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 401–425 of 10817 papers

TitleStatusHype
Kalman Filter Enhanced GRPO for Reinforcement Learning-Based Language Model ReasoningCode1
BioProBench: Comprehensive Dataset and Benchmark in Biological Protocol Understanding and ReasoningCode1
PLHF: Prompt Optimization with Few-Shot Human Feedback—0
Overview of the NLPCC 2025 Shared Task 4: Multi-modal, Multilingual, and Multi-hop Medical Instructional Video Question Answering Challenge—0
Building a Human-Verified Clinical Reasoning Dataset via a Human LLM Hybrid Pipeline for Trustworthy Medical AI—0
Multi-Modal Explainable Medical AI Assistant for Trustworthy Human-AI Collaboration—0
OMGM: Orchestrate Multiple Granularities and Modalities for Efficient Multimodal Retrieval—0
SmartPilot: A Multiagent CoPilot for Adaptive and Intelligent ManufacturingCode1
CellVerse: Do Large Language Models Really Understand Cell Biology?—0
Document Attribution: Examining Citation Relationships using Large Language Models—0
A Grounded Memory System For Smart Personal Assistants—0
Towards Developmentally Plausible Rewards: Communicative Success as a Learning Signal for Interactive Language Models—0
NeoQA: Evidence-based Question Answering with Generated News EventsCode0
Natural Reflection Backdoor Attack on Vision Language Model for Autonomous Driving—0
MM-Skin: Enhancing Dermatology Vision-Language Model with an Image-Text Dataset Derived from TextbooksCode1
Assessing Robustness to Spurious Correlations in Post-Training Language Models—0
Healthy LLMs? Benchmarking LLM Knowledge of UK Government Public Health Information—0
Continuous Thought MachinesCode5
Lost in OCR Translation? Vision-Based Approaches to Robust Document Retrieval—0
Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable ModelsCode0
SITE: towards Spatial Intelligence Thorough Evaluation—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
Q-Heart: ECG Question Answering via Knowledge-Informed Multimodal LLMs—0
Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes—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