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 4376–4400 of 10817 papers

TitleStatusHype
3D Concept Grounding on Neural Fields—0
Improving Cross-Modal Understanding in Visual Dialog via Contrastive Learning—0
A Neural Model for Joint Document and Snippet Ranking in Question Answering for Large Document Collections—0
Detecting Subevent Structure for Event Coreference Resolution—0
Towards Understanding Domain Adapted Sentence Embeddings for Document Retrieval—0
Detecting Spammers in Community Question Answering—0
Detecting Semantically Equivalent Questions in Online User Forums—0
Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization—0
A Neural Method for Goal-Oriented Dialog Systems to interact with Named Entities—0
Detecting Bot-Answerable Questions in Ubuntu Chat—0
Balancing Performance and Efficiency in Zero-shot Robotic Navigation—0
Improving Conditioning in Context-Aware Sequence to Sequence Models—0
Improving Cross-lingual Representation for Semantic Retrieval with Code-switching—0
Improving Data Augmentation for Robust Visual Question Answering with Effective Curriculum Learning—0
Detecting Asymmetric Semantic Relations in Context: A Case-Study on Hypernymy Detection—0
Detecting and Resolving Shell Nouns in German—0
Detecting and Evaluating Medical Hallucinations in Large Vision Language Models—0
Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE—0
A neural document language modeling framework for spoken document retrieval—0
Detect, Describe, Discriminate: Moving Beyond VQA for MLLM Evaluation—0
Detect2Interact: Localizing Object Key Field in Visual Question Answering (VQA) with LLMs—0
A Neural Comprehensive Ranker (NCR) for Open-Domain Question Answering—0
Despite "super-human" performance, current LLMs are unsuited for decisions about ethics and safety—0
Bactrainus: Optimizing Large Language Models for Multi-hop Complex Question Answering Tasks—0
Adversarial Attacks Beyond the Image Space—0
Show:102550
← PrevPage 176 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