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 5751–5800 of 10817 papers

TitleStatusHype
DocChat: An Information Retrieval Approach for Chatbot Engines Using Unstructured Documents—0
Leveraging Term Banks for Answering Complex Questions: A Case for Sparse Vectors—0
Let Me Know What to Ask: Interrogative-Word-Aware Question Generation—0
Leveraging the Domain Adaptation of Retrieval Augmented Generation Models for Question Answering and Reducing Hallucination—0
DLS@CU: Sentence Similarity from Word Alignment—0
DLS@CU: Sentence Similarity from Word Alignment and Semantic Vector Composition—0
Leveraging Video Descriptions to Learn Video Question Answering—0
Leveraging Visual Question Answering for Image-Caption Ranking—0
Less Is More: Linear Layers on CLIP Features as Powerful VizWiz Model—0
Lexical Disambiguation in Natural Language Questions (NLQs)—0
DLS@CU-CORE: A Simple Machine Learning Model of Semantic Textual Similarity—0
DLS@CU at SemEval-2016 Task 1: Supervised Models of Sentence Similarity—0
BERT for Question Generation—0
An Introductory Survey on Attention Mechanisms in NLP Problems—0
A Factoid Question Answering System Using Answer Pattern Matching—0
DLIP: Distilling Language-Image Pre-training—0
BERTERS: Multimodal Representation Learning for Expert Recommendation System with Transformer—0
LEGO-Puzzles: How Good Are MLLMs at Multi-Step Spatial Reasoning?—0
Lego: Learning to Disentangle and Invert Personalized Concepts Beyond Object Appearance in Text-to-Image Diffusion Models—0
LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval—0
LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding—0
Continuous QA Learning with Structured Prompts—0
DKPro Keyphrases: Flexible and Reusable Keyphrase Extraction Experiments—0
BERT-CoQAC: BERT-based Conversational Question Answering in Context—0
An Introduction to Natural Language Processing Techniques and Framework for Clinical Implementation in Radiation Oncology—0
Lifting the Curse of Multilinguality by Pre-training Modular Transformers—0
Light as Deception: GPT-driven Natural Relighting Against Vision-Language Pre-training Models—0
Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation—0
Legal Question Answering using Ranking SVM and Deep Convolutional Neural Network—0
Lightweight Convolutional Approaches to Reading Comprehension on SQuAD—0
Lightweight In-Context Tuning for Multimodal Unified Models—0
DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text—0
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models—0
Divide & Conquer for Entailment-aware Multi-hop Evidence Retrieval—0
Learn to Unlearn: Meta-Learning-Based Knowledge Graph Embedding Unlearning—0
Learn to Refuse: Making Large Language Models More Controllable and Reliable through Knowledge Scope Limitation and Refusal Mechanism—0
L’importance des entités pour la tâche de détection d’événements en tant que système de question-réponse (Exploring Entities in Event Detection as Question Answering)—0
LIMSIILES: Basic English Substitution for Student Answer Assessment at SemEval 2013—0
Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents—0
Lingke: A Fine-grained Multi-turn Chatbot for Customer Service—0
BERT Based Clinical Knowledge Extraction for Biomedical Knowledge Graph Construction and Analysis—0
A Factoid Question Answering System for Vietnamese—0
A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions—0
LinguaMark: Do Multimodal Models Speak Fairly? A Benchmark-Based Evaluation—0
3D-MoE: A Mixture-of-Experts Multi-modal LLM for 3D Vision and Pose Diffusion via Rectified Flow—0
Linguistically Driven Graph Capsule Network for Visual Question Reasoning—0
Linguistically-Informed Neural Architectures for Lexical, Syntactic and Semantic Tasks in Sanskrit—0
Linguistically Motivated Question Classification—0
Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations—0
Learning Word Embeddings for Low-Resource Languages by PU Learning—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