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 7501–7525 of 10817 papers

TitleStatusHype
Predicting Difficulty and Discrimination of Natural Language Questions—0
Predicting Helpful Posts in Open-Ended Discussion Forums: A Neural Architecture—0
Amharic Question Answering for Biography, Definition, and Description Questions—0
Predicting Question-Answering Performance of Large Language Models through Semantic Consistency—0
Predicting Question Quality on StackOverflow with Neural Networks—0
Predicting Relative Depth between Objects from Semantic Features—0
Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming in NLP—0
GRILLBot: A multi-modal conversational agent for complex real-world tasks—0
Griffon-G: Bridging Vision-Language and Vision-Centric Tasks via Large Multimodal Models—0
Predicting the Difficulty of Multiple Choice Questions in a High-stakes Medical Exam—0
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding—0
Grid Search Hyperparameter Benchmarking of BERT, ALBERT, and LongFormer on DuoRC—0
Grid-LOGAT: Grid Based Local and Global Area Transcription for Video Question Answering—0
Prediction of the Realisation of an Information Need: An EEG Study—0
Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs—0
Prediction or Comparison: Toward Interpretable Qualitative Reasoning—0
Preferred Answer Selection in Stack Overflow: Better Text Representations ... and Metadata, Metadata, Metadata—0
PREFER: Using a Graph-Based Approach to Generate Paraphrases for Language Learning—0
A Structured Distributional Semantic Model for Event Co-reference—0
A dataset of clinically generated visual questions and answers about radiology images—0
Prompt Engineering for Healthcare: Methodologies and Applications—0
PreSTU: Pre-Training for Scene-Text Understanding—0
Green Prompting—0
Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model—0
Comprehensive Event Representations using Event Knowledge Graphs and Natural Language Processing—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