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 376–400 of 10817 papers

TitleStatusHype
Enhancing Multi-Image Question Answering via Submodular Subset Selection—0
DIF: A Framework for Benchmarking and Verifying Implicit Bias in LLMs—0
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
Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCs—0
End-to-End Vision Tokenizer Tuning—0
Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligenceCode0
The Impact of Large Language Models on Task Automation in Manufacturing Services—0
Omni-R1: Do You Really Need Audio to Fine-Tune Your Audio LLM?—0
Variational Visual Question Answering—0
Focus, Merge, Rank: Improved Question Answering Based on Semi-structured Knowledge BasesCode0
Atomic Consistency Preference Optimization for Long-Form Question AnsweringCode0
SafePath: Conformal Prediction for Safe LLM-Based Autonomous Navigation—0
PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt TuningCode0
Scent of Knowledge: Optimizing Search-Enhanced Reasoning with Information ForagingCode0
WixQA: A Multi-Dataset Benchmark for Enterprise Retrieval-Augmented Generation—0
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
Judging the Judges: Can Large Vision-Language Models Fairly Evaluate Chart Comprehension and Reasoning?Code0
Efficient and Reproducible Biomedical Question Answering using Retrieval Augmented GenerationCode1
Visually Interpretable Subtask Reasoning for Visual Question AnsweringCode0
Multi-Domain Audio Question Answering Toward Acoustic Content Reasoning in The DCASE 2025 Challenge—0
ReCDAP: Relation-Based Conditional Diffusion with Attention Pooling for Few-Shot Knowledge Graph CompletionCode1
Kalman Filter Enhanced GRPO for Reinforcement Learning-Based Language Model ReasoningCode1
Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption—0
DocVXQA: Context-Aware Visual Explanations for Document Question AnsweringCode1
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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