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 2676–2700 of 10817 papers

TitleStatusHype
PathVLM-R1: A Reinforcement Learning-Driven Reasoning Model for Pathology Visual-Language Tasks—0
NoTeS-Bank: Benchmarking Neural Transcription and Search for Scientific Notes Understanding—0
RAG-VR: Leveraging Retrieval-Augmented Generation for 3D Question Answering in VR EnvironmentsCode0
Towards Efficient and Robust Moment Retrieval System: A Unified Framework for Multi-Granularity Models and Temporal Reranking—0
Knowledge Graph-extended Retrieval Augmented Generation for Question Answering—0
MedHal: An Evaluation Dataset for Medical Hallucination Detection—0
Out of Style: RAG's Fragility to Linguistic VariationCode0
VLMT: Vision-Language Multimodal Transformer for Multimodal Multi-hop Question Answering—0
AstroLLaVA: towards the unification of astronomical data and natural language—0
TokenFocus-VQA: Enhancing Text-to-Image Alignment with Position-Aware Focus and Multi-Perspective Aggregations on LVLMs—0
Beyond the Frame: Generating 360° Panoramic Videos from Perspective Videos—0
PR-Attack: Coordinated Prompt-RAG Attacks on Retrieval-Augmented Generation in Large Language Models via Bilevel Optimization—0
Enhanced Question-Answering for Skill-based learning using Knowledge-based AI and Generative AI—0
Plan-and-Refine: Diverse and Comprehensive Retrieval-Augmented GenerationCode0
How Can Objects Help Video-Language Understanding?—0
Data Metabolism: An Efficient Data Design Schema For Vision Language Model—0
On the Temporal Question-Answering Capabilities of Large Language Models Over Anonymized Data—0
Do LLMs Understand Your Translations? Evaluating Paragraph-level MT with Question AnsweringCode0
TALE: A Tool-Augmented Framework for Reference-Free Evaluation of Large Language Models—0
Resource-efficient Inference with Foundation Model ProgramsCode0
MDIT: A Model-free Data Interpolation Method for Diverse Instruction Tuning—0
Towards an AI-Driven Video-Based American Sign Language Dictionary: Exploring Design and Usage Experience with LearnersCode0
Simplifying Data Integration: SLM-Driven Systems for Unified Semantic Queries Across Heterogeneous Databases—0
Learning to Reason Over Time: Timeline Self-Reflection for Improved Temporal Reasoning in Language Models—0
Towards Visual Text Grounding of Multimodal Large Language Model—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