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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 601–650 of 796 papers

TitleStatusHype
Optimal Signal-Adaptive Trading with Temporary and Transient Price Impact—0
Optimizing Multi-Taper Features for Deep Speaker Verification—0
Overcoming a Theoretical Limitation of Self-Attention—0
P4P: Conflict-Aware Motion Prediction for Planning in Autonomous Driving—0
PAC-learning in the presence of adversaries—0
PAC-learning in the presence of evasion adversaries—0
Paparazzi: A Deep Dive into the Capabilities of Language and Vision Models for Grounding Viewpoint Descriptions—0
Parameterized Intractability for Multi-Winner Election under the Chamberlin-Courant Rule and the Monroe Rule—0
Paraphrase-Driven Learning for Open Question Answering—0
Paraphrase for Open Question Answering: New Dataset and Methods—0
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions—0
Pareto-Optimal Fairness-Utility Amortizations in Rankings with a DBN Exposure Model—0
Partially Fake Audio Detection by Self-attention-based Fake Span Discovery—0
Particle Swarm Optimization: Development of a General-Purpose Optimizer—0
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models—0
Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering—0
Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning—0
POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning—0
POP: Prompt Of Prompts for Continual Learning—0
Post-Regularization Confidence Bands for Ordinary Differential Equations—0
Predicting attractors from spectral properties of stylized gene regulatory networks—0
Predicting non-linear dynamics by stable local learning in a recurrent spiking neural network—0
Predicting Prostate Cancer-Specific Mortality with A.I.-based Gleason Grading—0
Predicting Zip Code-Level Vaccine Hesitancy in US Metropolitan Areas Using Machine Learning Models on Public Tweets—0
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
Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization—0
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