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 6351–6375 of 10817 papers

TitleStatusHype
How Much Can CLIP Benefit Vision-and-Language Tasks?—0
Contextual LSTM (CLSTM) models for Large scale NLP tasks—0
Miutsu: NTU's TaskBot for the Alexa Prize—0
MIVC: Multiple Instance Visual Component for Visual-Language Models—0
MIX : a Multi-task Learning Approach to Solve Open-Domain Question Answering—0
Mixed Membership Markov Models for Unsupervised Conversation Modeling—0
Multi-hop Question Answering—0
A Multi-strategy Query Processing Approach for Biomedical Question Answering: USTB\_PRIR at BioASQ 2017 Task 5B—0
How good are Large Language Models on African Languages?—0
Mixing in Some Knowledge: Enriched Context Patterns for Bayesian Word Sense Induction—0
MixKMeans: Clustering Question-Answer Archives—0
MRC-based Medical NER with Multi-task Learning and Multi-strategies—0
Cofca: A Step-Wise Counterfactual Multi-hop QA benchmark—0
How good are deep models in understanding the generated images?—0
How Generative-AI can be Effectively used in Government Chatbots—0
A Survey on Legal Question Answering Systems—0
How Far Can Off-the-Shelf Multimodal Large Language Models Go in Online Episodic Memory Question Answering?—0
Contextualized Query Embeddings for Conversational Search—0
A Multi-Stage Memory Augmented Neural Network for Machine Reading Comprehension—0
Mixture of Rationale: Multi-Modal Reasoning Mixture for Visual Question Answering—0
ElectroVizQA: How well do Multi-modal LLMs perform in Electronics Visual Question Answering?—0
m-KAILIN: Knowledge-Driven Agentic Scientific Corpus Distillation Framework for Biomedical Large Language Models Training—0
MKG-Rank: Enhancing Large Language Models with Knowledge Graph for Multilingual Medical Question Answering—0
Addressing Hallucinations with RAG and NMISS in Italian Healthcare LLM Chatbots—0
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge—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