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 3151–3200 of 10817 papers

TitleStatusHype
Efficient Prompt Caching via Embedding Similarity—0
Efficient Prompting for LLM-based Generative Internet of Things—0
EfficientQA : a RoBERTa Based Phrase-Indexed Question-Answering System—0
A Fully Coreference-annotated Corpus of Scholarly Papers from the ACL Anthology—0
Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering—0
Dynamic-KGQA: A Scalable Framework for Generating Adaptive Question Answering Datasets—0
Efficient Search for Transformation-based Inference—0
Efficient Tree-based Approximation for Entailment Graph Learning—0
EffiQA: Efficient Question-Answering with Strategic Multi-Model Collaboration on Knowledge Graphs—0
A novel knowledge graph development for industry design: A case study on indirect coal liquefaction process—0
Dynamic Integration of Background Knowledge in Neural NLU Systems—0
Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams—0
Explicit Diversity Conditions for Effective Question Answer Generation with Large Language Models—0
Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering—0
Dynamic Fusion with Intra- and Inter- Modality Attention Flow for Visual Question Answering—0
Answering List Questions using Web as a corpus—0
Dynamic Few-Shot Learning for Knowledge Graph Question Answering—0
A novel interface for adversarial trivia question-writing—0
A Context-aware Attention Network for Interactive Question Answering—0
EHRTutor: Enhancing Patient Understanding of Discharge Instructions—0
A Constituent Syntactic Parse Tree Based Discourse Parser—0
Explicit Knowledge-based Reasoning for Visual Question Answering—0
EICA Team at SemEval-2017 Task 3: Semantic and Metadata-based Features for Community Question Answering—0
EIGEN: Event Influence GENeration using Pre-trained Language Models—0
A Novel Framework for Robustness Analysis of Visual QA Models—0
E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning—0
BQA: Body Language Question Answering Dataset for Video Large Language Models—0
Dynamic Adaptive Network Intelligence—0
elBERto: Self-supervised Commonsense Learning for Question Answering—0
Brahmi-Net: A transliteration and script conversion system for languages of the Indian subcontinent—0
Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA—0
A Novel Discriminative Framework for Sentence-Level Discourse Analysis—0
BioAMA: Towards an End to End BioMedical Question Answering System—0
A Full End-to-End Semantic Role Labeler, Syntactic-agnostic Over Syntactic-aware?—0
ElectroVizQA: How well do Multi-modal LLMs perform in Electronics Visual Question Answering?—0
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM—0
DUT-NLP at MEDIQA 2019: An Adversarial Multi-Task Network to Jointly Model Recognizing Question Entailment and Question Answering—0
DUTH at SemEval-2019 Task 8: Part-Of-Speech Features for Question Classification—0
Eliminating Catastrophic Interference with Biased Competition—0
Binding Touch to Everything: Learning Unified Multimodal Tactile Representations—0
Eliminating the Language Bias for Visual Question Answering with fine-grained Causal Intervention—0
ELiRF-UPV at SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge—0
ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders—0
Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images—0
Explanations for CommonsenseQA: New Dataset and Models—0
Explicit Argument Identification for Discourse Parsing In Hindi: A Hybrid Pipeline—0
Embedded Semantic Lexicon Induction with Joint Global and Local Optimization—0
Embedding-based Retrieval with LLM for Effective Agriculture Information Extracting from Unstructured Data—0
DUT-BIM at MEDIQA 2019: Utilizing Transformer Network and Medical Domain-Specific Contextualized Representations for Question Answering—0
Duplicate Question Retrieval and Confirmation Time Prediction in Software Communities—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