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Arithmetic Reasoning

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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하위 태스크

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평가표

5

보존된 평가 기록

169

코드

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

https://github.com/Mind23-2/MindCode-140

LLaMA: Open and Efficient Foundation Language Models

https://github.com/MindSpore-scientific-2/code-14/tree/main/llama

LLaMA: Open and Efficient Foundation Language Models

https://github.com/NVIDIA/NeMo-Skills

OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data

https://github.com/RUCAIBox/LLMBox

Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

https://github.com/RamonKaspar/MathPrompter

MathPrompter: Mathematical Reasoning using Large Language Models

https://github.com/ShayekhBinIslam/openrag

Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks

https://github.com/abhaskumarsinha/Corpus2GPT

LLaMA: Open and Efficient Foundation Language Models

https://github.com/aethercortex/llama-x

LLaMA: Open and Efficient Foundation Language Models

https://github.com/ai-secure/decodingtrust

Is ChatGPT a General-Purpose Natural Language Processing Task Solver?

https://github.com/akanyaani/miniLLAMA

LLaMA: Open and Efficient Foundation Language Models

https://github.com/allanj/dynamic-pal

PAL: Program-aided Language Models

https://github.com/aozhongzhang/magr

LLaMA: Open and Efficient Foundation Language Models

https://github.com/appl-team/appl

Tree of Thoughts: Deliberate Problem Solving with Large Language Models

https://github.com/batsresearch/alfred

LLaMA: Open and Efficient Foundation Language Models

https://github.com/beomi/koalpaca

LLaMA: Open and Efficient Foundation Language Models

https://github.com/bernard-yang/distilltablecot

Learning to Reason for Text Generation from Scientific Tables

https://github.com/chang-github-00/llm-predictive-decoding

Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations

https://github.com/chaoyi-wu/finetune_llama

LLaMA: Open and Efficient Foundation Language Models

https://github.com/chaoyi-wu/pmc-llama

LLaMA: Open and Efficient Foundation Language Models

https://github.com/coastalcph/eu-politics-llms

Llama 2: Open Foundation and Fine-Tuned Chat Models

https://github.com/codelion/optillm

Tree of Thoughts: Deliberate Problem Solving with Large Language Models

https://github.com/codelion/optillm/blob/main/optillm/self_consistency.py

Self-Consistency Improves Chain of Thought Reasoning in Language Models

https://github.com/dakingrai/ood-generalization-semantic-boundary-techniques

An Investigation of Neuron Activation as a Unified Lens to Explain Chain-of-Thought Eliciting Arithmetic Reasoning of LLMs

https://github.com/ecnu-icalk/educhat

LLaMA: Open and Efficient Foundation Language Models

https://github.com/ecolab-postech/owq

LLaMA: Open and Efficient Foundation Language Models

https://github.com/emrgnt-cmplxty/zero-shot-replication

GPT-4 Technical Report

https://github.com/eternityyw/tram-benchmark

GPT-4 Technical Report

https://github.com/ethz-privsec/superhuman-ai-consistency

GPT-4 Technical Report

https://github.com/ethz-spylab/superhuman-ai-consistency

GPT-4 Technical Report

https://github.com/facebookresearch/chai

LLaMA: Open and Efficient Foundation Language Models

https://github.com/facebookresearch/fairseq2

Mistral 7B

https://github.com/facico/chinese-vicuna

LLaMA: Open and Efficient Foundation Language Models

https://github.com/fajri91/indommlu

LLaMA: Open and Efficient Foundation Language Models

https://github.com/flagalpha/llama2-chinese

LLaMA: Open and Efficient Foundation Language Models

https://github.com/freedomintelligence/huatuogpt

LLaMA: Open and Efficient Foundation Language Models

https://github.com/fsoft-ai4code/codecapybara

LLaMA: Open and Efficient Foundation Language Models

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.