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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/q-future/q-sit

공식 코드

Teaching LMMs for Image Quality Scoring and Interpreting

https://github.com/q-future/visual-question-answering-for-video-quality-assessment

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VQA$^2$: Visual Question Answering for Video Quality Assessment

https://github.com/qanastek/FrenchMedMCQA

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FrenchMedMCQA: A French Multiple-Choice Question Answering Dataset for Medical domain

https://github.com/qcri/QLFactChecking

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Fact Checking in Community Forums

https://github.com/qhjqhj00/inforage

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Scent of Knowledge: Optimizing Search-Enhanced Reasoning with Information Foraging

https://github.com/qhjqhj00/memorag

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MemoRAG: Moving towards Next-Gen RAG Via Memory-Inspired Knowledge Discovery

https://github.com/qhnhynmm/viocrvqa

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ViOCRVQA: Novel Benchmark Dataset and Vision Reader for Visual Question Answering by Understanding Vietnamese Text in Images

https://github.com/qhuni/deve-qa

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Question-Answering Dense Video Events

https://github.com/qiantianwen/nuscenes-qa

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NuScenes-QA: A Multi-modal Visual Question Answering Benchmark for Autonomous Driving Scenario

https://github.com/qinchuanhui/uda-benchmark

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UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document Analysis

https://github.com/qingfei1/longrag

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LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering

https://github.com/qingkaizeng/chain-of-layer

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Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples

https://github.com/qingruzhang/adalora

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AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

https://github.com/qingruzhang/platon

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PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance

https://github.com/qipeng/golden-retriever

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Answering Complex Open-domain Questions Through Iterative Query Generation

https://github.com/qiyuw/peercl

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PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings

https://github.com/qizhust/cmcl_vqa_pl

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Cross-Modal Contrastive Learning for Robust Reasoning in VQA

https://github.com/qtli/gsm-plus

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GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers

https://github.com/quiil/quiil_thompson_solution

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QuIIL at T3 challenge: Towards Automation in Life-Saving Intervention Procedures from First-Person View

https://github.com/qwenlm/qwen-vl

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Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

https://github.com/qwenlm/qwen2

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Qwen2 Technical Report

https://github.com/qwenlm/qwen2-vl

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Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

https://github.com/qybc/medblip

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MedBLIP: Bootstrapping Language-Image Pre-training from 3D Medical Images and Texts

https://github.com/rabiulcste/vqazero

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Investigating Prompting Techniques for Zero- and Few-Shot Visual Question Answering

https://github.com/rahular/ellipsis-baselines

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Ellipsis Resolution as Question Answering: An Evaluation

https://github.com/rahular/robust-maml

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Minimax and Neyman-Pearson Meta-Learning for Outlier Languages

https://github.com/rahvis/cognitive-weave

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Cognitive Weave: Synthesizing Abstracted Knowledge with a Spatio-Temporal Resonance Graph

https://github.com/raidium-med/mqg

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Efficient Medical Question Answering with Knowledge-Augmented Question Generation

https://github.com/rajammanabrolu/KG-DQN

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Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning

https://github.com/rajarshd/Multi-Step-Reasoning

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Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering

https://github.com/rajarshd/cbr-subg

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Knowledge Base Question Answering by Case-based Reasoning over Subgraphs

https://github.com/rajatkoner08/Graphhopper

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Graphhopper: Multi-Hop Scene Graph Reasoning for Visual Question Answering

https://github.com/rajcscw/nlp-gym

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NLPGym -- A toolkit for evaluating RL agents on Natural Language Processing Tasks

https://github.com/rakeshchada/corefqa

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Gendered Pronoun Resolution using BERT and an extractive question answering formulation

https://github.com/raldir/qa-natver

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QA-NatVer: Question Answering for Natural Logic-based Fact Verification

https://github.com/ram-g-athreya/RNN-Question-Answering

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Template-based Question Answering using Recursive Neural Networks

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