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 9201–9250 of 10817 papers

TitleStatusHype
Cross-Pair Text Representations for Answer Sentence SelectionCode0
Is That Your Final Answer? Test-Time Scaling Improves Selective Question AnsweringCode0
Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch CorrectnessCode0
Cross-Modal Contrastive Learning for Robust Reasoning in VQACode0
BioRead: A New Dataset for Biomedical Reading ComprehensionCode0
Hierarchical Transformer for Task Oriented Dialog SystemsCode0
Accurate and Nuanced Open-QA Evaluation Through Textual EntailmentCode0
Hierarchical Memory Networks for Answer Selection on Unknown WordsCode0
Q-NL Verifier: Leveraging Synthetic Data for Robust Knowledge Graph Question AnsweringCode0
Iterative Alternating Neural Attention for Machine ReadingCode0
BioRAGent: A Retrieval-Augmented Generation System for Showcasing Generative Query Expansion and Domain-Specific Search for Scientific Q&ACode0
Cross-Lingual Training for Automatic Question GenerationCode0
Transformers in the Service of Description Logic-based ContextsCode0
BioMedLAT Corpus: Annotation of the Lexical Answer Type for Biomedical QuestionsCode0
Hierarchical Graph Network for Multi-hop Question AnsweringCode0
An Evaluation Framework for Attributed Information Retrieval using Large Language ModelsCode0
A Lightweight Method to Generate Unanswerable Questions in EnglishCode0
Modularized Zero-shot VQA with Pre-trained ModelsCode0
Cross-Lingual Text-Rich Visual Comprehension: An Information Theory PerspectiveCode0
PaniniQA: Enhancing Patient Education Through Interactive Question AnsweringCode0
Modulating early visual processing by languageCode0
Biomedical Named Entity Recognition at ScaleCode0
Biomedical Knowledge Graph Embeddings with Negative StatementsCode0
Cross-Lingual Question Answering over Knowledge Base as Reading ComprehensionCode0
IUCM at SemEval-2018 Task 11: Similar-Topic Texts as a Comprehension Knowledge SourceCode0
A Language for Function Signature RepresentationsCode0
Cross-lingual Information Retrieval with BERTCode0
P NP, at least in Visual Question AnsweringCode0
Jack the Reader -- A Machine Reading FrameworkCode0
Hierarchical Deep Multi-modal Network for Medical Visual Question AnsweringCode0
MoleculeQA: A Dataset to Evaluate Factual Accuracy in Molecular ComprehensionCode0
Biomedical Event Extraction as Multi-turn Question AnsweringCode0
Targeted Visual Prompting for Medical Visual Question AnsweringCode0
HICD: Hallucination-Inducing via Attention Dispersion for Contrastive Decoding to Mitigate Hallucinations in Large Language ModelsCode0
HeySQuAD: A Spoken Question Answering DatasetCode0
TinyBERT: Distilling BERT for Natural Language UnderstandingCode0
ACCEPT: Adaptive Codebook for Composite and Efficient Prompt TuningCode0
Monitoring Decomposition Attacks in LLMs with Lightweight Sequential MonitorsCode0
Cross-lingual Inference with A Chinese Entailment GraphCode0
Biomedical Entity Linking as Multiple Choice Question AnsweringCode0
Monolingual or Multilingual Instruction Tuning: Which Makes a Better AlpacaCode0
BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical ScienceCode0
HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph ModelingCode0
JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering CapabilityCode0
JNLP Team: Deep Learning for Legal Processing in COLIEE 2020Code0
Functorial Question AnsweringCode0
"John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of FeasibilityCode0
Joint Answering and Explanation for Visual Commonsense ReasoningCode0
CROPE: Evaluating In-Context Adaptation of Vision and Language Models to Culture-Specific ConceptsCode0
CRiskEval: A Chinese Multi-Level Risk Evaluation Benchmark Dataset for Large Language ModelsCode0
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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