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 2126–2150 of 10817 papers

TitleStatusHype
Causal Understanding For Video Question Answering—0
Knowledge Models for Cancer Clinical Practice Guidelines : Construction, Management and Usage in Question Answering—0
Structure-aware Domain Knowledge Injection for Large Language ModelsCode1
Learning Trimodal Relation for AVQA with Missing ModalityCode1
Enhancing LLM's Cognition via StructurizationCode1
Shared Imagination: LLMs Hallucinate Alike—0
Imperfect Vision Encoders: Efficient and Robust Tuning for Vision-Language Models—0
Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models—0
KaPQA: Knowledge-Augmented Product Question-Answering—0
Enhancing Temporal Understanding in LLMs for Semi-structured Tables—0
RadioRAG: Factual large language models for enhanced diagnostics in radiology using online retrieval augmented generationCode0
HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal ReasoningCode1
Odyssey: Empowering Minecraft Agents with Open-World SkillsCode3
Knowledge Acquisition Disentanglement for Knowledge-based Visual Question Answering with Large Language ModelsCode0
LongVideoBench: A Benchmark for Long-context Interleaved Video-Language UnderstandingCode2
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models—0
OMoS-QA: A Dataset for Cross-Lingual Extractive Question Answering in a German Migration Context—0
NV-Retriever: Improving text embedding models with effective hard-negative mining—0
MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive DiversityCode2
Retrieval with Learned SimilaritiesCode2
Customized Retrieval Augmented Generation and Benchmarking for EDA Tool Documentation QACode0
Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis—0
End-to-End Video Question Answering with Frame Scoring Mechanisms and Adaptive Sampling—0
Answer, Assemble, Ace: Understanding How Transformers Answer Multiple Choice Questions—0
Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data—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