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 2001–2050 of 10817 papers

TitleStatusHype
Learning Associative Inference Using Fast Weight MemoryCode1
Towards Vision-Language Mechanistic Interpretability: A Causal Tracing Tool for BLIPCode1
Consistency-preserving Visual Question Answering in Medical ImagingCode1
Learning Contextualized Knowledge Structures for Commonsense ReasoningCode1
CL-ReLKT: Cross-lingual Language Knowledge Transfer for Multilingual Retrieval Question AnsweringCode1
CLTR: An End-to-End, Transformer-Based System for Cell Level Table Retrieval and Table Question AnsweringCode1
Learning Dialogue Representations from Consecutive UtterancesCode1
Learning Event Graph Knowledge for Abductive ReasoningCode1
AmbigQA: Answering Ambiguous Open-domain QuestionsCode1
Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training DataCode1
A Simple LLM Framework for Long-Range Video Question-AnsweringCode1
Learning Fine-Grained Visual Understanding for Video Question Answering via Decoupling Spatial-Temporal ModelingCode1
Conformal Prediction with Large Language Models for Multi-Choice Question AnsweringCode1
Transferability of Natural Language Inference to Biomedical Question AnsweringCode1
Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question AnsweringCode1
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question AnsweringCode1
Transforming Question Answering Datasets Into Natural Language Inference DatasetsCode1
TRAR: Routing the Attention Spans in Transformer for Visual Question AnsweringCode1
Connecting Vision and Language with Video Localized NarrativesCode1
Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language ModelsCode1
Learning Situation Hyper-Graphs for Video Question AnsweringCode1
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge GraphsCode1
Conformal Language ModelingCode1
ControlLM: Crafting Diverse Personalities for Language ModelsCode1
TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic TasksCode1
Context Awareness Gate For Retrieval Augmented GenerationCode1
AllenAct: A Framework for Embodied AI ResearchCode1
CodeQueries: A Dataset of Semantic Queries over CodeCode1
Asking Clarification Questions to Handle Ambiguity in Open-Domain QACode1
Learning to Ask Like a PhysicianCode1
ConditionalQA: A Complex Reading Comprehension Dataset with Conditional AnswersCode1
A Dataset and Baselines for Visual Question Answering on ArtCode1
Asking Effective and Diverse Questions: A Machine Reading Comprehension based Framework for Joint Entity-Relation ExtractionCode1
Learning to Discretely Compose Reasoning Module Networks for Video CaptioningCode1
Conformal Alignment: Knowing When to Trust Foundation Models with GuaranteesCode1
Coarse-to-Fine Vision-Language Pre-training with Fusion in the BackboneCode1
Asking Questions the Human Way: Scalable Question-Answer Generation from Text CorpusCode1
TurkishMMLU: Measuring Massive Multitask Language Understanding in TurkishCode1
CAT-ViL: Co-Attention Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic SurgeryCode1
COBRA: Contrastive Bi-Modal Representation AlgorithmCode1
Learning to Perturb Word Embeddings for Out-of-distribution QACode1
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse LanguagesCode1
LLaSA: A Multimodal LLM for Human Activity Analysis Through Wearable and Smartphone SensorsCode1
Learning to Poison Large Language Models for Downstream ManipulationCode1
UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document AnalysisCode1
CodeQA: A Question Answering Dataset for Source Code ComprehensionCode1
LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial RelationsCode1
LogEval: A Comprehensive Benchmark Suite for Large Language Models In Log AnalysisCode1
ComQA:Compositional Question Answering via Hierarchical Graph Neural NetworksCode1
LIQUID: A Framework for List Question Answering Dataset GenerationCode1
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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