SOTAVerified

Question Answering

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 )

Papers

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Showing 8026–8050 of 10817 papers

TitleStatusHype
Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering—0
Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning—0
MMLU-SR: A Benchmark for Stress-Testing Reasoning Capability of Large Language Models—0
Cross-Task Knowledge Transfer for Visually-Grounded Navigation—0
Auto-captions on GIF: A Large-scale Video-sentence Dataset for Vision-language Pre-training—0
Reasoning over Hierarchical Question Decomposition Tree for Explainable Question Answering—0
Reasoning Over History: Context Aware Visual Dialog—0
An Attention-Based Word-Level Interaction Model: Relation Detection for Knowledge Base Question Answering—0
Reasoning over Hybrid Chain for Table-and-Text Open Domain QA—0
Interpretable LLM-based Table Question Answering—0
Cross-Task Generalization via Natural Language Crowdsourcing Instructions—0
Interpretable Face Anti-Spoofing: Enhancing Generalization with Multimodal Large Language Models—0
Reasoning over Vision and Language: Exploring the Benefits of Supplemental Knowledge—0
Interpretable Counting for Visual Question Answering—0
Cross-Policy Compliance Detection via Question Answering—0
Reasoning with Large Language Models, a Survey—0
Autobots Ensemble: Identifying and Extracting Adverse Drug Reaction from Tweets Using Transformer Based Pipelines—0
Dynamic Clue Bottlenecks: Towards Interpretable-by-Design Visual Question Answering—0
Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks—0
Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering—0
Interpretability Analysis of Domain Adapted Dense Retrievers—0
An Attempt to Unraveling Token Prediction Refinement and Identifying Essential Layers of Large Language Models—0
Admitting Ignorance Helps the Video Question Answering Models to Answer—0
ACL-Fig: A Dataset for Scientific Figure Classification—0
Internet-augmented language models through few-shot prompting for open-domain question answering—0
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All datasetsSQuAD2.0SQuAD1.1HotpotQAPIQABoolQCOPATriviaQASQuAD1.1 devNatural QuestionsOpenBookQATruthfulQAMultiRC

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94—Unverified
2FPNet (ensemble)EM90.87—Unverified
3IE-NetV2 (ensemble)EM90.86—Unverified
4SA-Net on Albert (ensemble)EM90.72—Unverified
5SA-Net-V2 (ensemble)EM90.68—Unverified
6FPNet (ensemble)EM90.6—Unverified
7Retro-Reader (ensemble)EM90.58—Unverified
8EntitySpanFocusV2 (ensemble)EM90.52—Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49—Unverified
10EntitySpanFocus+AT (ensemble)EM90.45—Unverified