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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 401–425 of 796 papers

TitleStatusHype
Prediction of Non-Linguistic Information of Spontaneous Speech from the Prosodic Annotation: Evaluation of the X-JToBI system—0
Pretrained Diffusion Models for Unified Human Motion Synthesis—0
Preventing Verbatim Memorization in Language Models Gives a False Sense of Privacy—0
Private Learning Implies Online Learning: An Efficient Reduction—0
Private PAC learning implies finite Littlestone dimension—0
Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons—0
Profile Prediction: An Alignment-Based Pre-Training Task for Protein Sequence Models—0
Prompting Language Models for Linguistic Structure—0
Prompting Large Language Models with Speech Recognition Abilities—0
Proposing Plausible Answers for Open-ended Visual Question Answering—0
Quantification of Nematic Cell Polarity in Three-dimensional Tissues—0
Quantifying Complexity: An Object-Relations Approach to Complex Systems—0
Benchmarking Bayesian neural networks and evaluation metrics for regression tasks—0
Quantity beats quality for semantic segmentation of corrosion in images—0
Quantum versus Classical Generative Modelling in Finance—0
Quasi-Newton Steps for Efficient Online Exp-Concave Optimization—0
Questioning the AI: Informing Design Practices for Explainable AI User Experiences—0
Radical pairs may play a role in microtubule reorganization—0
RAF-AU Database: In-the-Wild Facial Expressions with Subjective Emotion Judgement and Objective AU Annotations—0
RangeAugment: Efficient Online Augmentation with Range Learning—0
Recognizing and Eliciting Weakly Single Crossing Profiles on Trees—0
Recursive Neural Networks Can Learn Logical Semantics—0
Reduced Label Complexity For Tight _2 Regression—0
Reference-Guided Verdict: LLMs-as-Judges in Automatic Evaluation of Free-Form Text—0
Reflections on 30 Years of Language Resource Development and Sharing—0
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