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 10251–10300 of 10817 papers

TitleStatusHype
SuperAgent: A Customer Service Chatbot for E-commerce Websites—0
Superhuman performance in urology board questions by an explainable large language model enabled for context integration of the European Association of Urology guidelines: the UroBot study—0
Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?—0
Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization—0
Supersense tagging for Danish—0
SUper Team at SemEval-2016 Task 3: Building a feature-rich system for community question answering—0
Supervised and Unsupervised Methods for Robust Separation of Section Titles and Prose Text in Web Documents—0
Supervised and Unsupervised Transfer Learning for Question Answering—0
Supervised Distributional Hypernym Discovery via Domain Adaptation—0
Supervised Open Information Extraction—0
Supervised Relation Classification as Two-way Span-Prediction—0
Supervised Transfer Learning for Product Information Question Answering—0
Feedback-Driven Vision-Language Alignment with Minimal Human Supervision—0
Support-BERT: Predicting Quality of Question-Answer Pairs in MSDN using Deep Bidirectional Transformer—0
Surface Text based Dialogue Models for Virtual Humans—0
Surgical-LLaVA: Toward Surgical Scenario Understanding via Large Language and Vision Models—0
Surgical-LVLM: Learning to Adapt Large Vision-Language Model for Grounded Visual Question Answering in Robotic Surgery—0
SurgicalVLM-Agent: Towards an Interactive AI Co-Pilot for Pituitary Surgery—0
SurveillanceVQA-589K: A Benchmark for Comprehensive Surveillance Video-Language Understanding with Large Models—0
SurveyAgent: A Conversational System for Personalized and Efficient Research Survey—0
Survey: Anaphora With Non-nominal Antecedents in Computational Linguistics: a Survey—0
Survey in Characterization of Semantic Change—0
Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges—0
Survey of Hallucination in Natural Language Generation—0
Survey of Large Multimodal Model Datasets, Application Categories and Taxonomy—0
Survey of reasoning using Neural networks—0
Survey of Recent Advances in Visual Question Answering—0
Survey of Visual Question Answering: Datasets and Techniques—0
Survey of Visual-Semantic Embedding Methods for Zero-Shot Image Retrieval—0
Survey on Evaluation Methods for Dialogue Systems—0
Survey on Question Answering over Visually Rich Documents: Methods, Challenges, and Trends—0
Survey on Semantic Interpretation of Tabular Data: Challenges and Directions—0
SUTime: A library for recognizing and normalizing time expressions—0
SUTime: Evaluation in TempEval-3—0
Suvach -- Generated Hindi QA benchmark—0
SViQA: A Unified Speech-Vision Multimodal Model for Textless Visual Question Answering—0
SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models—0
SVLTA: Benchmarking Vision-Language Temporal Alignment via Synthetic Video Situation—0
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference—0
SwaQuAD-24: QA Benchmark Dataset in Swahili—0
Swarm Intelligence in Geo-Localization: A Multi-Agent Large Vision-Language Model Collaborative Framework—0
Switchable Decision: Dynamic Neural Generation Networks—0
Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input—0
SXUCFN-Core: STS Models Integrating FrameNet Parsing Information—0
SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal Alignment—0
SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases—0
Symbolic Graph Inference for Compound Scene Understanding—0
Symbol-Shift Equivariant Neural Networks—0
SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages—0
Synergizing LLMs and Knowledge Graphs: A Novel Approach to Software Repository-Related Question Answering—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