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 8976–9000 of 10817 papers

TitleStatusHype
Grid-LOGAT: Grid Based Local and Global Area Transcription for Video Question Answering—0
Grid Search Hyperparameter Benchmarking of BERT, ALBERT, and LongFormer on DuoRC—0
Griffon-G: Bridging Vision-Language and Vision-Centric Tasks via Large Multimodal Models—0
GRILLBot: A multi-modal conversational agent for complex real-world tasks—0
GRILL: Grounded Vision-language Pre-training via Aligning Text and Image Regions—0
GripRank: Bridging the Gap between Retrieval and Generation via the Generative Knowledge Improved Passage Ranking—0
Grounded Knowledge-Enhanced Medical VLP for Chest X-Ray—0
Groundedness in Retrieval-augmented Long-form Generation: An Empirical Study—0
Grounded Semantic Parsing for Complex Knowledge Extraction—0
Grounded Semantic Role Labeling—0
Grounded Word Sense Translation—0
Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation—0
Grounding Answers for Visual Questions Asked by Visually Impaired People—0
Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports—0
Grounding Complex Navigational Instructions Using Scene Graphs—0
Grounding Large Language Models In Embodied Environment With Imperfect World Models—0
Grounding LLM Reasoning with Knowledge Graphs—0
Grounding Semantic Roles in Images—0
Grounding Task Assistance with Multimodal Cues from a Single Demonstration—0
Group Non-negative Matrix Factorization with Natural Categories for Question Retrieval in Community Question Answer Archives—0
Grover's Algorithm for Question Answering—0
Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer Explanation—0
Growing Multi-Domain Glossaries from a Few Seeds using Probabilistic Topic Models—0
GRS-QA -- Graph Reasoning-Structured Question Answering Dataset—0
G-SAP: Graph-based Structure-Aware Prompt Learning over Heterogeneous Knowledge for Commonsense Reasoning—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