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 3226–3250 of 10817 papers

TitleStatusHype
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