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 1951–1975 of 10817 papers

TitleStatusHype
CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and AugmentationCode1
Blocks as Probes: Dissecting Categorization Ability of Large Multimodal Models—0
What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best PracticesCode1
Towards Investigating Biases in Spoken Conversational Search—0
Kvasir-VQA: A Text-Image Pair GI Tract DatasetCode0
Pairing Analogy-Augmented Generation with Procedural Memory for Procedural Q&ACode0
Language Models Benefit from Preparation with Elicited Knowledge—0
Harnessing the Power of Semi-Structured Knowledge and LLMs with Triplet-Based Prefiltering for Question AnsweringCode0
YA-TA: Towards Personalized Question-Answering Teaching Assistants using Instructor-Student Dual Retrieval-augmented Knowledge Fusion—0
WikiCausal: Corpus and Evaluation Framework for Causal Knowledge Graph ConstructionCode0
"Is This It?": Towards Ecologically Valid Benchmarks for Situated Collaboration—0
MAPWise: Evaluating Vision-Language Models for Advanced Map Queries—0
Look, Learn and Leverage (L^3): Mitigating Visual-Domain Shift and Discovering Intrinsic Relations via Symbolic Alignment—0
InkubaLM: A small language model for low-resource African languages—0
Evaluation of Table Representations to Answer Questions from Tables in Documents : A Case Study using 3GPP Specifications—0
Retrieval-Augmented Natural Language Reasoning for Explainable Visual Question Answering—0
HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications—0
A Survey for Large Language Models in Biomedicine—0
Event Extraction for Portuguese: A QA-driven Approach using ACE-2005—0
GradBias: Unveiling Word Influence on Bias in Text-to-Image Generative ModelsCode0
M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretation—0
Space3D-Bench: Spatial 3D Question Answering Benchmark—0
LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments—0
Boosting Lossless Speculative Decoding via Feature Sampling and Partial Alignment Distillation—0
Can Visual Language Models Replace OCR-Based Visual Question Answering Pipelines in Production? A Case Study in Retail—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