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Arithmetic Reasoning

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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169

코드

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

https://github.com/nicolay-r/reasoning-for-sentiment-analysis-framework

Large Language Models are Zero-Shot Reasoners

https://github.com/ninglab/ecellm

Llama 2: Open Foundation and Fine-Tuned Chat Models

https://github.com/nlpxucan/wizardlm

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

https://github.com/ntunlplab/traditional-chinese-alpaca

LLaMA: Open and Efficient Foundation Language Models

https://github.com/ofa-sys/expertllama

LLaMA: Open and Efficient Foundation Language Models

https://github.com/ohadrubin/rpt

LLaMA: Open and Efficient Foundation Language Models

https://github.com/opendatalab/charm

Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting

https://github.com/opennlg/openba-v2

UL2: Unifying Language Learning Paradigms

https://github.com/openpsi-project/realhf

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

https://github.com/phoebussi/alpaca-cot

LLaMA: Open and Efficient Foundation Language Models

https://github.com/pwc-1/Paper-9/tree/main/2/mistral

Mistral 7B

https://github.com/qwenlm/qwen1.5

Qwen2 Technical Report

https://github.com/qwopqwop200/GPTQ-for-LLaMa

LLaMA: Open and Efficient Foundation Language Models

https://github.com/replicate/cog_stanford_alpaca

LLaMA: Open and Efficient Foundation Language Models

https://github.com/rijgersberg/geitje

Llama 2: Open Foundation and Fine-Tuned Chat Models

https://github.com/shibing624/medicalgpt

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

https://github.com/shmsw25/factscore

GPT-4 Technical Report

https://github.com/squeezeailab/squeezellm

LLaMA: Open and Efficient Foundation Language Models

https://github.com/srush/minichain

PAL: Program-aided Language Models

https://github.com/stanfordbdhg/llama.cpp

LLaMA: Open and Efficient Foundation Language Models

https://github.com/synthlabsai/big-math

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

https://github.com/tatsu-lab/stanford_alpaca

LLaMA: Open and Efficient Foundation Language Models

https://github.com/teelinsan/camoscio

LLaMA: Open and Efficient Foundation Language Models

https://github.com/unispac/visual-adversarial-examples-jailbreak-large-language-models

GPT-4 Technical Report

https://github.com/usyd-fsalab/fp6_llm

Llama 2: Open Foundation and Fine-Tuned Chat Models

https://github.com/valdecy/pybibx

Gemini: A Family of Highly Capable Multimodal Models

https://github.com/vcskaushik/LLMzip

LLaMA: Open and Efficient Foundation Language Models

https://github.com/vicentvankor/sun-shine

Qwen2 Technical Report

https://github.com/wellecks/llemma_formal2formal

Llemma: An Open Language Model For Mathematics

https://github.com/wengsyx/controllm

Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks

https://github.com/wengsyx/lmtuner

Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks

https://github.com/xiaoman-zhang/PMC-VQA

LLaMA: Open and Efficient Foundation Language Models

https://github.com/xuetianci/pacit

Llama 2: Open Foundation and Fine-Tuned Chat Models

https://github.com/xusenlinzy/api-for-open-llm

LLaMA: Open and Efficient Foundation Language Models

https://github.com/xverse-ai/xverse-13b

Llama 2: Open Foundation and Fine-Tuned Chat Models

https://github.com/xvyaward/owq

LLaMA: Open and Efficient Foundation Language Models

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