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 1951–2000 of 10817 papers

TitleStatusHype
CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and AugmentationCode1
What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best PracticesCode1
Blocks as Probes: Dissecting Categorization Ability of Large Multimodal Models—0
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
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
InkubaLM: A small language model for low-resource African languages—0
Look, Learn and Leverage (L^3): Mitigating Visual-Domain Shift and Discovering Intrinsic Relations via Symbolic Alignment—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
Space3D-Bench: Spatial 3D Question Answering Benchmark—0
M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretation—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
Can SAR improve RSVQA performance?—0
Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis—0
Zero-Shot Visual Reasoning by Vision-Language Models: Benchmarking and Analysis—0
Evidence-Enhanced Triplet Generation Framework for Hallucination Alleviation in Generative Question Answering—0
A Statistical Framework for Data-dependent Retrieval-Augmented Models—0
Towards Graph Prompt Learning: A Survey and Beyond—0
MMR: Evaluating Reading Ability of Large Multimodal Models—0
Question answering system of bridge design specification based on large language modelCode0
Grounded Multi-Hop VideoQA in Long-Form Egocentric VideosCode1
CoT Rerailer: Enhancing the Reliability of Large Language Models in Complex Reasoning Tasks through Error Detection and Correction—0
Towards Reliable Medical Question Answering: Techniques and Challenges in Mitigating Hallucinations in Language Models—0
Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data—0
Knowledge-Aware Reasoning over Multimodal Semi-structured Tables—0
Evaluating Attribute Comprehension in Large Vision-Language ModelsCode0
DHP Benchmark: Are LLMs Good NLG Evaluators?—0
Towards Human-Level Understanding of Complex Process Engineering Schematics: A Pedagogical, Introspective Multi-Agent Framework for Open-Domain Question Answering—0
Integrating Multi-Head Convolutional Encoders with Cross-Attention for Improved SPARQL Query Translation—0
IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering—0
Utilizing Large Language Models for Named Entity Recognition in Traditional Chinese Medicine against COVID-19 Literature: Comparative Study—0
Internal and External Knowledge Interactive Refinement Framework for Knowledge-Intensive Question Answering—0
Foundational Model for Electron Micrograph Analysis: Instruction-Tuning Small-Scale Language-and-Vision Assistant for Enterprise Adoption—0
Examining the Commitments and Difficulties Inherent in Multimodal Foundation Models for Street View Imagery—0
Vintern-1B: An Efficient Multimodal Large Language Model for Vietnamese—0
LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction—0
Show-o: One Single Transformer to Unify Multimodal Understanding and GenerationCode5
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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