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 5851–5875 of 10817 papers

TitleStatusHype
MATE: Multi-view Attention for Table Transformer Efficiency—0
Mathematical Information Retrieval: Search and Question Answering—0
LLaVA-Ultra: Large Chinese Language and Vision Assistant for Ultrasound—0
M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains—0
Identifying Purpose Behind Electoral Tweets—0
Identifying Participation of Individual Verbs or VerbNet Classes in the Causative Alternation—0
Conversational Question Answering in Low Resource Scenarios: A Dataset and Case Study for Basque—0
Domain-Transferable Method for Named Entity Recognition Task—0
LLM-based Discriminative Reasoning for Knowledge Graph Question Answering—0
LLM-based Extraction of Contradictions from Patents—0
Identifying Nuggets of Information in GALE Distillation Evaluation—0
LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments—0
Identifying Constant and Unique Relations by using Time-Series Text—0
Conversational Question Answering: A Survey—0
LLM Distillation for Efficient Few-Shot Multiple Choice Question Answering—0
LLM Enhancer: Merged Approach using Vector Embedding for Reducing Large Language Model Hallucinations with External Knowledge—0
A temporal expression recognition system for medical documents by—0
Identifying Causal Relations Using Parallel Wikipedia Articles—0
LLM Guided Inductive Inference for Solving Compositional Problems—0
LLMI3D: Empowering LLM with 3D Perception from a Single 2D Image—0
Identifying and Mitigating Position Bias of Multi-image Vision-Language Models—0
LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models—0
Do not let the history haunt you: Mitigating Compounding Errors in Conversational Question Answering—0
LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction—0
Conversational Query Reformulation with the Guidance of Retrieved Documents—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