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 4901–4925 of 10817 papers

TitleStatusHype
Enhancing Multi-modal and Multi-hop Question Answering via Structured Knowledge and Unified Retrieval-GenerationCode1
Natural Language Processing in Customer Service: A Systematic Review—0
SceneGATE: Scene-Graph based co-Attention networks for TExt visual question answering—0
Self-Prompting Large Language Models for Zero-Shot Open-Domain QACode1
Plansformer: Generating Symbolic Plans using Transformers—0
FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference—0
Best-Answer Prediction in Q&A Sites Using User Information—0
Attributed Question Answering: Evaluation and Modeling for Attributed Large Language ModelsCode1
Multi-VALUE: A Framework for Cross-Dialectal English NLP—0
CLAM: Selective Clarification for Ambiguous Questions with Generative Language Models—0
CLIPPO: Image-and-Language Understanding from Pixels Only—0
Build-a-Bot: Teaching Conversational AI Using a Transformer-Based Intent Recognition and Question Answering Architecture—0
APOLLO: An Optimized Training Approach for Long-form Numerical ReasoningCode1
Attentive Deep Neural Networks for Legal Document Retrieval—0
Despite "super-human" performance, current LLMs are unsuited for decisions about ethics and safety—0
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and MultimodalCode3
Prompting Is Programming: A Query Language for Large Language ModelsCode3
BigText-QA: Question Answering over a Large-Scale Hybrid Knowledge Graph—0
Momentum Contrastive Pre-training for Question Answering—0
Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging—0
MORTY: Structured Summarization for Targeted Information Extraction from Scholarly Articles—0
REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge MemoryCode0
The Turing Deception—0
From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Model to Pre-trained Machine ReaderCode0
VideoCoCa: Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners—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