J-Seo / KoCommonGEN-V2
KoCommonGEN v2: A Benchmark for Navigating Korean Commonsense Reasoning Challenges in Large Language Models
☆25Updated 5 months ago
Alternatives and similar repositories for KoCommonGEN-V2:
Users that are interested in KoCommonGEN-V2 are comparing it to the libraries listed below
- Official repository for KoMT-Bench built by LG AI Research☆51Updated 5 months ago
- huggingface에 있는 한국어 데이터 세트☆23Updated 3 months ago
- [Findings of NAACL2022] A Dog Is Passing Over The Jet? A Text-Generation Dataset for Korean Commonsense Reasoning and Evaluation☆28Updated 2 years ago
- CLIcK: A Benchmark Dataset of Cultural and Linguistic Intelligence in Korean☆42Updated last month
- ☆18Updated 6 months ago
- ☆34Updated last year
- For the rlhf learning environment of Koreans☆23Updated last year
- ☆19Updated last year
- 한국어 LLM 리더보드 및 모델 성능/안전성 관리☆22Updated last year
- Reward Model을 이용하여 언어모델의 답변을 평가하기☆27Updated 11 months ago
- StrategyQA 데이터 세트 번역☆22Updated 9 months ago
- bpe based korean t5 model for text-to-text unified framework☆63Updated 9 months ago
- Performs benchmarking on two Korean datasets with minimal time and effort.☆27Updated 5 months ago
- Code and data for "KoDialogBench: Evaluating Conversational Understanding of Language Models with Korean Dialogue Benchmark" (LREC-COLING…☆15Updated 10 months ago
- ☆32Updated last year
- AutoRAG example about benchmarking Korean embeddings.☆27Updated 3 months ago
- 자체 구축한 한국어 평가 데이터셋을 이용한 한국어 모델 평가☆31Updated 8 months ago
- Difference-based Contrastive Learning for Korean Sentence Embeddings☆24Updated last year
- ☆34Updated 11 months ago
- ☆28Updated 2 years ago
- 🤗 최소한의 세팅으로 LM을 학습하기 위한 샘플코드☆57Updated last year
- 한국어 언어 모델 학습을 위한 프로젝트(Flax, Pytorch with Huggingface Accelerate)☆31Updated last year
- 언어모델을 학습하기 위한 공개 한국어 instruction dataset들을 모아두었습니다.☆19Updated last year
- Korean Commonsense Knowledge Graph☆14Updated 2 years ago
- CareCall for Seniors: Role Specified Open-Domain Dialogue dataset generated by leveraging LLMs (NAACL 2022).☆60Updated 2 years ago
- 구글에서 발표한 Chain-of-Thought Reasoning without Prompting을 코드로 구현한 레포입니다.☆62Updated 4 months ago
- ☆19Updated 4 years ago
- State-of-the-art Retrieval Model implementing "Dense Passage Retrieval for Open-Domain Question Answering" with Korean Dataset.☆9Updated 2 years ago
- Google's Conceptual Captions Dataset translated into Korean☆21Updated 2 years ago
- 한국어 T5 모델☆49Updated 3 years ago