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 5701–5725 of 10817 papers

TitleStatusHype
Document retrieval and question answering in medical documents. A large-scale corpus challenge.—0
Document-level Causal Relation Extraction with Knowledge-guided Binary Question Answering—0
Document Collection Visual Question Answering—0
Document Attribution: Examining Citation Relationships using Large Language Models—0
BERT-PersNER: A New Model for Persian Named Entity Recognition—0
ANNA: Enhanced Language Representation for Question Answering—0
Document AI: Benchmarks, Models and Applications—0
DocPrompt: Large-scale continue pretrain for zero-shot and few-shot document question answering—0
BERTologyNavigator: Advanced Question Answering with BERT-based Semantics—0
DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering—0
DocGraphLM: Documental Graph Language Model for Information Extraction—0
An Investigation of Machine Translation Evaluation Metrics in Cross-lingual Question Answering—0
A Fast, Reliable, and Secure Programming Language for LLM Agents with Code Actions—0
Docforia: A Multilayer Document Model—0
Leveraging Chain of Thought towards Empathetic Spoken Dialogue without Corresponding Question-Answering Data—0
DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections—0
Let's ViCE! Mimicking Human Cognitive Behavior in Image Generation Evaluation—0
Let's Reason Formally: Natural-Formal Hybrid Reasoning Enhances LLM's Math Capability—0
Let Sense Bags Do Talking: Cross Lingual Word Semantic Similarity for English and Hindi—0
DocChat: An Information Retrieval Approach for Chatbot Engines Using Unstructured Documents—0
Let Me Know What to Ask: Interrogative-Word-Aware Question Generation—0
DLS@CU: Sentence Similarity from Word Alignment—0
DLS@CU: Sentence Similarity from Word Alignment and Semantic Vector Composition—0
Less Is More: Linear Layers on CLIP Features as Powerful VizWiz Model—0
DLS@CU-CORE: A Simple Machine Learning Model of Semantic Textual Similarity—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