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 3151–3175 of 10817 papers

TitleStatusHype
Localizing AI: Evaluating Open-Weight Language Models for Languages of Baltic States—0
KAnoCLIP: Zero-Shot Anomaly Detection through Knowledge-Driven Prompt Learning and Enhanced Cross-Modal Integration—0
Multilingual Open QA on the MIA Shared Task—0
Multimodal Multihop Source Retrieval for Web Question Answering—0
Visual question answering: from early developments to recent advances -- a survey—0
BoundingDocs: a Unified Dataset for Document Question Answering with Spatial Annotations—0
ReDiT: Re‑evaluating large visual question answering model confidence by defining input scenario Difficulty and applying Temperature mappingCode0
FlippedRAG: Black-Box Opinion Manipulation Adversarial Attacks to Retrieval-Augmented Generation Models—0
Socratic Questioning: Learn to Self-guide Multimodal Reasoning in the WildCode0
QuIM-RAG: Advancing Retrieval-Augmented Generation with Inverted Question Matching for Enhanced QA Performance—0
Survey on Question Answering over Visually Rich Documents: Methods, Challenges, and Trends—0
Accounting for Focus Ambiguity in Visual Questions—0
(WhyPHI) Fine-Tuning PHI-3 for Multiple-Choice Question Answering: Methodology, Results, and ChallengesCode0
MoColl: Agent-Based Specific and General Model Collaboration for Image Captioning—0
The Essence of Contextual Understanding in Theory of Mind: A Study on Question Answering with Story Characters—0
Interpretable Face Anti-Spoofing: Enhancing Generalization with Multimodal Large Language Models—0
A Survey on Large Language Models with some Insights on their Capabilities and Limitations—0
QuArch: A Question-Answering Dataset for AI Agents in Computer Architecture—0
HLV-1K: A Large-scale Hour-Long Video Benchmark for Time-Specific Long Video UnderstandingCode0
CLIP-UP: CLIP-Based Unanswerable Problem Detection for Visual Question Answering—0
Citations and Trust in LLM Generated Responses—0
Advancing Singlish Understanding: Bridging the Gap with Datasets and Multimodal ModelsCode0
Alignment, Mining and Fusion: Representation Alignment with Hard Negative Mining and Selective Knowledge Fusion for Medical Visual Question Answering—0
AdaDARE-gamma: Balancing Stability and Plasticity in Multi-modal LLMs through Efficient Adaptation—0
Flexible Frame Selection for Efficient Video Reasoning—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