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 4751–4800 of 10817 papers

TitleStatusHype
PipeNet: Question Answering with Semantic Pruning over Knowledge GraphsCode0
Can Generative AI Support Patients' & Caregivers' Informational Needs? Towards Task-Centric Evaluation Of AI Systems—0
Binding Touch to Everything: Learning Unified Multimodal Tactile Representations—0
Instruction-Guided Scene Text Recognition—0
Desiderata for the Context Use of Question Answering Systems—0
Proximity QA: Unleashing the Power of Multi-Modal Large Language Models for Spatial Proximity AnalysisCode0
Fine-tuning Transformer-based Encoder for Turkish Language Understanding Tasks—0
Taxonomy of Mathematical PlagiarismCode0
QACP: An Annotated Question Answering Dataset for Assisting Chinese Python Programming LearnersCode0
YTCommentQA: Video Question Answerability in Instructional VideosCode0
Security and Privacy Challenges of Large Language Models: A Survey—0
Towards Optimizing the Costs of LLM Usage—0
Muffin or Chihuahua? Challenging Multimodal Large Language Models with Multipanel VQA—0
LCV2: An Efficient Pretraining-Free Framework for Grounded Visual Question Answering—0
Improving Data Augmentation for Robust Visual Question Answering with Effective Curriculum Learning—0
Fortifying Ethical Boundaries in AI: Advanced Strategies for Enhancing Security in Large Language Models—0
A RAG-based Question Answering System Proposal for Understanding Islam: MufassirQAS LLM—0
Equipping Language Models with Tool Use Capability for Tabular Data Analysis in Finance—0
DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure—0
Benchmarking Large Language Models in Complex Question Answering Attribution using Knowledge Graphs—0
Towards Consistent Natural-Language Explanations via Explanation-Consistency FinetuningCode0
Genie: Achieving Human Parity in Content-Grounded Datasets Generation—0
Fine-Grained Stateful Knowledge Exploration: A Novel Paradigm for Integrating Knowledge Graphs with Large Language ModelsCode0
Question answering systems for health professionals at the point of care -- a systematic review—0
CFMatch: Aligning Automated Answer Equivalence Evaluation with Expert Judgments For Open-Domain Question Answering—0
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