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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 8301–8325 of 10817 papers

TitleStatusHype
INAOE\_UPV-CORE: Extracting Word Associations from Document Corpora to estimate Semantic Textual Similarity—0
CPSDBench: A Large Language Model Evaluation Benchmark and Baseline for Chinese Public Security Domain—0
IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues—0
CP-Router: An Uncertainty-Aware Router Between LLM and LRM—0
Improving Zero-shot Reader by Reducing Distractions from Irrelevant Documents in Open-Domain Question Answering—0
Improving Zero-Shot Event Extraction via Sentence Simplification—0
CPopQA: Ranking Cultural Concept Popularity by LLMs—0
Improving Zero-Shot Cross-lingual Transfer for Multilingual Question Answering over Knowledge Graph—0
Improving Word Representations via Global Context and Multiple Word Prototypes—0
CPath-Omni: A Unified Multimodal Foundation Model for Patch and Whole Slide Image Analysis in Computational Pathology—0
Attentive Explanations: Justifying Decisions and Pointing to the Evidence (Extended Abstract)—0
Improving VQA and its Explanations \\ by Comparing Competing Explanations—0
Improving Visual Question Answering Models through Robustness Analysis and In-Context Learning with a Chain of Basic Questions—0
Co-VQA : Answering by Interactive Sub Question Sequence—0
Improving Visual Question Answering by Referring to Generated Paragraph Captions—0
Improving Vietnamese Legal Question--Answering System based on Automatic Data Enrichment—0
Co-VQA : Answering by Interactive Sub Question Sequence—0
Attentive Explanations: Justifying Decisions and Pointing to the Evidence—0
Improving Vietnamese Legal Document Retrieval using Synthetic Data—0
Improving Users' Mental Model with Attention-directed Counterfactual Edits—0
Improving Unsupervised Question Answering via Summarization-Informed Question Generation—0
Improving Uncertainty Quantification in Large Language Models via Semantic Embeddings—0
CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding—0
Attentive Deep Neural Networks for Legal Document Retrieval—0
A Discourse-Driven Content Model for Summarising Scientific Articles Evaluated in a Complex Question Answering Task—0
Show:102550
← PrevPage 333 of 433Next →
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