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 5051–5075 of 10817 papers

TitleStatusHype
From Image to Language: A Critical Analysis of Visual Question Answering (VQA) Approaches, Challenges, and Opportunities—0
Are Large Language Models Reliable Judges? A Study on the Factuality Evaluation Capabilities of LLMs—0
Attention Alignment and Flexible Positional Embeddings Improve Transformer Length Extrapolation—0
Continuous Training and Fine-tuning for Domain-Specific Language Models in Medical Question Answering—0
VQA-GEN: A Visual Question Answering Benchmark for Domain Generalization—0
XAI-CLASS: Explanation-Enhanced Text Classification with Extremely Weak Supervision—0
DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text—0
A Systematic Evaluation of GPT-4V's Multimodal Capability for Medical Image Analysis—0
A Lightweight Method to Generate Unanswerable Questions in EnglishCode0
Trust, Accountability, and Autonomy in Knowledge Graph-based AI for Self-determination—0
KeyGen2Vec: Learning Document Embedding via Multi-label Keyword Generation in Question-Answering—0
EHRTutor: Enhancing Patient Understanding of Discharge Instructions—0
BioInstruct: Instruction Tuning of Large Language Models for Biomedical Natural Language Processing—0
Harvest Video Foundation Models via Efficient Post-Pretraining—0
Generative retrieval-augmented ontologic graph and multi-agent strategies for interpretive large language model-based materials design—0
Generating Context-Aware Natural Answers for Questions in 3D ScenesCode0
Fusing Temporal Graphs into Transformers for Time-Sensitive Question Answering—0
Learning to Follow Object-Centric Image Editing Instructions FaithfullyCode0
Dynamic Task and Weight Prioritization Curriculum Learning for Multimodal ImageryCode0
DCQA: Document-Level Chart Question Answering towards Complex Reasoning and Common-Sense UnderstandingCode0
Prompt-Engineering and Transformer-based Question Generation and Evaluation—0
A Few-Shot Learning Focused Survey on Recent Named Entity Recognition and Relation Classification Methods—0
Robust NL-to-Cypher Translation for KBQA: Harnessing Large Language Model with Chain of Prompts—0
Knowledge Corpus Error in Question AnsweringCode0
ViCLEVR: A Visual Reasoning Dataset and Hybrid Multimodal Fusion Model for Visual Question Answering in VietnameseCode0
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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