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/yeonseokjeong/judge-specialist
공식 코드https://github.com/ysunbp/taxoglimpse
공식 코드https://github.com/yudhanjaya/eluwa
공식 코드https://github.com/yueeeeeeee/llamarec
공식 코드LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking
https://github.com/yuh-yang/kgcl-sigir22
공식 코드https://github.com/yulongbonjour/see_through_their_minds
공식 코드See Through Their Minds: Learning Transferable Neural Representation from Cross-Subject fMRI
https://github.com/yunncheng/MMRL
공식 코드MMRL++: Parameter-Efficient and Interaction-Aware Representation Learning for Vision-Language Models
https://github.com/yuzhimanhua/seetopic
공식 코드https://github.com/yxf203/poisonarena
공식 코드PoisonArena: Uncovering Competing Poisoning Attacks in Retrieval-Augmented Generation
https://github.com/yxzwang/normalized-information-payload
공식 코드https://github.com/zackschen/coin
공식 코드CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large Language Model
https://github.com/zenrran4nlp/Awesome-LLM-Inference-Serving
공식 코드Taming the Titans: A Survey of Efficient LLM Inference Serving
https://github.com/zh-wang-med/llm-rg4
공식 코드LLM-RG4: Flexible and Factual Radiology Report Generation across Diverse Input Contexts
https://github.com/zhaijianyang/kp4sr
공식 코드https://github.com/zhangtia16/molgraph-lardo
공식 코드https://github.com/zhangyong-tang/gmmt
공식 코드https://github.com/zhengxiangshi/ingredientparsing
공식 코드https://github.com/zhiyuanpeng/eloq
공식 코드ELOQ: Resources for Enhancing LLM Detection of Out-of-Scope Questions
https://github.com/zhyczy/fed-co2
공식 코드https://github.com/zixuanke/lifelongsentclass
공식 코드Continual Learning with Knowledge Transfer for Sentiment Classification
https://github.com/zixuanke/pycontinual
공식 코드Continual Learning with Knowledge Transfer for Sentiment Classification
https://github.com/zjunlp/knowundo
공식 코드To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models
https://github.com/zjunlp/relphormer
공식 코드Relphormer: Relational Graph Transformer for Knowledge Graph Representations
https://github.com/zorazrw/nqt-retrieval
공식 코드Table Retrieval May Not Necessitate Table-specific Model Design
https://github.com/zzz47zzz/CFNER
공식 코드Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition
https://github.com/2023-MindSpore-1/ms-code-155
https://github.com/2023-MindSpore-1/ms-code-161
https://github.com/2023-MindSpore-1/ms-code-214/tree/main/IRN
IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation
https://github.com/2023-MindSpore-4/Code10/tree/main/Focus-DETR
Knowledge Distillation for Detection Transformer with Consistent Distillation Points Sampling
https://github.com/3ZadeSSG/ContentBased-Movie-Recommendation-using-Sentiment-Analysis
Movie Recommendation System using Sentiment Analysis from Microblogging Data
https://github.com/AI-metrics/AI-metrics
https://github.com/AIResearchHub/transformergallery
https://github.com/DevSinghSachan/unsupervised-passage-reranking
End-to-End Training of Neural Retrievers for Open-Domain Question Answering
https://github.com/EvgenyDyshlyuk/DeepLearning_face_detection_embeddings_clustering
https://github.com/EvgenyDyshlyuk/Deep_Learning_Face_Detection_Embeddings_Clustering
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.