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 9351–9400 of 10817 papers

TitleStatusHype
Integrating Subject, Type, and Property Identification for Simple Question Answering over Knowledge Base—0
Integrating Vision and Language Datasets to Measure Word Concreteness—0
Intelligent information extraction based on artificial neural network—0
Intent Recognition in Conversational Recommender Systems—0
Interactive Attention AI to translate low light photos to captions for night scene understanding in women safety—0
Biomedical Evidence Generation Engine—0
Interactive-Chain-Prompting: Ambiguity Resolution for Crosslingual Conditional Generation with Interaction—0
InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extraction—0
Interactive Mongolian Question Answer Matching Model Based on Attention Mechanism in the Law Domain—0
Interactive Natural Language Query Construction for Report Generation—0
Interactive-Predictive Machine Translation based on Syntactic Constraints of Prefix—0
Interactive Question Answering Systems: Literature Review—0
Interactive Visual Task Learning for Robots—0
Interleaved Reasoning for Large Language Models via Reinforcement Learning—0
Intermediate Distillation: Data-Efficient Distillation from Black-Box LLMs for Information Retrieval—0
Internal and External Knowledge Interactive Refinement Framework for Knowledge-Intensive Question Answering—0
InternalInspector I^2: Robust Confidence Estimation in LLMs through Internal States—0
Internet-augmented language models through few-shot prompting for open-domain question answering—0
Interpretability Analysis of Domain Adapted Dense Retrievers—0
Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering—0
Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks—0
Dynamic Clue Bottlenecks: Towards Interpretable-by-Design Visual Question Answering—0
Interpretable Counting for Visual Question Answering—0
Interpretable Face Anti-Spoofing: Enhancing Generalization with Multimodal Large Language Models—0
Interpretable LLM-based Table Question Answering—0
Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning—0
Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering—0
Interpretable Neural Computation for Real-World Compositional Visual Question Answering—0
Interpretable Proof Generation via Iterative Backward Reasoning—0
Interpretable Question Answering on Knowledge Bases and Text—0
Interpretable Traces, Unexpected Outcomes: Investigating the Disconnect in Trace-Based Knowledge Distillation—0
Interpretable Visual Question Answering Referring to Outside Knowledge—0
Interpretable Visual Question Answering by Reasoning on Dependency Trees—0
Interpretable Visual Question Answering by Visual Grounding from Attention Supervision Mining—0
Interpretable Visual Question Answering via Reasoning Supervision—0
Interpretable Visual Reasoning via Probabilistic Formulation under Natural Supervision—0
Interpretation of Natural Language Rules in Conversational Machine Reading—0
Interpreting Anaphoric Shell Nouns using Antecedents of Cataphoric Shell Nouns as Training Data—0
Interpreting Attention Models with Human Visual Attention in Machine Reading Comprehension—0
Interpreting Consumer Health Questions: The Role of Anaphora and Ellipsis—0
Interpreting Questions with a Log-Linear Ranking Model in a Virtual Patient Dialogue System—0
Inter-Weighted Alignment Network for Sentence Pair Modeling—0
In-the-Wild Video Question Answering—0
Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis—0
Introducing "Forecast Utterance" for Conversational Data Science—0
Introducing RezoJDM16k: a French KnowledgeGraph DataSet for Link Prediction—0
Introducing Semantics into Speech Encoders—0
Introduction method for argumentative dialogue using paired question-answering interchange about personality—0
Introduction of a Probabilistic Language Model to Non-Factoid Question Answering Using Example Q\&A Pairs—0
Introduction to Neural Network based Approaches for Question Answering over Knowledge Graphs—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