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 3551–3575 of 10817 papers

TitleStatusHype
Entity Retrieval for Answering Entity-Centric Questions—0
FlippedRAG: Black-Box Opinion Manipulation Adversarial Attacks to Retrieval-Augmented Generation Models—0
FloodBrain: Flood Disaster Reporting by Web-based Retrieval Augmented Generation with an LLM—0
On the Need of Cross Validation for Discourse Relation Classification—0
Do Vision-Language Transformers Exhibit Visual Commonsense? An Empirical Study of VCR—0
E-ViLM: Efficient Video-Language Model via Masked Video Modeling with Semantic Vector-Quantized Tokenizer—0
EviNets: Neural Networks for Combining Evidence Signals for Factoid Question Answering—0
EvolveSearch: An Iterative Self-Evolving Search Agent—0
Evolving LLMs' Self-Refinement Capability via Iterative Preference Optimization—0
Double Visual Defense: Adversarial Pre-training and Instruction Tuning for Improving Vision-Language Model Robustness—0
EVQAScore: Efficient Video Question Answering Data Evaluation—0
EWEK-QA: Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems—0
Case-based Reasoning for Natural Language Queries over Knowledge Bases—0
Examining the Commitments and Difficulties Inherent in Multimodal Foundation Models for Street View Imagery—0
Double Topic Shifts in Open Domain Conversations: Natural Language Interface for a Wikipedia-based Robot Application—0
Beyond Sentential Semantic Parsing: Tackling the Math SAT with a Cascade of Tree Transducers—0
Annotation Scheme for Constructing Sentiment Corpus in Korean—0
Double Retrieval and Ranking for Accurate Question Answering—0
Excitatory or Inhibitory: A New Semantic Orientation Extracts Contradiction and Causality from the Web—0
Do Transformers Dream of Inference, or Can Pretrained Generative Models Learn Implicit Inferential Rules?—0
EXnet: Efficient In-context Learning for Data-less Text classification—0
CATCH: Complementary Adaptive Token-level Contrastive Decoding to Mitigate Hallucinations in LVLMs—0
Expanding Frozen Vision-Language Models without Retraining: Towards Improved Robot Perception—0
Expanding the Boundaries of Vision Prior Knowledge in Multi-modal Large Language Models—0
Annotation Methodologies for Vision and Language Dataset Creation—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