Open-Ended Question Answering

Open-ended questions are defined as those that simply pose the question, without imposing any constraints on the format of the response. This distinguishes them from questions with a predetermined answer format.

Papers

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Showing 101–125 of 796 papers

Title	Date	Tasks	Status	Hype	Score
Hybrid Task Cascade for Instance Segmentation	Jan 22, 2019	Instance Segmentationobject-detection	CodeCode Available	1	5
Linearly Mapping from Image to Text Space	Sep 30, 2022	Image CaptioningImage to text	CodeCode Available	1	5
Parameter Differentiation based Multilingual Neural Machine Translation	Dec 27, 2021	Machine TranslationOpen-Ended Question Answering	CodeCode Available	1	5
Unifying and generalizing models of neural dynamics during decision-making	Jan 13, 2020	Decision MakingOpen-Ended Question Answering	CodeCode Available	1	5
Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment	May 9, 2023	DenoisingOpen-Ended Question Answering	CodeCode Available	1	5
Improving Passage Retrieval with Zero-Shot Question Generation	Apr 15, 2022	Language ModelingLanguage Modelling	CodeCode Available	1	5
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates	Jun 25, 2020	Open-Ended Question AnsweringSurvival Analysis	CodeCode Available	0	5
Learning to Rank Rationales for Explainable Recommendation	Jun 10, 2022	Explainable RecommendationLearning-To-Rank	CodeCode Available	0	5
Learning Representations for Time Series Clustering	Dec 1, 2019	Anomaly DetectionClustering	CodeCode Available	0	5
Learned Sorted Table Search and Static Indexes in Small Model Space	Jul 19, 2021	BenchmarkingOpen-Ended Question Answering	CodeCode Available	0	5
Learning Theory for Distribution Regression	Nov 8, 2014	Density EstimationLearning Theory	CodeCode Available	0	5
Langevin DQN	Feb 17, 2020	Computational EfficiencyOpen-Ended Question Answering	CodeCode Available	0	5
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models	May 23, 2023	Known UnknownsOpen-Ended Question Answering	CodeCode Available	0	5
KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding	Oct 8, 2022	document understandingKnowledge Graphs	CodeCode Available	0	5
A Monte Carlo AIXI Approximation	Sep 4, 2009	General Reinforcement LearningOpen-Ended Question Answering	CodeCode Available	0	5
Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks	Apr 8, 2023	FairnessOpen-Ended Question Answering	CodeCode Available	0	5
Benchmarking Model-Based Reinforcement Learning	Jul 3, 2019	Benchmarkingmodel	CodeCode Available	0	5
Action Recognition based on Cross-Situational Action-object Statistics	Aug 15, 2022	Action RecognitionObject	CodeCode Available	0	5
AutoRL Hyperparameter Landscapes	Apr 5, 2023	AutoMLHyperparameter Optimization	CodeCode Available	0	5
Incorporating Centering Theory into Neural Coreference Resolution	Jul 1, 2022	coreference-resolutionCoreference Resolution	CodeCode Available	0	5
Is Deeper Better only when Shallow is Good?	Mar 8, 2019	Learning TheoryOpen-Ended Question Answering	CodeCode Available	0	5
2D-Shapley: A Framework for Fragmented Data Valuation	Jun 18, 2023	counterfactualData Valuation	CodeCode Available	0	5
Importance of Search and Evaluation Strategies in Neural Dialogue Modeling	Nov 2, 2018	Dialogue GenerationDiversity	CodeCode Available	0	5
How intelligence can change the course of evolution	Oct 1, 2017	Open-Ended Question Answering	CodeCode Available	0	5
A Unified Theory of Diversity in Ensemble Learning	Jan 10, 2023	DiversityEnsemble Learning	CodeCode Available	0	5

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