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 6851–6900 of 10817 papers

TitleStatusHype
Neural Compositional Denotational Semantics for Question Answering—0
Neural Contextual Conversation Learning with Labeled Question-Answering Pairs—0
Hierarchical Gated Recurrent Neural Tensor Network for Answer Triggering—0
Can DeepSeek Reason Like a Surgeon? An Empirical Evaluation for Vision-Language Understanding in Robotic-Assisted Surgery—0
Neural Enquirer: Learning to Query Tables in Natural Language—0
Neural Event Extraction from Movies Description—0
ESG Accountability Made Easy: DocQA at Your Service—0
Neural Joint Learning for Classifying Wikipedia Articles into Fine-grained Named Entity Types—0
Neural Knowledge Bank for Pretrained Transformers—0
A Survey of Named Entity Recognition in Assamese and other Indian Languages—0
A Multilingual Study of Multi-Sentence Compression using Word Vertex-Labeled Graphs and Integer Linear Programming—0
Neural Memory Plasticity for Anomaly Detection—0
Hierarchical Conditional Relation Networks for Multimodal Video Question Answering—0
Encoding Knowledge Graph Entity Aliases in Attentive Neural Network for Wikidata Entity Linking—0
Estimating semantic structure for the VQA answer space—0
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks—0
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review—0
Estimating Uncertainty Online Against an Adversary—0
Hierarchical Banzhaf Interaction for General Video-Language Representation Learning—0
HiddenTables & PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies—0
A Survey of Multimodal Retrieval-Augmented Generation—0
Neural Passage Retrieval with Improved Negative Contrast—0
Adding Morpho-semantic Relations to the Romanian Wordnet—0
Neural Program Planner for Structured Predictions—0
HFST-SweNER --- A New NER Resource for Swedish—0
Context-augmented Retrieval: A Novel Framework for Fast Information Retrieval based Response Generation using Large Language Model—0
Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning—0
Neural Relation Extraction with Multi-lingual Attention—0
Neural Relation Prediction for Simple Question Answering over Knowledge Graph—0
Neural Retrieval for Question Answering with Cross-Attention Supervised Data Augmentation—0
Neural Retriever and Go Beyond: A Thesis Proposal—0
Neural Self Talk: Image Understanding via Continuous Questioning and Answering—0
Content Models for Survey Generation: A Factoid-Based Evaluation—0
Neural Semantic Parsing—0
ETS: Discriminative Edit Models for Paraphrase Scoring—0
Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs—0
Constructive Large Language Models Alignment with Diverse Feedback—0
Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study over Open-ended Question Answering—0
Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension—0
Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs—0
HeRo: RoBERTa and Longformer Hebrew Language Models—0
Neural-Symbolic VideoQA: Learning Compositional Spatio-Temporal Reasoning for Real-world Video Question Answering—0
Neural Transition Based Parsing of Web Queries: An Entity Based Approach—0
A Multilingual Reading Comprehension System for more than 100 Languages—0
Construction of Knowledge Graphs: State and Challenges—0
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned—0
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA—0
Evaluating and Modeling Attribution for Cross-Lingual Question Answering—0
OneEncoder: A Lightweight Framework for Progressive Alignment of Modalities—0
One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems—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