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 4251–4300 of 10817 papers

TitleStatusHype
Neural models for Factual Inconsistency Classification with ExplanationsCode0
COSA: Concatenated Sample Pretrained Vision-Language Foundation ModelCode1
LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language ModelsCode2
Improving Selective Visual Question Answering by Learning from Your PeersCode1
Unifying Large Language Models and Knowledge Graphs: A Roadmap—0
Scalable Neural-Probabilistic Answer Set ProgrammingCode1
Visual Question Answering (VQA) on Images with Superimposed Text—0
Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP TrainingCode0
AVIS: Autonomous Visual Information Seeking with Large Language Model Agent—0
h2oGPT: Democratizing Large Language ModelsCode6
Improving Opinion-based Question Answering Systems Through Label Error Detection and Overwrite—0
Soft Language Clustering for Multilingual Model Pre-training—0
Question Decomposition Tree for Answering Complex Questions over Knowledge BasesCode1
WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human PreferencesCode3
A Practical Entity Linking System for Tables in Scientific Literature—0
When Do Annotator Demographics Matter? Measuring the Influence of Annotator Demographics with the POPQUORN DatasetCode1
The Effect of Masking Strategies on Knowledge Retention by Language ModelsCode0
History Semantic Graph Enhanced Conversational KBQA with Temporal Information Modeling—0
A Survey of Vision-Language Pre-training from the Lens of Multimodal Machine Translation—0
Global and Local Semantic Completion Learning for Vision-Language Pre-trainingCode1
Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question AnsweringCode0
Multi-modal Pre-training for Medical Vision-language Understanding and Generation: An Empirical Study with A New BenchmarkCode1
Towards the Exploitation of LLM-based Chatbot for Providing Legal Support to Palestinian Cooperatives—0
Leveraging Large Language Models for Scalable Vector Graphics-Driven Image UnderstandingCode0
Privacy Aware Question-Answering System for Online Mental Health Risk Assessment—0
Modular Visual Question Answering via Code GenerationCode1
Improving Vietnamese Legal Question--Answering System based on Automatic Data Enrichment—0
Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language ModelsCode3
Knowledge Detection by Relevant Question and Image Attributes in Visual Question Answering—0
Mapping the Challenges of HCI: An Application and Evaluation of ChatGPT and GPT-4 for Mining Insights at Scale—0
PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for FinanceCode2
Phrase Retrieval for Open-Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive LearningCode0
When to Read Documents or QA History: On Unified and Selective Open-domain QA—0
Evaluation of ChatGPT on Biomedical Tasks: A Zero-Shot Comparison with Fine-Tuned Generative Transformers—0
Enhancing In-Context Learning with Answer Feedback for Multi-Span Question AnsweringCode1
Benchmarking Foundation Models with Language-Model-as-an-Examiner—0
Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering—0
Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data AugmentationCode0
LogiQA 2.0—An Improved Dataset for Logical Reasoning in Natural Language UnderstandingCode0
Prompt Space Optimizing Few-shot Reasoning Success with Large Language ModelsCode0
Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images!Code1
Diversifying Joint Vision-Language Tokenization Learning—0
Triggering Multi-Hop Reasoning for Question Answering in Language Models using Soft Prompts and Random Walks—0
CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language ModelsCode0
An Approach to Solving the Abstraction and Reasoning Corpus (ARC) ChallengeCode1
SamToNe: Improving Contrastive Loss for Dual Encoder Retrieval Models with Same Tower Negatives—0
Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trained Visual Document Understanding ModelsCode0
PokemonChat: Auditing ChatGPT for Pokémon Universe Knowledge—0
Benchmarking Large Language Models on CMExam -- A Comprehensive Chinese Medical Exam DatasetCode1
Evaluation of AI Chatbots for Patient-Specific EHR Questions—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