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Question Answering

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하위 태스크: 19
평가표: 153
보존된 평가 기록: 1,781

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/bytedance/tarsier

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https://arxiv.org/abs/2407.00634

https://github.com/bytedance/video-salmonn-2

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video-SALMONN 2: Captioning-Enhanced Audio-Visual Large Language Models

https://github.com/byu-pccl/leveraging-llms-for-mcqa

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Leveraging Large Language Models for Multiple Choice Question Answering

https://github.com/bywords/directed_sentiment_analysis

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Who Blames or Endorses Whom? Entity-to-Entity Directed Sentiment Extraction in News Text

https://github.com/byz0e/glance-focus

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Glance and Focus: Memory Prompting for Multi-Event Video Question Answering

https://github.com/bzhai/ubi-sleepnet

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Ubi-SleepNet: Advanced Multimodal Fusion Techniques for Three-stage Sleep Classification Using Ubiquitous Sensing

https://github.com/bzluan/textcot

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TextCoT: Zoom In for Enhanced Multimodal Text-Rich Image Understanding

https://github.com/c-patsch/okcv

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Outside Knowledge Conversational Video (OKCV) Dataset -- Dialoguing over Videos

https://github.com/c3sr/split-ner

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Split-NER: Named Entity Recognition via Two Question-Answering-based Classifications

https://github.com/c4ai/deepage

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DEEPAGÉ: Answering Questions in Portuguese about the Brazilian Environment

https://github.com/c4ai/integrating-question-answering-and-text-to-sql-in-portuguese

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Integrating question answering and text-to-SQL in Portuguese

https://github.com/caicch/colpro

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Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting

https://github.com/cambridgeltl/posqa

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POSQA: Probe the World Models of LLMs with Size Comparisons

https://github.com/cambridgeltl/sqatin

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SQATIN: Supervised Instruction Tuning Meets Question Answering for Improved Dialogue NLU

https://github.com/cambridgeltl/xcopa

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MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer

https://github.com/camma-public/ssg-qa

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Advancing Surgical VQA with Scene Graph Knowledge

https://github.com/camma-public/ssg-vqa

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Advancing Surgical VQA with Scene Graph Knowledge

https://github.com/canghongjian/beam_retriever

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End-to-End Beam Retrieval for Multi-Hop Question Answering

https://github.com/caoyu-noob/tasa

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TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack

https://github.com/caoyu1991/BAG

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BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering

https://github.com/carolinlawrence/nematus

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Counterfactual Learning from Human Proofreading Feedback for Semantic Parsing

https://github.com/carriex/lfqa_eval

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A Critical Evaluation of Evaluations for Long-form Question Answering

https://github.com/carriex/recomp

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RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation

https://github.com/casetext/r-and-r

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Can't Remember Details in Long Documents? You Need Some R&R

https://github.com/casnlu/ISCAS-SemEval2020Task5

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ISCAS at SemEval-2020 Task 5: Pre-trained Transformers for Counterfactual Statement Modeling

https://github.com/castorini/duobert

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An Optimal Algorithm for Finding Champions in Tournament Graphs

https://github.com/castorini/pyserini

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A Replication Study of Dense Passage Retriever

https://github.com/castorini/unirag

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UniRAG: Universal Retrieval Augmentation for Large Vision Language Models

https://github.com/catalina17/VideoNavQA

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VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering

https://github.com/cbenge509/bertvision

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BERTVision -- A Parameter-Efficient Approach for Question Answering

https://github.com/ccasimiro88/TranslateAlignRetrieve

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Automatic Spanish Translation of the SQuAD Dataset for Multilingual Question Answering

https://github.com/ccasimiro88/self-distillation-gxlt-qa

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Promoting Generalized Cross-lingual Question Answering in Few-resource Scenarios via Self-knowledge Distillation

https://github.com/cchen23/generalized_schema_learning

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Learning to Perform Role-Filler Binding with Schematic Knowledge

https://github.com/cciiplab/dpt

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Declaration-based Prompt Tuning for Visual Question Answering

https://github.com/ccqym/osmlocator

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OsmLocator: locating overlapping scatter marks with a non-training generative perspective

https://github.com/ccychongyanchen/vizwizvqagroundingcrowdsourcing

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Grounding Answers for Visual Questions Asked by Visually Impaired People

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