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 3876–3900 of 10817 papers

TitleStatusHype
Finding Generalizable Evidence by Learning to Convince Q\&A Models—0
Finding Optimal 1-Endpoint-Crossing Trees—0
Finding ReMO (Related Memory Object): A Simple Neural Architecture for Text based Reasoning—0
Beyond Captioning: Task-Specific Prompting for Improved VLM Performance in Mathematical Reasoning—0
Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora—0
DomainCQA: Crafting Expert-Level QA from Domain-Specific Charts—0
Findings on Conversation Disentanglement—0
Finding the Evidence: Localization-aware Answer Prediction for Text Visual Question Answering—0
Finding the Middle Ground - A Model for Planning Satisficing Answers—0
Annotating Electronic Medical Records for Question Answering—0
Find The Gap: Knowledge Base Reasoning For Visual Question Answering—0
Find the word that does not belong: A Framework for an Intrinsic Evaluation of Word Vector Representations—0
FINECAPTION: Compositional Image Captioning Focusing on Wherever You Want at Any Granularity—0
A Comprehensive Survey on Visual Question Answering Datasets and Algorithms—0
Fine-Grained Discourse Structures in Continuation Semantics—0
Domain Adaptation with Active Learning for Coreference Resolution—0
CLAM: Selective Clarification for Ambiguous Questions with Generative Language Models—0
Domain Adaptation of VLM for Soccer Video Understanding—0
Beyond Attention: Toward Machines with Intrinsic Higher Mental States—0
Annotating Educational Questions for Student Response Analysis—0
Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings—0
Dolphin: A Challenging and Diverse Benchmark for Arabic NLG—0
Fine-Grained Retrieval-Augmented Generation for Visual Question Answering—0
Fine-grained Semantic Textual Similarity for Serbian—0
A Flexible, Efficient and Accurate Framework for Community Question Answering Pipelines—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