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 3201–3250 of 10817 papers

TitleStatusHype
Dynamic Adaptive Network Intelligence—0
Exploring Embedding Priors in Prompt-Tuning for Improved Interpretability and Control—0
A Novel Discriminative Framework for Sentence-Level Discourse Analysis—0
BioAMA: Towards an End to End BioMedical Question Answering System—0
A Full End-to-End Semantic Role Labeler, Syntactic-agnostic Over Syntactic-aware?—0
Embodied Multimodal Multitask Learning—0
DUT-NLP at MEDIQA 2019: An Adversarial Multi-Task Network to Jointly Model Recognizing Question Entailment and Question Answering—0
Embodied Question Answering in Photorealistic Environments with Point Cloud Perception—0
DUTH at SemEval-2019 Task 8: Part-Of-Speech Features for Question Classification—0
Embodied Scene Understanding for Vision Language Models via MetaVQA—0
Binding Touch to Everything: Learning Unified Multimodal Tactile Representations—0
Bridge Damage Cause Estimation Using Multiple Images Based on Visual Question Answering—0
Emerging Pixel Grounding in Large Multimodal Models Without Grounding Supervision—0
Emily: Developing An Emotion-affective Open-Domain Chatbot with Knowledge Graph-based Persona—0
Exploring Fine-grained Entity Type Constraints for Distantly Supervised Relation Extraction—0
Emotion-Cause Pair Extraction as Question Answering—0
DUT-BIM at MEDIQA 2019: Utilizing Transformer Network and Medical Domain-Specific Contextualized Representations for Question Answering—0
Emotion Classification of COVID-19 Chinese Microblogs based on the Emotion Category Description—0
60 Data Points are Sufficient to Fine-Tune LLMs for Question-Answering—0
Empirically-motivated Generalizations of CCG Semantic Parsing Learning Algorithms—0
Empirical Methods for the Study of Denotation in Nominalizations in Spanish—0
Empirical Risk Minimization for Probabilistic Grammars: Sample Complexity and Hardness of Learning—0
Duplicate Question Retrieval and Confirmation Time Prediction in Software Communities—0
Empirical Study on Deep Learning Models for Question Answering—0
Employing Text Matching Network to Recognise Nuclearity in Chinese Discourse—0
A Novel DeBERTa-based Model for Financial Question Answering Task—0
Bridging Question Answering and Discourse The case of Multi-Sentence Questions—0
Empowering Language Models with Active Inquiry for Deeper Understanding—0
Empowering Language Models with Knowledge Graph Reasoning for Question Answering—0
DUBLIN -- Document Understanding By Language-Image Network—0
A Novel Computational and Modeling Foundation for Automatic Coherence Assessment—0
A Frustratingly Easy Improvement for Position Embeddings via Random Padding—0
DUAL: Textless Spoken Question Answering with Speech Discrete Unit Adaptive Learning—0
Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition—0
Bridging the Gap Between Information Seeking and Product Search Systems: Q&A Recommendation for E-commerce—0
Leveraging Inter-Chunk Interactions for Enhanced Retrieval in Large Language Model-Based Question Answering—0
emrQA-msquad: A Medical Dataset Structured with the SQuAD V2.0 Framework, Enriched with emrQA Medical Information—0
Emulating Human Cognitive Processes for Expert-Level Medical Question-Answering with Large Language Models—0
Exploring Diverse Methods in Visual Question Answering—0
Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation—0
Enabling Transitivity for Lexical Inference on Chinese Verbs Using Probabilistic Soft Logic—0
Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling—0
Exploring Fluent Query Reformulations with Text-to-Text Transformers and Reinforcement Learning—0
Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text—0
Encoding Explanatory Knowledge for Zero-shot Science Question Answering—0
Encoding Implicit Relation Requirements for Relation Extraction: A Joint Inference Approach—0
Exploring Sparse Spatial Relation in Graph Inference for Text-Based VQA—0
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories—0
DualNet: Domain-Invariant Network for Visual Question Answering—0
Bilingual Event Extraction: a Case Study on Trigger Type Determination—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