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 5451–5475 of 10817 papers

TitleStatusHype
Exploring and Analyzing Machine Commonsense Benchmarks—0
Promotion of Answer Value Measurement with Domain Effects in Community Question Answering Systems—0
100 Things You Always Wanted to Know about Linguistics But Were Afraid to Ask*—0
EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering—0
E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce—0
eaVQA: An Experimental Analysis on Visual Question Answering Models—0
Easy Questions First? A Case Study on Curriculum Learning for Question Answering—0
Biomedical Question Answering via Weighted Neural Network Passage Retrieval—0
Answer-checking in Context: A Multi-modal FullyAttention Network for Visual Question Answering—0
EarthSE: A Benchmark Evaluating Earth Scientific Exploration Capability for Large Language Models—0
EarthDial: Turning Multi-sensory Earth Observations to Interactive Dialogues—0
Biomedical Question Answering via Multi-Level Summarization on a Local Knowledge Graph—0
Biomedical Question Answering: A Survey of Approaches and Challenges—0
Answer Candidate Type Selection: Text-to-Text Language Model for Closed Book Question Answering Meets Knowledge Graphs—0
EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation—0
E3D-GPT: Enhanced 3D Visual Foundation for Medical Vision-Language Model—0
Biomedical Multi-hop Question Answering Using Knowledge Graph Embeddings and Language Models—0
Answer, Assemble, Ace: Understanding How Transformers Answer Multiple Choice Questions—0
A General FOFE-net Framework for Simple and Effective Question Answering over Knowledge Bases—0
A Copy-Augmented Generative Model for Open-Domain Question Answering—0
DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models—0
Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data—0
DynRank: Improving Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classification—0
DynFocus: Dynamic Cooperative Network Empowers LLMs with Video Understanding—0
Answerable or Not: Devising a Dataset for Extending Machine Reading Comprehension—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