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 3001–3050 of 10817 papers

TitleStatusHype
Learning Distributed Representations of Texts and Entities from Knowledge BaseCode0
Dialogue Benchmark Generation from Knowledge Graphs with Cost-Effective Retrieval-Augmented LLMsCode0
An Evaluation Framework for Attributed Information Retrieval using Large Language ModelsCode0
Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question AnsweringCode0
Learning Intrinsic Sparse Structures within Long Short-Term MemoryCode0
Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge BaseCode0
Learning content and context with language bias for Visual Question AnsweringCode0
A Neuro-Symbolic ASP Pipeline for Visual Question AnsweringCode0
Learning Conditioned Graph Structures for Interpretable Visual Question AnsweringCode0
Learning a Natural Language Interface with Neural ProgrammerCode0
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
Leap-LSTM: Enhancing Long Short-Term Memory for Text CategorizationCode0
BatchPrompt: Accomplish more with lessCode0
A Neural-Symbolic Approach to Natural Language UnderstandingCode0
DyGEnc: Encoding a Sequence of Textual Scene Graphs to Reason and Answer Questions in Dynamic ScenesCode0
Diagnosing Medical Datasets with Training DynamicsCode0
Diagnosing and Mitigating Modality Interference in Multimodal Large Language ModelsCode0
LayoutLMv3: Pre-training for Document AI with Unified Text and Image MaskingCode0
Learned in Translation: Contextualized Word VectorsCode0
Latent Alignment of Procedural Concepts in Multimodal RecipesCode0
Latent Alignment and Variational AttentionCode0
Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text?Code0
Barlow constrained optimization for Visual Question AnsweringCode0
Large-scale Exploration of Neural Relation Classification ArchitecturesCode0
Adversarial Multi-lingual Neural Relation ExtractionCode0
Large-scale Simple Question Answering with Memory NetworksCode0
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language ModelsCode0
Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-TuningCode0
Large Language Models Understand LayoutCode0
Detrimental Contexts in Open-Domain Question AnsweringCode0
Adversarial Feature Adaptation for Cross-lingual Relation ClassificationCode0
Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP ConceptsCode0
Large Language Models Need Holistically Thought in Medical Conversational QACode0
A Neural Named Entity Recognition and Multi-Type Normalization Tool for Biomedical Text MiningCode0
Large Models in Dialogue for Active Perception and Anomaly DetectionCode0
Detecting Temporal Ambiguity in QuestionsCode0
BAND: Biomedical Alert News DatasetCode0
TinyBERT: Distilling BERT for Natural Language UnderstandingCode0
Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based InferenceCode0
Adversarial Examples for Evaluating Reading Comprehension SystemsCode0
Large Language Models as Interpolated and Extrapolated Event PredictorsCode0
Biomedical Entity Linking as Multiple Choice Question AnsweringCode0
Dynamic Task and Weight Prioritization Curriculum Learning for Multimodal ImageryCode0
Large Language Models and Multimodal Retrieval for Visual Word Sense DisambiguationCode0
BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question AnsweringCode0
Language Models Still Struggle to Zero-shot Reason about Time SeriesCode0
DESIRE-ME: Domain-Enhanced Supervised Information REtrieval using Mixture-of-ExpertsCode0
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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