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 4601–4650 of 10817 papers

TitleStatusHype
Extracting Spatial Entities and Relations in Korean Text—0
Extracting Semantics from Maintenance Records—0
ARES: A Reading Comprehension Ensembling Service—0
Extracting Psychological Indicators Using Question Answering—0
Extracting Procedural Knowledge from Technical Documents—0
Extracting Opinion Expressions with semi-Markov Conditional Random Fields—0
Extracting News Web Page Creation Time with DCTFinder—0
Characterizing Video Question Answering with Sparsified Inputs—0
Are Sample-Efficient NLP Models More Robust?—0
Al-Bayan: An Arabic Question Answering System for the Holy Quran—0
Extracting Factual Min/Max Age Information from Clinical Trial Studies—0
Extracting Emotion Phrases from Tweets using BART—0
Extracting Definitions and Hypernym Relations relying on Syntactic Dependencies and Support Vector Machines—0
Characterizing Misclassifications of Deep NLP Models—0
Extracting Context-Rich Entailment Rules from Wikipedia Revision History—0
EKTVQA: Generalized use of External Knowledge to empower Scene Text in Text-VQA—0
Characterizing Interactions and Relationships between People—0
Extending the Frontier of ChatGPT: Code Generation and Debugging—0
Extending Neural Question Answering with Linguistic Input Features—0
Characterizing Datasets for Social Visual Question Answering, and the New TinySocial Dataset—0
A Reranking Model for Discourse Segmentation using Subtree Features—0
Extended Named Entity Recognition API and Its Applications in Language Education—0
EXPR at SemEval-2018 Task 9: A Combined Approach for Hypernym Discovery—0
Exploring Weaknesses of VQA Models through Attribution Driven Insights—0
Character based String Kernels for Bio-Entity Relation Detection—0
Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan—0
Al-Bayan: A Knowledge-based System for Arabic Answer Selection—0
ALAS: Measuring Latent Speech-Text Alignment For Spoken Language Understanding In Multimodal LLMs—0
Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task—0
Beyond Prompting: An Efficient Embedding Framework for Open-Domain Question Answering—0
How Additional Knowledge can Improve Natural Language Commonsense Question Answering?—0
Character-Aware Neural Networks for Arabic Named Entity Recognition for Social Media—0
Exploring the Viability of Synthetic Query Generation for Relevance Prediction—0
Changing Answer Order Can Decrease MMLU Accuracy—0
Exploring The Spatial Reasoning Ability of Neural Models in Human IQ Tests—0
Exploring the Role of Knowledge Graph-Based RAG in Japanese Medical Question Answering with Small-Scale LLMs—0
Are Multilingual BERT models robust? A Case Study on Adversarial Attacks for Multilingual Question Answering—0
Do Large Language Models have Shared Weaknesses in Medical Question Answering?—0
Exploring The Landscape of Distributional Robustness for Question Answering Models—0
Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs—0
Challenging Reading Comprehension on Daily Conversation: Passage Completion on Multiparty Dialog—0
Are LLMs Really Not Knowledgable? Mining the Submerged Knowledge in LLMs' Memory—0
Exploring the In-context Learning Ability of Large Language Model for Biomedical Concept Linking—0
Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data—0
Challenges of GPT-3-based Conversational Agents for Healthcare—0
Exploring the Impact of Occupational Personas on Domain-Specific QA—0
Exploring the Ideal Depth of Neural Network when Predicting Question Deletion on Community Question Answering—0
Challenges in Information-Seeking QA: Unanswerable Questions and Paragraph Retrieval—0
A Relational Tsetlin Machine with Applications to Natural Language Understanding—0
A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM—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