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 1551–1575 of 10817 papers

TitleStatusHype
Resilience in Knowledge Graph Embeddings—0
Attention Overlap Is Responsible for The Entity Missing Problem in Text-to-image Diffusion Models!—0
Efficient Bilinear Attention-based Fusion for Medical Visual Question Answering—0
AutoBench-V: Can Large Vision-Language Models Benchmark Themselves?Code0
LLM Robustness Against Misinformation in Biomedical Question AnsweringCode0
Get Large Language Models Ready to Speak: A Late-fusion Approach for Speech Generation—0
MedGo: A Chinese Medical Large Language Model—0
R-LLaVA: Improving Med-VQA Understanding through Visual Region of Interest—0
Rethinking Data Synthesis: A Teacher Model Training Recipe with Interpretation—0
Sensor2Text: Enabling Natural Language Interactions for Daily Activity Tracking Using Wearable Sensors—0
EfficientEQA: An Efficient Approach for Open Vocabulary Embodied Question Answering—0
GiVE: Guiding Visual Encoder to Perceive Overlooked Information—0
A Survey of Large Language Models for Arabic Language and its Dialects—0
PatentAgent: Intelligent Agent for Automated Pharmaceutical Patent Analysis—0
Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challenges—0
FLAASH: Flow-Attention Adaptive Semantic Hierarchical Fusion for Multi-Modal Tobacco Content Analysis—0
Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and ReasoningCode1
Can Code-Switched Texts Activate a Knowledge Switch in LLMs? A Case Study on English-Korean Code-Switching—0
BioMistral-NLU: Towards More Generalizable Medical Language Understanding through Instruction Tuning—0
Decoding on Graphs: Faithful and Sound Reasoning on Knowledge Graphs through Generation of Well-Formed Chains—0
Visual Text Matters: Improving Text-KVQA with Visual Text Entity Knowledge-aware Large Multimodal AssistantCode0
Aggregated Knowledge Model: Enhancing Domain-Specific QA with Fine-Tuned and Retrieval-Augmented Generation Models—0
Geometric Feature Enhanced Knowledge Graph Embedding and Spatial Reasoning—0
Large Language Models Reflect the Ideology of their CreatorsCode1
Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks—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