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 4901–4950 of 10817 papers

TitleStatusHype
Natural Language Processing in Customer Service: A Systematic Review—0
SceneGATE: Scene-Graph based co-Attention networks for TExt visual question answering—0
Enhancing Multi-modal and Multi-hop Question Answering via Structured Knowledge and Unified Retrieval-GenerationCode1
Self-Prompting Large Language Models for Zero-Shot Open-Domain QACode1
Plansformer: Generating Symbolic Plans using Transformers—0
Multi-VALUE: A Framework for Cross-Dialectal English NLP—0
FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference—0
Best-Answer Prediction in Q&A Sites Using User Information—0
Attributed Question Answering: Evaluation and Modeling for Attributed Large Language ModelsCode1
CLAM: Selective Clarification for Ambiguous Questions with Generative Language Models—0
CLIPPO: Image-and-Language Understanding from Pixels Only—0
Build-a-Bot: Teaching Conversational AI Using a Transformer-Based Intent Recognition and Question Answering Architecture—0
APOLLO: An Optimized Training Approach for Long-form Numerical ReasoningCode1
Attentive Deep Neural Networks for Legal Document Retrieval—0
Despite "super-human" performance, current LLMs are unsuited for decisions about ethics and safety—0
BigText-QA: Question Answering over a Large-Scale Hybrid Knowledge Graph—0
Prompting Is Programming: A Query Language for Large Language ModelsCode3
Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging—0
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and MultimodalCode3
Momentum Contrastive Pre-training for Question Answering—0
MORTY: Structured Summarization for Targeted Information Extraction from Scholarly Articles—0
REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge MemoryCode0
The Turing Deception—0
From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Model to Pre-trained Machine ReaderCode0
VideoCoCa: Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners—0
VindLU: A Recipe for Effective Video-and-Language PretrainingCode1
Successive Prompting for Decomposing Complex Questions—0
ParsVQA-Caps: A Benchmark for Visual Question Answering and Image Captioning in Persian—0
Hierarchical multimodal transformers for Multi-Page DocVQACode1
Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning TaskCode0
Discovering Latent Knowledge in Language Models Without SupervisionCode2
Analysis of Drug repurposing Knowledge graphs for Covid-19—0
Dataset vs Reality: Understanding Model Performance from the Perspective of Information Need—0
Intent Recognition in Conversational Recommender Systems—0
Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single TransformerCode1
QBERT: Generalist Model for Processing Questions—0
Utilizing Background Knowledge for Robust Reasoning over Traffic SituationsCode0
Applying Multilingual Models to Question Answering (QA)—0
Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE—0
Query-Driven Knowledge Base Completion using Multimodal Path Fusion over Multimodal Knowledge Graph—0
Visual Question Answering From Another Perspective: CLEVR Mental Rotation TestsCode0
Compound Tokens: Channel Fusion for Vision-Language Representation Learning—0
Fuse and Adapt: Investigating the Use of Pre-Trained Self-Supervising Learning Models in Limited Data NLU problems—0
Nonparametric Masked Language ModelingCode1
Relation-Aware Language-Graph Transformer for Question AnsweringCode1
UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge GraphCode1
A Sequential Flow Control Framework for Multi-hop Knowledge Base Question AnsweringCode1
Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual ReasoningCode1
Learning to Select from Multiple OptionsCode0
NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training FrameworkCode0
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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