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 1035110400 of 10817 papers

TitleStatusHype
DLaVA: Document Language and Vision Assistant for Answer Localization with Enhanced Interpretability and TrustworthinessCode0
Representation Learning for Answer Selection with LSTM-Based Importance WeightingCode0
Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question AnsweringCode0
DCR: Divide-and-Conquer Reasoning for Multi-choice Question Answering with LLMsCode0
PSYCHIC: A Neuro-Symbolic Framework for Knowledge Graph Question-Answering GroundingCode0
MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRACode0
Diversity Enhanced Narrative Question Generation for StorybooksCode0
Visuo-Linguistic Question Answering (VLQA) ChallengeCode0
Capturing Greater Context for Question GenerationCode0
Representation Learning for Text-level Discourse ParsingCode0
Training Heterogeneous Features in Sequence to Sequence Tasks: Latent Enhanced Multi-filter Seq2Seq ModelCode0
OpenAi's GPT4 as coding assistantCode0
MemexQA: Visual Memex Question AnsweringCode0
Capturing Global Structural Information in Long Document Question Answering with Compressive Graph Selector NetworkCode0
Capturing Conversational Interaction for Question Answering via Global History ReasoningCode0
Distributed Representations of Sentences and DocumentsCode0
Open-Domain Conversational Question Answering with Historical AnswersCode0
Open-Domain Event Detection using Distant SupervisionCode0
PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt TuningCode0
A Study of MatchPyramid Models on Ad-hoc RetrievalCode0
Answering Complex Open-domain Questions Through Iterative Query GenerationCode0
RoToR: Towards More Reliable Responses for Order-Invariant InputsCode0
Distributed Associative Memory Network with Memory Refreshing LossCode0
Open-Domain Question-Answering for COVID-19 and Other Emergent DomainsCode0
Memory-Efficient Fine-Tuning of Transformers via Token SelectionCode0
Memory-enriched computation and learning in spiking neural networks through Hebbian plasticityCode0
Can We Guide a Multi-Hop Reasoning Language Model to Incrementally Learn at Each Single-Hop?Code0
Memory NetworksCode0
ACQUIRED: A Dataset for Answering Counterfactual Questions In Real-Life VideosCode0
Memory TransformerCode0
DisGeM: Distractor Generation for Multiple Choice Questions with Span MaskingCode0
Discriminative Information Retrieval for Question Answering Sentence SelectionCode0
Can Question Generation Debias Question Answering Models? A Case Study on Question-Context Lexical OverlapCode0
Routing Networks and the Challenges of Modular and Compositional ComputationCode0
Mention Memory: incorporating textual knowledge into Transformers through entity mention attentionCode0
Discrete Subgraph Sampling for Interpretable Graph based Visual Question AnsweringCode0
Open Domain Question Answering Using Early Fusion of Knowledge Bases and TextCode0
MES-RAG: Bringing Multi-modal, Entity-Storage, and Secure Enhancements to RAGCode0
Message Passing for Complex Question Answering over Knowledge GraphsCode0
A Comparative Study of Question Answering over Knowledge BasesCode0
Can multiple-choice questions really be useful in detecting the abilities of LLMs?Code0
Discrete-State Variational Autoencoders for Joint Discovery and Factorization of RelationsCode0
ReQA: An Evaluation for End-to-End Answer Retrieval ModelsCode0
RealCQA: Scientific Chart Question Answering as a Test-bed for First-Order LogicCode0
RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented GenerationCode0
Discovery and Recognition of Formula Concepts using Machine LearningCode0
Can BERT Refrain from Forgetting on Sequential Tasks? A Probing StudyCode0
Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question AnsweringCode0
Answer Consolidation: Formulation and BenchmarkingCode0
Metalearned Neural MemoryCode0
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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