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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/hiba-meiruan/urdu-vqa-dataset-

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Dataset and Benchmark for Urdu Natural Scenes Text Detection, Recognition and Visual Question Answering

https://github.com/hieunghia-pat/ViConsFormer

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ViConsFormer: Constituting Meaningful Phrases of Scene Texts using Transformer-based Method in Vietnamese Text-based Visual Question Answering

https://github.com/hieunghia-pat/openvivqa-dataset

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OpenViVQA: Task, Dataset, and Multimodal Fusion Models for Visual Question Answering in Vietnamese

https://github.com/hila-chefer/Transformer-MM-Explainability

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Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers

https://github.com/hithink-research/bizfinbench

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BizFinBench: A Business-Driven Real-World Financial Benchmark for Evaluating LLMs

https://github.com/hitsz-tmg/cognitive-visual-language-mapper

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A Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question Answering

https://github.com/hitvoice/RE2

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Simple and Effective Text Matching with Richer Alignment Features

https://github.com/hiyouga/llama-factory

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KnowTuning: Knowledge-aware Fine-tuning for Large Language Models

https://github.com/hkunlp/icl-ceil

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Compositional Exemplars for In-context Learning

https://github.com/hkunlp/unifiedskg

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UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models

https://github.com/hkust-knowcomp/car

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CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering

https://github.com/hkust-knowcomp/cskb-population

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CKBP v2: Better Annotation and Reasoning for Commonsense Knowledge Base Population

https://github.com/hkust-knowcomp/gold

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Gold: A Global and Local-aware Denoising Framework for Commonsense Knowledge Graph Noise Detection

https://github.com/hkust-knowcomp/intentionqa

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IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce

https://github.com/hkust-knowcomp/marcon

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Revisiting Epistemic Markers in Confidence Estimation: Can Markers Accurately Reflect Large Language Models' Uncertainty?

https://github.com/hkust-knowcomp/mico

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MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation

https://github.com/hkust-knowcomp/pipenet

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PipeNet: Question Answering with Semantic Pruning over Knowledge Graphs

https://github.com/hkust-knowcomp/qadynamics

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QADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question Answering

https://github.com/hkust-nlp/dart-math

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DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving

https://github.com/hkyoon95/mqg

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Diversity Enhanced Narrative Question Generation for Storybooks

https://github.com/hlr/blind

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Reasoning over Uncertain Text by Generative Large Language Models

https://github.com/hlr/drgn

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Dynamic Relevance Graph Network for Knowledge-Aware Question Answering

https://github.com/hlr/probabilistic_logical_reasoning

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Teaching Probabilistic Logical Reasoning to Transformers

https://github.com/hlr/spartun

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Transfer Learning with Synthetic Corpora for Spatial Role Labeling and Reasoning

https://github.com/hltchkust/cqr4cqa

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Can Question Rewriting Help Conversational Question Answering?

https://github.com/hoar012/rap-mllm

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RAP: Retrieval-Augmented Personalization for Multimodal Large Language Models

https://github.com/holipori/mimic-diff-vqa

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Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering

https://github.com/homebrewltd/ichigo

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Ichigo: Mixed-Modal Early-Fusion Realtime Voice Assistant

https://github.com/hon-wong/elysium

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Elysium: Exploring Object-level Perception in Videos via MLLM

https://github.com/hoplee6/sports-qa

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Sports-QA: A Large-Scale Video Question Answering Benchmark for Complex and Professional Sports

https://github.com/hornhehhf/rr

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Rethinking with Retrieval: Faithful Large Language Model Inference

https://github.com/hotpotqa/hotpot

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HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

https://github.com/hou27/recdap-fkgc

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ReCDAP: Relation-Based Conditional Diffusion with Attention Pooling for Few-Shot Knowledge Graph Completion

https://github.com/houtan-ghaffari/SSCCSLR

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An Efficient Method for the Classification of Croplands in Scarce-Label Regions

https://github.com/hpai-bsc/prompt_engine

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Boosting Healthcare LLMs Through Retrieved Context

https://github.com/hplt-project/monolingual-multilingual-instruction-tuning

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Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca

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