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 4901–4925 of 10817 papers

TitleStatusHype
A Diffusion-based Method for Multi-turn Compositional Image Generation—0
Instruction-Guided Scene Text Recognition—0
Improving Question Answering with Generation of NQ-like Questions—0
Instruction-Oriented Preference Alignment for Enhancing Multi-Modal Comprehension Capability of MLLMs—0
Attention Mechanism based Cognition-level Scene Understanding—0
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining—0
Insurance Question Answering via Single-turn Dialogue Modeling—0
Integer Linear Programming formulations in Natural Language Processing—0
Integrating Cognitive AI with Generative Models for Enhanced Question Answering in Skill-based Learning—0
Integrating Deep Linguistic Features in Factuality Prediction over Unified Datasets—0
Integrating Frequency-Domain Representations with Low-Rank Adaptation in Vision-Language Models—0
Integrating Hierarchical Semantic into Iterative Generation Model for Entailment Tree Explanation—0
An approach based on Open Research Knowledge Graph for Knowledge Acquisition from scientific papers—0
Integrating Knowledge and Reasoning in Image Understanding—0
Integrating Large Language Models with Graph-based Reasoning for Conversational Question Answering—0
Integrating Location, Visibility, and Question-Answering in a Spoken Dialogue System for Pedestrian City Exploration—0
Integrating Multi-Head Convolutional Encoders with Cross-Attention for Improved SPARQL Query Translation—0
Integrating Object Detection Modality into Visual Language Model for Enhanced Autonomous Driving Agent—0
PolQA: Polish Question Answering Dataset—0
Integrating Question Classification and Deep Learning for improved Answer Selection—0
Large Language Models Can Better Understand Knowledge Graphs Than We Thought—0
Integrating Question Rewrites in Conversational Question Answering: A Reinforcement Learning Approach—0
Analyzing Patient Records to Establish If and When a Patient Suffered from a Medical Condition—0
Integrating Subgraph-aware Relation and DirectionReasoning for Question Answering—0
KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph—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