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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 151–200 of 796 papers

TitleStatusHype
A Quantitative Review on Language Model Efficiency Research—0
SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise—0
Aligning Language Models to User Opinions—0
SAIL: Search-Augmented Instruction Learning—0
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLPCode0
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language ModelsCode0
Routing by spontaneous synchronization—0
Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs—0
Uniform-PAC Guarantees for Model-Based RL with Bounded Eluder Dimension—0
Spiking Network Initialisation and Firing Rate Collapse—0
Reduced Label Complexity For Tight _2 Regression—0
A Generic Approach to Integrating Time into Spatial-Temporal Forecasting via Conditional Neural Fields—0
The Role of Relevance in Fair RankingCode0
Idioms, Probing and Dangerous Things: Towards Structural Probing for Idiomaticity in Vector Space—0
Development of a Trust-Aware User Simulator for Statistical Proactive Dialog Modeling in Human-AI Teams—0
Evolving Three Dimension (3D) Abstract Art: Fitting Concepts by Language—0
How the Move Acceptance Hyper-Heuristic Copes With Local Optima: Drastic Differences Between Jumps and Cliffs—0
Image retrieval outperforms diffusion models on data augmentation—0
Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets—0
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive StudyCode0
Last-Layer Fairness Fine-tuning is Simple and Effective for Neural NetworksCode0
Lipschitz Continuity of Signal Temporal Logic Robustness Measures: Synthesizing Control Barrier Functions from One Expert Demonstration—0
Krylov Methods are (nearly) Optimal for Low-Rank Approximation—0
AutoRL Hyperparameter LandscapesCode0
Feature representations useful for predicting image memorability—0
Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning—0
Data-Efficient Training of CNNs and Transformers with Coresets: A Stability PerspectiveCode0
Graph Reinforcement Learning for Operator Selection in the ALNS Metaheuristic—0
Optimal Prediction Using Expert Advice and Randomized Littlestone Dimension—0
Cross-modal Face- and Voice-style Transfer—0
Multi-Message Shuffled Privacy in Federated Learning—0
Selectively Providing Reliance Calibration Cues With Reliance Prediction—0
Minimizing Dynamic Regret on Geodesic Metric Spaces—0
Deterministic Nonsmooth Nonconvex Optimization—0
Paparazzi: A Deep Dive into the Capabilities of Language and Vision Models for Grounding Viewpoint Descriptions—0
Convergence of the Euler--Maruyama particle scheme for a regularised McKean--Vlasov equation arising from the calibration of local-stochastic volatility models—0
Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions—0
A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural NetworksCode0
Predicting attractors from spectral properties of stylized gene regulatory networks—0
Doubly Adversarial Federated Bandits—0
Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality—0
Asymptotic normality and optimality in nonsmooth stochastic approximation—0
Exit options sustain altruistic punishment and decrease the second-order free-riders, but it is not a panacea—0
Predictive World Models from Real-World Partial ObservationsCode0
Toward Building General Foundation Models for Language, Vision, and Vision-Language Understanding TasksCode0
Rethinking complex-valued deep neural networks for monaural speech enhancement—0
A Unified Theory of Diversity in Ensemble LearningCode0
Investigations on convergence behaviour of Physics Informed Neural Networks across spectral ranges and derivative orders—0
A Labelled Sample Compression Scheme of Size at Most Quadratic in the VC Dimension—0
RangeAugment: Efficient Online Augmentation with Range LearningCode0
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