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 2876–2900 of 10817 papers

TitleStatusHype
Detect2Interact: Localizing Object Key Field in Visual Question Answering (VQA) with LLMs—0
Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language ReasoningCode0
How Much are Large Language Models Contaminated? A Comprehensive Survey and the LLMSanitize LibraryCode2
Explainable Multi-hop Question Generation: An End-to-End Approach without Intermediate Question LabelingCode0
M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language ModelsCode3
How Robust are the Tabular QA Models for Scientific Tables? A Study using Customized DatasetCode0
Small Language Models Learn Enhanced Reasoning Skills from Medical Textbooks—0
DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering—0
Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-trainingCode0
Linguistic Calibration of Long-Form GenerationsCode1
Multi-hop Question Answering under Temporal Knowledge Editing—0
Uncovering Bias in Large Vision-Language Models with Counterfactuals—0
Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language ModelsCode2
VHM: Versatile and Honest Vision Language Model for Remote Sensing Image AnalysisCode2
Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You WantCode2
MANGO: A Benchmark for Evaluating Mapping and Navigation Abilities of Large Language ModelsCode0
Leveraging Expert Input for Robust and Explainable AI-Assisted Lung Cancer Detection in Chest X-rays—0
Are Large Language Models Good at Utility Judgments?Code0
Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous DrivingCode2
EthioMT: Parallel Corpus for Low-resource Ethiopian Languages—0
JDocQA: Japanese Document Question Answering Dataset for Generative Language ModelsCode1
Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question AnsweringCode1
MFORT-QA: Multi-hop Few-shot Open Rich Table Question Answering—0
Reshaping Free-Text Radiology Notes Into Structured Reports With Generative TransformersCode0
Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal PerspectiveCode1
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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