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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/salesforce/rng-kbqa

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RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering

https://github.com/salesforceairesearch/taco

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TACO: Learning Multi-modal Action Models with Synthetic Chains-of-Thought-and-Action

https://github.com/sallytan13/teaching-inspired-prompting

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Teaching-Inspired Integrated Prompting Framework: A Novel Approach for Enhancing Reasoning in Large Language Models

https://github.com/samarth4149/scramble

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Enhancing Compositional Reasoning in Vision-Language Models with Synthetic Preference Data

https://github.com/samblouir/birdie

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Birdie: Advancing State Space Models with Reward-Driven Objectives and Curricula

https://github.com/sameearif/uqa

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UQA: Corpus for Urdu Question Answering

https://github.com/sameerdharur/sorting-vqa

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SOrT-ing VQA Models : Contrastive Gradient Learning for Improved Consistency

https://github.com/samsung/nl-iti

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Non-Linear Inference Time Intervention: Improving LLM Truthfulness

https://github.com/samuelbroscheit/entity_knowledge_in_bert

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Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity Linking

https://github.com/sangwu99/simplot

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SIMPLOT: Enhancing Chart Question Answering by Distilling Essentials

https://github.com/sanjayss34/codevqa

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Modular Visual Question Answering via Code Generation

https://github.com/sapienzanlp/zebra

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ZEBRA: Zero-Shot Example-Based Retrieval Augmentation for Commonsense Question Answering

https://github.com/saptarshi059/cdqa-project

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Towards Efficient Methods in Medical Question Answering using Knowledge Graph Embeddings

https://github.com/saptarshi059/cdqa-v1-targetted-pretraining

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TOP-Training: Target-Oriented Pretraining for Medical Extractive Question Answering

https://github.com/saptarshi059/generalization-hypothesis

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Exploring Language Model Generalization in Low-Resource Extractive QA

https://github.com/sarthmit/BRIMs

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Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules

https://github.com/sarwanpasha/pwm2vec

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PWM2Vec: An Efficient Embedding Approach for Viral Host Specification from Coronavirus Spike Sequences

https://github.com/sashavor/climateNLP

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Analyzing Sustainability Reports Using Natural Language Processing

https://github.com/sasmohaimeed/sigma

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Sigma: A dataset for text-to-code semantic parsing with statistical analysis

https://github.com/satoshi-2000/llms-suitable

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Do LLMs Implicitly Determine the Suitable Text Difficulty for Users?

https://github.com/saverymax/qdriven-chiqa-summarization

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Question-Driven Summarization of Answers to Consumer Health Questions

https://github.com/sayankotor/sparse_grads

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SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers

https://github.com/sayantan11995/context_based_quote_extraction

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RA-MTR: A Retrieval Augmented Multi-Task Reader based Approach for Inspirational Quote Extraction from Long Documents

https://github.com/sberbank-ai-lab/RuMedBench

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RuMedBench: A Russian Medical Language Understanding Benchmark

https://github.com/sberbank-ai/fusion_brain_aij2021

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Many Heads but One Brain: Fusion Brain -- a Competition and a Single Multimodal Multitask Architecture

https://github.com/scai-conf/scai-qrecc-21

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SCAI-QReCC Shared Task on Conversational Question Answering

https://github.com/schuture/deeptumorvqa

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Are Vision Language Models Ready for Clinical Diagnosis? A 3D Medical Benchmark for Tumor-centric Visual Question Answering

https://github.com/sdadas/polish-roberta

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Pre-training Polish Transformer-based Language Models at Scale

https://github.com/sdc17/crossget

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CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers

https://github.com/sding11/RAG-VR

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RAG-VR: Leveraging Retrieval-Augmented Generation for 3D Question Answering in VR Environments

https://github.com/sdlzy/arc

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Joint Answering and Explanation for Visual Commonsense Reasoning

https://github.com/seai-lab/pygbs

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TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning

https://github.com/seai-lab/torchspatial

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TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning

https://github.com/sean0042/open_wikitable

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Open-WikiTable: Dataset for Open Domain Question Answering with Complex Reasoning over Table

https://github.com/seanie12/Info-HCVAE

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Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs

https://github.com/seanie12/SWEP

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Learning to Perturb Word Embeddings for Out-of-distribution QA

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