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 1101–1150 of 10817 papers

TitleStatusHype
SUGAR: Leveraging Contextual Confidence for Smarter Retrieval—0
LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding—0
VoxEval: Benchmarking the Knowledge Understanding Capabilities of End-to-End Spoken Language ModelsCode1
Commonsense Video Question Answering through Video-Grounded Entailment Tree Reasoning—0
Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks—0
Feedback-Driven Vision-Language Alignment with Minimal Human Supervision—0
Knowledge Retrieval Based on Generative AI—0
TimelineKGQA: A Comprehensive Question-Answer Pair Generator for Temporal Knowledge GraphsCode0
Multilingual Open QA on the MIA Shared Task—0
Localizing AI: Evaluating Open-Weight Language Models for Languages of Baltic States—0
KAnoCLIP: Zero-Shot Anomaly Detection through Knowledge-Driven Prompt Learning and Enhanced Cross-Modal Integration—0
Multimodal Multihop Source Retrieval for Web Question Answering—0
Visual question answering: from early developments to recent advances -- a survey—0
BoundingDocs: a Unified Dataset for Document Question Answering with Spatial Annotations—0
FlippedRAG: Black-Box Opinion Manipulation Adversarial Attacks to Retrieval-Augmented Generation Models—0
ReDiT: Re‑evaluating large visual question answering model confidence by defining input scenario Difficulty and applying Temperature mappingCode0
Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model EvaluationCode1
Socratic Questioning: Learn to Self-guide Multimodal Reasoning in the WildCode0
QuIM-RAG: Advancing Retrieval-Augmented Generation with Inverted Question Matching for Enhanced QA Performance—0
Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs?Code1
Survey on Question Answering over Visually Rich Documents: Methods, Challenges, and Trends—0
Accounting for Focus Ambiguity in Visual Questions—0
A Survey on Large Language Models with some Insights on their Capabilities and Limitations—0
The Essence of Contextual Understanding in Theory of Mind: A Study on Question Answering with Story Characters—0
Interpretable Face Anti-Spoofing: Enhancing Generalization with Multimodal Large Language Models—0
HLV-1K: A Large-scale Hour-Long Video Benchmark for Time-Specific Long Video UnderstandingCode0
QuArch: A Question-Answering Dataset for AI Agents in Computer Architecture—0
MoColl: Agent-Based Specific and General Model Collaboration for Image Captioning—0
(WhyPHI) Fine-Tuning PHI-3 for Multiple-Choice Question Answering: Methodology, Results, and ChallengesCode0
Predicting the Performance of Black-box LLMs through Self-QueriesCode1
Citations and Trust in LLM Generated Responses—0
CLIP-UP: CLIP-Based Unanswerable Problem Detection for Visual Question Answering—0
Advancing Singlish Understanding: Bridging the Gap with Datasets and Multimodal ModelsCode0
AdaDARE-gamma: Balancing Stability and Plasticity in Multi-modal LLMs through Efficient Adaptation—0
Separation of Powers: On Segregating Knowledge from Observation in LLM-enabled Knowledge-based Visual Question Answering—0
Enhancing Video-LLM Reasoning via Agent-of-Thoughts Distillation—0
Alignment, Mining and Fusion: Representation Alignment with Hard Negative Mining and Selective Knowledge Fusion for Medical Visual Question Answering—0
AdaCM^2: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction—0
SVLTA: Benchmarking Vision-Language Temporal Alignment via Synthetic Video Situation—0
Font-Agent: Enhancing Font Understanding with Large Language Models—0
HierarQ: Task-Aware Hierarchical Q-Former for Enhanced Video Understanding—0
Efficient Motion-Aware Video MLLM—0
EfficientLLaVA: Generalizable Auto-Pruning for Large Vision-language Models—0
AVQACL: A Novel Benchmark for Audio-Visual Question Answering Continual LearningCode0
Notes-guided MLLM Reasoning: Enhancing MLLM with Knowledge and Visual Notes for Visual Question AnsweringCode1
JTD-UAV: MLLM-Enhanced Joint Tracking and Description Framework for Anti-UAV Systems—0
Zero-shot 3D Question Answering via Voxel-based Dynamic Token Compression—0
MIMO: A Medical Vision Language Model with Visual Referring Multimodal Input and Pixel Grounding Multimodal OutputCode0
Flexible Frame Selection for Efficient Video Reasoning—0
Seeing More with Less: Human-like Representations in Vision Models—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