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 2551–2575 of 10817 papers

TitleStatusHype
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection—0
A Dataset for Spatiotemporal-Sensitive POI Question AnsweringCode0
What Does Neuro Mean to Cardio? Investigating the Role of Clinical Specialty Data in Medical LLMs—0
CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability—0
End-to-End Vision Tokenizer Tuning—0
DO-RAG: A Domain-Specific QA Framework Using Knowledge Graph-Enhanced Retrieval-Augmented GenerationCode0
Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligenceCode0
Enhancing Multi-Image Question Answering via Submodular Subset Selection—0
DIF: A Framework for Benchmarking and Verifying Implicit Bias in LLMs—0
Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCs—0
The Impact of Large Language Models on Task Automation in Manufacturing Services—0
SafePath: Conformal Prediction for Safe LLM-Based Autonomous Navigation—0
Scent of Knowledge: Optimizing Search-Enhanced Reasoning with Information ForagingCode0
Variational Visual Question Answering—0
Omni-R1: Do You Really Need Audio to Fine-Tune Your Audio LLM?—0
PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt TuningCode0
Focus, Merge, Rank: Improved Question Answering Based on Semi-structured Knowledge BasesCode0
Atomic Consistency Preference Optimization for Long-Form Question AnsweringCode0
Judging the Judges: Can Large Vision-Language Models Fairly Evaluate Chart Comprehension and Reasoning?Code0
Fusing Bidirectional Chains of Thought and Reward Mechanisms A Method for Enhancing Question-Answering Capabilities of Large Language Models for Chinese Intangible Cultural Heritage—0
WixQA: A Multi-Dataset Benchmark for Enterprise Retrieval-Augmented Generation—0
Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption—0
Visually Interpretable Subtask Reasoning for Visual Question AnsweringCode0
Relative Overfitting and Accept-Reject Framework—0
Multi-Domain Audio Question Answering Toward Acoustic Content Reasoning in The DCASE 2025 Challenge—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