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 8201–8250 of 10817 papers

TitleStatusHype
Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language Models—0
A dataset and baselines for sequential open-domain question answering—0
Geometric Feature Enhanced Knowledge Graph Embedding and Spatial Reasoning—0
Geographic Question Answering: Challenges, Uniqueness, Classification, and Future Directions—0
Community Question Answering Platforms vs. Twitter for Predicting Characteristics of Urban Neighbourhoods—0
Geode: A Zero-shot Geospatial Question-Answering Agent with Explicit Reasoning and Precise Spatio-Temporal Retrieval—0
Evaluating LLMs' Mathematical Reasoning in Financial Document Question Answering—0
A Mathematical Abstraction for Balancing the Trade-off Between Creativity and Reality in Large Language Models—0
Revisiting the Primacy of English in Zero-shot Cross-lingual Transfer—0
GenSco: Can Question Decomposition based Passage Alignment improve Question Answering?—0
Community Answer Summarization for Multi-Sentence Question with Group L1 Regularization—0
GenRE: A Generative Model for Relation Extraction—0
CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models—0
Assessing Image Quality Issues for Real-World Problems—0
Commonsense Visual Sensemaking for Autonomous Driving: On Generalised Neurosymbolic Online Abduction Integrating Vision and Semantics—0
Assessing Graphical Perception of Image Embedding Models using Channel Effectiveness—0
Genie: Achieving Human Parity in Content-Grounded Datasets Generation—0
Commonsense Video Question Answering through Video-Grounded Entailment Tree Reasoning—0
AmaSQuAD: A Benchmark for Amharic Extractive Question Answering—0
Revisiting the Open-Domain Question Answering Pipeline—0
Revisiting the Superficial Alignment Hypothesis—0
Generic Attention-model Explainability by Weighted Relevance Accumulation—0
Generative Visual Question Answering—0
Generative Stock Question Answering—0
Assessing Crowdsourcing Quality through Objective Tasks—0
Revisiting Multi-Modal LLM Evaluation—0
Generative retrieval-augmented ontologic graph and multi-agent strategies for interpretive large language model-based materials design—0
Generative Relation Linking for Question Answering over Knowledge Bases—0
Assessing and Enhancing Large Language Models in Rare Disease Question-answering—0
Commonsense Knowledge in Wikidata—0
Generative Question Answering: Learning to Answer the Whole Question—0
AMAQA: A Metadata-based QA Dataset for RAG Systems—0
Revisiting Large Language Models as Zero-shot Relation Extractors—0
Revisiting the Evaluation for Cross Document Event Coreference—0
Generative Pre-trained Transformer for Vietnamese Community-based COVID-19 Question Answering—0
Commonsense Knowledge Base Completion and Generation—0
Generative Long-form Question Answering: Relevance, Faithfulness and Succinctness—0
Assertion-based QA with Question-Aware Open Information Extraction—0
A case study of Generative AI in MSX Sales Copilot: Improving seller productivity with a real-time question-answering system for content recommendation—0
Generative Language Models Potential for Requirement Engineering Applications: Insights into Current Strengths and Limitations—0
Generative Language Models for Paragraph-Level Question Generation—0
ASRank: Zero-Shot Re-Ranking with Answer Scent for Document Retrieval—0
Generative Entity Networks: Disentangling Entitites and Attributes in Visual Scenes using Partial Natural Language Descriptions—0
Generative Distribution Prediction: A Unified Approach to Multimodal Learning—0
A Data-Driven Study of Commonsense Knowledge using the ConceptNet Knowledge Base—0
Revisiting EmbodiedQA: A Simple Baseline and Beyond—0
Revisiting the Evaluation of Theory of Mind through Question Answering—0
Generative Context Pair Selection for Multi-hop Question Answering—0
Committed Belief Tagging on the Factbank and LU Corpora: A Comparative Study—0
CoMiC: Adapting a Short Answer Assessment System for Answer Selection—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