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 7801–7825 of 10817 papers

TitleStatusHype
Question Answering based Clinical Text Structuring Using Pre-trained Language Model—0
Question-Answering Based Summarization of Electronic Health Records using Retrieval Augmented Generation—0
IPFormer-VideoLLM: Enhancing Multi-modal Video Understanding for Multi-shot Scenes—0
Cultural Palette: Pluralising Culture Alignment via Multi-agent Palette—0
Automated Discovery of Mathematical Definitions in Text with Deep Neural Networks—0
Question Answering for Complex Electronic Health Records Database using Unified Encoder-Decoder Architecture—0
iPerceive: Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering—0
Automated Discovery of Mathematical Definitions in Text—0
An automatically discovered chain-of-thought prompt generalizes to novel models and datasets—0
A Cognitive Evaluation Benchmark of Image Reasoning and Description for Large Vision-Language Models—0
Invited Talk: IBM Cognitive Computing - An NLP Renaissance!—0
INVITED TALK 2: Towards Universal Syntactic Processing of Natural Language—0
Investigating the use of Paraphrase Generation for Question Reformulation in the FRANK QA system—0
Question Answering in the Biomedical Domain—0
CUB: Benchmarking Context Utilisation Techniques for Language Models—0
Question-Answering Model for Schizophrenia Symptoms and Their Impact on Daily Life using Mental Health Forums Data—0
Automated CVE Analysis: Harnessing Machine Learning In Designing Question-Answering Models For Cybersecurity Information Extraction—0
Investigating the Generative Approach for Question Answering in E-Commerce—0
Question Answering on Linked Data: Challenges and Future Directions—0
Question Answering on Patient Medical Records with Private Fine-Tuned LLMs—0
Question Answering on Scholarly Knowledge Graphs—0
Question Answering Over Biological Knowledge Graph via Amazon Alexa—0
CTRL-O: Language-Controllable Object-Centric Visual Representation Learning—0
Investigating the Challenges of Temporal Relation Extraction from Clinical Text—0
CTPs: Contextual Temporal Profiles for Time Scoping Facts using State Change Detection—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