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 4601–4650 of 10817 papers

TitleStatusHype
Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction—0
Automatic Coupling of Answer Extraction and Information Retrieval—0
Advances in Natural Language Question Answering: A Review—0
Data augmentation techniques for the Video Question Answering task—0
Automatic Compound Processing: Compound Splitting and Semantic Analysis for Afrikaans and Dutch—0
Interpretable Counting for Visual Question Answering—0
Interpretable Face Anti-Spoofing: Enhancing Generalization with Multimodal Large Language Models—0
Data Augmentation for Visual Question Answering—0
Automatic classification of doctor-patient questions for a virtual patient record query task—0
Automatic Claim Review for Climate Science via Explanation Generation—0
Data Augmentation for Biomedical Factoid Question Answering—0
Data Augmentation for BERT Fine-Tuning in Open-Domain Question Answering—0
A Collection of Question Answering Datasets for Norwegian—0
DARE: Diverse Visual Question Answering with Robustness Evaluation—0
Automatic Building and Using Parallel Resources for SMT from Comparable Corpora—0
Danoliteracy of Generative, Large Language Models—0
Medical Knowledge Graph QA for Drug-Drug Interaction Prediction based on Multi-hop Machine Reading Comprehension—0
Advances in Multi-turn Dialogue Comprehension: A Survey—0
Dynamic Clue Bottlenecks: Towards Interpretable-by-Design Visual Question Answering—0
Interpretable LLM-based Table Question Answering—0
DaNetQA: a yes/no Question Answering Dataset for the Russian Language—0
Damage Assessment after Natural Disasters with UAVs: Semantic Feature Extraction using Deep Learning—0
Automatically Extracting Procedural Knowledge from Instructional Texts using Natural Language Processing—0
An Efficient Active Learning Framework for New Relation Types—0
DAHRS: Divergence-Aware Hallucination-Remediated SRL Projection—0
Automatically Developing a Fine-grained Arabic Named Entity Corpus and Gazetteer by utilizing Wikipedia—0
DAFE: LLM-Based Evaluation Through Dynamic Arbitration for Free-Form Question-Answering—0
DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension—0
Automated Utterance Generation—0
An Effective Multi-Stage Approach For Question Answering—0
Advancements and Challenges in Bangla Question Answering Models: A Comprehensive Review—0
An Effective Contextual Language Modeling Framework for Speech Summarization with Augmented Features—0
ARTEMIS-DA: An Advanced Reasoning and Transformation Engine for Multi-Step Insight Synthesis in Data Analytics—0
Cycle-Consistency for Robust Visual Question Answering—0
Automated Testing and Improvement of Named Entity Recognition Systems—0
VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos—0
CyberBOT: Towards Reliable Cybersecurity Education via Ontology-Grounded Retrieval Augmented Generation—0
Automated Story Generation as Question-Answering—0
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark—0
ANEC: An Amharic Named Entity Corpus and Transformer Based Recognizer—0
A Cognitive Ideation Support Framework using IBM Watson Services—0
Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering—0
Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks—0
C-VQA: A Compositional Split of the Visual Question Answering (VQA) v1.0 Dataset—0
Automated Historical Fact-Checking by Passage Retrieval, Word Statistics, and Virtual Question-Answering—0
Automated Graph Generation at Sentence Level for Reading Comprehension Based on Conceptual Graphs—0
Cut to the Chase: A Context Zoom-in Network for Reading Comprehension—0
A Coarse to Fine Question Answering System based on Reinforcement Learning—0
Internal and External Knowledge Interactive Refinement Framework for Knowledge-Intensive Question Answering—0
Curriculum Script Distillation for Multilingual Visual 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