Domain-Adapted LLMs for Chip Design

Paper • 2311.00176 • Published Oct 31, 2023 • 9
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

Paper • 2308.09583 • Published Aug 18, 2023 • 7

Detecting Pretraining Data from Large Language Models

Paper • 2310.16789 • Published Oct 25, 2023 • 11
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 • 19
AutoMix: Automatically Mixing Language Models

Paper • 2310.12963 • Published Oct 19, 2023 • 14
An Emulator for Fine-Tuning Large Language Models using Small Language Models

Paper • 2310.12962 • Published Oct 19, 2023 • 13

KwaiYiiMath: Technical Report

Paper • 2310.07488 • Published Oct 11, 2023 • 3
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

Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Paper • 2204.07705 • Published Apr 16, 2022 • 2
Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering

Paper • 2308.13259 • Published Aug 25, 2023 • 2
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning

Paper • 2309.05653 • Published Sep 11, 2023 • 10
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Paper • 2309.12284 • Published Sep 21, 2023 • 18

Ada-Instruct: Adapting Instruction Generators for Complex Reasoning

Paper • 2310.04484 • Published Oct 6, 2023 • 5
Diversity of Thought Improves Reasoning Abilities of Large Language Models

Paper • 2310.07088 • Published Oct 11, 2023 • 5
Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 81
Democratizing Reasoning Ability: Tailored Learning from Large Language Model

Paper • 2310.13332 • Published Oct 20, 2023 • 16

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