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 6251–6275 of 10817 papers

TitleStatusHype
How to Evaluate Opinionated Keyphrase Extraction?—0
Metaethical Perspectives on 'Benchmarking' AI Ethics—0
Continually Self-Improving Language Models for Bariatric Surgery Question--Answering—0
Metaheuristic Approaches to Lexical Substitution and Simplification—0
A Few-Shot Learning Focused Survey on Recent Named Entity Recognition and Relation Classification Methods—0
MetaICL: Learning to Learn In Context—0
EfficientEQA: An Efficient Approach for Open Vocabulary Embodied Question Answering—0
A corpus of general and specific sentences from news—0
Modeling Exemplification in Long-form Question Answering via Retrieval—0
Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer—0
Efficient Global Learning of Entailment Graphs—0
Meta-prompting Optimized Retrieval-augmented Generation—0
Modeling Multi-hop Question Answering as Single Sequence Prediction—0
MetaQA: Combining Expert Agents for Multi-Skill Question Answering—0
MetaReflection: Learning Instructions for Language Agents using Past Reflections—0
MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification—0
A Survey on Recent Advances in Sequence Labeling from Deep Learning Models—0
How to Design Sample and Computationally Efficient VQA Models—0
Method of Tibetan Person Knowledge Extraction—0
Methods Combination and ML-based Re-ranking of Multiple Hypothesis for Question-Answering Systems—0
Modeling Context in Answer Sentence Selection Systems on a Latency Budget—0
How to Build an AI Tutor That Can Adapt to Any Course Using Knowledge Graph-Enhanced Retrieval-Augmented Generation (KG-RAG)—0
Continual Learning for Temporal-Sensitive Question Answering—0
Modeling Coreference Relations in Visual Dialog—0
How Susceptible are LLMs to Influence in Prompts?—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