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 5701–5750 of 10817 papers

TitleStatusHype
MaMMUT: A Simple Architecture for Joint Learning for MultiModal TasksCode0
Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding—0
Comparative Analysis of CHATGPT and the evolution of language models—0
ChatGPT as a Factual Inconsistency Evaluator for Text Summarization—0
Curriculum Learning for Compositional Visual Reasoning—0
DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge GraphCode0
GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question AnsweringCode0
Explainable Semantic Communication for Text Tasks—0
Integrating Image Features with Convolutional Sequence-to-sequence Network for Multilingual Visual Question AnsweringCode0
Salient Span Masking for Temporal Understanding—0
GrapeQA: GRaph Augmentation and Pruning to Enhance Question-Answering—0
PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing—0
On-the-fly Text Retrieval for End-to-End ASR Adaptation—0
3D Concept Learning and Reasoning from Multi-View Images—0
FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering—0
A Graph-Guided Reasoning Approach for Open-ended Commonsense Question Answering—0
An Empirical Study of Pre-trained Language Models in Simple Knowledge Graph Question AnsweringCode0
Generate, Transform, Answer: Question Specific Tool Synthesis for Tabular Data—0
Logical Implications for Visual Question Answering ConsistencyCode0
Secret-Keeping in Question Answering—0
Vision-Language Models as Success Detectors—0
Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images—0
Polar-VQA: Visual Question Answering on Remote Sensed Ice sheet Imagery from Polar Region—0
Generating multiple-choice questions for medical question answering with distractors and cue-masking—0
LUKE-Graph: A Transformer-based Approach with Gated Relational Graph Attention for Cloze-style Reading Comprehension—0
MuLTI: Efficient Video-and-Language Understanding with Text-Guided MultiWay-Sampler and Multiple Choice Modeling—0
Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning—0
Can a Frozen Pretrained Language Model be used for Zero-shot Neural Retrieval on Entity-centric Questions?—0
Toward Unsupervised Realistic Visual Question Answering—0
Does Synthetic Data Generation of LLMs Help Clinical Text Mining?—0
Interpretable Visual Question Answering Referring to Outside Knowledge—0
Comprehensive Event Representations using Event Knowledge Graphs and Natural Language Processing—0
Exploring the Feasibility of ChatGPT for Event Extraction—0
Graph Neural Networks in Vision-Language Image Understanding: A Survey—0
Video Question Answering Using CLIP-Guided Visual-Text Attention—0
AmQA: Amharic Question Answering Dataset—0
Knowledge-Based Counterfactual Queries for Visual Question Answering—0
VTQA: Visual Text Question Answering via Entity Alignment and Cross-Media ReasoningCode0
Discovery and Recognition of Formula Concepts using Machine LearningCode0
Can BERT Refrain from Forgetting on Sequential Tasks? A Probing StudyCode0
QAID: Question Answering Inspired Few-shot Intent Detection—0
Almanac: Retrieval-Augmented Language Models for Clinical Medicine—0
OEKG: The Open Event Knowledge Graph—0
VQA with Cascade of Self- and Co-Attention Blocks—0
Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets—0
Language Is Not All You Need: Aligning Perception with Language Models—0
CLICKER: Attention-Based Cross-Lingual Commonsense Knowledge Transfer—0
Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models—0
Bayesian Networks for Named Entity Prediction in Programming Community Question Answering—0
Cross-Lingual Question Answering over Knowledge Base as Reading ComprehensionCode0
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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