Sandbox

Welcome to the Sandbox! This page serves as a repository for various LaTeX to HTML conversion results. Below, you will find links to the conversion results submitted by anonymous users. Each link below corresponds to a specific LaTeX document that has been transformed into HTML format. Feel free to browse through these examples to see how different LaTeX documents have been transformed into HTML. These conversions showcase the versatility and capability of our conversion tool in handling diverse LaTeX inputs.

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Conversion Results

• Wireless Multi-Agent Generative AI: From Connected Intelligence to Collective Intelligence
• Quantum-Classical Computational Molecular Design of Deuterated High-Efficiency OLED Emitters
• Enhancing Visual Realism: Fine-Tuning InstructPix2Pix for Advanced Image Colorization
• Ll​o​cpL^{p}_{loc} positivity preservation and Liouville-type theorems
• Attentive Tree-structured Network for Monotonicity Reasoning
• Delay-aware Robust Control for Safe Autonomous Driving
• Context-Aware Chart Element Detection
• Stochastic diagonal estimation: probabilistic bounds and an improved algorithm
• Learning Predictive Visuomotor Coordination
• Quantifier elimination in II1 factors
• Constant angle null hypersurfaces
• Hodge Representations of Calabi-Yau 3-fold Type
• Sequential Manipulation Planning for Over-actuated Unmanned Aerial Manipulators
• Efficacy of machine-generated annotations
• Combating Missed Recalls in E-commerce Search: A CoT-Prompting Testing Approach
• Investigating the effect of in-plane spin directions for Precessing BBH systems.
• Purity of monoids and characteristic-free splittings in semigroup rings
• Bankruptcy Shocks and Legal Labor Markets
• Understanding glass-like Vogel-Fulcher-Tammann equilibration times: microcanonical effective temperatures in quenched 3D martensites
• When and Why is Persuasion Hard? A Computational Complexity Result
• A discrete uniformization theorem for decorated piecewise Euclidean metrics on surfaces
• Deep ReLU Networks Preserve Expected Length
• Topological superfluid phases of attractive Fermi-Hubbard model in narrow-band cold-atom optical lattices
• Towards Multi-Turn Empathetic Dialogs with Positive Emotion Elicitation
• Effective Distant Supervision for Temporal Relation Extraction
• Plasma characterization and confirmation of helicon mode of IShTAR plasma source
• XCB: an effective contextual biasing approach to bias cross-lingual phrases in speech recognition
• Experimental Evaluation of Baselines for Forecasting Social Media Timeseries
• Ultralight scalar dark matter detection with ZAIGA
• Lifelong Person Search
• Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification
• A Good Score Does not Lead to A Good Generative Model
• Sample Title: with Forced Linebreak
• Efficient Iterative Decoupling Methods for Thermo-Poroelasticity Based on a Four-Field Formulation
• Equations for a K3 Lehmer map
• AC4: Algebraic Computation Checker for Circuit Constraints in Zero-Knowledge Proofs
• The Universe from a Single Particle III
• GuCNet: A Guided Clustering-based Network for Improved Classification
• Boundary controllability of the Korteweg-de Vries equation: The Neumann case
• Permanental inequalities for totally positive matrices
• A Principled Approach to Data Valuation for Federated Learning
• User Study: Comparison of Picture Passwords and Current Login Approaches
• A Knapsack Intersection Hierarchy Applied to All-or-Nothing Flow in Trees
• Analytical prediction of electrowetting-induced jumping motion for droplets on textured hydrophobic substrates: effects of the wetting states
• Unsupervised Learning Approach to Anomaly Detection in Gravitational Wave Data
• Exploring Driving-aware Salient Object Detection via Knowledge Transfer
• Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions111A preliminary version of this paper has been accepted to WWW 2022.
• Solving Deep Reinforcement Learning Benchmarks with Linear Policy Networks
• Disease Classification and Impact of Pretrained Deep Convolution Neural Networks on Diverse Medical Imaging Datasets across Imaging Modalities
• Empirical test for relativistic kinetic theories based on the Sunyaev-Zel’dovich effect