https://github.com/seanie12/mrqa
공식 코드Domain-agnostic Question-Answering with Adversarial Training
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Question Answering
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Question answering can be segmented into domain-specific tasks like community question answering and knowledge-base question answering. Popular benchmark datasets for evaluation question answering systems include SQuAD, HotPotQA, bAbI, TriviaQA, WikiQA, and many others. Models for question answering are typically evaluated on metrics like EM and F1. Some recent top performing models are T5 and XLNet.
( Image credit: SQuAD )
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/searchableai/ChainCQG
공식 코드https://github.com/sebastian-hofstaetter/fira-trec-19-dataset
공식 코드Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering
https://github.com/sebastian-hofstaetter/transformer-kernel-ranking
공식 코드Mitigating the Position Bias of Transformer Models in Passage Re-Ranking
https://github.com/sebischair/llm-sp-cqa
공식 코드https://github.com/secureaiautonomylab/ma-tot
공식 코드Improving LLM Reasoning with Multi-Agent Tree-of-Thought Validator Agent
https://github.com/semantic-systems/nfdi-search-engine-chatbot
공식 코드Scholarly Question Answering using Large Language Models in the NFDI4DataScience Gateway
https://github.com/sen-uni-kn/specrepair
공식 코드A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks
https://github.com/seohyunwoo-0407/gar
공식 코드https://github.com/seonghyeonye/flipped-learning
공식 코드Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
https://github.com/seonjeonghwang/e2eqr
공식 코드https://github.com/serenayj/ABCD-ACL2021
공식 코드ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentences
https://github.com/serenayj/DeSSE
공식 코드ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentences
https://github.com/sergeantchris/macx-socialiq
공식 코드Extending Compositional Attention Networks for Social Reasoning in Videos
https://github.com/sergiotasconmorales/consistency_vqa
공식 코드Consistency-preserving Visual Question Answering in Medical Imaging
https://github.com/sergiotasconmorales/imp_vqa
공식 코드Logical Implications for Visual Question Answering Consistency
https://github.com/sergiotasconmorales/locvqa
공식 코드https://github.com/sergiotasconmorales/locvqallm
공식 코드Targeted Visual Prompting for Medical Visual Question Answering
https://github.com/servicenow/fm2ds
공식 코드https://github.com/sfeng-m/real4mwp
공식 코드Recall and Learn: A Memory-augmented Solver for Math Word Problems
https://github.com/shabnam-b/elqa
공식 코드ELQA: A Corpus of Metalinguistic Questions and Answers about English
https://github.com/shacharosn/CRE
공식 코드Exposing Shallow Heuristics of Relation Extraction Models with Challenge Data
https://github.com/shahin-01/vqa-ad
공식 코드Explaining Autonomous Driving Actions with Visual Question Answering
https://github.com/shaier/personalized_medicine_challenges
공식 코드https://github.com/shailaja183/arl
공식 코드Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning Task
https://github.com/shailaja183/clevr_hyp
공식 코드https://github.com/shailaja183/objectconceptlearning
공식 코드Help Me Identify: Is an LLM+VQA System All We Need to Identify Visual Concepts?
https://github.com/shaily99/eecc
공식 코드Extrinsic Evaluation of Cultural Competence in Large Language Models
https://github.com/shajiayu1/OmniDataComposer
공식 코드OmniDataComposer: A Unified Data Structure for Multimodal Data Fusion and Infinite Data Generation
https://github.com/shamdan17/likra
공식 코드https://github.com/shan23chen/healthllm_eval
공식 코드Evaluation of ChatGPT Family of Models for Biomedical Reasoning and Classification
https://github.com/shantipriyap/hausavqa
공식 코드HaVQA: A Dataset for Visual Question Answering and Multimodal Research in Hausa Language
https://github.com/shanzhenren/CoType
공식 코드Indirect Supervision for Relation Extraction using Question-Answer Pairs
https://github.com/sharonal10/langint
공식 코드https://github.com/sharonlevy/open_domain_covidqa
공식 코드Open-Domain Question-Answering for COVID-19 and Other Emergent Domains
https://github.com/shashank140195/Biomedical_QA_Model
공식 코드Top K Relevant Passage Retrieval for Biomedical Question Answering
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.