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 4351–4400 of 10817 papers

TitleStatusHype
CLEAR: Contrastive Learning for Sentence Representation—0
AsdKB: A Chinese Knowledge Base for the Early Screening and Diagnosis of Autism Spectrum Disorder—0
FinMath: Injecting a Tree-structured Solver for Question Answering over Financial Reports—0
FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models—0
Fine-tuning vs From Scratch: Do Vision & Language Models Have Similar Capabilities on Out-of-Distribution Visual Question Answering?—0
CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering—0
A scoping review on multimodal deep learning in biomedical images and texts—0
Fine-tuning Transformer-based Encoder for Turkish Language Understanding Tasks—0
Fine-tuning Strategies for Domain Specific Question Answering under Low Annotation Budget Constraints—0
Clause-based Discourse Segmentation of Arabic Texts—0
Fine-tuning Strategies for Domain Specific Question Answering under Low Annotation Budget Constraints—0
Fine-tuning Smaller Language Models for Question Answering over Financial Documents—0
Claude 3.5 Sonnet Model Card Addendum—0
ASBERT: Siamese and Triplet network embedding for open question answering—0
Aligning Verb Senses in Two Italian Lexical Semantic Resources—0
Adapting Pre-trained Generative Models for Extractive Question Answering—0
Correlation Information Bottleneck: Towards Adapting Pretrained Multimodal Models for Robust Visual Question Answering—0
Fine-tuning Pre-trained Named Entity Recognition Models For Indian Languages—0
Class-Imbalanced-Aware Adaptive Dataset Distillation for Scalable Pretrained Model on Credit Scoring—0
Improving Pre-trained Language Model Fine-tuning with Noise Stability Regularization—0
Fine-tuning Multi-hop Question Answering with Hierarchical Graph Network—0
Classifying Temporal Relations by Bidirectional LSTM over Dependency Paths—0
Fine-Tuning LLMs for Reliable Medical Question-Answering Services—0
Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths—0
Fine-tuning Large Language Models with Sequential Instructions—0
Classifying Questions in Question Answering System Using Finite State Machines with a Simple Learning Approach—0
Aligning Text, Images, and 3D Structure Token-by-Token—0
Fine-Tuning Large Language Models for Answering Programming Questions with Code Snippets—0
Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes—0
Classifying Inconsistencies in DBpedia Language Specific Chapters—0
Finetuning Language Models to Emit Linguistic Expressions of Uncertainty—0
Classifier Combination Approach for Question Classification for Bengali Question Answering System—0
Fine-tuning and aligning question answering models for complex information extraction tasks—0
Fine-tune BERT with Sparse Self-Attention Mechanism—0
Artificial Intelligence (AI) in Action: Addressing the COVID-19 Pandemic with Natural Language Processing (NLP)—0
Aligning Opinions: Cross-Lingual Opinion Mining with Dependencies—0
Adapting LLMs to Hebrew: Unveiling DictaLM 2.0 with Enhanced Vocabulary and Instruction Capabilities—0
A Birds Eye View on Knowledge Graph Embeddings, Software Libraries, Applications and Challenges—0
FINET: Context-Aware Fine-Grained Named Entity Typing—0
Finely Tuned, 2 Billion Token Based Word Embeddings for Portuguese—0
Classification of Attributes in a Natural Language Query into Different SQL Clauses—0
Fine-grained Structure-based News Genre Categorization—0
Fine-grained Semantic Textual Similarity for Serbian—0
Classification Betters Regression in Query-based Multi-document Summarisation Techniques for Question Answering: Macquarie University at BioASQ7b—0
Fine-Grained Retrieval-Augmented Generation for Visual Question Answering—0
Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings—0
Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs—0
Artefact Retrieval: Overview of NLP Models with Knowledge Base Access—0
CLAM: Selective Clarification for Ambiguous Questions with Generative Language Models—0
Fine-Grained Discourse Structures in Continuation Semantics—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