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 6101–6150 of 10817 papers

TitleStatusHype
Discovering Fine-Grained Semantics in Knowledge Graph Relations—0
Discovering Bias in Latent Space: An Unsupervised Debiasing Approach—0
An experimental study of the vision-bottleneck in VQA—0
Learning Semantic Structure through First-Order-Logic Translation—0
Learning Semantic Relatedness in Community Question Answering Using Neural Models—0
Discovering Better Model Architectures for Medical Query Understanding—0
M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains—0
MCQA: Multimodal Co-attention Based Network for Question Answering—0
Learning Scalar Adjective Intensity from Paraphrases—0
MCSFF: Multi-modal Consistency and Specificity Fusion Framework for Entity Alignment—0
MCTS-KBQA: Monte Carlo Tree Search for Knowledge Base Question Answering—0
Discourse-sensitive Automatic Identification of Generic Expressions—0
Learning Rich Representation of Keyphrases from Text—0
Learning Rich Image Region Representation for Visual Question Answering—0
Learning Representations of Entities and Relations—0
Discourse Parsing with Attention-based Hierarchical Neural Networks—0
Benchmarking Foundation Models with Language-Model-as-an-Examiner—0
An Exam-based Evaluation Approach Beyond Traditional Relevance Judgments—0
Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization—0
Measuring an Artificial Intelligence System's Performance on a Verbal IQ Test For Young Children—0
Learning Representations for Zero-Shot Retrieval over Structured Data—0
Learning Representations and Agents for Information Retrieval—0
Discourse Complements Lexical Semantics for Non-factoid Answer Reranking—0
Measuring CLEVRness: Black-box Testing of Visual Reasoning Models—0
Measuring CLEVRness: Blackbox testing of Visual Reasoning Models—0
Measuring Compositional Consistency for Video Question Answering—0
Discourse-Based Approach to Involvement of Background Knowledge for Question Answering—0
Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues—0
Learning Rank Functionals: An Empirical Study—0
Discourse-Aware Graph Networks for Textual Logical Reasoning—0
Benchmarking Biopharmaceuticals Retrieval-Augmented Generation Evaluation—0
A New Semantic Lexicon and Similarity Measure in Bangla—0
Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models—0
Measuring Popularity of Machine-Generated Sentences Using Term Count, Document Frequency, and Dependency Language Model—0
A Comprehensive Evaluation of Large Language Models on Temporal Event Forecasting—0
Learning Question-Guided Video Representation for Multi-Turn Video Question Answering—0
Learning Online Alignments with Continuous Rewards Policy Gradient—0
Measuring Sentences Similarity: A Survey—0
Discourse Analysis and Its Applications—0
Measuring the Limit of Semantic Divergence for English Tweets.—0
MEBench: Benchmarking Large Language Models for Cross-Document Multi-Entity Question Answering—0
Benchmarking Answer Verification Methods for Question Answering-Based Summarization Evaluation Metrics—0
Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering—0
Learning Knowledge Graphs for Question Answering through Conversational Dialog—0
Discontinuous Genitives in Hindi/Urdu—0
Learning Hybrid Representations to Retrieve Semantically Equivalent Questions—0
DiscoGraMS: Enhancing Movie Screen-Play Summarization using Movie Character-Aware Discourse Graph—0
Benchmarking Answer Verification Methods for Question Answering-Based Summarization Evaluation Metrics—0
A New Neural Search and Insights Platform for Navigating and Organizing AI Research—0
Learning How To Ask: Cycle-Consistency Refines Prompts in Multimodal Foundation Models—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