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

• One Model To Learn Them All
• The Case for Learned Index Structures
• Unsupervised Neural Machine Translation
• Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation
• Large-Scale Evolution of Image Classifiers
• Unrecognized title 2024-09-30 05:04:05 UTC
• Exploring the Boundaries of Content Moderation in Text-to-Image Generation
• LAAG-RV: LLM Assisted Assertion Generation for RTL Design Verification
• Unrecognized title 2024-09-20 04:35:27 UTC
• Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining111Authors are listed in reverse alphabetical order.
• Unrecognized title 2024-09-18 12:00:55 UTC
• Chain of Thought Empowers Transformers to Solve Inherently Serial Problems
• Discovering Governing equations from Graph-Structured Data by Sparse Identification of Nonlinear Dynamical Systems
• CortexCompile: Harnessing Cortical-Inspired Architectures for Enhanced Multi-Agent NLP Code Synthesis
• Measuring Transparency in Intelligent Robots
• Modeling offensive content detection for TikTok
• Exploiting Formal Concept Analysis for Data Modeling in Data Lakes
• Neural Networks as Spin Models: From Glass to Hidden Order Through Training
• Unrecognized title 2024-08-16 12:47:58 UTC
• YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
• Deep Learning based Key Information Extraction from Business Documents: Systematic Literature Review
• Large Language Models for Mathematicians
• Optimizing NOMA Transmissions to Advance Federated Learning in Vehicular Networks
• Formal Algorithms for Transformers
• Towards two-dimensional search engines
• LoRA: Low-Rank Adaptation of Large Language Models
•  Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models
• Modular RAG: Transforming RAG Systems into LEGO-like Reconfigurable Frameworks
• Proof of a Universal Speed Limit on Fast Scrambling in Quantum Systems
• Evolution of Superconductivity in Twisted Graphene Multilayers
• Unrecognized title 2024-08-01 16:07:40 UTC
• Spectral statistics of a minimal quantum glass model
• Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions
• Unveiling Encoder-Free Vision-Language Models
• Efficient Memory Management for Large Language Model Serving with PagedAttention
• xVal: A Continuous Number Encoding for Large Language Models
• Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!   \note\warningThis paper contains red-teaming data and model-generated content that can be offensive in nature.
• Constitutional AI: Harmlessness from AI Feedback
• Scaling Laws for Neural Language Models
• The Art of Refusal: A Survey of Abstention in Large Language Models
• Phase and contrast moiré signatures in two-dimensional cone beam interferometry
• Generative AI like ChatGPT in Blockchain Federated Learning: use cases, opportunities and future
• The Structure of Financial Equity Research Reports – Identification of the Most Frequently Asked Questions in Financial Analyst Reports to Automate Equity Research Using Llama 3 and GPT-4
• Rome was Not Built in a Single Step: Hierarchical Prompting for LLM-based Chip Design
• Large Language Model for Verilog Generation with Golden Code Feedback
• Pretraining a Neural Operator in Lower Dimensions
• MathViz-E: A Case-study in Domain-Specialized Tool-Using Agents
• Artificial Intelligence Based Navigation in Quasi Structured Environment
• Robust Adaptation of Foundation Models with Black-Box Visual Prompting
• Intrinsic Universality in Seeded Active Tile Self-Assembly
• Unrecognized title 2024-07-26 11:02:31 UTC
• Unrecognized title 2024-07-26 10:59:44 UTC
• Unrecognized title 2024-07-26 09:01:29 UTC
• Self-Correcting Neural Networks For Safe Classification
• Towards Smart Fake News Detection Through Explainable AI
• Collective Attention in Human-AI Teams
• Explainable Natural Language Processing for Corporate Sustainability Analysis
• Unrecognized title 2024-07-26 07:34:41 UTC
• Explainable Natural Language Processing for Corporate Sustainability Analysis
• Gaussian Process Model with Tensorial Inputs and Its Application to the Design of 3D Printed Antennas ††thanks: Citation: Authors. Title. Pages…. DOI:000000/11111.
• GPT-4 is judged more human than humans in displaced and inverted Turing tests
• Deep Learning for Network Anomaly Detection under Data Contamination: Evaluating Robustness and Mitigating Performance Degradation
• Field Deployment of Multi-Agent Reinforcement Learning Based Variable Speed Limit Controllers
• Search, Examine and Early-Termination: Fake News Detection with Annotation-Free Evidences
• CaseGPT: A Case Reasoning Framework Based on Language Models and Retrieval-Augmented Generation ††thanks: Citation: Yang, R. CaseGPT: A Case Reasoning Framework Based on Language Models and Retrieval-Augmented Generation. arXiv preprint arXiv:XXXX.XXXXX, 2024.
• Human-Centered Design Recommendations for LLM-as-a-Judge
• A Robust Server-Effort Policy for Fluid Processing Networks
• ESBMC-Python: A Bounded Model Checker for Python Programs
• A novel direct imaging method for passive inverse obstacle scattering problem
• Chebyshev Spectral Neural Networks for Solving Partial Differential Equations
• Linear model reduction using SPOD modes
• Efficient Visibility Approximation for Game AI using Neural Omnidirectional Distance Fields
• Unrecognized title 2024-07-09 16:27:12 UTC
• Enhancing Regression Models for Complex Systems using Evolutionary Techniques for Feature Engineering
• LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models
• Sparse Regression for Machine Translation
• Changing Answer Order Can Decrease MMLU Accuracy
• ManiWAV: Learning Robot Manipulation from In-the-Wild Audio-Visual Data
• A Sanity Check for AI-generated Image Detection
• Unrecognized title 2024-07-01 20:16:32 UTC
• Deep Convolutional Neural Networks Meet Variational Shape Compactness Priors for Image Segmentation
• Towards Open-World Grasping with Large Vision-Language Models
• Simulating The U.S. Senate: An LLM-Driven Agent Approach to Modeling Legislative Behavior and Bipartisanship
• TexPainter: Generative Mesh Texturing with Multi-view Consistency
• Reliable Interval Prediction of Minimum Operating Voltage Based on On-chip Monitors via Conformalized Quantile Regression
• Encoder vs Decoder: Comparative Analysis of Encoder and Decoder Language Models on Multilingual NLU Tasks
• Managing extreme AI risks amid rapid progress
• Accelerating Clinical Evidence Synthesis with Large Language Models
• Unrecognized title 2024-06-26 10:47:12 UTC
• LLM Targeted Underperformance Disproportionately Impacts Vulnerable Users
• Understanding and Mitigating Tokenization Bias in Language Models
• GPT-4V Explorations: Mining Autonomous Driving
• Long Context Transfer from Language to Vision
• EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees
• Revisiting Referring Expression Comprehension Evaluation in the Era of Large Multimodal Models
• Extrapolation to nonequilibrium from coarse grained response theory
• A Framework for Identifying Group Behavior of Wild Animals
• Quasipositive links and electromagnetism
• Examining average and discounted reward optimality criteria in reinforcement learning
• EV-Planner: Energy-Efficient Robot Navigation via Event-Based Physics-Guided Neuromorphic Planner
• Learning Directional Feature Maps for Cardiac MRI Segmentation
• Networks with Growth and Preferential Attachment: Modeling and Applications
• Efficient Neural Network Deployment for Microcontroller
• Adjustable Visual Appearance for Generalizable Novel View Synthesis
• Configuration spaces as commutative monoids
• On the detection of low-rank signal in the presence of spatially uncorrelated noise: a frequency domain approach.
• ChangeViT: Unleashing Plain Vision Transformers for Change Detection
• Global birdsong embeddings enable superior transfer learning for bioacoustic classification
• Simplex-like Structures of Maximally Supersymmetric Scattering Amplitudes
• Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning
• Quantum spherical codes
• Uniqueness of Landau levels and their analogs with higher Chern numbers
• Kolmogorov-Arnold Networks (KANs) for Time Series Analysis
• Wav-KAN: Wavelet Kolmogorov-Arnold Networks
• A Polynomial Time Algorithm for 3SAT