Papers with Code 아카이브

Mathematical Reasoning

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

7

평가표

11

보존된 평가 기록

41

코드

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

https://github.com/facebookresearch/minif2f

Measuring Mathematical Problem Solving With the MATH Dataset

https://github.com/facebookresearch/pytorch-dp

LoRA: Low-Rank Adaptation of Large Language Models

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

LoRA: Low-Rank Adaptation of Large Language Models

https://github.com/fajri91/indommlu

LLaMA: Open and Efficient Foundation Language Models

https://github.com/fanqiwan/fuseai

Knowledge Fusion of Large Language Models

https://github.com/flagai-open/aquila2

LoRA: Low-Rank Adaptation of Large Language Models

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

LoRA: Low-Rank Adaptation of Large Language Models

https://github.com/flow-project/flow

DRLE: Decentralized Reinforcement Learning at the Edge for Traffic Light Control in the IoV

https://github.com/flowersteam/lamorel

LoRA: Low-Rank Adaptation of Large Language Models

https://github.com/formalgeo/formalgeo

FormalGeo: An Extensible Formalized Framework for Olympiad Geometric Problem Solving

https://github.com/freedomintelligence/huatuogpt

LLaMA: Open and Efficient Foundation Language Models

https://github.com/freedomintelligence/sdak

FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

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

LLaMA: Open and Efficient Foundation Language Models

https://github.com/funaudiollm/inspiremusic

Qwen2.5 Technical Report

https://github.com/gair-nlp/abel

Solving Quantitative Reasoning Problems with Language Models

https://github.com/gammatauai/leetcode-hard-gym

Sparks of Artificial General Intelligence: Early experiments with GPT-4

https://github.com/ganjinzero/rrhf

LLaMA: Open and Efficient Foundation Language Models

https://github.com/gentopia-ai/gentopia

Let's Verify Step by Step

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

LLaMA: Open and Efficient Foundation Language Models

https://github.com/ggml-org/llama.cpp

LLaMA: Open and Efficient Foundation Language Models

https://github.com/glb400/Toy-RecLM

Llama 2: Open Foundation and Fine-Tuned Chat Models

https://github.com/google-deepmind/thunnini

LoRA: Low-Rank Adaptation of Large Language Models

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

LLaMA: Open and Efficient Foundation Language Models

https://github.com/greenbitai/low_bit_llama

LLaMA: Open and Efficient Foundation Language Models

https://github.com/gt-ripl/selective-projection-decay

LoRA: Low-Rank Adaptation of Large Language Models

https://github.com/guinmoon/llmfarm

LLaMA: Open and Efficient Foundation Language Models

https://github.com/h2oai/alpaca-lora

LoRA: Low-Rank Adaptation of Large Language Models

https://github.com/h2oai/h2o-llmstudio

LoRA: Low-Rank Adaptation of Large Language Models

https://github.com/hamishivi/easylm

LLaMA: Open and Efficient Foundation Language Models

https://github.com/heegyukim/open-korean-instructions

LIMO: Less is More for Reasoning

https://github.com/heekhero/DTL

LoRA: Low-Rank Adaptation of Large Language Models

https://github.com/hellokevin07/elastictrainer

LoRA: Low-Rank Adaptation of Large Language Models

https://github.com/hit-scir/chinese-mixtral-8x7b

Mixtral of Experts

https://github.com/hitachi-nlp/fld-corpus

Learning Deductive Reasoning from Synthetic Corpus based on Formal Logic

https://github.com/hitachi-nlp/fld-generator

Learning Deductive Reasoning from Synthetic Corpus based on Formal Logic

https://github.com/hitz-zentroa/this-is-not-a-dataset

LoRA: Low-Rank Adaptation of Large Language Models

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