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 7851–7900 of 10817 papers

TitleStatusHype
Question Answering with Deep Neural Networks for Semi-Structured Heterogeneous Genealogical Knowledge Graphs—0
Question-Answering with Grammatically-Interpretable Representations—0
Question Answering with Knowledge Base, Web and Beyond—0
Question-Answering with Logic Specific to Video Games—0
A statistical approach for Non-Sentential Utterance Resolution for Interactive QA System—0
Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation—0
Question Answering with Texts and Tables through Deep Reinforcement Learning—0
Question-Answer Selection in User to User Marketplace Conversations—0
GRADE: Quantifying Sample Diversity in Text-to-Image Models—0
Component Analysis for Visual Question Answering Architectures—0
FinQAPT: Empowering Financial Decisions with End-to-End LLM-driven Question Answering Pipeline—0
Question-Aware Memory Network for Multi-hop Question Answering in Human-Robot Interaction—0
ComPO: Community Preferences for Language Model Personalization—0
A State-transition Framework to Answer Complex Questions over Knowledge Base—0
Incorporating Question Answering-Based Signals into Abstractive Summarization via Salient Span Selection—0
Question Calibration and Multi-Hop Modeling for Temporal Question Answering—0
A Memory Model for Question Answering from Streaming Data Supported by Rehearsal and Anticipation of Coreference Information—0
Question Classification Transfer—0
FireAct: Toward Language Agent Fine-tuning—0
Question-Conditioned Counterfactual Image Generation for VQA—0
Rationalization for Explainable NLP: A Survey—0
GPTs and Language Barrier: A Cross-Lingual Legal QA Examination—0
GPTR: Gestalt-Perception Transformer for Diagram Object Detection—0
CompMix: A Benchmark for Heterogeneous Question Answering—0
First steps towards a Predicate Matrix—0
Question Difficulty Estimation in Community Question Answering Services—0
First Token Probability Guided RAG for Telecom Question Answering—0
Question-Driven Graph Fusion Network For Visual Question Answering—0
GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation—0
FIT-RAG: Black-Box RAG with Factual Information and Token Reduction—0
GPT-4V Explorations: Mining Autonomous Driving—0
Question Generation and Answering for exploring Digital Humanities collections—0
GPT4GEO: How a Language Model Sees the World's Geography—0
Question Generation for Question Answering—0
Summary-Oriented Question Generation for Informational Queries—0
Question-Guided Hybrid Convolution for Visual Question Answering—0
A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification—0
A Causal Approach to Mitigate Modality Preference Bias in Medical Visual Question Answering—0
RAVEN: A Dataset for Relational and Analogical Visual rEasoNing—0
Question: How do Large Language Models perform on the Question Answering tasks? Answer:—0
Gpt-4: A Review on Advancements and Opportunities in Natural Language Processing—0
Question Modifiers in Visual Question Answering—0
GPT-3 Models are Few-Shot Financial Reasoners—0
Question Relevance in Visual Question Answering—0
GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation—0
Complex Question Answering: Unsupervised Learning Approaches and Experiments—0
AssistPDA: An Online Video Surveillance Assistant for Video Anomaly Prediction, Detection, and Analysis—0
Question Retrieval with Distributed Representations and Participant Reputation in Community Question Answering—0
Assistive Image Annotation Systems with Deep Learning and Natural Language Capabilities: A Review—0
GoT-CQA: Graph-of-Thought Guided Compositional Reasoning for Chart Question Answering—0
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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