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 5451–5475 of 10817 papers

TitleStatusHype
The Effect of Masking Strategies on Knowledge Retention by Language ModelsCode0
A Practical Entity Linking System for Tables in Scientific Literature—0
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
Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question AnsweringCode0
Leveraging Large Language Models for Scalable Vector Graphics-Driven Image UnderstandingCode0
Privacy Aware Question-Answering System for Online Mental Health Risk Assessment—0
Towards the Exploitation of LLM-based Chatbot for Providing Legal Support to Palestinian Cooperatives—0
Mapping the Challenges of HCI: An Application and Evaluation of ChatGPT and GPT-4 for Mining Insights at Scale—0
Knowledge Detection by Relevant Question and Image Attributes in Visual Question Answering—0
Improving Vietnamese Legal Question--Answering System based on Automatic Data Enrichment—0
Evaluation of ChatGPT on Biomedical Tasks: A Zero-Shot Comparison with Fine-Tuned Generative Transformers—0
When to Read Documents or QA History: On Unified and Selective Open-domain QA—0
Benchmarking Foundation Models with Language-Model-as-an-Examiner—0
Phrase Retrieval for Open-Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive LearningCode0
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
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
Prompt Space Optimizing Few-shot Reasoning Success with Large Language ModelsCode0
PokemonChat: Auditing ChatGPT for Pokémon Universe Knowledge—0
Evaluation of AI Chatbots for Patient-Specific EHR Questions—0
Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trained Visual Document Understanding ModelsCode0
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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