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Collections including paper arxiv:2309.05653

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 • 26
Natural Language Reasoning, A Survey

Paper • 2303.14725 • Published Mar 26, 2023 • 1

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

Paper • 2312.09241 • Published Dec 14, 2023 • 39
Learning From Mistakes Makes LLM Better Reasoner

Paper • 2310.20689 • Published Oct 31, 2023 • 29
KwaiYiiMath: Technical Report

Paper • 2310.07488 • Published Oct 11, 2023 • 2
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning

Paper • 2309.05653 • Published Sep 11, 2023 • 10

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

Creative Robot Tool Use with Large Language Models

Paper • 2310.13065 • Published Oct 19, 2023 • 9
CodeCoT and Beyond: Learning to Program and Test like a Developer

Paper • 2308.08784 • Published Aug 17, 2023 • 5
Lemur: Harmonizing Natural Language and Code for Language Agents

Paper • 2310.06830 • Published Oct 10, 2023 • 34
CodePlan: Repository-level Coding using LLMs and Planning

Paper • 2309.12499 • Published Sep 21, 2023 • 77

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

Paper • 2204.07705 • Published Apr 16, 2022 • 1
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

Branch-Solve-Merge Improves Large Language Model Evaluation and Generation

Paper • 2310.15123 • Published Oct 23, 2023 • 8
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
Self-Convinced Prompting: Few-Shot Question Answering with Repeated Introspection

Paper • 2310.05035 • Published Oct 8, 2023 • 1
Chain-of-Thought Reasoning is a Policy Improvement Operator

Paper • 2309.08589 • Published Sep 15, 2023 • 1

KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval

Paper • 2310.15511 • Published Oct 24, 2023 • 5
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search

Paper • 2310.13227 • Published Oct 20, 2023 • 13
Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning

Paper • 2310.04474 • Published Oct 6, 2023 • 2
AgentTuning: Enabling Generalized Agent Abilities for LLMs

Paper • 2310.12823 • Published Oct 19, 2023 • 35

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