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 4476–4500 of 10817 papers

TitleStatusHype
Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement—0
Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language ModelsCode0
Multicalibration for Confidence Scoring in LLMs—0
Soft-Prompting with Graph-of-Thought for Multi-modal Representation LearningCode0
KazQAD: Kazakh Open-Domain Question Answering DatasetCode0
Koala: Key frame-conditioned long video-LLM—0
BuDDIE: A Business Document Dataset for Multi-task Information Extraction—0
Do Sentence Transformers Learn Quasi-Geospatial Concepts from General Text?—0
Best Response Shaping—0
Neural-Symbolic VideoQA: Learning Compositional Spatio-Temporal Reasoning for Real-world Video Question Answering—0
PRobELM: Plausibility Ranking Evaluation for Language Models—0
Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought—0
Learning to Plan and Generate Text with Citations—0
Mitigating LLM Hallucinations via Conformal Abstention—0
Untangle the KNOT: Interweaving Conflicting Knowledge and Reasoning Skills in Large Language ModelsCode0
TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devices—0
The Death of Feature Engineering? BERT with Linguistic Features on SQuAD 2.0—0
Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns—0
Automatic Prompt Selection for Large Language Models—0
Rematch: Robust and Efficient Matching of Local Knowledge Graphs to Improve Structural and Semantic SimilarityCode0
Using Large Language Models to Understand Telecom Standards—0
Self-Improvement Programming for Temporal Knowledge Graph Question Answering—0
Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization—0
mChartQA: A universal benchmark for multimodal Chart Question Answer based on Vision-Language Alignment and Reasoning—0
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized ContextsCode0
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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