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 6601–6650 of 10817 papers

TitleStatusHype
On Measuring Social Biases in Prompt-Based Learning—0
Consecutive Question Generation with Multitask Joint Reranking and Dynamic Rationale Search—0
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning—0
Natural Language Deduction through Search over Statement Compositions—0
Tapping BERT for Preposition Sense Disambiguation—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
Towards Automated Error Analysis: Learning to Characterize Errors—0
Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer Explanation—0
Uni-EDEN: Universal Encoder-Decoder Network by Multi-Granular Vision-Language Pre-training—0
On the Efficacy of Co-Attention Transformer Layers in Visual Question Answering—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
Query and Attention Augmentation for Knowledge-Based Explainable ReasoningCode0
Transform-Retrieve-Generate: Natural Language-Centric Outside-Knowledge Visual Question Answering—0
Towards General Purpose Vision Systems: An End-to-End Task-Agnostic Vision-Language Architecture—0
V-Doc: Visual Questions Answers With Documents—0
Zero-shot Commonsense Question Answering with Cloze Translation and Consistency OptimizationCode0
OpenQA: Hybrid QA System Relying on Structured Knowledge Base as well as Non-structured Data—0
What is Event Knowledge Graph: A Survey—0
Does QA-based intermediate training help fine-tuning language models for text classification?—0
The University of Texas at Dallas HLTRI's Participation in EPIC-QA: Searching for Entailed Questions Revealing Novel Answer Nuggets—0
Towards Personalized Answer Generation in E-Commerce via Multi-Perspective Preference ModelingCode0
"A Passage to India": Pre-trained Word Embeddings for Indian Languages—0
Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?—0
Multi-Image Visual Question AnsweringCode0
A Survey on non-English Question Answering Dataset—0
HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph ModelingCode0
Graph Collaborative Reasoning—0
ArT: All-round Thinker for Unsupervised Commonsense Question-AnsweringCode0
New Methods & Metrics for LFQA tasks—0
PerCQA: Persian Community Question Answering Dataset—0
Agent Smith: Teaching Question Answering to Jill Watson—0
An Inference Approach To Question Answering Over Knowledge Graphs—0
An ASP-based Approach to Answering Natural Language Questions for Texts—0
General Greedy De-bias LearningCode0
Task-Oriented Multi-User Semantic Communications—0
Cascading Adaptors to Leverage English Data to Improve Performance of Question Answering for Low-Resource LanguagesCode0
Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive Survey—0
TASA: Twin Answer Sentences Attack for Adversarial Context Generation in Question Answering—0
Understanding Attention for Vision-and-Language Tasks—0
Reasoning Chain Based Adversarial Attack for Multi-hop Question Answering—0
Explanation as Question Answering based on Design Knowledge—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