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 3901–3950 of 10817 papers

TitleStatusHype
Finely Tuned, 2 Billion Token Based Word Embeddings for Portuguese—0
FINET: Context-Aware Fine-Grained Named Entity Typing—0
Graph Based Semi-Supervised Learning Approach for Tamil POS tagging—0
Domain Mismatch Doesn't Always Prevent Cross-Lingual Transfer Learning—0
DomainInv: Domain Invariant Fine Tuning and Adversarial Label Correction For QA Domain Adaptation—0
Fine-tuning and aligning question answering models for complex information extraction tasks—0
Classifier Combination Approach for Question Classification for Bengali Question Answering System—0
Finetuning Language Models to Emit Linguistic Expressions of Uncertainty—0
Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes—0
Fine-Tuning Large Language Models for Answering Programming Questions with Code Snippets—0
Beyond Captioning: Task-Specific Prompting for Improved VLM Performance in Mathematical Reasoning—0
Fine-tuning Large Language Models with Sequential Instructions—0
Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths—0
Fine-Tuning LLMs for Reliable Medical Question-Answering Services—0
Fine-tuning Multi-hop Question Answering with Hierarchical Graph Network—0
Improving Pre-trained Language Model Fine-tuning with Noise Stability Regularization—0
Fine-tuning Pre-trained Named Entity Recognition Models For Indian Languages—0
Correlation Information Bottleneck: Towards Adapting Pretrained Multimodal Models for Robust Visual Question Answering—0
Fine-tuning Smaller Language Models for Question Answering over Financial Documents—0
Fine-tuning Strategies for Domain Specific Question Answering under Low Annotation Budget Constraints—0
Fine-tuning Strategies for Domain Specific Question Answering under Low Annotation Budget Constraints—0
Fine-tuning Transformer-based Encoder for Turkish Language Understanding Tasks—0
Fine-tuning vs From Scratch: Do Vision & Language Models Have Similar Capabilities on Out-of-Distribution Visual Question Answering?—0
CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering—0
FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models—0
FinMath: Injecting a Tree-structured Solver for Question Answering over Financial Reports—0
DomainCQA: Crafting Expert-Level QA from Domain-Specific Charts—0
Finnish SQuAD: A Simple Approach to Machine Translation of Span Annotations—0
Annotating Electronic Medical Records for Question Answering—0
FinQAPT: Empowering Financial Decisions with End-to-End LLM-driven Question Answering Pipeline—0
A Comprehensive Survey on Visual Question Answering Datasets and Algorithms—0
FinSage: A Multi-aspect RAG System for Financial Filings Question Answering—0
Graph based Question Answering System—0
FireAct: Toward Language Agent Fine-tuning—0
Domain Adaptation with Active Learning for Coreference Resolution—0
Domain Adaptation of VLM for Soccer Video Understanding—0
First steps towards a Predicate Matrix—0
First Token Probability Guided RAG for Telecom Question Answering—0
FIT-RAG: Black-Box RAG with Factual Information and Token Reduction—0
Beyond Attention: Toward Machines with Intrinsic Higher Mental States—0
Annotating Educational Questions for Student Response Analysis—0
FLAASH: Flow-Attention Adaptive Semantic Hierarchical Fusion for Multi-Modal Tobacco Content Analysis—0
Dolphin: A Challenging and Diverse Benchmark for Arabic NLG—0
A Flexible, Efficient and Accurate Framework for Community Question Answering Pipelines—0
3D Question Answering for City Scene Understanding—0
Graph-Based Retriever Captures the Long Tail of Biomedical Knowledge—0
Graph Based Similarity Measures for Synonym Extraction from Parsed Text—0
Graph Elicitation for Guiding Multi-Step Reasoning in Large Language Models—0
Do LLMs Work on Charts? Designing Few-Shot Prompts for Chart Question Answering and Summarization—0
Graph Attention with Hierarchies for Multi-hop Question Answering—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