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 4701–4750 of 10817 papers

TitleStatusHype
Does Synthetic Data Generation of LLMs Help Clinical Text Mining?—0
Exploring the Feasibility of ChatGPT for Event Extraction—0
Graph Neural Networks in Vision-Language Image Understanding: A Survey—0
PaLM-E: An Embodied Multimodal Language ModelCode2
Video Question Answering Using CLIP-Guided Visual-Text Attention—0
AmQA: Amharic Question Answering Dataset—0
Knowledge-Based Counterfactual Queries for Visual Question Answering—0
VTQA: Visual Text Question Answering via Entity Alignment and Cross-Media ReasoningCode0
Structure Pretraining and Prompt Tuning for Knowledge Graph TransferCode1
Domain Specific Question Answering Over Knowledge Graphs Using Logical Programming and Large Language ModelsCode1
Discovery and Recognition of Formula Concepts using Machine LearningCode0
Prophet: Prompting Large Language Models with Complementary Answer Heuristics for Knowledge-based Visual Question AnsweringCode2
QAID: Question Answering Inspired Few-shot Intent Detection—0
ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of PneumothoraxCode1
WiCE: Real-World Entailment for Claims in WikipediaCode1
Can BERT Refrain from Forgetting on Sequential Tasks? A Probing StudyCode0
MixPHM: Redundancy-Aware Parameter-Efficient Tuning for Low-Resource Visual Question AnsweringCode1
BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairsCode1
RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-trainingCode1
Almanac: Retrieval-Augmented Language Models for Clinical Medicine—0
A Universal Question-Answering Platform for Knowledge GraphsCode1
VQA with Cascade of Self- and Co-Attention Blocks—0
OEKG: The Open Event Knowledge Graph—0
Language Is Not All You Need: Aligning Perception with Language Models—0
Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets—0
LLaMA: Open and Efficient Foundation Language ModelsCode7
Contrastive Video Question Answering via Video Graph TransformerCode1
CLICKER: Attention-Based Cross-Lingual Commonsense Knowledge Transfer—0
Cross-Lingual Question Answering over Knowledge Base as Reading ComprehensionCode0
Bayesian Networks for Named Entity Prediction in Programming Community Question Answering—0
Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models—0
Choice Fusion as Knowledge for Zero-Shot Dialogue State TrackingCode0
Medical visual question answering using joint self-supervised learning—0
Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback—0
CARE: Collaborative AI-Assisted Reading EnvironmentCode1
Time-aware Multiway Adaptive Fusion Network for Temporal Knowledge Graph Question Answering—0
Extracting Victim Counts from TextCode0
Dr ChatGPT, tell me what I want to hear: How prompt knowledge impacts health answer correctness—0
Testing AI on language comprehension tasks reveals insensitivity to underlying meaning—0
FiTs: Fine-grained Two-stage Training for Knowledge-aware Question AnsweringCode1
Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?Code1
EVJVQA Challenge: Multilingual Visual Question Answering—0
MFBE: Leveraging Multi-Field Information of FAQs for Efficient Dense RetrievalCode0
VinVL+L: Enriching Visual Representation with Location Context in VQACode0
Construction of Knowledge Graphs: State and Challenges—0
Connecting Vision and Language with Video Localized NarrativesCode1
ChatGPT: Jack of all trades, master of noneCode1
Real-World Deployment and Evaluation of Kwame for Science, An AI Teaching Assistant for Science Education in West Africa—0
Hyena Hierarchy: Towards Larger Convolutional Language ModelsCode2
Reusable Slotwise Mechanisms—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