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 4201–4250 of 10817 papers

TitleStatusHype
PRD: Peer Rank and Discussion Improve Large Language Model based EvaluationsCode1
Text Alignment Is An Efficient Unified Model for Massive NLP TasksCode1
RecallM: An Adaptable Memory Mechanism with Temporal Understanding for Large Language ModelsCode0
Improving Retrieval-Augmented Large Language Models via Data Importance LearningCode1
UIT-Saviors at MEDVQA-GI 2023: Improving Multimodal Learning with Image Enhancement for Gastrointestinal Visual Question Answering—0
Performance Comparison of Large Language Models on VNHSGE English Dataset: OpenAI ChatGPT, Microsoft Bing Chat, and Google Bard—0
Won't Get Fooled Again: Answering Questions with False PremisesCode1
Modeling Tag Prediction based on Question Tagging Behavior Analysis of CommunityQA Platform Users—0
Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language ModelsCode1
Exploring the In-context Learning Ability of Large Language Model for Biomedical Concept Linking—0
Localized Questions in Medical Visual Question AnsweringCode1
JourneyDB: A Benchmark for Generative Image UnderstandingCode2
Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal DataCode0
Single Sequence Prediction over Reasoning Graphs for Multi-hop QACode0
BatGPT: A Bidirectional Autoregessive Talker from Generative Pre-trained TransformerCode2
DoReMi: Grounding Language Model by Detecting and Recovering from Plan-Execution Misalignment—0
Lightweight Recurrent Cross-modal Encoder for Video Question AnsweringCode0
Multimodal Prompt Retrieval for Generative Visual Question AnsweringCode1
Unified Language Representation for Question Answering over Text, Tables, and Images—0
Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question AnsweringCode1
Pre-Training Multi-Modal Dense Retrievers for Outside-Knowledge Visual Question AnsweringCode0
SE-PQA: Personalized Community Question AnsweringCode0
Fine-Tuning Large Language Models for Answering Programming Questions with Code Snippets—0
Fauno: The Italian Large Language Model that will leave you senza parole!Code1
FunQA: Towards Surprising Video ComprehensionCode1
FC-KBQA: A Fine-to-Coarse Composition Framework for Knowledge Base Question Answering—0
Visual Question Answering in Remote Sensing with Cross-Attention and Multimodal Information Bottleneck—0
Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input—0
Low-Rank Prune-And-Factorize for Language Model Compression—0
RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial PerturbationsCode1
ToolQA: A Dataset for LLM Question Answering with External ToolsCode2
Retrieving Supporting Evidence for LLMs Generated Answers—0
Public Attitudes Toward ChatGPT on Twitter: Sentiments, Topics, and OccupationsCode0
TaCA: Upgrading Your Visual Foundation Model with Task-agnostic Compatible AdapterCode0
ECG-QA: A Comprehensive Question Answering Dataset Combined With ElectrocardiogramCode1
Resources and Evaluations for Multi-Distribution Dense Information RetrievalCode1
CompMix: A Benchmark for Heterogeneous Question Answering—0
LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation—0
Persian Semantic Role Labeling Using Transfer Learning and BERT-Based Models—0
Clickbait Classification and Spoiling Using Natural Language Processing—0
Conformal Language ModelingCode1
ClinicalGPT: Large Language Models Finetuned with Diverse Medical Data and Comprehensive Evaluation—0
Investigating Prompting Techniques for Zero- and Few-Shot Visual Question AnsweringCode1
Pushing the Limits of ChatGPT on NLP Tasks—0
Learning to Summarize and Answer Questions about a Virtual Robot's Past Actions—0
Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health—0
Retrieving-to-Answer: Zero-Shot Video Question Answering with Frozen Large Language Models—0
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories—0
DiPlomat: A Dialogue Dataset for Situated Pragmatic Reasoning—0
Neural models for Factual Inconsistency Classification with ExplanationsCode0
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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