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

Showing 80518100 of 10817 papers

TitleStatusHype
Recent Progress in Deep Learning for NLP0
Recent, rapid advancement in visual question answering architecture: a review0
Receptivity of an AI Cognitive Assistant by the Radiology Community: A Report on Data Collected at RSNA0
RECIPE: Applying Open Domain Question Answering to Privacy Policies0
Recipe Instruction Semantics Corpus (RISeC): Resolving Semantic Structure and Zero Anaphora in Recipes0
Reciprocal Attention Fusion for Visual Question Answering0
RelTextRank: An Open Source Framework for Building Relational Syntactic-Semantic Text Pair Representations0
RELLY: Inferring Hypernym Relationships Between Relational Phrases0
Comparing Word Representations for Implicit Discourse Relation Classification0
ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving0
RelNet: End-to-End Modeling of Entities & Relations0
Recognition of Polish Temporal Expressions0
GlossBoot: Bootstrapping Multilingual Domain Glossaries from the Web0
Comparing Recurrent and Convolutional Architectures for English-Hindi Neural Machine Translation0
Recognizing Implied Predicate-Argument Relationships in Textual Inference0
Recognizing Multimodal Entailment0
Assessing the Robustness of Visual Question Answering Models0
Recognizing Textual Entailment Using Probabilistic Inference0
From Easy to Hard: Two-stage Selector and Reader for Multi-hop Question Answering0
Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models0
ReLoop: "Seeing Twice and Thinking Backwards" via Closed-loop Training to Mitigate Hallucinations in Multimodal understanding0
GLoMo: Unsupervised Learning of Transferable Relational Graphs0
RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering0
Global Thread-Level Inference for Comment Classification in Community Question Answering0
Recovering Question Answering Errors via Query Revision0
Recurrent and Contextual Models for Visual Question Answering0
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project0
A Case Study Towards Turkish Paraphrase Alignment0
Recurrent Neural Network Encoder with Attention for Community Question Answering0
Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs0
From Images to Textual Prompts: Zero-Shot Visual Question Answering With Frozen Large Language Models0
Recursively Summarizing Books with Human Feedback0
Assessing the Robustness of Retrieval-Augmented Generation Systems in K-12 Educational Question Answering with Knowledge Discrepancies0
Recursive Tree-Structured Self-Attention for Answer Sentence Selection0
From Image to Language: A Critical Analysis of Visual Question Answering (VQA) Approaches, Challenges, and Opportunities0
Global Inference to Chinese Temporal Relation Extraction0
Red Dragon AI at TextGraphs 2020 Shared Task: LIT : LSTM-Interleaved Transformer for Multi-Hop Explanation Ranking0
Red Dragon AI at TextGraphs 2020 Shared Task : LIT : LSTM-Interleaved Transformer for Multi-Hop Explanation Ranking0
ReDecode Framework for Iterative Improvement in Paraphrase Generation0
Redefining Information Retrieval of Structured Database via Large Language Models0
From Known to the Unknown: Transferring Knowledge to Answer Questions about Novel Visual and Semantic Concepts0
RedStone: Curating General, Code, Math, and QA Data for Large Language Models0
Reliable, Adaptable, and Attributable Language Models with Retrieval0
Reducing Hallucinations: Enhancing VQA for Flood Disaster Damage Assessment with Visual Contexts0
Assessing The Potential Of Mid-Sized Language Models For Clinical QA0
GLiNER multi-task: Generalist Lightweight Model for Various Information Extraction Tasks0
Comparative Analysis of Retrieval Systems in the Real World0
Generating Question Relevant Captions to Aid Visual Question Answering0
Redundancy Localization for the Conversationalization of Unstructured Responses0
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94Unverified
2FPNet (ensemble)EM90.87Unverified
3IE-NetV2 (ensemble)EM90.86Unverified
4SA-Net on Albert (ensemble)EM90.72Unverified
5SA-Net-V2 (ensemble)EM90.68Unverified
6FPNet (ensemble)EM90.6Unverified
7Retro-Reader (ensemble)EM90.58Unverified
8EntitySpanFocusV2 (ensemble)EM90.52Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49Unverified
10EntitySpanFocus+AT (ensemble)EM90.45Unverified