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 3276–3300 of 10817 papers

TitleStatusHype
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
Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language ModelsCode2
DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure—0
Equipping Language Models with Tool Use Capability for Tabular Data Analysis in Finance—0
Benchmarking Large Language Models in Complex Question Answering Attribution using Knowledge Graphs—0
LongHealth: A Question Answering Benchmark with Long Clinical DocumentsCode1
Genie: Achieving Human Parity in Content-Grounded Datasets Generation—0
Towards Consistent Natural-Language Explanations via Explanation-Consistency FinetuningCode0
Question answering systems for health professionals at the point of care -- a systematic review—0
IICONGRAPH: improved Iconographic and Iconological Statements in Knowledge Graphs—0
CFMatch: Aligning Automated Answer Equivalence Evaluation with Expert Judgments For Open-Domain Question Answering—0
SEER: Facilitating Structured Reasoning and Explanation via Reinforcement LearningCode1
It's About Time: Incorporating Temporality in Retrieval Augmented Language Models—0
SpeechDPR: End-to-End Spoken Passage Retrieval for Open-Domain Spoken Question Answering—0
InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with InstructionsCode2
Fine-Grained Stateful Knowledge Exploration: A Novel Paradigm for Integrating Knowledge Graphs with Large Language ModelsCode0
Can AI Assistants Know What They Don't Know?Code2
Graph Guided Question Answer Generation for Procedural Question-Answering—0
Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes—0
TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Data—0
TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic TasksCode1
Free Form Medical Visual Question Answering in Radiology—0
LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-ExplanationsCode1
Context Matters: Pushing the Boundaries of Open-Ended Answer Generation with Graph-Structured Knowledge Context—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