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 6501–6525 of 10817 papers

TitleStatusHype
A Survey on Knowledge Graph Embeddings with Literals: Which model links better Literal-ly?—0
Accounting for Focus Ambiguity in Visual Questions—0
Movie-DiC: a Movie Dialogue Corpus for Research and Development—0
End-to-End Answer Chunk Extraction and Ranking for Reading Comprehension—0
Movie Question Answering: Remembering the Textual Cues for Layered Visual Contents—0
Movie Script Summarization as Graph-based Scene Extraction—0
Bridging the Preference Gap between Retrievers and LLMs—0
MoVQA: A Benchmark of Versatile Question-Answering for Long-Form Movie Understanding—0
A Survey on Graph Neural Networks for Knowledge Graph Completion—0
MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs—0
HOP, UNION, GENERATE: Explainable Multi-hop Reasoning without Rationale Supervision—0
MPDrive: Improving Spatial Understanding with Marker-Based Prompt Learning for Autonomous Driving—0
mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding—0
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions—0
Contextual Code Switching for Machine Translation using Language Models—0
A Multi-Resolution Word Embedding for Document Retrieval from Large Unstructured Knowledge Bases—0
Bridging the Semantic Gaps: Improving Medical VQA Consistency with LLM-Augmented Question Sets—0
MQADet: A Plug-and-Play Paradigm for Enhancing Open-Vocabulary Object Detection via Multimodal Question Answering—0
HopPG: Self-Iterative Program Generation for Multi-Hop Question Answering over Heterogeneous Knowledge—0
Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model—0
Contextual Breach: Assessing the Robustness of Transformer-based QA Models—0
Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens—0
HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs—0
Holistic Multi-modal Memory Network for Movie Question Answering—0
Contextual Aware Joint Probability Model Towards Question Answering System—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