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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3101–3150 of 10817 papers

TitleStatusHype
VISREAS: Complex Visual Reasoning with Unanswerable Questions—0
Evaluating the Performance of ChatGPT for Spam Email Detection—0
ArabianGPT: Native Arabic GPT-based Large Language Model—0
Multimodal Transformer With a Low-Computational-Cost Guarantee—0
Interactive-KBQA: Multi-Turn Interactions for Knowledge Base Question Answering with Large Language ModelsCode1
Biomedical Entity Linking as Multiple Choice Question AnsweringCode0
Cost-Adaptive Recourse Recommendation by Adaptive Preference Elicitation—0
Faithful Temporal Question Answering over Heterogeneous Sources—0
SIMPLOT: Enhancing Chart Question Answering by Distilling EssentialsCode1
Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP EducationCode1
CommVQA: Situating Visual Question Answering in Communicative ContextsCode0
Visual Hallucinations of Multi-modal Large Language ModelsCode1
Do LLMs Implicitly Determine the Suitable Text Difficulty for Users?Code0
Does the Generator Mind its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer—0
Uncertainty-Aware Evaluation for Vision-Language ModelsCode1
Data Science with LLMs and Interpretable ModelsCode2
Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond—0
Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question AnsweringCode1
ActiveRAG: Autonomously Knowledge Assimilation and Accommodation through Retrieval-Augmented AgentsCode2
Learning to Poison Large Language Models for Downstream ManipulationCode1
FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language ModelsCode2
Retrieval Helps or Hurts? A Deeper Dive into the Efficacy of Retrieval Augmentation to Language ModelsCode0
RefuteBench: Evaluating Refuting Instruction-Following for Large Language ModelsCode0
Towards Building Multilingual Language Model for MedicineCode3
PQA: Zero-shot Protein Question Answering for Free-form Scientific Enquiry with Large Language ModelsCode0
Self-DC: When to Reason and When to Act? Self Divide-and-Conquer for Compositional Unknown Questions—0
LLMs Meet Long Video: Advancing Long Video Question Answering with An Interactive Visual Adapter in LLMs—0
Cognitive Visual-Language Mapper: Advancing Multimodal Comprehension with Enhanced Visual Knowledge AlignmentCode1
Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions—0
DrBenchmark: A Large Language Understanding Evaluation Benchmark for French Biomedical DomainCode1
Question Calibration and Multi-Hop Modeling for Temporal Question Answering—0
BiMediX: Bilingual Medical Mixture of Experts LLMCode1
Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data—0
Slot-VLM: SlowFast Slots for Video-Language Modeling—0
FormulaReasoning: A Dataset for Formula-Based Numerical ReasoningCode0
FinBen: A Holistic Financial Benchmark for Large Language ModelsCode4
Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering—0
VideoPrism: A Foundational Visual Encoder for Video Understanding—0
Benchmarking Retrieval-Augmented Generation for MedicineCode4
RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning—0
Training Table Question Answering via SQL Query Decomposition—0
Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?Code0
TrustScore: Reference-Free Evaluation of LLM Response TrustworthinessCode0
Tables as Texts or Images: Evaluating the Table Reasoning Ability of LLMs and MLLMs—0
Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMsCode2
Cofca: A Step-Wise Counterfactual Multi-hop QA benchmark—0
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models—0
BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting Evidence—0
Graph-Based Retriever Captures the Long Tail of Biomedical Knowledge—0
MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMsCode1
Show:102550
← PrevPage 63 of 217Next →
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