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 6551–6575 of 10817 papers

TitleStatusHype
MUCS@TechDOfication using FineTuned Vectors and n-grams—0
Detecting Subevent Structure for Event Coreference Resolution—0
Muffin or Chihuahua? Challenging Multimodal Large Language Models with Multipanel VQA—0
Detecting Spammers in Community Question Answering—0
Detecting Semantically Equivalent Questions in Online User Forums—0
Language Portability for Dialogue Systems: Translating a Question-Answering System from English into Tamil—0
MULTI3NLU++: A Multilingual, Multi-Intent, Multi-Domain Dataset for Natural Language Understanding in Task-Oriented Dialogue—0
Language Models with Rationality—0
Language Models sounds the Death Knell of Knowledge Graphs—0
Language Models Benefit from Preparation with Elicited Knowledge—0
Multi-agent query reformulation: Challenges and the role of diversity—0
Multi-Agents Based on Large Language Models for Knowledge-based Visual Question Answering—0
Detecting Bot-Answerable Questions in Ubuntu Chat—0
Balancing Performance and Efficiency in Zero-shot Robotic Navigation—0
Multi-Cast Attention Networks for Retrieval-based Question Answering and Response Prediction—0
Multichannel LSTM-CNN for Telugu Technical Domain Identification—0
A Neural Model for Joint Document and Snippet Ranking in Question Answering for Large Document Collections—0
A Neural Method for Goal-Oriented Dialog Systems to interact with Named Entities—0
Detecting Asymmetric Semantic Relations in Context: A Case-Study on Hypernymy Detection—0
Multi-CLIP: Contrastive Vision-Language Pre-training for Question Answering tasks in 3D Scenes—0
Language Models as Fact Checkers?—0
Detecting and Resolving Shell Nouns in German—0
Language Models as a Knowledge Source for Cognitive Agents—0
Multi-Document Financial Question Answering using LLMs—0
Detecting and Evaluating Medical Hallucinations in Large Vision Language Models—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