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/chrisc36/debias
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
https://github.com/cloneofsimo/RealFormer-pytorch
https://github.com/cybermetric/cybermetric
https://github.com/czy1999/MultiTQ
https://github.com/czy1999/SubGTR
https://github.com/d3mlab/cr-lt-kgqa
https://github.com/darthbatman/simplified-ECON
https://github.com/deep-spin/S7
https://github.com/deep-spin/sigmorphon-seq2seq
https://github.com/dmis-lab/gener
https://github.com/dreamstorm25/Generating-Natural-Questions-from-an-Image
https://github.com/ehsankazemi/streamingkextendible
Streaming Submodular Maximization under a $k$-Set System Constraint
https://github.com/erolm-a/colla-framework
Entities as Experts: Sparse Memory Access with Entity Supervision
https://github.com/esteng/persuasion_balanced_training
LACIE: Listener-Aware Finetuning for Confidence Calibration in Large Language Models
https://github.com/facebookresearch/DPR
Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering
https://github.com/facebookresearch/FiD
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering
https://github.com/facebookresearch/reconsider
RECONSIDER: Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering
https://github.com/facebookresearch/xformers
https://github.com/gooofy/zbrain
https://github.com/han-shi/SparseBERT
https://github.com/hltcoe/colbert-x
https://github.com/hongyuntw/DPR
Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering
https://github.com/hongyuntw/DPR_BESS
Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering
https://github.com/huangch/xae4hne
https://github.com/huggingface/transformers
Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering
https://github.com/hyintell/retrievalqa
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
https://github.com/iinemo/lm-polygraph
https://github.com/jaketae/pytorch-malware-detection
https://github.com/jaketae/realformer
https://github.com/jarl93/joeynmt-modified
https://github.com/jhyuklee/DensePhrases
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering
https://github.com/juliakreutzer/joeynmt
https://github.com/justinaL/tag
CoVeR: Learning Covariate-Specific Vector Representations with Tensor Decompositions
https://github.com/kailaisun/indoor-depth-completion
https://github.com/karanthakkar97/Text-summarization-with-Seq2Seq
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.