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 6601–6625 of 10817 papers

TitleStatusHype
Context-guided Triple Matching for Multiple Choice Question Answering—0
Natural Language Deduction through Search over Statement Compositions—0
Consecutive Question Generation with Multitask Joint Reranking and Dynamic Rationale Search—0
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning—0
Table Retrieval Does Not Necessitate Table-specific Model Design—0
CLIP-TD: CLIP Targeted Distillation for Vision-Language Tasks—0
A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge BasesCode0
Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering SystemsCode0
Reasoning over Hybrid Chain for Table-and-Text Open Domain QA—0
A Thousand Words Are Worth More Than a Picture: Natural Language-Centric Outside-Knowledge Visual Question Answering—0
Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer Explanation—0
Towards Automated Error Analysis: Learning to Characterize Errors—0
On the Efficacy of Co-Attention Transformer Layers in Visual Question Answering—0
Uni-EDEN: Universal Encoder-Decoder Network by Multi-Granular Vision-Language Pre-training—0
COIN: Counterfactual Image Generation for VQA Interpretation—0
Extraction of Product Specifications from the Web -- Going Beyond Tables and Lists—0
Development of an Extractive Clinical Question Answering Dataset with Multi-Answer and Multi-Focus Questions—0
Multi Document Reading Comprehension—0
Does Entity Abstraction Help Generative Transformers Reason?—0
Interactive Attention AI to translate low light photos to captions for night scene understanding in women safety—0
V-Doc: Visual Questions Answers With Documents—0
Towards General Purpose Vision Systems: An End-to-End Task-Agnostic Vision-Language Architecture—0
Query and Attention Augmentation for Knowledge-Based Explainable ReasoningCode0
Zero-shot Commonsense Question Answering with Cloze Translation and Consistency OptimizationCode0
Transform-Retrieve-Generate: Natural Language-Centric Outside-Knowledge Visual Question Answering—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