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 7651–7700 of 10817 papers

TitleStatusHype
Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning—0
Feature-Rich Twitter Named Entity Recognition and Classification—0
ASTRID -- An Automated and Scalable TRIaD for the Evaluation of RAG-based Clinical Question Answering Systems—0
Prune Once for All: Sparse Pre-Trained Language Models—0
Question Analysis for Polish Question Answering—0
Structured Pruning of a BERT-based Question Answering Model—0
Pseudo Ambiguous and Clarifying Questions Based on Sentence Structures Toward Clarifying Question Answering System—0
PSLM: Parallel Generation of Text and Speech with LLMs for Low-Latency Spoken Dialogue Systems—0
Graph Neural Network Enhanced Retrieval for Question Answering of LLMs—0
Psycholinguistics meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering—0
Psy-LLM: Scaling up Global Mental Health Psychological Services with AI-based Large Language Models—0
Federated Retrieval Augmented Generation for Multi-Product Question Answering—0
A Strategic Reasoning Model for Generating Alternative Answers—0
A Method of Query Graph Reranking for Knowledge Base Question Answering—0
PUMGPT: A Large Vision-Language Model for Product Understanding—0
Punctuation Prediction with Transition-based Parsing—0
Question Analysis for Arabic Question Answering Systems—0
Pushing the boundary on Natural Language Inference—0
Pushing the Limits of AMR Parsing with Self-Learning—0
Pushing the Limits of ChatGPT on NLP Tasks—0
Question and Answer pair generation for Telugu short stories—0
Pushing the Limits of Radiology with Joint Modeling of Visual and Textual Information—0
Argument-Based Comparative Question Answering Evaluation Benchmark—0
Graph Elicitation for Guiding Multi-Step Reasoning in Large Language Models—0
Graph Guided Question Answer Generation for Procedural Question-Answering—0
PuzzleBench: Can LLMs Solve Challenging First-Order Combinatorial Reasoning Problems?—0
Compositional pre-training for neural semantic parsing—0
PVChat: Personalized Video Chat with One-Shot Learning—0
Compositional Memory for Visual Question Answering—0
AsthmaBot: Multi-modal, Multi-Lingual Retrieval Augmented Generation For Asthma Patient Support—0
A Dataset for Research on Short-Text Conversations—0
GraphEQA: Using 3D Semantic Scene Graphs for Real-time Embodied Question Answering—0
q2d: Turning Questions into Dialogs to Teach Models How to Search—0
Graph Collaborative Reasoning—0
Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text—0
Q^2Forge: Minting Competency Questions and SPARQL Queries for Question-Answering Over Knowledge Graphs—0
GraphSOS: Graph Sampling and Order Selection to Help LLMs Understand Graphs Better—0
Graph-Based Tri-Attention Network for Answer Ranking in CQA—0
A Step Towards Mixture of Grader: Statistical Analysis of Existing Automatic Evaluation Metrics—0
QA4PRF: A Question Answering based Framework for Pseudo Relevance Feedback—0
A Method of Passage-Based Document Retrieval in Question Answering System—0
Question-Agnostic Attention for Visual Question Answering—0
Graph Based Similarity Measures for Synonym Extraction from Parsed Text—0
Graph Based Semi-Supervised Learning Approach for Tamil POS tagging—0
A Method for Multi-Hop Question Answering on Persian Knowledge Graph—0
QAConv: Question Answering on Informative Conversations—0
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension—0
QADiver: Interactive Framework for Diagnosing QA Models—0
QA Domain Adaptation using Data Augmentation and Contrastive Adaptation—0
Graph-Based Retriever Captures the Long Tail of Biomedical Knowledge—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