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 7001–7025 of 10817 papers

TitleStatusHype
Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases—0
Occam's Gates—0
Harnessing Large Vision and Language Models in Agriculture: A Review—0
Constant Time Graph Neural Networks—0
Evaluating the Retrieval Component in LLM-Based Question Answering Systems—0
A Survey for Efficient Open Domain Question Answering—0
Open Information Extraction: A Review of Baseline Techniques, Approaches, and Applications—0
OG-RAG: Ontology-Grounded Retrieval-Augmented Generation For Large Language Models—0
Evaluating the Symbol Binding Ability of Large Language Models for Multiple-Choice Questions in Vietnamese General Education—0
oIQa: An Opinion Influence Oriented Question Answering Framework with Applications to Marketing Domain—0
Open Information Extraction on Scientific Text: An Evaluation—0
OpenQA: Hybrid QA System Relying on Structured Knowledge Base as well as Non-structured Data—0
Olelo: A Question Answering Application for Biomedicine—0
OMCAT: Omni Context Aware Transformer—0
Harnessing AI for efficient analysis of complex policy documents: a case study of Executive Order 14110—0
Hard to Cheat: A Turing Test based on Answering Questions about Images—0
A Supervised Word Alignment Method based on Cross-Language Span Prediction using Multilingual BERT—0
Hanfu-Bench: A Multimodal Benchmark on Cross-Temporal Cultural Understanding and Transcreation—0
Evaluation and Enhancement of Semantic Grounding in Large Vision-Language Models—0
Accelerating Manufacturing Scale-Up from Material Discovery Using Agentic Web Navigation and Retrieval-Augmented AI for Process Engineering Schematics Design—0
Open-ended Commonsense Reasoning with Unrestricted Answer Scope—0
Evaluation for Partial Event Coreference—0
Handling Multiword Expressions in Causality Estimation—0
Omni-R1: Do You Really Need Audio to Fine-Tune Your Audio LLM?—0
Handling Anomalies of Synthetic Questions in Unsupervised Question Answering—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