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

Showing 36513700 of 10817 papers

TitleStatusHype
Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligenceCode0
Improving the Robustness of Question Answering Systems to Question ParaphrasingCode0
Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question PromptsCode0
Improving the Cross-Lingual Generalisation in Visual Question AnsweringCode0
QuASE: Question-Answer Driven Sentence EncodingCode0
Analysing the Robustness of Dual Encoders for Dense Retrieval Against MisspellingsCode0
Improving Question Answering with External KnowledgeCode0
Improving Question Answering over Incomplete KBs with Knowledge-Aware ReaderCode0
Atomic Consistency Preference Optimization for Long-Form Question AnsweringCode0
Improving Question Answering Performance Using Knowledge Distillation and Active LearningCode0
Convolutional Neural Network Architectures for Matching Natural Language SentencesCode0
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented GeneratorCode0
Improving QA Generalization by Concurrent Modeling of Multiple BiasesCode0
Convincing Rationales for Visual Question Answering ReasoningCode0
Improving Quality of a Post's Set of Answers in Stack OverflowCode0
Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt LearningCode0
Analysing Mathematical Reasoning Abilities of Neural ModelsCode0
ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation FusionCode0
Accurate and Regret-aware Numerical Problem Solver for Tabular Question AnsweringCode0
Combining Data Generation and Active Learning for Low-Resource Question AnsweringCode0
Combining Lexical and Dense Retrieval for Computationally Efficient Multi-hop Question AnsweringCode0
Improving Machine Reading Comprehension with General Reading StrategiesCode0
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized ContextsCode0
Exploring Modulated Detection Transformer as a Tool for Action Recognition in VideosCode0
Improving Health Question Answering with Reliable and Time-Aware Evidence RetrievalCode0
Analogical Math Word Problems Solving with Enhanced Problem-Solution AssociationCode0
Improving Knowledge-aware Dialogue Generation via Knowledge Base Question AnsweringCode0
Improving Event Duration Question Answering by Leveraging Existing Temporal Information Extraction DataCode0
A template-independent approach for information extraction in real estate documentsCode0
Improving language models by retrieving from trillions of tokensCode0
Conversational Machine Reading Comprehension for Vietnamese Healthcare TextsCode0
A Technical Question Answering System with Transfer LearningCode0
Improving Differentiable Neural Computers Through Memory Masking, De-allocation, and Link Distribution Sharpness ControlCode0
A Deep Architecture for Semantic Matching with Multiple Positional Sentence RepresentationsCode0
Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted LearningCode0
KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced PromptingCode0
Improve Query Focused Abstractive Summarization by Incorporating Answer RelevanceCode0
Conversational BrowsingCode0
Improved RAMEN: Towards Domain Generalization for Visual Question AnsweringCode0
Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word RepresentationsCode0
Improving Complex Knowledge Base Question Answering via Question-to-Action and Question-to-Question AlignmentCode0
Imitation Learning of Agenda-based Semantic ParsersCode0
Accurate and Nuanced Open-QA Evaluation Through Textual EntailmentCode0
An Adaptive Framework for Generating Systematic Explanatory Answer in Online Q&A PlatformsCode0
SemEval-2019 Task 8: Fact Checking in Community Question Answering ForumsCode0
Improving Consistency in Large Language Models through Chain of GuidanceCode0
Improving Retrieval-Based Question Answering with Deep Inference ModelsCode0
'Just because you are right, doesn't mean I am wrong': Overcoming a Bottleneck in the Development and Evaluation of Open-Ended Visual Question Answering (VQA) TasksCode0
ILLUME: Rationalizing Vision-Language Models through Human InteractionsCode0
IIT-UHH at SemEval-2017 Task 3: Exploring Multiple Features for Community Question Answering and Implicit Dialogue IdentificationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94Unverified
2FPNet (ensemble)EM90.87Unverified
3IE-NetV2 (ensemble)EM90.86Unverified
4SA-Net on Albert (ensemble)EM90.72Unverified
5SA-Net-V2 (ensemble)EM90.68Unverified
6FPNet (ensemble)EM90.6Unverified
7Retro-Reader (ensemble)EM90.58Unverified
8EntitySpanFocusV2 (ensemble)EM90.52Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49Unverified
10EntitySpanFocus+AT (ensemble)EM90.45Unverified