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 7851–7900 of 10817 papers

TitleStatusHype
Cultural Palette: Pluralising Culture Alignment via Multi-agent Palette—0
Question-Answering with Grammatically-Interpretable Representations—0
Question Answering with Knowledge Base, Web and Beyond—0
Question-Answering with Logic Specific to Video Games—0
Automated Discovery of Mathematical Definitions in Text with Deep Neural Networks—0
iPerceive: Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering—0
Automated Discovery of Mathematical Definitions in Text—0
Question-Answer Selection in User to User Marketplace Conversations—0
An automatically discovered chain-of-thought prompt generalizes to novel models and datasets—0
A Cognitive Evaluation Benchmark of Image Reasoning and Description for Large Vision-Language Models—0
Invited Talk: IBM Cognitive Computing - An NLP Renaissance!—0
INVITED TALK 2: Towards Universal Syntactic Processing of Natural Language—0
Investigating the use of Paraphrase Generation for Question Reformulation in the FRANK QA system—0
Question-aware Transformer Models for Consumer Health Question Summarization—0
Incorporating Question Answering-Based Signals into Abstractive Summarization via Salient Span Selection—0
Question Calibration and Multi-Hop Modeling for Temporal Question Answering—0
CUB: Benchmarking Context Utilisation Techniques for Language Models—0
Question Classification Transfer—0
Automated CVE Analysis: Harnessing Machine Learning In Designing Question-Answering Models For Cybersecurity Information Extraction—0
Question-Conditioned Counterfactual Image Generation for VQA—0
Investigating the Generative Approach for Question Answering in E-Commerce—0
CTRL-O: Language-Controllable Object-Centric Visual Representation Learning—0
Investigating the Challenges of Temporal Relation Extraction from Clinical Text—0
CTPs: Contextual Temporal Profiles for Time Scoping Facts using State Change Detection—0
An Automated Question-Answering Framework Based on Evolution Algorithm—0
Investigating Mysteries of CoT-Augmented Distillation—0
Investigating Information Inconsistency in Multilingual Open-Domain Question Answering—0
Question-Driven Graph Fusion Network For Visual Question Answering—0
CT-Agent: A Multimodal-LLM Agent for 3D CT Radiology Question Answering—0
Automated Construction of Theme-specific Knowledge Graphs—0
Investigating Energy Efficiency and Performance Trade-offs in LLM Inference Across Tasks and DVFS Settings—0
Investigating Data Contamination in Modern Benchmarks for Large Language Models—0
CT2C-QA: Multimodal Question Answering over Chinese Text, Table and Chart—0
Question Generation for Question Answering—0
Investigating Biases in Textual Entailment Datasets—0
Question-Guided Hybrid Convolution for Visual Question Answering—0
Investigating Answerability of LLMs for Long-Form Question Answering—0
CS-VQA: Visual Question Answering with Compressively Sensed Images—0
Automated assessment of knowledge hierarchy evolution: comparing directed acyclic graphs—0
An Augmented Benchmark Dataset for Geometric Question Answering through Dual Parallel Text Encoding—0
Adopting the Word-Pair-Dependency-Triplets with Individual Comparison for Natural Language Inference—0
Question Modifiers in Visual Question Answering—0
Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation—0
Question Relevance in Visual Question Answering—0
Inverse Visual Question Answering with Multi-Level Attentions—0
Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool—0
Invar-RAG: Invariant LLM-aligned Retrieval for Better Generation—0
Automated Answer Validation using Text Similarity—0
CSS: Combining Self-training and Self-supervised Learning for Few-shot Dialogue State Tracking—0
Introduction to Neural Network based Approaches for Question Answering over Knowledge Graphs—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