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 10251–10300 of 10817 papers

TitleStatusHype
On Modality Bias Recognition and ReductionCode0
On Monotonic Aggregation for Open-domain QACode0
On Context Utilization in Summarization with Large Language ModelsCode0
Answer-level Calibration for Free-form Multiple Choice Question AnsweringCode0
MDCure: A Scalable Pipeline for Multi-Document Instruction-FollowingCode0
DrishtiKon: Multi-Granular Visual Grounding for Text-Rich Document ImagesCode0
DramaQA: Character-Centered Video Story Understanding with Hierarchical QACode0
Atomic Consistency Preference Optimization for Long-Form Question AnsweringCode0
DragonVerseQA: Open-Domain Long-Form Context-Aware Question-AnsweringCode0
Distantly Supervised Question ParsingCode0
MoVie: Revisiting Modulated Convolutions for Visual Counting and BeyondCode0
On Subjective Uncertainty Quantification and Calibration in Natural Language GenerationCode0
Alignment over Heterogeneous Embeddings for Question AnsweringCode0
Dr3: Ask Large Language Models Not to Give Off-Topic Answers in Open Domain Multi-Hop Question AnsweringCode0
Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected ReasoningCode0
Downstream Datasets Make Surprisingly Good Pretraining CorporaCode0
On the Cross-lingual Transferability of Monolingual RepresentationsCode0
Diversify, Rationalize, and Combine: Ensembling Multiple QA Strategies for Zero-shot Knowledge-based VQACode0
Answering Questions about Data Visualizations using Efficient Bimodal FusionCode0
Measuring Compositional Generalization: A Comprehensive Method on Realistic DataCode0
Down and Across: Introducing Crossword-Solving as a New NLP BenchmarkCode0
Prompt Space Optimizing Few-shot Reasoning Success with Large Language ModelsCode0
Measuring Faithful and Plausible Visual Grounding in VQACode0
Do Text Simplification Systems Preserve Meaning? A Human Evaluation via Reading ComprehensionCode0
Measuring Free-Form Decision-Making Inconsistency of Language Models in Military Crisis SimulationsCode0
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented GeneratorCode0
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized StudyCode0
A template-independent approach for information extraction in real estate documentsCode0
ProMQA: Question Answering Dataset for Multimodal Procedural Activity UnderstandingCode0
Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural NetworksCode0
On-the-fly Denoising for Data Augmentation in Natural Language UnderstandingCode0
Alignment Attention by Matching Key and Query DistributionsCode0
A Technical Question Answering System with Transfer LearningCode0
Rotational Unit of MemoryCode0
DO-RAG: A Domain-Specific QA Framework Using Knowledge Graph-Enhanced Retrieval-Augmented GenerationCode0
RAVENEA: A Benchmark for Multimodal Retrieval-Augmented Visual Culture UnderstandingCode0
Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question AnsweringCode0
Cascaded Mutual Modulation for Visual ReasoningCode0
Do Not Trust the Trolls: Predicting Credibility in Community Question Answering ForumsCode0
Do NLP Models Know Numbers? Probing Numeracy in EmbeddingsCode0
CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question AnsweringCode0
MedArabiQ: Benchmarking Large Language Models on Arabic Medical TasksCode0
Do Multi-hop Readers Dream of Reasoning Chains?Code0
Domino at FinCausal 2020, Task 1 and 2: Causal Extraction SystemCode0
On the Impact of Speech Recognition Errors in Passage Retrieval for Spoken Question AnsweringCode0
Domain-Specific Language Model Pretraining for Biomedical Natural Language ProcessingCode0
Domain-agnostic Question-Answering with Adversarial TrainingCode0
Domain Adaptation for Question Answering via Question ClassificationCode0
Do LLMs Understand Your Translations? Evaluating Paragraph-level MT with Question AnsweringCode0
On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise TasksCode0
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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