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

https://github.com/skyworkai/skywork

SkyMath: Technical Report

https://github.com/srush/minichain

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

https://github.com/sunlab-osu/understanding-cot

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

https://github.com/thaihungle/Memory-R

Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language Models

https://github.com/thisisbillhe/zipcache

ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification

https://github.com/thu-keg/korc

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

https://github.com/thudm/chatglm

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

https://github.com/thudm/chatglm2-6b

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

https://github.com/thudm/chatglm3

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

https://github.com/thudm/chatglm4

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

https://github.com/thudm/glm-4

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

https://github.com/thunderous77/glape

Large Language Models as Optimizers

https://github.com/umass-ml4ed/dialogue-kt

Mathfish: Evaluating Language Model Math Reasoning via Grounding in Educational Curricula

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

Qwen2 Technical Report

https://github.com/volcengine/verl

Training Verifiers to Solve Math Word Problems

https://github.com/yangyucheng000/University/tree/main/model-1/qwen2

Qwen2 Technical Report

https://github.com/yangyucheng000/University/tree/main/model-2/chatglm4

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

https://github.com/yangyucheng000/University/tree/main/model-3/qwen2_moe

Qwen2 Technical Report

https://github.com/yanyang19/ImPart

Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

https://github.com/yaof20/real

Enhancing Multi-Step Reasoning Abilities of Language Models through Direct Q-Function Optimization

https://github.com/yaolu/random-prompt

Large Language Models as Optimizers

https://github.com/yinzhangyue/AoR

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

https://github.com/yinzhangyue/eot

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

https://github.com/zhaoolee/garss

GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

https://github.com/ziye2chen/LLMs-for-Mathematical-Analysis

Qwen2 Technical Report

https://github.com/zongqianwu/st-cot

Large Language Models are Zero-Shot Reasoners

https://huggingface.co/datasets/peiyi9979/Math-Shepherd

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

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