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 3151–3200 of 10817 papers

TitleStatusHype
Multimodal Multihop Source Retrieval for Web Question Answering—0
Visual question answering: from early developments to recent advances -- a survey—0
Localizing AI: Evaluating Open-Weight Language Models for Languages of Baltic States—0
Multilingual Open QA on the MIA Shared Task—0
KAnoCLIP: Zero-Shot Anomaly Detection through Knowledge-Driven Prompt Learning and Enhanced Cross-Modal Integration—0
QuIM-RAG: Advancing Retrieval-Augmented Generation with Inverted Question Matching for Enhanced QA Performance—0
BoundingDocs: a Unified Dataset for Document Question Answering with Spatial Annotations—0
Socratic Questioning: Learn to Self-guide Multimodal Reasoning in the WildCode0
ReDiT: Re‑evaluating large visual question answering model confidence by defining input scenario Difficulty and applying Temperature mappingCode0
FlippedRAG: Black-Box Opinion Manipulation Adversarial Attacks to Retrieval-Augmented Generation Models—0
Survey on Question Answering over Visually Rich Documents: Methods, Challenges, and Trends—0
Accounting for Focus Ambiguity in Visual Questions—0
QuArch: A Question-Answering Dataset for AI Agents in Computer Architecture—0
MoColl: Agent-Based Specific and General Model Collaboration for Image Captioning—0
HLV-1K: A Large-scale Hour-Long Video Benchmark for Time-Specific Long Video UnderstandingCode0
Interpretable Face Anti-Spoofing: Enhancing Generalization with Multimodal Large Language Models—0
A Survey on Large Language Models with some Insights on their Capabilities and Limitations—0
(WhyPHI) Fine-Tuning PHI-3 for Multiple-Choice Question Answering: Methodology, Results, and ChallengesCode0
The Essence of Contextual Understanding in Theory of Mind: A Study on Question Answering with Story Characters—0
CLIP-UP: CLIP-Based Unanswerable Problem Detection for Visual Question Answering—0
Citations and Trust in LLM Generated Responses—0
Advancing Singlish Understanding: Bridging the Gap with Datasets and Multimodal ModelsCode0
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
Separation of Powers: On Segregating Knowledge from Observation in LLM-enabled Knowledge-based Visual Question Answering—0
AdaDARE-gamma: Balancing Stability and Plasticity in Multi-modal LLMs through Efficient Adaptation—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
Efficient Motion-Aware Video MLLM—0
EfficientLLaVA: Generalizable Auto-Pruning for Large Vision-language Models—0
Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform—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
AVQACL: A Novel Benchmark for Audio-Visual Question Answering Continual LearningCode0
Font-Agent: Enhancing Font Understanding with Large Language Models—0
JTD-UAV: MLLM-Enhanced Joint Tracking and Description Framework for Anti-UAV Systems—0
HierarQ: Task-Aware Hierarchical Q-Former for Enhanced Video Understanding—0
Zero-shot 3D Question Answering via Voxel-based Dynamic Token Compression—0
Seeing More with Less: Human-like Representations in Vision Models—0
A review of faithfulness metrics for hallucination assessment in Large Language Models—0
Probing Visual Language Priors in VLMs—0
LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models—0
An Empirical Evaluation of Large Language Models on Consumer Health Questions—0
MapEval: A Map-Based Evaluation of Geo-Spatial Reasoning in Foundation ModelsCode0
EQUATOR: A Deterministic Framework for Evaluating LLM Reasoning with Open-Ended Questions. # v1.0.0-beta—0
MapQaTor: An Extensible Framework for Efficient Annotation of Map-Based QA DatasetsCode0
Are LLMs Really Not Knowledgable? Mining the Submerged Knowledge in LLMs' Memory—0
WalkVLM:Aid Visually Impaired People Walking by Vision Language Model—0
Hierarchical Banzhaf Interaction for General Video-Language Representation Learning—0
Plug-and-Play Training Framework for Preference Optimization—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