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 4626–4650 of 10817 papers

TitleStatusHype
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