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 4776–4800 of 10817 papers

TitleStatusHype
Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes—0
It's About Time: Incorporating Temporality in Retrieval Augmented Language Models—0
TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Data—0
IICONGRAPH: improved Iconographic and Iconological Statements in Knowledge Graphs—0
SpeechDPR: End-to-End Spoken Passage Retrieval for Open-Domain Spoken Question Answering—0
Graph Guided Question Answer Generation for Procedural Question-Answering—0
Free Form Medical Visual Question Answering in Radiology—0
Revolutionizing Retrieval-Augmented Generation with Enhanced PDF Structure Recognition—0
Context Matters: Pushing the Boundaries of Open-Ended Answer Generation with Graph-Structured Knowledge Context—0
Speak It Out: Solving Symbol-Related Problems with Symbol-to-Language Conversion for Language ModelsCode0
SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities—0
Prompt-RAG: Pioneering Vector Embedding-Free Retrieval-Augmented Generation in Niche Domains, Exemplified by Korean Medicine—0
FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models—0
Dynamic Q&A of Clinical Documents with Large Language Models—0
Reinforcement learning for question answering in programming domain using public community scoring as a human feedback—0
ChatQA: Surpassing GPT-4 on Conversational QA and RAG—0
Instant Answering in E-Commerce Buyer-Seller Messaging using Message-to-Question Reformulation—0
Better Explain Transformers by Illuminating Important InformationCode0
Power in Numbers: Robust reading comprehension by finetuning with four adversarial sentences per example—0
Fine-tuning Strategies for Domain Specific Question Answering under Low Annotation Budget Constraints—0
QAnswer: Towards Question Answering Search over Websites—0
BERTologyNavigator: Advanced Question Answering with BERT-based Semantics—0
Knowledge Pyramid: A Novel Hierarchical Reasoning Structure for Generalized Knowledge Augmentation and Inference—0
Machine Translation with Large Language Models: Prompt Engineering for Persian, English, and Russian Directions—0
Large Language Models are Null-Shot Learners—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