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 701–725 of 796 papers

Title	Date	Tasks	Status
An Open-Source Framework for Adaptive Traffic Signal Control	Sep 1, 2019	Open-Ended Question AnsweringReinforcement Learning	CodeCode Available
Learning Representations for Time Series Clustering	Dec 1, 2019	Anomaly DetectionClustering	CodeCode Available
On the Dimensionality of Word Embedding	Dec 11, 2018	Open-Ended Question AnsweringWord Embeddings	CodeCode Available
Learning Theory for Distribution Regression	Nov 8, 2014	Density EstimationLearning Theory	CodeCode Available
Incorporating Centering Theory into Neural Coreference Resolution	Jul 1, 2022	coreference-resolutionCoreference Resolution	CodeCode Available
Importance of Search and Evaluation Strategies in Neural Dialogue Modeling	Nov 2, 2018	Dialogue GenerationDiversity	CodeCode Available
A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks	Jan 26, 2023	Open-Ended Question Answering	CodeCode Available
Implicit Regularization in Deep Learning May Not Be Explainable by Norms	May 13, 2020	Deep LearningMatrix Completion	CodeCode Available
An Event-Driven Approach for Studying Gene Block Evolution in Bacteria	Feb 24, 2015	Open-Ended Question Answering	CodeCode Available
Learning to Rank Rationales for Explainable Recommendation	Jun 10, 2022	Explainable RecommendationLearning-To-Rank	CodeCode Available
How intelligence can change the course of evolution	Oct 1, 2017	Open-Ended Question Answering	CodeCode Available
Ranking Generated Answers: On the Agreement of Retrieval Models with Humans on Consumer Health Questions	Aug 19, 2024	Open-Ended Question AnsweringQuestion Answering	CodeCode Available
On the Impossibility of Global Convergence in Multi-Loss Optimization	May 26, 2020	Open-Ended Question Answering	CodeCode Available
gradSLAM: Automagically differentiable SLAM	Oct 23, 2019	Open-Ended Question AnsweringRepresentation Learning	CodeCode Available
Rethinking the Role of Gradient-Based Attribution Methods for Model Interpretability	Jun 16, 2020	Open-Ended Question Answering	CodeCode Available
AutoRL Hyperparameter Landscapes	Apr 5, 2023	AutoMLHyperparameter Optimization	CodeCode Available
Geolocating Political Events in Text	May 29, 2019	Event ExtractionOpen-Ended Question Answering	CodeCode Available
Full-Capacity Unitary Recurrent Neural Networks	Oct 31, 2016	Open-Ended Question AnsweringSequential Image Classification	CodeCode Available
REAL-M: Towards Speech Separation on Real Mixtures	Oct 20, 2021	Open-Ended Question AnsweringSpeech Separation	CodeCode Available
When Less is More: On the Value of "Co-training" for Semi-Supervised Software Defect Predictors	Nov 10, 2022	Open-Ended Question Answering	CodeCode Available
Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image Compositing	Oct 17, 2020	Autonomous DrivingBayesian Optimization	CodeCode Available
Data-Efficient Training of CNNs and Transformers with Coresets: A Stability Perspective	Mar 3, 2023	BenchmarkingImage Classification	CodeCode Available
Extrinsic Evaluation of Cultural Competence in Large Language Models	Jun 17, 2024	Open-Ended Question AnsweringQuestion Answering	CodeCode Available
Dynamics of specialization in neural modules under resource constraints	Jun 4, 2021	BIG-bench Machine LearningOpen-Ended Question Answering	CodeCode Available
A Monte Carlo AIXI Approximation	Sep 4, 2009	General Reinforcement LearningOpen-Ended Question Answering	CodeCode Available

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