Split (1)

train · 203k rows

node_id int64 0 76.9k	label int64 0 39	text stringlengths 13 124k	neighbors listlengths 0 3.32k	mask stringclasses 4 values
29,478	33	Title: Languages given by Finite Automata over the Unary Alphabet Abstract: This paper studies the complexity of operations with finite automata and the complexity of their decision problems when the alphabet is unary. (1) This paper improves the upper bound of the equality problem of unary nondeterministic automata fr...	[]	Validation
29,479	5	Title: Harnessing Deep Learning and HPC Kernels via High-Level Loop and Tensor Abstractions on CPU Architectures Abstract: During the past decade, Deep Learning (DL) algorithms, programming systems and hardware have converged with the High Performance Computing (HPC) counterparts. Nevertheless, the programming methodol...	[]	Train
29,480	24	Title: Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization Abstract: This paper introduces a modular framework for Mixed-variable and Combinatorial Bayesian Optimization (MCBO) to address the lack of systematic benchmarking and standardized evaluation in the field. Current MCBO papers of...	[ 13797 ]	Test
29,481	24	Title: Gradient-Based Spectral Embeddings of Random Dot Product Graphs Abstract: The Random Dot Product Graph (RDPG) is a generative model for relational data, where nodes are represented via latent vectors in low-dimensional Euclidean space. RDPGs crucially postulate that edge formation probabilities are given by the ...	[]	Train
29,482	24	Title: Navigating Explanatory Multiverse Through Counterfactual Path Geometry Abstract: Counterfactual explanations are the de facto standard when tasked with interpreting decisions of (opaque) predictive models. Their generation is often subject to algorithmic and domain-specific constraints -- such as density-based f...	[ 45331, 34343, 6239 ]	Train
29,483	24	Title: Personalized Prediction of Recurrent Stress Events Using Self-Supervised Learning on Multimodal Time-Series Data Abstract: Chronic stress can significantly affect physical and mental health. The advent of wearable technology allows for the tracking of physiological signals, potentially leading to innovative stre...	[ 17684, 77, 14013 ]	Test
29,484	6	Title: Utilising Explanations to Mitigate Robot Conversational Failures Abstract: This paper presents an overview of robot failure detection work from HRI and adjacent fields using failures as an opportunity to examine robot explanation behaviours. As humanoid robots remain experimental tools in the early 2020s, intera...	[]	Train
29,485	27	Title: Falsification of a Vision-based Automatic Landing System Abstract: At smaller airports without an instrument approach or advanced equipment, automatic landing of aircraft is a safety-critical task that requires the use of sensors present on the aircraft. In this paper, we study falsification of an automatic land...	[ 9480 ]	Train
29,486	23	Title: Towards the Assisted Decomposition of Large-Active Files Abstract: Tightly coupled and interdependent systems inhibit productivity by requiring developers to carefully coordinate their changes, even when modifying subsystems that should be independent of one another. Poor architectural decisions frequently lead ...	[]	Validation
29,487	30	Title: DKAF: KB Arbitration for Learning Task-Oriented Dialog Systems with Dialog-KB Inconsistencies Abstract: Task-oriented dialog (TOD) agents often ground their responses on external knowledge bases (KBs). These KBs can be dynamic and may be updated frequently. Existing approaches for learning TOD agents assume the ...	[]	Train
29,488	24	Title: Deep Variational Lesion-Deficit Mapping Abstract: Causal mapping of the functional organisation of the human brain requires evidence of \textit{necessity} available at adequate scale only from pathological lesions of natural origin. This demands inferential models with sufficient flexibility to capture both the ...	[ 20517 ]	Test
29,489	24	Title: A Bayesian Programming Approach to Car-following Model Calibration and Validation using Limited Data Abstract: Traffic simulation software is used by transportation researchers and engineers to design and evaluate changes to roadways. These simulators are driven by models of microscopic driver behavior from whic...	[]	Train
29,490	23	Title: Few-shot learning for sentence pair classification and its applications in software engineering Abstract: Few-shot learning-the ability to train models with access to limited data-has become increasingly popular in the natural language processing (NLP) domain, as large language models such as GPT and T0 have bee...	[ 12852 ]	Test
29,491	8	Title: An eXtended Reality Offloading IP Traffic Dataset and Models Abstract: In recent years, advances in immersive multimedia technologies, such as extended reality (XR) technologies, have led to more realistic and user-friendly devices. However, these devices are often bulky and uncomfortable, still requiring tether...	[]	Validation
29,492	24	Title: A survey on bias in machine learning research Abstract: Current research on bias in machine learning often focuses on fairness, while overlooking the roots or causes of bias. However, bias was originally defined as a"systematic error,"often caused by humans at different stages of the research process. This artic...	[]	Train
29,493	24	Title: Multi-gauge Hydrological Variational Data Assimilation: Regionalization Learning with Spatial Gradients using Multilayer Perceptron and Bayesian-Guided Multivariate Regression Abstract: Tackling the difficult problem of estimating spatially distributed hydrological parameters, especially for floods on ungauged w...	[]	Train
29,494	24	Title: AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges Abstract: Artificial Intelligence for IT operations (AIOps) aims to combine the power of AI with the big data generated by IT Operations processes, particularly in cloud infrastructures, to provide actionable insights with the...	[]	Train
29,495	3	Title: Towards a Flexible User Interface for 'Quick and Dirty' Learning Analytics Indicator Design Abstract: Research on Human-Centered Learning Analytics (HCLA) has provided demonstrations of a successful co-design process for LA tools with different stakeholders. However, there is a need for 'quick and dirty' methods...	[ 21852 ]	Train
29,496	24	Title: CT-BERT: Learning Better Tabular Representations Through Cross-Table Pre-training Abstract: Tabular data -- also known as structured data -- is one of the most common data forms in existence, thanks to the stable development and scaled deployment of database systems in the last few decades. At present however, d...	[ 867, 13700 ]	Train
29,497	24	Title: A Self-Encoder for Learning Nearest Neighbors Abstract: We present the self-encoder, a neural network trained to guess the identity of each data sample. Despite its simplicity, it learns a very useful representation of data, in a self-supervised way. Specifically, the self-encoder learns to distribute the data s...	[]	Train
29,498	37	Title: Popularity Ranking of Database Management Systems Abstract: —Databases are considered to be integral part of mod- ern information systems. Almost every web or mobile application uses some kind of database. Database management systems are considered to be a crucial element from both business and technological sta...	[]	Validation
29,499	23	Title: Stoic Conceptual Modeling Applied to Business Process Modeling Notation (BPMN) Abstract: – Basic abstraction principles are reached through ontology, which was traditionally conceived as a depiction of the world itself. Ontology is also described using conceptual modeling (CM) that defines fundamental concepts o...	[ 44648 ]	Validation
29,500	10	Title: Amortised Experimental Design and Parameter Estimation for User Models of Pointing Abstract: User models play an important role in interaction design, supporting automation of interaction design choices. In order to do so, model parameters must be estimated from user data. While very large amounts of user data a...	[]	Train
29,501	27	Title: A Passivity-based Approach for Variable Stiffness Control with Dynamical Systems Abstract: In this paper, we present a controller that combines motion generation and control in one loop, to endow robots with reactivity and safety. In particular, we propose a control approach that enables to follow the motion pla...	[ 4497 ]	Train
29,502	31	Title: A review on individual and multistakeholder fairness in tourism recommender systems Abstract: The growing use of Recommender Systems (RS) across various industries, including e-commerce, social media, news, travel, and tourism, has prompted researchers to examine these systems for any biases or fairness concerns...	[]	Train
29,503	16	Title: Generation of High Spatial Resolution Terrestrial Surface from Low Spatial Resolution Elevation Contour Maps via Hierarchical Computation of Median Elevation Regions Abstract: We proposed a simple yet effective morphological approach to convert a sparse Digital Elevation Model (DEM) to a dense Digital Elevation ...	[]	Train
29,504	24	Title: Scientific Computing with Diffractive Optical Neural Networks Abstract: Diffractive optical neural networks (DONNs) have been emerging as a high-throughput and energy-efficient hardware platform to perform all-optical machine learning (ML) in machine vision systems. However, the current demonstrated applications...	[]	Train
29,505	24	Title: Solving PDEs with Unmeasurable Source Terms Using Coupled Physics-Informed Neural Network with Recurrent Prediction for Soft Sensors Abstract: Partial differential equations (PDEs) are a model candidate for soft sensors in industrial processes with spatiotemporal dependence. Although physics-informed neural netw...	[]	Train
29,506	16	Title: BuilDiff: 3D Building Shape Generation using Single-Image Conditional Point Cloud Diffusion Models Abstract: 3D building generation with low data acquisition costs, such as single image-to-3D, becomes increasingly important. However, most of the existing single image-to-3D building creation works are restricted ...	[ 22163 ]	Train
29,507	30	Title: The Jaseci Programming Paradigm and Runtime Stack: Building Scale-Out Production Applications Easy and Fast Abstract: Today's production scale-out applications include many sub-application components, such as storage backends, logging infrastructure and AI models. These components have drastically different char...	[]	Train
29,508	24	Title: A Generic Approach to Integrating Time into Spatial-Temporal Forecasting via Conditional Neural Fields Abstract: Self-awareness is the key capability of autonomous systems, e.g., autonomous driving network, which relies on highly efficient time series forecasting algorithm to enable the system to reason about th...	[]	Validation
29,509	24	Title: On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training Abstract: Pre-training datasets are critical for building state-of-the-art machine learning models, motivating rigorous study on their impact on downstream tasks. In this work, we study the impact of the trade-off between the intra-clas...	[ 21834, 38186, 1581, 30063 ]	Train
29,510	23	Title: Genetic Algorithms for Searching a Matrix of Metagrammars for Synthesis Abstract: Syntax-guided synthesis is a paradigm in program synthesis in which the search space of candidate solutions is constrained by a syntactic template in the form of a grammar. These syntactic constraints serve two purposes: constraini...	[]	Train
29,511	34	Title: Improved Algorithms for Monotone Moldable Job Scheduling using Compression and Convolution Abstract: In the moldable job scheduling problem one has to assign a set of $n$ jobs to $m$ machines, in order to minimize the time it takes to process all jobs. Each job is moldable, so it can be assigned not only to one ...	[]	Train
29,512	30	Title: From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought Abstract: How does language inform our downstream thinking? In particular, how do humans make meaning from language--and how can we leverage a theory of linguistic meaning to build machines that think in ...	[ 41103, 26974, 7239, 5975 ]	Train
29,513	16	Title: Anti-Compression Contrastive Facial Forgery Detection Abstract: Forgery facial images and videos have increased the concern of digital security. It leads to the significant development of detecting forgery data recently. However, the data, especially the videos published on the Internet, are usually compressed w...	[]	Train
29,514	2	Title: Solving Rehabilitation Scheduling problems via a Two-Phase ASP approach Abstract: A core part of the rehabilitation scheduling process consists of planning rehabilitation physiotherapy sessions for patients, by assigning proper operators to them in a certain time slot of a given day, taking into account severa...	[]	Validation
29,515	24	Title: Autonomous particles Abstract: . Consider a reinforcement learning problem where an agent has access to a very large amount of information about the environment, but it can only take very few actions to accomplish its task and to maximize its reward. Evidently, the main problem for the agent is to learn a map fr...	[]	Train
29,516	30	Title: Learn from Mistakes through Cooperative Interaction with Study Assistant Abstract: Large language models have demonstrated their ability to self-reflect and refine their generation, which can further improve their performance. However, this feedback mechanism faces challenges such as no guarantee of correctness ...	[ 38208, 17153, 13700, 35915, 9518, 4111, 17789 ]	Train
29,517	30	Title: Modeling Structural Similarities between Documents for Coherence Assessment with Graph Convolutional Networks Abstract: Coherence is an important aspect of text quality, and various approaches have been applied to coherence modeling. However, existing methods solely focus on a single document’s coherence pattern...	[]	Train
29,518	16	Title: Noise-Tolerance GPU-based Age Estimation Using ResNet-50 Abstract: The human face contains important and understandable information such as personal identity, gender, age, and ethnicity. In recent years, a person's age has been studied as one of the important features of the face. The age estimation system consi...	[]	Train
29,519	4	Title: EsaNet: Environment Semantics Enabled Physical Layer Authentication Abstract: Wireless networks are vulnerable to physical layer spoofing attacks due to the wireless broadcast nature, thus, integrating communications and security (ICAS) is urgently needed for 6G endogenous security. In this letter, we propose an...	[ 43183 ]	Train
29,520	24	Title: Self-Supervised Adversarial Imitation Learning Abstract: Behavioural cloning is an imitation learning technique that teaches an agent how to behave via expert demonstrations. Recent approaches use self-supervision of fully-observable unlabelled snapshots of the states to decode state pairs into actions. However,...	[]	Validation
29,521	16	Title: Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning Abstract: Augmenting pretrained language models (LMs) with a vision encoder (e.g., Flamingo) has obtained state-of-the-art results in image-to-text generation. However, these models store all the knowledge within their para...	[ 24053, 45973, 32215 ]	Train
29,522	27	Title: An Ergonomic Role Allocation Framework for Dynamic Human-Robot Collaborative Tasks Abstract: nan	[ 10525 ]	Test
29,523	16	Title: Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis Abstract: Generative Engineering Design approaches driven by Deep Generative Models (DGM) have been proposed to facilitate industrial engineering processes. In such processes, designs often come in the form of images, such as bluep...	[]	Test
29,524	16	Title: NeRFlame: FLAME-based conditioning of NeRF for 3D face rendering Abstract: Traditional 3D face models are based on mesh representations with texture. One of the most important models is FLAME (Faces Learned with an Articulated Model and Expressions), which produces meshes of human faces that are fully controllab...	[ 30506 ]	Train
29,525	27	Title: MateRobot: Material Recognition in Wearable Robotics for People with Visual Impairments Abstract: Wearable robotics can improve the lives of People with Visual Impairments (PVI) by providing additional sensory information. Blind people typically recognize objects through haptic perception. However, knowing mater...	[ 10561 ]	Train
29,526	16	Title: Neural Relighting with Subsurface Scattering by Learning the Radiance Transfer Gradient Abstract: Reconstructing and relighting objects and scenes under varying lighting conditions is challenging: existing neural rendering methods often cannot handle the complex interactions between materials and light. Incorpor...	[ 35282 ]	Train
29,527	10	Title: NExT-GPT: Any-to-Any Multimodal LLM Abstract: While recently Multimodal Large Language Models (MM-LLMs) have made exciting strides, they mostly fall prey to the limitation of only input-side multimodal understanding, without the ability to produce content in multiple modalities. As we humans always perceive the ...	[ 10624, 4481, 13700, 37765, 15628, 26380, 33932, 41104, 146, 3609, 30745, 36382, 30243, 10788, 12709, 37799, 9014, 8509, 23545, 33981, 32706, 33220, 8903, 15305, 30159, 33104, 32467, 5720, 7384, 11745, 40801, 37987, 15983, 5361, 23669, 14966, 21...	Train
29,528	16	Title: 3D Face Reconstruction for Forensic Recognition - A Survey Abstract: 3D face reconstruction algorithms from images and videos are applied to many fields, from plastic surgery to the entertainment sector, thanks to their advantageous features. However, when looking at forensic applications, 3D face reconstruction...	[]	Train
29,529	10	Title: Robust Multi-Agent Pickup and Delivery with Delays Abstract: Multi-Agent Pickup and Delivery (MAPD) is the problem of computing collision-free paths for a group of agents such that they can safely reach delivery locations from pickup ones. These locations are provided at runtime, making MAPD a combination betwee...	[]	Train
29,530	30	Title: From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning Abstract: In the realm of Large Language Models, the balance between instruction data quality and quantity has become a focal point. Recognizing this, we introduce a self-guided methodology for LLMs to auton...	[ 8608, 14592, 13700, 25892, 42756, 33220, 109, 43641, 19671, 6328, 1369, 12602, 9403 ]	Train
29,531	16	Title: Generative Novel View Synthesis with 3D-Aware Diffusion Models Abstract: We present a diffusion-based model for 3D-aware generative novel view synthesis from as few as a single input image. Our model samples from the distribution of possible renderings consistent with the input and, even in the presence of ambig...	[ 32384, 20577, 7076, 38374, 3912, 39340, 6351, 4559, 41174, 2583, 40888, 30457 ]	Train
29,532	37	Title: SALI: A Scalable Adaptive Learned Index Framework based on Probability Models Abstract: The growth in data storage capacity and the increasing demands for high performance have created several challenges for concurrent indexing structures. One promising solution is learned indexes, which use a learning-based app...	[ 15060 ]	Validation
29,533	16	Title: REB: Reducing Biases in Representation for Industrial Anomaly Detection Abstract: Existing K-nearest neighbor (KNN) retrieval-based methods usually conduct industrial anomaly detection in two stages: obtain feature representations with a pre-trained CNN model and perform distance measures for defect detection. H...	[]	Test
29,534	30	Title: Machine Learning and Statistical Approaches to Measuring Similarity of Political Parties Abstract: Mapping political party systems to metric policy spaces is one of the major methodological problems in political science. At present, in most political science project this task is performed by domain experts relyi...	[]	Test
29,535	16	Title: AV-NeRF: Learning Neural Fields for Real-World Audio-Visual Scene Synthesis Abstract: Human perception of the complex world relies on a comprehensive analysis of multi-modal signals, and the co-occurrences of audio and video signals provide humans with rich cues. This paper focuses on novel audio-visual scene sy...	[ 15251 ]	Train
29,536	16	Title: Collage Diffusion Abstract: We seek to give users precise control over diffusion-based image generation by modeling complex scenes as sequences of layers, which define the desired spatial arrangement and visual attributes of objects in the scene. Collage Diffusion harmonizes the input layers to make objects fit ...	[ 37126, 24550, 34074, 44052, 24986, 29087 ]	Validation
29,537	16	Title: The Casual Conversations v2 Dataset : A diverse, large benchmark for measuring fairness and robustness in audio/vision/speech models Abstract: This paper introduces a new large consent-driven dataset aimed at assisting in the evaluation of algorithmic bias and robustness of computer vision and audio speech model...	[ 25054, 15575 ]	Validation
29,538	24	Title: Active learning for structural reliability analysis with multiple limit state functions through variance-enhanced PC-Kriging surrogate models Abstract: Existing active strategies for training surrogate models yield accurate structural reliability estimates by aiming at design space regions in the vicinity of a s...	[]	Train
29,539	38	Title: H2CGL: Modeling Dynamics of Citation Network for Impact Prediction Abstract: The potential impact of a paper is often quantified by how many citations it will receive. However, most commonly used models may underestimate the influence of newly published papers over time, and fail to encapsulate this dynamics of ...	[]	Validation
29,540	27	Title: Self-Inspection Method of Unmanned Aerial Vehicles in Power Plants Using Deep Q-Network Reinforcement Learning Abstract: For the purpose of inspecting power plants, autonomous robots can be built using reinforcement learning techniques. The method replicates the environment and employs a simple reinforcement lea...	[]	Train
29,541	16	Title: Timely Fusion of Surround Radar/Lidar for Object Detection in Autonomous Driving Systems Abstract: Fusing Radar and Lidar sensor data can fully utilize their complementary advantages and provide more accurate reconstruction of the surrounding for autonomous driving systems. Surround Radar/Lidar can provide 360-d...	[]	Train
29,542	10	Title: Dialogue Possibilities between a Human Supervisor and UAM Air Traffic Management: Route Alteration Abstract: This paper introduces a novel approach to detour management in Urban Air Traffic Management (UATM) using knowledge representation and reasoning. It aims to understand the complexities and requirements of ...	[ 883, 40509 ]	Test
29,543	36	Title: Multi-Agent Contract Design: How to Commission Multiple Agents with Individual Outcomes Abstract: We study hidden-action principal-agent problems with multiple agents. These are problems in which a principal commits to an outcome-dependent payment scheme (called contract) in order to incentivize some agents to t...	[ 14019, 23556 ]	Test
29,544	5	Title: Privacy-Preserving Federated Heavy Hitter Analytics for Non-IID Data Abstract: Federated heavy-hitter analytics involves the identification of the most frequent items within distributed data. Existing methods for this task often encounter challenges such as compromising privacy or sacrificing utility. To address...	[]	Train
29,545	25	Title: Two-Stream Joint-Training for Speaker Independent Acoustic-to-Articulatory Inversion Abstract: Acoustic-to-articulatory inversion (AAI) aims to estimate the parameters of articulators from speech audio. There are two common challenges in AAI, which are the limited data and the unsatisfactory performance in speak...	[]	Test
29,546	4	Title: A Systematization of Cybersecurity Regulations, Standards and Guidelines for the Healthcare Sector Abstract: The growing adoption of IT solutions in the healthcare sector is leading to a steady increase in the number of cybersecurity incidents. As a result, organizations worldwide have introduced regulations, st...	[]	Train
29,547	27	Title: From Continual Learning to Causal Discovery in Robotics Abstract: Reconstructing accurate causal models of dynamic systems from time-series of sensor data is a key problem in many real-world scenarios. In this paper, we present an overview based on our experience about practical challenges that the causal analys...	[ 14251, 33205 ]	Test
29,548	16	Title: EnfoMax: Domain Entropy and Mutual Information Maximization for Domain Generalized Face Anti-spoofing Abstract: The face anti-spoofing (FAS) method performs well under intra-domain setups. However, its cross-domain performance is unsatisfactory. As a result, the domain generalization (DG) method has gained more ...	[]	Train
29,549	30	Title: Unleashing Infinite-Length Input Capacity for Large-scale Language Models with Self-Controlled Memory System Abstract: Large-scale Language Models (LLMs) are constrained by their inability to process lengthy inputs. To address this limitation, we propose the Self-Controlled Memory (SCM) system to unleash infinit...	[ 22497, 13700, 33477, 21610, 19885 ]	Train
29,550	30	Title: A Study on the Reliability of Automatic Dysarthric Speech Assessments Abstract: Automating dysarthria assessments offers the opportunity to develop effective, low-cost tools that address the current limitations of manual and subjective assessments. Nonetheless, it is unclear whether current approaches rely on dy...	[]	Train
29,551	16	Title: Wide & deep learning for spatial & intensity adaptive image restoration Abstract: Most existing deep learning-based image restoration methods usually aim to remove degradation with uniform spatial distribution and constant intensity, making insufficient use of degradation prior knowledge. Here we bootstrap the d...	[]	Validation
29,552	27	Title: Model-Based Underwater 6D Pose Estimation from RGB Abstract: Object pose estimation underwater allows an autonomous system to perform tracking and intervention tasks. Nonetheless, underwater target pose estimation is remarkably challenging due to, among many factors, limited visibility, light scattering, clutter...	[]	Validation
29,553	16	Title: Guiding the Guidance: A Comparative Analysis of User Guidance Signals for Interactive Segmentation of Volumetric Images Abstract: Interactive segmentation reduces the annotation time of medical images and allows annotators to iteratively refine labels with corrective interactions, such as clicks. While existing ...	[ 45208 ]	Train
29,554	30	Title: Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes Abstract: As people become more aware of their food choices, food computation models have become increasingly popular in assisting people in maintaining healthy eating habits. For example, food recommendation systems analyze recipe instructions...	[ 29458, 38381, 17127 ]	Train
29,555	26	Title: ITA-ELECTION-2022: A multi-platform dataset of social media conversations around the 2022 Italian general election Abstract: Online social media play a major role in shaping public discourse and opinion, especially during political events. We present the first public multi-platform dataset of Italian-language po...	[ 38549 ]	Train
29,556	23	Title: Identifying human values from goal models: An industrial case study Abstract: Human values are principles that guide human actions and behaviour in personal and social life. Ignoring human values during requirements engineering introduces a negative impact on software uptake and continued use. Embedding human va...	[]	Test
29,557	4	Title: Cryptanalysis of quantum permutation pad Abstract: Cryptanalysis increases the level of confidence in cryptographic algorithms. We analyze the security of a symmetric cryptographic algorithm - quantum permutation pad (QPP) [8]. We found the instances of ciphertext the same as plaintext even after the action of Q...	[]	Train
29,558	36	Title: Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion Abstract: Bayesian persuasion studies how an informed sender should influence beliefs of rational receivers who take decisions through Bayesian updating of a common prior. We focus on the online Bayesian persuasion framework, in which the send...	[]	Train
29,559	16	Title: Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond Abstract: We introduce the Qwen-VL series, a set of large-scale vision-language models (LVLMs) designed to perceive and understand both text and images. Comprising Qwen-VL and Qwen-VL-Chat, these models exhibit r...	[ 10624, 40801, 37987, 30243, 37799, 38858, 1581, 16878, 13935, 41104, 15413, 30745, 23545, 4251, 27454, 19263 ]	Train
29,560	31	Title: Extracting Shopping Interest-Related Product Types from the Web Abstract: Recommending a diversity of product types (PTs) is important for a good shopping experience when customers are looking for products around their high-level shopping interests (SIs) such as hiking. However, the SI-PT connection is typically...	[ 44836 ]	Train
29,561	24	Title: ESCAPE: Countering Systematic Errors from Machine’s Blind Spots via Interactive Visual Analysis Abstract: Classification models learn to generalize the associations between data samples and their target classes. However, researchers have increasingly observed that machine learning practice easily leads to system...	[ 37940 ]	Train
29,562	6	Title: Visual Ensemble Analysis of Fluid Flow in Porous Media across Simulation Codes and Experiment Abstract: We study the question of how visual analysis can support the comparison of spatio-temporal ensemble data of liquid and gas flow in porous media. To this end, we focus on a case study, in which nine different r...	[]	Validation
29,563	1	Title: A Forensic Methodology for Detecting Image Manipulations Abstract: By applying artificial intelligence to image editing technology, it has become possible to generate high-quality images with minimal traces of manipulation. However, since these technologies can be misused for criminal activities such as dissemin...	[]	Test
29,564	30	Title: Task Oriented Conversational Modelling With Subjective Knowledge Abstract: Existing conversational models are handled by a database(DB) and API based systems. However, very often users' questions require information that cannot be handled by such systems. Nonetheless, answers to these questions are available in ...	[]	Train
29,565	24	Title: An Unsupervised Method for Estimating Class Separability of Datasets with Application to LLMs Fine-Tuning Abstract: This paper proposes an unsupervised method that leverages topological characteristics of data manifolds to estimate class separability of the data without requiring labels. Experiments conducted in...	[]	Train
29,566	6	Title: The System Model and the User Model: Exploring AI Dashboard Design Abstract: This is a speculative essay on interface design and artificial intelligence. Recently there has been a surge of attention to chatbots based on large language models, including widely reported unsavory interactions. We contend that part ...	[ 36528, 7758 ]	Test
29,567	10	Title: Debunking Disinformation: Revolutionizing Truth with NLP in Fake News Detection Abstract: The Internet and social media have altered how individuals access news in the age of instantaneous information distribution. While this development has increased access to information, it has also created a significant prob...	[]	Train
29,568	27	Title: RRT and Velocity Obstacles-based motion planning for Unmanned Aircraft Systems Traffic Management (UTM) Abstract: In this paper, an algorithm for Unmanned Aircraft Systems Traffic Management (UTM) for a finite number of unmanned aerial vehicles (UAVs) is proposed. This algorithm is developed by combining the Rap...	[]	Test
29,569	30	Title: FeedbackMap: a tool for making sense of open-ended survey responses Abstract: Analyzing open-ended survey responses is a crucial yet challenging task for social scientists, non-profit organizations, and educational institutions, as they often face the trade-off between obtaining rich data and the burden of readi...	[]	Train
29,570	24	Title: Soft Actor-Critic Algorithm with Truly-satisfied Inequality Constraint Abstract: Soft actor-critic (SAC) in reinforcement learning is expected to be one of the next-generation robot control schemes. Its ability to maximize policy entropy would make a robotic controller robust to noise and perturbation, which is ...	[ 39819 ]	Validation
29,571	16	Title: A Multimodal Visual Encoding Model Aided by Introducing Verbal Semantic Information Abstract: Biological research has revealed that the verbal semantic information in the brain cortex, as an additional source, participates in nonverbal semantic tasks, such as visual encoding. However, previous visual encoding mo...	[]	Train
29,572	24	Title: A Cloud-Based Deep Learning Framework for Early Detection of Pushing at Crowded Event Entrances Abstract: Crowding at the entrances of large events may lead to critical and life-threatening situations, particularly when people start pushing each other to reach the event faster. Automatic and timely identificatio...	[]	Train
29,573	18	Title: Transfer Functions of Proteinoid Microspheres Abstract: Proteinoids, or thermal proteins, are inorganic entities formed by heating amino acids to their melting point and commencing polymerisation to form polymeric chains. Typically, their diameters range from 1μm to 10μm. Some amino acids incorporated into prote...	[ 19361, 20178, 26764, 8829 ]	Validation
29,574	16	Title: Synthesis-based Imaging-Differentiation Representation Learning for Multi-Sequence 3D/4D MRI Abstract: Multi-sequence MRIs can be necessary for reliable diagnosis in clinical practice due to the complimentary information within sequences. However, redundant information exists across sequences, which interferes w...	[]	Train
29,575	6	Title: Comparing Nodes of Multivariate Graphs Through Dynamic Layout Adaptations Abstract: Visual comparison is an important task in the analysis of multivariate graphs. However, comparison of topological features of a graph with respect to its data attributes for different portions of the data remains challenging beca...	[]	Validation
29,576	16	Title: GaFET: Learning Geometry-aware Facial Expression Translation from In-The-Wild Images Abstract: While current face animation methods can manipulate expressions individually, they suffer from several limitations. The expressions manipulated by some motion-based facial reenactment models are crude. Other ideas mode...	[ 15459, 1540, 17119 ]	Validation
29,577	24	Title: Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious Features Abstract: To avoid failures on out-of-distribution data, recent works have sought to extract features that have a stable or invariant relationship with the label across domains, discarding the"spurious"or unstable fea...	[]	Test

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