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 7701–7750 of 10817 papers

TitleStatusHype
A Step Towards Mixture of Grader: Statistical Analysis of Existing Automatic Evaluation Metrics—0
A Method of Passage-Based Document Retrieval in Question Answering System—0
Question Answering over Knowledge Base using Language Model Embeddings—0
Question Answering over Linked Data Using First-order Logic—0
Graph Based Similarity Measures for Synonym Extraction from Parsed Text—0
QA: from Turing Test to Intelligent Information Service—0
Graph Based Semi-Supervised Learning Approach for Tamil POS tagging—0
Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering—0
A Method for Multi-Hop Question Answering on Persian Knowledge Graph—0
QAID: Question Answering Inspired Few-shot Intent Detection—0
Graph-Based Retriever Captures the Long Tail of Biomedical Knowledge—0
A STEP towards Interpretable Multi-Hop Reasoning:Bridge Phrase Identification and Query Expansion—0
American == White in Multimodal Language-and-Image AI—0
A Dataset for Multimodal Question Answering in the Cultural Heritage Domain—0
Graph based Question Answering System—0
QANA: LLM-based Question Generation and Network Analysis for Zero-shot Key Point Analysis and Beyond—0
FFA Sora, video generation as fundus fluorescein angiography simulator—0
Graph-Based Knowledge Integration for Question Answering over Dialogue—0
Graph-based Heuristic Search for Module Selection Procedure in Neural Module Network—0
Graph-based Coherence Modeling For Assessing Readability—0
QANUS: An Open-source Question-Answering Platform—0
FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering—0
Compositional Distributional Semantics Models in Chunk-based Smoothed Tree Kernels—0
Accelerated materials language processing enabled by GPT—0
FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference—0
CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms—0
Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph—0
Graph Attention with Hierarchies for Multi-hop Question Answering—0
QA-TOOLBOX: Conversational Question-Answering for process task guidance in manufacturing—0
Filling a Knowledge Graph with a Crowd—0
QBERT: Generalist Model for Processing Questions—0
QCRI: Answer Selection for Community Question Answering - Experiments for Arabic and English—0
Fill-in-the-Blank: A Challenging Video Understanding Evaluation Framework—0
Compositional De-Attention Networks—0
GrapeQA: GRaph Augmentation and Pruning to Enhance Question-Answering—0
Compositional Attention Networks for Interpretability in Natural Language Question Answering—0
AstBERT: Enabling Language Model for Financial Code Understanding with Abstract Syntax Trees—0
Grammatical structures for word-level sentiment detection—0
QirK: Question Answering via Intermediate Representation on Knowledge Graphs—0
QIRL: Boosting Visual Question Answering via Optimized Question-Image Relation Learning—0
Grammarless Parsing for Joint Inference—0
Grammar Detection for Sentiment Analysis through Improved Viterbi Algorithm—0
Compositional and Lexical Semantics in RoBERTa, BERT and DistilBERT: A Case Study on CoQA—0
QnAMaker: Data to Bot in 2 Minutes—0
A Statistical Framework for Data-dependent Retrieval-Augmented Models—0
Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management—0
QQATeam at Qur’an QA 2022: Fine-Tunning Arabic QA Models for Qur’an QA Task—0
QRMeM: Unleash the Length Limitation through Question then Reflection Memory Mechanism—0
Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning—0
Question Answering over Knowledge Base using Factual Memory Networks—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