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 5626–5650 of 10817 papers

TitleStatusHype
DOMLIN at SemEval-2019 Task 8: Automated Fact Checking exploiting Ratings in Community Question Answering Forums—0
Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysis—0
Domain-Transferable Method for Named Entity Recognition Task—0
Beyond Forecasting: Compositional Time Series Reasoning for End-to-End Task Execution—0
Annotating Opinions in German Political News—0
A Compression-Compilation Framework for On-mobile Real-time BERT Applications—0
Domain-Targeted, High Precision Knowledge Extraction—0
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization—0
Domain-specific Question Answering with Hybrid Search—0
Beyond English: The Impact of Prompt Translation Strategies across Languages and Tasks in Multilingual LLMs—0
Annotating Modal Expressions in the Chinese Treebank—0
Domain-Sensitive Temporal Tagging By Jannik Str\"otgen, Michael Gertz—0
Domain-robust VQA with diverse datasets and methods but no target labels—0
Domain-Relevant Embeddings for Medical Question Similarity—0
Domain Mismatch Doesn’t Always Prevent Cross-lingual Transfer Learning—0
Beyond Chains: Bridging Large Language Models and Knowledge Bases in Complex Question Answering—0
Annotating genericity: a survey, a scheme, and a corpus—0
A Focused Dynamic Attention Model for Visual Question Answering—0
Domain Mismatch Doesn't Always Prevent Cross-Lingual Transfer Learning—0
DomainInv: Domain Invariant Fine Tuning and Adversarial Label Correction For QA Domain Adaptation—0
Beyond Captioning: Task-Specific Prompting for Improved VLM Performance in Mathematical Reasoning—0
DomainCQA: Crafting Expert-Level QA from Domain-Specific Charts—0
Annotating Electronic Medical Records for Question Answering—0
Domain Adaptation with Active Learning for Coreference Resolution—0
Domain Adaptation of VLM for Soccer Video Understanding—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