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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/lucadiliello/transformers-framework

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Structural Self-Supervised Objectives for Transformers

https://github.com/lucasmansilla/ACRN_Chest_X-ray_IA

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Learning Deformable Registration of Medical Images with Anatomical Constraints

https://github.com/lucasmansilla/NIH_chest_xray14_segmentations

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Learning Deformable Registration of Medical Images with Anatomical Constraints

https://github.com/lucasxlu/ZhihuDataDriven

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Data-driven Approach for Quality Evaluation on Knowledge Sharing Platform

https://github.com/luciusssss/xkbqa-as-mrc

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Cross-Lingual Question Answering over Knowledge Base as Reading Comprehension

https://github.com/lucywang720/model-surgery

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Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing

https://github.com/luffy06/refusion

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ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion

https://github.com/lujunru/eventqaviapr

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Event Knowledge Incorporation with Posterior Regularization for Event-Centric Question Answering

https://github.com/lujunru/tranclr

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Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation

https://github.com/luka-group/odda-data-augmentation

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On-the-fly Denoising for Data Augmentation in Natural Language Understanding

https://github.com/lukasbahr/kg-rag-fmea

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Knowledge graph enhanced retrieval-augmented generation for failure mode and effects analysis

https://github.com/lumia-group/fouriertransformer

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Fourier Transformer: Fast Long Range Modeling by Removing Sequence Redundancy with FFT Operator

https://github.com/lunaproject22/causalchaos

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CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes

https://github.com/luogen1996/laconvnet

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Towards Language-guided Visual Recognition via Dynamic Convolutions

https://github.com/luohongyin/RGX

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Cooperative Self-training of Machine Reading Comprehension

https://github.com/luohongyin/langcode

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Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning

https://github.com/luomancs/alternative_answer_set

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'Just because you are right, doesn't mean I am wrong': Overcoming a Bottleneck in the Development and Evaluation of Open-Ended Visual Question Answering (VQA) Tasks

https://github.com/luomancs/retriever_reader_for_okvqa

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Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering

https://github.com/luoyuanlab/clinical-longformer

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Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences

https://github.com/luozhongze/ForPKG

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ForPKG: A Framework for Constructing Forestry Policy Knowledge Graph and Application Analysis

https://github.com/lupantech/InterGPS

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Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning

https://github.com/lupantech/ScienceQA

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Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering

https://github.com/lupantech/iconqa

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IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning

https://github.com/lupantech/promptpg

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RetICL: Sequential Retrieval of In-Context Examples with Reinforcement Learning

https://github.com/lupantech/rvqa

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R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering

https://github.com/luyangj/voqa

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VoQA: Visual-only Question Answering

https://github.com/lvapeab/nmt-keras

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NMT-Keras: a Very Flexible Toolkit with a Focus on Interactive NMT and Online Learning

https://github.com/lx709/vrsbench

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VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understanding

https://github.com/lxchtan/omnidrca

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OmniDRCA: Parallel Speech-Text Foundation Model via Dual-Resolution Speech Representations and Contrastive Alignment

https://github.com/lxmeng/mms_answer_selection

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M$^2$S-Net: Multi-Modal Similarity Metric Learning based Deep Convolutional Network for Answer Selection

https://github.com/lyan62/FoodieQA

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FoodieQA: A Multimodal Dataset for Fine-Grained Understanding of Chinese Food Culture

https://github.com/lyh-yf/mwptoolkit

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MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers

https://github.com/lynshao/semanticpapr

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Semantic Communications with Discrete-time Analog Transmission: A PAPR Perspective

https://github.com/lyutyuh/poptimizer

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Likelihood as a Performance Gauge for Retrieval-Augmented Generation

https://github.com/lywang3081/coscl

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CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One

https://github.com/lyx0501/spring

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SPRING: Situated Conversation Agent Pretrained with Multimodal Questions from Incremental Layout Graph

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.