Papers with Code 아카이브
General Knowledge
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 7
- 평가표
- 1
- 보존된 평가 기록
- 2
This task aims to evaluate the ability of a model to answer general-knowledge questions.
Source: BIG-bench
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/kevinwong2013/COMS4995_Team_4_Zero_Shot_Classifier
Integrating Semantic Knowledge to Tackle Zero-shot Text Classification
https://github.com/kit-mrt/red-motion
https://github.com/kit-mrt/road-barlow-twins
https://github.com/kwanhui/finrelextract
https://github.com/lechengkong/oneforall
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
https://github.com/llm-editing/editing-attack
https://github.com/lucashueda/long_sentence_transformer
https://github.com/ma9o/facematch
https://github.com/mandarjoshi90/triviaqa
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
https://github.com/mia-workshop/mia-shared-task-2022
MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering
https://github.com/microsoft/dialoglm
https://github.com/microsoft/recommenders
A Hybrid Variational Autoencoder for Collaborative Filtering
https://github.com/mim-solutions/bert_for_longer_texts
https://github.com/mim-solutions/roberta_for_longer_texts
https://github.com/mistralai/mistral-src
https://github.com/moussakam/frugalscore
BEAMetrics: A Benchmark for Language Generation Evaluation Evaluation
https://github.com/nathann3/better_than_netflix_movie_recommender
A Hybrid Variational Autoencoder for Collaborative Filtering
https://github.com/naver-ai/simseek
https://github.com/nidhikamal-emb/DPR_repo
Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering
https://github.com/nkluge-correa/teenytinyllama
https://github.com/northanapon/dict-definition
https://github.com/open-finance-lab/finlora
https://github.com/openmatch/coco-dr
https://github.com/parvatijay2901/FaceNet_FR
https://github.com/pko89403/llm-for-recsys-shadow/tree/main/LlamaRec
LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking
https://github.com/princeton-nlp/DensePhrases
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering
https://github.com/princeton-nlp/helmet
https://github.com/ruc-nlpir/flashrag
DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented Generation
https://github.com/rvlopes/gloria
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/samrelins/tanda_search_qa_tool
TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection
https://github.com/samsam3232/qampari
https://github.com/saparina/text2sql-nlvariation
Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness
https://github.com/schenliu/longformer-chinese
https://github.com/see--/natural-question-answering
https://github.com/sessap/noregretgames
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.