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Mathematical Reasoning

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보존된 평가 기록

41

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/agiresearch/omnirouter

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OmniRouter: Budget and Performance Controllable Multi-LLM Routing

https://github.com/ai4math-shanzhang/sve-math

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Open Eyes, Then Reason: Fine-grained Visual Mathematical Understanding in MLLMs

https://github.com/akarim23131/lost_in_cultural_translation

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Lost in Cultural Translation: Do LLMs Struggle with Math Across Cultural Contexts?

https://github.com/albacl/klaus

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Design of quantum optical experiments with logic artificial intelligence

https://github.com/alestolfo/causal-math

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A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models

https://github.com/alestolfo/lm-arithmetic

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A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis

https://github.com/ali-forootani/a-survey-on-mathematical-reasoning-and-optimization-with-large-language-models

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A Survey on Mathematical Reasoning and Optimization with Large Language Models

https://github.com/allanj/deductive-mwp

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Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction

https://github.com/allanraventos/refine

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Rethinking Fine-Tuning when Scaling Test-Time Compute: Limiting Confidence Improves Mathematical Reasoning

https://github.com/allenai/lila

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Lila: A Unified Benchmark for Mathematical Reasoning

https://github.com/alpha-innovator/geox

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GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training

https://github.com/alsace08/ood-math-reasoning

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Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning

https://github.com/amao0o0/coinmath

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CoinMath: Harnessing the Power of Coding Instruction for Math LLMs

https://github.com/analokmaus/kaggle-aimo2-fast-math-r1

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A Practical Two-Stage Recipe for Mathematical LLMs: Maximizing Accuracy with SFT and Efficiency with Reinforcement Learning

https://github.com/andrey-borro/reasoning-gap

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Bridging the Reasoning Gap: Small LLMs Can Plan with Generalised Strategies

https://github.com/anna7355/scope

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SCOPE: Compress Mathematical Reasoning Steps for Efficient Automated Process Annotation

https://github.com/anonymize-author/agentrl

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Agent RL Scaling Law: Agent RL with Spontaneous Code Execution for Mathematical Problem Solving

https://github.com/arashgholami/MaTT

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LLMs Are Not Intelligent Thinkers: Introducing Mathematical Topic Tree Benchmark for Comprehensive Evaluation of LLMs

https://github.com/arkilpatel/SVAMP

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Are NLP Models really able to Solve Simple Math Word Problems?

https://github.com/asaparov/prontoqa

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Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought

https://github.com/azreasoners/gpt-asp-rules

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Leveraging Large Language Models to Generate Answer Set Programs

https://github.com/bammt/learn-to-check

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Learning to Check: Unleashing Potentials for Self-Correction in Large Language Models

https://github.com/benpry/think-aloud-llms

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Scaling up the think-aloud method

https://github.com/beyonderxx/trace

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TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

https://github.com/bin123apple/macm

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MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems

https://github.com/calc-cmu/pre-calc

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Pre-Calc: Learning to Use the Calculator Improves Numeracy in Language Models

https://github.com/car-pe/hagbp

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Hierarchical Attention Generates Better Proofs

https://github.com/cas-siat-consistencyai/numcot

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NUMCoT: Numerals and Units of Measurement in Chain-of-Thought Reasoning using Large Language Models

https://github.com/cfpark00/rl-wall

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Decomposing Elements of Problem Solving: What "Math" Does RL Teach?

https://github.com/changyuchen347/maskedthought

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Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models

https://github.com/chen-judge/GeoQA

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GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning

https://github.com/chen-judge/unigeo

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UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression

https://github.com/chengpengli1003/cort

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CoRT: Code-integrated Reasoning within Thinking

https://github.com/chengpengli1003/dotamath

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DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical Reasoning

https://github.com/chenzhiling9954/critical-tokens-matter

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Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM's Reasoning Capability

https://github.com/chuanyang-Zheng/Progressive-Hint

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Progressive-Hint Prompting Improves Reasoning in Large Language Models

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