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 4551–4600 of 10817 papers

TitleStatusHype
FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees—0
ChatASU: Evoking LLM's Reflexion to Truly Understand Aspect Sentiment in Dialogues—0
Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge—0
A Review on Deep Learning Techniques Applied to Answer Selection—0
A Lexicon-based Investigation of Research Issues in Japanese Factuality Analysis—0
FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering—0
ChartReasoner: Code-Driven Modality Bridging for Long-Chain Reasoning in Chart Question Answering—0
FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering—0
Chart Question Answering: State of the Art and Future Directions—0
Face-to-Face Contrastive Learning for Social Intelligence Question-Answering—0
Face-MLLM: A Large Face Perception Model—0
ChartQA-X: Generating Explanations for Charts—0
A Review of Reinforcement Learning for Natural Language Processing, and Applications in Healthcare—0
ADAPT Centre Cone Team at IJCNLP-2017 Task 5: A Similarity-Based Logistic Regression Approach to Multi-choice Question Answering in an Examinations Shared Task—0
Fabula Entropy Indexing: Objective Measures of Story Coherence—0
FabricQA-Extractor: A Question Answering System to Extract Information from Documents using Natural Language Questions—0
FabKG: A Knowledge graph of Manufacturing Science domain utilizing structured and unconventional unstructured knowledge source—0
ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models—0
A Review of Hybrid and Ensemble in Deep Learning for Natural Language Processing—0
FabGPT: An Efficient Large Multimodal Model for Complex Wafer Defect Knowledge Queries—0
FaBERT: Pre-training BERT on Persian Blogs—0
ChartMind: A Comprehensive Benchmark for Complex Real-world Multimodal Chart Question Answering—0
FA3L at SemEval-2017 Task 3: A ThRee Embeddings Recurrent Neural Network for Question Answering—0
ChartKG: A Knowledge-Graph-Based Representation for Chart Images—0
A review of faithfulness metrics for hallucination assessment in Large Language Models—0
A Learn-Then-Reason Model Towards Generalization in Knowledge Base Question Answering—0
Eye-SpatialNet: Spatial Information Extraction from Ophthalmology Notes—0
Look Before You Decide: Prompting Active Deduction of MLLMs for Assumptive Reasoning—0
EyeFound: A Multimodal Generalist Foundation Model for Ophthalmic Imaging—0
Charting the Future: Using Chart Question-Answering for Scalable Evaluation of LLM-Driven Data Visualizations—0
A Review of Deep Learning for Video Captioning—0
Extrinsic Evaluation of Machine Translation Metrics—0
Extreme Classification for Answer Type Prediction in Question Answering—0
Chart-HQA: A Benchmark for Hypothetical Question Answering in Charts—0
A Retrieval-Augmented Knowledge Mining Method with Deep Thinking LLMs for Biomedical Research and Clinical Support—0
ALBERT with Knowledge Graph Encoder Utilizing Semantic Similarity for Commonsense Question Answering—0
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs—0
Extractive Question Answering on Queries in Hindi and Tamil—0
ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution—0
Extractive NarrativeQA with Heuristic Pre-Training—0
Extractive Headline Generation Based on Learning to Rank for Community Question Answering—0
Are the Hidden States Hiding Something? Testing the Limits of Factuality-Encoding Capabilities in LLMs—0
Extraction of Product Specifications from the Web -- Going Beyond Tables and Lists—0
Extraction of Daily Changing Words for Question Answering—0
Extraction Meets Abstraction: Ideal Answer Generation for Biomedical Questions—0
Character Sequence-to-Sequence Model with Global Attention for Universal Morphological Reinflection—0
A Restricted Visual Turing Test for Deep Scene and Event Understanding—0
Extracting Training Data from Document-Based VQA Models—0
Extracting Time Expressions from Clinical Text—0
Character Matters: Video Story Understanding with Character-Aware Relations—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