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 1876–1900 of 10817 papers

TitleStatusHype
Improving LLM Reasoning with Multi-Agent Tree-of-Thought Validator AgentCode1
Mamba Fusion: Learning Actions Through QuestioningCode0
ProSLM : A Prolog Synergized Language Model for explainable Domain Specific Knowledge Based Question Answering—0
Contextual Breach: Assessing the Robustness of Transformer-based QA Models—0
Sparks of Artificial General Intelligence(AGI) in Semiconductor Material Science: Early Explorations into the Next Frontier of Generative AI-Assisted Electron Micrograph Analysis—0
CAST: Cross-modal Alignment Similarity Test for Vision Language ModelsCode0
OneEncoder: A Lightweight Framework for Progressive Alignment of Modalities—0
Less is More: A Simple yet Effective Token Reduction Method for Efficient Multi-modal LLMsCode1
HALO: Hallucination Analysis and Learning Optimization to Empower LLMs with Retrieval-Augmented Context for Guided Clinical Decision MakingCode0
StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models—0
Explore the Hallucination on Low-level Perception for MLLMs—0
A Benchmark Dataset with Larger Context for Non-Factoid Question Answering over Islamic Text—0
NEVLP: Noise-Robust Framework for Efficient Vision-Language Pre-training—0
Active Learning to Guide Labeling Efforts for Question Difficulty EstimationCode0
One missing piece in Vision and Language: A Survey on Comics UnderstandingCode2
QTG-VQA: Question-Type-Guided Architectural for VideoQA Systems—0
Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge TypesCode0
KodeXv0.1: A Family of State-of-the-Art Financial Large Language Models—0
Contextual Evaluation of Large Language Models for Classifying Tropical and Infectious Diseases—0
L3Cube-IndicQuest: A Benchmark Question Answering Dataset for Evaluating Knowledge of LLMs in Indic ContextCode1
Electrocardiogram Report Generation and Question Answering via Retrieval-Augmented Self-Supervised Modeling—0
Expediting and Elevating Large Language Model Reasoning via Hidden Chain-of-Thought Decoding—0
Contri(e)ve: Context + Retrieve for Scholarly Question Answering—0
Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG—0
Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources—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