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 1451–1475 of 10817 papers

TitleStatusHype
Knowledge Graph-based Question Answering with Electronic Health RecordsCode1
Knowledge Graph Embedding Methods for Entity Alignment: An Experimental ReviewCode1
Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence AnnotationCode1
Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual NoiseCode1
Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under DiscussionCode1
Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge GraphsCode1
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterCode1
DialogLM: Pre-trained Model for Long Dialogue Understanding and SummarizationCode1
KnowTuning: Knowledge-aware Fine-tuning for Large Language ModelsCode1
Beyond End-to-End VLMs: Leveraging Intermediate Text Representations for Superior Flowchart UnderstandingCode1
Korean-Specific Dataset for Table Question AnsweringCode1
Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge GeneratorsCode1
DialSim: A Real-Time Simulator for Evaluating Long-Term Multi-Party Dialogue Understanding of Conversational AgentsCode1
KVLink: Accelerating Large Language Models via Efficient KV Cache ReuseCode1
Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge BasesCode1
Dialog Inpainting: Turning Documents into DialogsCode1
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning StrategiesCode1
Beyond Memorization: The Challenge of Random Memory Access in Language ModelsCode1
Development and bilingual evaluation of Japanese medical large language model within reasonably low computational resourcesCode1
LaMPP: Language Models as Probabilistic Priors for Perception and ActionCode1
DeVLBert: Learning Deconfounded Visio-Linguistic RepresentationsCode1
Detecting Hate Speech in Multi-modal MemesCode1
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question AnsweringCode1
Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQACode1
DEXTER: A Benchmark for open-domain Complex Question Answering using LLMsCode1
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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