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 4151–4200 of 10817 papers

TitleStatusHype
Prompting Large Language Models with Speech Recognition Abilities—0
MythQA: Query-Based Large-Scale Check-Worthy Claim Detection through Multi-Answer Open-Domain Question AnsweringCode0
Robust Visual Question Answering: Datasets, Methods, and Future Challenges—0
Generator-Retriever-Generator Approach for Open-Domain Question AnsweringCode1
UMLS-KGI-BERT: Data-Centric Knowledge Integration in Transformers for Biomedical Entity Recognition—0
Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval AugmentationCode1
Towards Ontologically Grounded and Language-Agnostic Knowledge Graphs—0
A reinforcement learning approach for VQA validation: an application to diabetic macular edema grading—0
Explaining Autonomous Driving Actions with Visual Question AnsweringCode1
Traffic-Domain Video Question Answering with Automatic Captioning—0
Llama 2: Open Foundation and Fine-Tuned Chat ModelsCode8
Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla—0
Generative Visual Question Answering—0
Let's ViCE! Mimicking Human Cognitive Behavior in Image Generation Evaluation—0
Towards a performance analysis on pre-trained Visual Question Answering models for autonomous drivingCode0
Question Decomposition Improves the Faithfulness of Model-Generated ReasoningCode1
Extending the Frontier of ChatGPT: Code Generation and Debugging—0
PAT: Parallel Attention Transformer for Visual Question Answering in Vietnamese—0
TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT—0
Fast Quantum Algorithm for Attention Computation—0
A Neural-Symbolic Approach Towards Identifying Grammatically Correct Sentences—0
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge GraphCode2
Coupling Large Language Models with Logic Programming for Robust and General Reasoning from TextCode1
Sensi-BERT: Towards Sensitivity Driven Fine-Tuning for Parameter-Efficient BERT—0
A scoping review on multimodal deep learning in biomedical images and texts—0
DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question AnsweringCode0
MegaWika: Millions of reports and their sources across 50 diverse languages—0
Prompt Generate Train (PGT): Few-shot Domain Adaption of Retrieval Augmented Generation Models for Open Book Question-Answering—0
PolyLM: An Open Source Polyglot Large Language Model—0
Model Card and Evaluations for Claude Models—0
CAT-ViL: Co-Attention Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic SurgeryCode1
One-Versus-Others Attention: Scalable Multimodal Integration for Biomedical DataCode1
EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the BackboneCode1
Overview of BioASQ 2023: The eleventh BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering—0
Emu: Generative Pretraining in MultimodalityCode3
Rad-ReStruct: A Novel VQA Benchmark and Method for Structured Radiology ReportingCode1
BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference DatasetCode1
Event Extraction as Question Generation and AnsweringCode1
Enhancing Biomedical Text Summarization and Question-Answering: On the Utility of Domain-Specific Pre-Training—0
Multi-granularity Temporal Question Answering over Knowledge GraphsCode1
Self-Adaptive Sampling for Efficient Video Question-Answering on Image--Text ModelsCode1
SVIT: Scaling up Visual Instruction TuningCode3
Answering Ambiguous Questions via Iterative PromptingCode1
Reading Between the Lanes: Text VideoQA on the RoadCode0
TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal PredictionCode0
Read, Look or Listen? What's Needed for Solving a Multimodal Dataset—0
CORE-GPT: Combining Open Access research and large language models for credible, trustworthy question answeringCode0
Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph Reasoning—0
VisKoP: Visual Knowledge oriented Programming for Interactive Knowledge Base Question Answering—0
Improving Retrieval-Augmented Large Language Models via Data Importance LearningCode1
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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