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 5251–5275 of 10817 papers

TitleStatusHype
KoBigBird-large: Transformation of Transformer for Korean Language Understanding—0
Adapting Large Language Models to Domains via Reading Comprehension—0
Syntax Tree Constrained Graph Network for Visual Question Answering—0
Multimodal Multi-Hop Question Answering Through a Conversation Between Tools and Efficiently Finetuned Large Language Models—0
Monolingual or Multilingual Instruction Tuning: Which Makes a Better AlpacaCode0
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference—0
NOWJ1@ALQAC 2023: Enhancing Legal Task Performance with Classic Statistical Models and Pre-trained Language Models—0
Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals—0
PDFTriage: Question Answering over Long, Structured Documents—0
Silver Retriever: Advancing Neural Passage Retrieval for Polish Question Answering—0
Structural Self-Supervised Objectives for TransformersCode0
Data Distribution Bottlenecks in Grounding Language Models to Knowledge BasesCode0
D3: Data Diversity Design for Systematic Generalization in Visual Question AnsweringCode0
Investigating Answerability of LLMs for Long-Form Question Answering—0
Feature Engineering in Learning-to-Rank for Community Question Answering Task—0
Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?—0
CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and CalibrationCode0
Evaluating the Ebb and Flow: An In-depth Analysis of Question-Answering Trends across Diverse Platforms—0
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning—0
NeCo@ALQAC 2023: Legal Domain Knowledge Acquisition for Low-Resource Languages through Data Enrichment—0
Two is Better Than One: Answering Complex Questions by Multiple Knowledge Sources with Generalized Links—0
Textbooks Are All You Need II: phi-1.5 technical report—0
AGent: A Novel Pipeline for Automatically Creating Unanswerable QuestionsCode0
Duplicate Question Retrieval and Confirmation Time Prediction in Software Communities—0
MMHQA-ICL: Multimodal In-context Learning for Hybrid Question Answering over Text, Tables and Images—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