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 8951–8975 of 10817 papers

TitleStatusHype
OpenTable-R1: A Reinforcement Learning Augmented Tool Agent for Open-Domain Table Question AnsweringCode0
Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question PromptsCode0
Aspect-based Sentiment Analysis in Question Answering ForumsCode0
Did the Model Understand the Question?Code0
MIMO: A Medical Vision Language Model with Visual Referring Multimodal Input and Pixel Grounding Multimodal OutputCode0
Answer Complex Questions: Path Ranker Is All You NeedCode0
QuASE: Question-Answer Driven Sentence EncodingCode0
OpenViVQA: Task, Dataset, and Multimodal Fusion Models for Visual Question Answering in VietnameseCode0
A Comparative Study of Question Answering over Knowledge BasesCode0
Combining Data Generation and Active Learning for Low-Resource Question AnsweringCode0
Open-Vocabulary Semantic Parsing with both Distributional Statistics and Formal KnowledgeCode0
In-Context Principle Learning from MistakesCode0
Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligenceCode0
Dice Loss for Data-imbalanced NLP TasksCode0
Dialogue Benchmark Generation from Knowledge Graphs with Cost-Effective Retrieval-Augmented LLMsCode0
Building a Swedish Question-Answering ModelCode0
Incorporating Label Dependency for Answer Quality Tagging in Community Question Answering via CNN-LSTM-CRFCode0
Building a Non-Trivial Paraphrase Corpus Using Multiple Machine Translation SystemsCode0
Incorporating Probing Signals into Multimodal Machine Translation via Visual Question-Answering PairsCode0
Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge BaseCode0
Improving language models by retrieving from trillions of tokensCode0
OPERA: Harmonizing Task-Oriented Dialogs and Information Seeking ExperienceCode0
Diagnosing Medical Datasets with Training DynamicsCode0
Improving Knowledge-aware Dialogue Generation via Knowledge Base Question AnsweringCode0
Improving Health Question Answering with Reliable and Time-Aware Evidence RetrievalCode0
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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