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 2001–2025 of 10817 papers

TitleStatusHype
MultiMed: Massively Multimodal and Multitask Medical Understanding—0
Towards Evaluating and Building Versatile Large Language Models for MedicineCode2
LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction—0
Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language Models—0
RoundTable: Leveraging Dynamic Schema and Contextual Autocomplete for Enhanced Query Precision in Tabular Question AnsweringCode1
Fine-tuning Smaller Language Models for Question Answering over Financial Documents—0
Reasoning and Tools for Human-Level Forecasting—0
What are the limits of cross-lingual dense passage retrieval for low-resource languages?—0
CluMo: Cluster-based Modality Fusion Prompt for Continual Learning in Visual Question AnsweringCode0
Mathematical Information Retrieval: Search and Question Answering—0
RConE: Rough Cone Embedding for Multi-Hop Logical Query Answering on Multi-Modal Knowledge GraphsCode0
Leveraging Fine-Tuned Retrieval-Augmented Generation with Long-Context Support: For 3GPP StandardsCode1
Swarm Intelligence in Geo-Localization: A Multi-Agent Large Vision-Language Model Collaborative Framework—0
Multimodal Datasets and Benchmarks for Reasoning about Dynamic Spatio-Temporality in Everyday Environments—0
Differentiating Choices via Commonality for Multiple-Choice Question AnsweringCode0
Ancient Wisdom, Modern Tools: Exploring Retrieval-Augmented LLMs for Ancient Indian PhilosophyCode0
DocTabQA: Answering Questions from Long Documents Using TablesCode0
Hierarchical Retrieval-Augmented Generation Model with Rethink for Multi-hop Question AnsweringCode1
CoDi: Conversational Distillation for Grounded Question Answering—0
ColBERT Retrieval and Ensemble Response Scoring for Language Model Question AnsweringCode0
Multilingual Non-Factoid Question Answering with Answer Paragraph SelectionCode0
Large Language Model Driven Recommendation—0
V-RoAst: Visual Road Assessment. Can VLM be a Road Safety Assessor Using the iRAP Standard?Code1
GS-KGC: A Generative Subgraph-based Framework for Knowledge Graph Completion with Large Language Models—0
QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory—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