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 3951–3975 of 10817 papers

TitleStatusHype
KOSMOS-2.5: A Multimodal Literate Model—0
Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables—0
Retrieve-Rewrite-Answer: A KG-to-Text Enhanced LLMs Framework for Knowledge Graph Question AnsweringCode1
Knowledge Graph Question Answering for Materials Science (KGQA4MAT): Developing Natural Language Interface for Metal-Organic Frameworks Knowledge Graph (MOF-KG) Using LLM—0
Sequence-to-Sequence Spanish Pre-trained Language ModelsCode0
QASnowball: An Iterative Bootstrapping Framework for High-Quality Question-Answering Data Generation—0
Enhancing Open-Domain Table Question Answering via Syntax- and Structure-aware Dense RetrievalCode0
Natural Language Embedded Programs for Hybrid Language Symbolic ReasoningCode1
Benchmarks for Pirá 2.0, a Reading Comprehension Dataset about the Ocean, the Brazilian Coast, and Climate Change—0
KoBigBird-large: Transformation of Transformer for Korean Language Understanding—0
Adapting Large Language Models to Domains via Reading Comprehension—0
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMsCode1
Syntax Tree Constrained Graph Network for Visual Question Answering—0
PDFTriage: Question Answering over Long, Structured Documents—0
Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals—0
Multimodal Multi-Hop Question Answering Through a Conversation Between Tools and Efficiently Finetuned Large Language Models—0
NOWJ1@ALQAC 2023: Enhancing Legal Task Performance with Classic Statistical Models and Pre-trained Language Models—0
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference—0
Monolingual or Multilingual Instruction Tuning: Which Makes a Better AlpacaCode0
D3: Data Diversity Design for Systematic Generalization in Visual Question AnsweringCode0
Investigating Answerability of LLMs for Long-Form Question Answering—0
Are Multilingual LLMs Culturally-Diverse Reasoners? An Investigation into Multicultural Proverbs and SayingsCode1
Structural Self-Supervised Objectives for TransformersCode0
Silver Retriever: Advancing Neural Passage Retrieval for Polish Question Answering—0
Advancing the Evaluation of Traditional Chinese Language Models: Towards a Comprehensive Benchmark SuiteCode2
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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