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 4851–4900 of 10817 papers

TitleStatusHype
AQUALLM: Audio Question Answering Data Generation Using Large Language ModelsCode0
MIVC: Multiple Instance Visual Component for Visual-Language Models—0
GUITAR: Gradient Pruning toward Fast Neural Ranking—0
OmniDialog: An Omnipotent Pre-training Model for Task-Oriented Dialogue System—0
Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges—0
S2M: Converting Single-Turn to Multi-Turn Datasets for Conversational Question Answering—0
Conversational Question Answering with Reformulations over Knowledge Graph—0
Gemini Pro Defeated by GPT-4V: Evidence from Education—0
From text to multimodal: a survey of adversarial example generation in question answering systems—0
KnowledgeNavigator: Leveraging Large Language Models for Enhanced Reasoning over Knowledge Graph—0
SecQA: A Concise Question-Answering Dataset for Evaluating Large Language Models in Computer SecurityCode0
Detection-based Intermediate Supervision for Visual Question Answering—0
Supervised Knowledge Makes Large Language Models Better In-context LearnersCode0
PersianLLaMA: Towards Building First Persian Large Language Model—0
Paralinguistics-Enhanced Large Language Modeling of Spoken Dialogue—0
On the Promises and Challenges of Multimodal Foundation Models for Geographical, Environmental, Agricultural, and Urban Planning Applications—0
Numerical Reasoning for Financial ReportsCode0
Towards a Unified Multimodal Reasoning FrameworkCode0
Computational Semantics and Evaluation Benchmark for Interrogative Sentences via Combinatory Categorial Grammar—0
Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries—0
Diversifying Knowledge Enhancement of Biomedical Language Models using Adapter Modules and Knowledge Graphs—0
Typhoon: Thai Large Language Models—0
LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding—0
Shai: A large language model for asset management—0
Reducing Hallucinations: Enhancing VQA for Flood Disaster Damage Assessment with Visual Contexts—0
DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines—0
Perception Test 2023: A Summary of the First Challenge And Outcome—0
Object-aware Adaptive-Positivity Learning for Audio-Visual Question AnsweringCode0
Cross-Modal Reasoning with Event Correlation for Video Question Answering—0
Interactive Visual Task Learning for Robots—0
Multi-Clue Reasoning with Memory Augmentation for Knowledge-based Visual Question Answering—0
Object Attribute Matters in Visual Question AnsweringCode0
Contextual Code Switching for Machine Translation using Language Models—0
Relation-Aware Question Answering for Heterogeneous Knowledge GraphsCode0
PEPT: Expert Finding Meets Personalized Pre-training—0
VQA4CIR: Boosting Composed Image Retrieval with Visual Question AnsweringCode0
MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRACode0
CLOVA: A Closed-Loop Visual Assistant with Tool Usage and Update—0
OsmLocator: locating overlapping scatter marks with a non-training generative perspectiveCode0
UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models—0
Do LLMs Work on Charts? Designing Few-Shot Prompts for Chart Question Answering and Summarization—0
p-Laplacian Adaptation for Generative Pre-trained Vision-Language ModelsCode0
An Evaluation of GPT-4V and Gemini in Online VQA—0
LLM-SQL-Solver: Can LLMs Determine SQL Equivalence?Code0
Do Text Simplification Systems Preserve Meaning? A Human Evaluation via Reading ComprehensionCode0
Advancing Surgical VQA with Scene Graph Knowledge—0
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent—0
Pipeline and Dataset Generation for Automated Fact-checking in Almost Any LanguageCode0
GSQA: An End-to-End Model for Generative Spoken Question Answering—0
Dynamic Retrieval-Augmented Generation—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