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 2551–2600 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
Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligenceCode0
CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability—0
What Does Neuro Mean to Cardio? Investigating the Role of Clinical Specialty Data in Medical LLMs—0
End-to-End Vision Tokenizer Tuning—0
Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCs—0
Enhancing Multi-Image Question Answering via Submodular Subset Selection—0
DIF: A Framework for Benchmarking and Verifying Implicit Bias in LLMs—0
DO-RAG: A Domain-Specific QA Framework Using Knowledge Graph-Enhanced Retrieval-Augmented GenerationCode0
SafePath: Conformal Prediction for Safe LLM-Based Autonomous Navigation—0
PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt TuningCode0
The Impact of Large Language Models on Task Automation in Manufacturing Services—0
Focus, Merge, Rank: Improved Question Answering Based on Semi-structured Knowledge BasesCode0
Omni-R1: Do You Really Need Audio to Fine-Tune Your Audio LLM?—0
Atomic Consistency Preference Optimization for Long-Form Question AnsweringCode0
Variational Visual Question Answering—0
Scent of Knowledge: Optimizing Search-Enhanced Reasoning with Information ForagingCode0
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
WixQA: A Multi-Dataset Benchmark for Enterprise Retrieval-Augmented Generation—0
Visually Interpretable Subtask Reasoning for Visual Question AnsweringCode0
Multi-Domain Audio Question Answering Toward Acoustic Content Reasoning in The DCASE 2025 Challenge—0
Relative Overfitting and Accept-Reject Framework—0
Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption—0
Multi-Modal Explainable Medical AI Assistant for Trustworthy Human-AI Collaboration—0
Building a Human-Verified Clinical Reasoning Dataset via a Human LLM Hybrid Pipeline for Trustworthy Medical AI—0
Overview of the NLPCC 2025 Shared Task 4: Multi-modal, Multilingual, and Multi-hop Medical Instructional Video Question Answering Challenge—0
PLHF: Prompt Optimization with Few-Shot Human Feedback—0
OMGM: Orchestrate Multiple Granularities and Modalities for Efficient Multimodal Retrieval—0
NeoQA: Evidence-based Question Answering with Generated News EventsCode0
CellVerse: Do Large Language Models Really Understand Cell Biology?—0
Healthy LLMs? Benchmarking LLM Knowledge of UK Government Public Health Information—0
A Grounded Memory System For Smart Personal Assistants—0
Document Attribution: Examining Citation Relationships using Large Language Models—0
Towards Developmentally Plausible Rewards: Communicative Success as a Learning Signal for Interactive Language Models—0
Natural Reflection Backdoor Attack on Vision Language Model for Autonomous Driving—0
Assessing Robustness to Spurious Correlations in Post-Training Language Models—0
Lost in OCR Translation? Vision-Based Approaches to Robust Document Retrieval—0
An Open-Source Dual-Loss Embedding Model for Semantic Retrieval in Higher Education—0
LiTransProQA: an LLM-based Literary Translation evaluation metric with Professional Question AnsweringCode0
Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable ModelsCode0
SITE: towards Spatial Intelligence Thorough Evaluation—0
Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes—0
HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights—0
Q-Heart: ECG Question Answering via Knowledge-Informed Multimodal LLMs—0
Characterising Topic Familiarity and Query Specificity Using Eye-Tracking DataCode0
VLM Q-Learning: Aligning Vision-Language Models for Interactive Decision-Making—0
A Reasoning-Focused Legal Retrieval Benchmark—0
DyGEnc: Encoding a Sequence of Textual Scene Graphs to Reason and Answer Questions in Dynamic ScenesCode0
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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