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 2951–3000 of 10817 papers

TitleStatusHype
Learning from Explanations with Neural Execution TreeCode0
Learning Representation Mapping for Relation Detection in Knowledge Base Question AnsweringCode0
Beyond Seen Data: Improving KBQA Generalization Through Schema-Guided Logical Form GenerationCode0
Learning Relation Entailment with Structured and Textual InformationCode0
Learning Representations of Sets through Optimized PermutationsCode0
Learning Recurrent Span Representations for Extractive Question AnsweringCode0
Learning to Answer Biomedical Questions: OAQA at BioASQ 4BCode0
Learning to Exploit Structured Resources for Lexical InferenceCode0
Diffusion-Refined VQA Annotations for Semi-Supervised Gaze FollowingCode0
Difficult Task Yes but Simple Task No: Unveiling the Laziness in Multimodal LLMsCode0
BEEDS: Large-Scale Biomedical Event Extraction using Distant Supervision and Question AnsweringCode0
Measuring Free-Form Decision-Making Inconsistency of Language Models in Military Crisis SimulationsCode0
Learning from Lexical Perturbations for Consistent Visual Question AnsweringCode0
Differentiating Choices via Commonality for Multiple-Choice Question AnsweringCode0
Dr3: Ask Large Language Models Not to Give Off-Topic Answers in Open Domain Multi-Hop Question AnsweringCode0
DragonVerseQA: Open-Domain Long-Form Context-Aware Question-AnsweringCode0
Learning Distributed Representations of Texts and Entities from Knowledge BaseCode0
Differential Attention for Visual Question AnsweringCode0
Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question AnsweringCode0
Learning Intrinsic Sparse Structures within Long Short-Term MemoryCode0
An Open Source Contractual Language Understanding Application Using Machine LearningCode0
Differentiable Outlier Detection Enable Robust Deep Multimodal AnalysisCode0
Learning Conditioned Graph Structures for Interpretable Visual Question AnsweringCode0
Learning content and context with language bias for Visual Question AnsweringCode0
Learning a Natural Language Interface with Neural ProgrammerCode0
Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset ConstructionCode0
Learning a Cost-Effective Annotation Policy for Question AnsweringCode0
Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning TaskCode0
Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language ReasoningCode0
Learning Musical Representations for Music Performance Question AnsweringCode0
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over ParagraphsCode0
Drop Dropout on Single-Epoch Language Model PretrainingCode0
Did the Model Understand the Question?Code0
DRS: Deep Question Reformulation With Structured OutputCode0
Dice Loss for Data-imbalanced NLP TasksCode0
LayoutLMv3: Pre-training for Document AI with Unified Text and Image MaskingCode0
Leap-LSTM: Enhancing Long Short-Term Memory for Text CategorizationCode0
Dialogue Benchmark Generation from Knowledge Graphs with Cost-Effective Retrieval-Augmented LLMsCode0
An Evaluation Framework for Attributed Information Retrieval using Large Language ModelsCode0
Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge BaseCode0
Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text?Code0
A Neuro-Symbolic ASP Pipeline for Visual Question AnsweringCode0
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language ModelsCode0
Large-scale Simple Question Answering with Memory NetworksCode0
Latent Alignment and Variational AttentionCode0
Dual Attention Networks for Multimodal Reasoning and MatchingCode0
Latent Alignment of Procedural Concepts in Multimodal RecipesCode0
BatchPrompt: Accomplish more with lessCode0
Large Models in Dialogue for Active Perception and Anomaly DetectionCode0
A Neural-Symbolic Approach to Natural Language UnderstandingCode0
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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