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 3951–3975 of 10817 papers

TitleStatusHype
Domain Adaptation with Active Learning for Coreference Resolution—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
Dolphin: A Challenging and Diverse Benchmark for Arabic NLG—0
FloodBrain: Flood Disaster Reporting by Web-based Retrieval Augmented Generation with an LLM—0
A Flexible, Efficient and Accurate Framework for Community Question Answering Pipelines—0
FlowMind: Automatic Workflow Generation with LLMs—0
3D Question Answering for City Scene Understanding—0
FlowVQA: Mapping Multimodal Logic in Visual Question Answering with Flowcharts—0
FltLM: An Intergrated Long-Context Large Language Model for Effective Context Filtering and Understanding—0
Graph-Structured Representations for Visual Question Answering—0
Do LLMs Work on Charts? Designing Few-Shot Prompts for Chart Question Answering and Summarization—0
FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks—0
ClimaText: A Dataset for Climate Change Topic Detection—0
Improving Numerical Reasoning Skills in the Modular Approach for Complex Question Answering on Text—0
Graphologue: Exploring Large Language Model Responses with Interactive Diagrams—0
Focused Hierarchical RNNs for Conditional Sequence Processing—0
FOCUS: Internal MLLM Representations for Efficient Fine-Grained Visual Question Answering—0
ClinicalGPT: Large Language Models Finetuned with Diverse Medical Data and Comprehensive Evaluation—0
Do LLMs Understand Ambiguity in Text? A Case Study in Open-world Question Answering—0
Do LLMs Recognize me, When I is not me: Assessment of LLMs Understanding of Turkish Indexical Pronouns in Indexical Shift Contexts—0
Annotating Coordination in the Penn Treebank—0
FONDUE: A Framework for Node Disambiguation Using Network Embeddings—0
Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models—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