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 276–300 of 10817 papers

TitleStatusHype
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding—0
Steering LVLMs via Sparse Autoencoder for Hallucination Mitigation—0
A Causal Approach to Mitigate Modality Preference Bias in Medical Visual Question Answering—0
UNCLE: Uncertainty Expressions in Long-Form Generation—0
Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge—0
Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports—0
SpatialScore: Towards Unified Evaluation for Multimodal Spatial UnderstandingCode2
Human-centered Interactive Learning via MLLMs for Text-to-Image Person Re-identification—0
RAVEN: Query-Guided Representation Alignment for Question Answering over Audio, Video, Embedded Sensors, and Natural LanguageCode0
ViQAgent: Zero-Shot Video Question Answering via Agent with Open-Vocabulary Grounding ValidationCode0
BR-TaxQA-R: A Dataset for Question Answering with References for Brazilian Personal Income Tax Law, including case law—0
CRAFT: Training-Free Cascaded Retrieval for Tabular QA—0
Towards Spoken Mathematical Reasoning: Benchmarking Speech-based Models over Multi-faceted Math Problems—0
Leveraging Online Data to Enhance Medical Knowledge in a Small Persian Language ModelCode0
Improving LLM First-Token Predictions in Multiple-Choice Question Answering via Prefilling Attack—0
Keep Security! Benchmarking Security Policy Preservation in Large Language Model Contexts Against Indirect Attacks in Question AnsweringCode0
HopWeaver: Synthesizing Authentic Multi-Hop Questions Across Text CorporaCode1
UrduFactCheck: An Agentic Fact-Checking Framework for Urdu with Evidence Boosting and BenchmarkingCode0
KaFT: Knowledge-aware Fine-tuning for Boosting LLMs' Domain-specific Question-Answering Performance—0
SNAP: A Benchmark for Testing the Effects of Capture Conditions on Fundamental Vision TasksCode0
The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval AugmentationCode1
ChartCards: A Chart-Metadata Generation Framework for Multi-Task Chart UnderstandingCode0
Traveling Across Languages: Benchmarking Cross-Lingual Consistency in Multimodal LLMsCode0
Set-LLM: A Permutation-Invariant LLM—0
From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement LearningCode1
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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