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 6051–6075 of 10817 papers

TitleStatusHype
Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment—0
Human Mobility Question Answering (Vision Paper)—0
AMXFP4: Taming Activation Outliers with Asymmetric Microscaling Floating-Point for 4-bit LLM Inference—0
Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering—0
Methods for Numeracy-Preserving Word Embeddings—0
MappSent: a Textual Mapping Approach for Question-to-Question Similarity—0
MappSent at IJCNLP-2017 Task 5: A Textual Similarity Approach Applied to Multi-choice Question Answering in Examinations—0
MF2-MVQA: A Multi-stage Feature Fusion method for Medical Visual Question Answering—0
Human Cognition Inspired RAG with Knowledge Graph for Complex Problem Solving—0
MapQA: Open-domain Geospatial Question Answering on Map Data—0
MAPWise: Evaluating Vision-Language Models for Advanced Map Queries—0
MAQA: A Multimodal QA Benchmark for Negation—0
Dynamic Knowledge-Base Alignment for Coreference Resolution—0
MARAGS: A Multi-Adapter System for Multi-Task Retrieval Augmented Generation Question Answering—0
MarCQAp: Effective Context Modeling for Conversational Question Answering—0
Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets—0
MarioQA: Answering Questions by Watching Gameplay Videos—0
Markov Logic Networks for Natural Language Question Answering—0
Human-centered Interactive Learning via MLLMs for Text-to-Image Person Re-identification—0
Contrastive Pre-training for Zero-Shot Information Retrieval—0
MARS: A Multi-Agent Framework Incorporating Socratic Guidance for Automated Prompt Optimization—0
Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?—0
DynamicMind: A Tri-Mode Thinking System for Large Language Models—0
MaScQA: A Question Answering Dataset for Investigating Materials Science Knowledge of Large Language Models—0
Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?—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