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 9101–9150 of 10817 papers

TitleStatusHype
Outside Knowledge Conversational Video (OKCV) Dataset -- Dialoguing over VideosCode0
Declarative Knowledge Distillation from Large Language Models for Visual Question Answering DatasetsCode0
Bridging Languages through Images with Deep Partial Canonical Correlation AnalysisCode0
Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial ApproachCode0
DCQA: Document-Level Chart Question Answering towards Complex Reasoning and Common-Sense UnderstandingCode0
A Simple Baseline for Knowledge-Based Visual Question AnsweringCode0
A Claim Decomposition Benchmark for Long-form Answer VerificationCode0
DCN+: Mixed Objective and Deep Residual Coattention for Question AnsweringCode0
How to Tune a Multilingual Encoder Model for Germanic Languages: A Study of PEFT, Full Fine-Tuning, and Language AdaptersCode0
QA-NatVer: Question Answering for Natural Logic-based Fact VerificationCode0
Interpretable Multi-hop Reasoning for Forecasting Future Links on Temporal Knowledge GraphsCode0
MMCoQA: Conversational Question Answering over Text, Tables, and ImagesCode0
Interpretable Natural Language Segmentation Based on Link GrammarCode0
Overcoming Language Priors in Visual Question Answering via Distinguishing Superficially Similar InstancesCode0
Bridging Background Knowledge Gaps in Translation with Automatic ExplicitationCode0
Interpretable Proof Generation via Iterative Backward ReasoningCode0
DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge GraphCode0
A Self-Attentive model for Knowledge TracingCode0
Dataset and Neural Recurrent Sequence Labeling Model for Open-Domain Factoid Question AnsweringCode0
Dataset and Benchmark for Urdu Natural Scenes Text Detection, Recognition and Visual Question AnsweringCode0
ArxivBench: Can LLMs Assist Researchers in Conducting Research?Code0
Resource-efficient Inference with Foundation Model ProgramsCode0
MMM: Multi-stage Multi-task Learning for Multi-choice Reading ComprehensionCode0
Data-driven Approach for Quality Evaluation on Knowledge Sharing PlatformCode0
Aligning Language Models to Explicitly Handle AmbiguityCode0
QA-prompting: Improving Summarization with Large Language Models using Question-AnsweringCode0
How to Determine the Preferred Image Distribution of a Black-Box Vision-Language Model?Code0
MM-PoE: Multiple Choice Reasoning via. Process of Elimination using Multi-Modal ModelsCode0
How Robust are the Tabular QA Models for Scientific Tables? A Study using Customized DatasetCode0
Data Distribution Bottlenecks in Grounding Language Models to Knowledge BasesCode0
InterroLang: Exploring NLP Models and Datasets through Dialogue-based ExplanationsCode0
MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question AnsweringCode0
A Russian Jeopardy! Data Set for Question-Answering SystemsCode0
IntKB: A Verifiable Interactive Framework for Knowledge Base CompletionCode0
ArtQuest: Countering Hidden Language Biases in ArtVQACode0
Intrinsic Subgraph Generation for Interpretable Graph based Visual Question AnsweringCode0
MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document RetrievalCode0
Introducing MathQA -- A Math-Aware Question Answering SystemCode0
QASC: A Dataset for Question Answering via Sentence CompositionCode0
Data Augmentation for Biomedical Factoid Question AnsweringCode0
DARA: Decomposition-Alignment-Reasoning Autonomous Language Agent for Question Answering over Knowledge GraphsCode0
BRENT: Bidirectional Retrieval Enhanced Norwegian TransformerCode0
Self-Bootstrapped Visual-Language Model for Knowledge Selection and Question AnsweringCode0
How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?Code0
How much do LLMs learn from negative examples?Code0
D3: Data Diversity Design for Systematic Generalization in Visual Question AnsweringCode0
CXReasonBench: A Benchmark for Evaluating Structured Diagnostic Reasoning in Chest X-raysCode0
QASiNa: Religious Domain Question Answering using Sirah NabawiyahCode0
Sentence Embeddings for Russian NLUCode0
cViL: Cross-Lingual Training of Vision-Language Models using Knowledge DistillationCode0
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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