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
38,078	4	Title: On Borrowed Time - Preventing Static Power Side-Channel Analysis Abstract: In recent years, static power side-channel analysis attacks have emerged as a serious threat to cryptographic implementations, overcoming state-of-the-art countermeasures against side-channel attacks. The continued down-scaling of semicon...	[]	Train
38,079	24	Title: Imitating Graph-Based Planning with Goal-Conditioned Policies Abstract: Recently, graph-based planning algorithms have gained much attention to solve goal-conditioned reinforcement learning (RL) tasks: they provide a sequence of subgoals to reach the target-goal, and the agents learn to execute subgoal-condition...	[ 39479 ]	Test
38,080	4	Title: On the Exploitability of Instruction Tuning Abstract: Instruction tuning is an effective technique to align large language models (LLMs) with human intents. In this work, we investigate how an adversary can exploit instruction tuning by injecting specific instruction-following examples into the training data tha...	[ 8673, 13345, 13700, 33220, 2855, 43176, 15881, 16651, 27282, 36179, 729, 1115, 10749 ]	Train
38,081	23	Title: A Use Case-Engineering Resources Taxonomy for Analytical Spreadsheet Models Abstract: This paper presents a taxonomy for analytical spreadsheet models. It considers both the use case that a spreadsheet is meant to serve, and the engineering resources devoted to its development. We extend a previous three-type ta...	[]	Validation
38,082	30	Title: Estimating the Causal Effect of Early ArXiving on Paper Acceptance Abstract: What is the effect of releasing a preprint of a paper before it is submitted for peer review? No randomized controlled trial has been conducted, so we turn to observational data to answer this question. We use data from the ICLR confere...	[]	Validation
38,083	27	Title: Task and Motion Planning with Large Language Models for Object Rearrangement Abstract: Multi-object rearrangement is a crucial skill for service robots, and commonsense reasoning is frequently needed in this process. However, achieving commonsense arrangements requires knowledge about objects, which is hard to t...	[ 22115, 40573, 40777, 8138, 26059, 29612, 33455, 3219, 8084, 10163, 21782, 41780, 5816, 6716, 20797, 12606 ]	Train
38,084	5	Title: Efficient Exchange of Metadata Information in Geo-Distributed Fog Systems Abstract: Metadata information is crucial for efficient geo-distributed fog computing systems. Many existing solutions for metadata exchange overlook geo-awareness or lack adequate failure tolerance, which are vital in such systems. To add...	[ 4638 ]	Validation
38,085	24	Title: Augmenting Rule-based DNS Censorship Detection at Scale with Machine Learning Abstract: The proliferation of global censorship has led to the development of a plethora of measurement platforms to monitor and expose it. Censorship of the domain name system (DNS) is a key mechanism used across different countries....	[ 34682 ]	Validation
38,086	4	Title: Augmented Reality's Potential for Identifying and Mitigating Home Privacy Leaks Abstract: Users face various privacy risks in smart homes, yet there are limited ways for them to learn about the details of such risks, such as the data practices of smart home devices and their data flow. In this paper, we present ...	[ 848 ]	Train
38,087	2	Title: Cartesian institutions with evidence: Data and system modelling with diagrammatic constraints and generalized sketches Abstract: Data constraints are fundamental for practical data modelling, and a verifiable conformance of a data instance to a safety-critical constraint (satisfaction relation) is a corner-stone...	[ 23953 ]	Train
38,088	27	Title: Intent-based Deep Reinforcement Learning for Multi-agent Informative Path Planning Abstract: In multi-agent informative path planning (MAIPP), agents must collectively construct a global belief map of an underlying distribution of interest (e.g., gas concentration, light intensity, or pollution levels) over a gi...	[ 35123 ]	Train
38,089	3	Title: Do All Asians Look the Same?: A Comparative Analysis of the East Asian Facial Color Desires using Instagram Abstract: Selfies represent people's desires, and social media platforms like Instagram have been flooded with them. This study uses selfie data to examine how peoples' desires for ideal facial representat...	[]	Train
38,090	24	Title: Ensemble learning for Physics Informed Neural Networks: a Gradient Boosting approach Abstract: While the popularity of physics-informed neural networks (PINNs) is steadily rising, to this date, PINNs have not been successful in simulating multi-scale and singular perturbation problems. In this work, we present a...	[]	Train
38,091	27	Title: COACH: Cooperative Robot Teaching Abstract: Knowledge and skills can transfer from human teachers to human students. However, such direct transfer is often not scalable for physical tasks, as they require one-to-one interaction, and human teachers are not available in sufficient numbers. Machine learning enables...	[ 45364 ]	Train
38,092	16	Title: Semantic Segmentation on VSPW Dataset through Contrastive Loss and Multi-dataset Training Approach Abstract: Video scene parsing incorporates temporal information, which can enhance the consistency and accuracy of predictions compared to image scene parsing. The added temporal dimension enables a more comprehens...	[]	Train
38,093	24	Title: HyperTab: Hypernetwork Approach for Deep Learning on Small Tabular Datasets Abstract: Deep learning has achieved impressive performance in many domains, such as computer vision and natural language processing, but its advantage over classical shallow methods on tabular datasets remains questionable. It is especi...	[ 36081 ]	Test
38,094	5	Title: Towards Fast, Adaptive, and Hardware-Assisted User-Space Scheduling Abstract: Modern datacenter applications are prone to high tail latencies since their requests typically follow highly-dispersive distributions. Delivering fast interrupts is essential to reducing tail latency. Prior work has proposed both OS- a...	[]	Train
38,095	16	Title: From Association to Generation: Text-only Captioning by Unsupervised Cross-modal Mapping Abstract: With the development of Vision-Language Pre-training Models (VLPMs) represented by CLIP and ALIGN, significant breakthroughs have been achieved for association-based visual tasks such as image classification and im...	[]	Train
38,096	4	Title: DOLOS: A Novel Architecture for Moving Target Defense Abstract: Moving Target Defense and Cyber Deception emerged in recent years as two key proactive cyber defense approaches, contrasting with the static nature of the traditional reactive cyber defense. The key insight behind these approaches is to impose an as...	[]	Train
38,097	24	Title: PGrad: Learning Principal Gradients For Domain Generalization Abstract: Machine learning models fail to perform when facing out-of-distribution (OOD) domains, a challenging task known as domain generalization (DG). In this work, we develop a novel DG training strategy, we call PGrad, to learn a robust gradient d...	[]	Validation
38,098	22	Title: Hybrid Multiparty Session Types - Full Version Abstract: Multiparty session types (MPST) are a specification and verification framework for distributed message-passing systems. The communication protocol of the system is specified as a global type, from which a collection of local types (local process implementa...	[]	Train
38,099	25	Title: EDAC: Efficient Deployment of Audio Classification Models For COVID-19 Detection Abstract: The global spread of COVID-19 had severe consequences for public health and the world economy. The quick onset of the pandemic highlighted the potential benefits of cheap and deployable pre-screening methods to monitor the...	[]	Train
38,100	23	Title: Comparing 2D and Augmented Reality Visualizations for Microservice System Understandability: A Controlled Experiment Abstract: Microservice-based systems are often complex to understand, especially when their sizes grow. Abstracted views help practitioners with the system understanding from a certain perspective...	[]	Test
38,101	24	Title: Federated Linear Contextual Bandits with User-level Differential Privacy Abstract: This paper studies federated linear contextual bandits under the notion of user-level differential privacy (DP). We first introduce a unified federated bandits framework that can accommodate various definitions of DP in the sequen...	[ 29132, 27446 ]	Validation
38,102	30	Title: Cognitive Mirage: A Review of Hallucinations in Large Language Models Abstract: As large language models continue to develop in the field of AI, text generation systems are susceptible to a worrisome phenomenon known as hallucination. In this study, we summarize recent compelling insights into hallucinations in ...	[ 17417, 19983, 21011, 27669, 22042, 9760, 12321, 37411, 30244, 17447, 26673, 41010, 28730, 29755, 31291, 14920, 24150, 11869, 12384, 37987, 22638, 9840, 30849, 28805, 28294, 41104, 43668, 27801, 15004, 3745, 40610, 33961, 39600, 6328, 24760, 44217...	Validation
38,103	24	Title: Regularization, early-stopping and dreaming: a Hopfield-like setup to address generalization and overfitting Abstract: In this work we approach attractor neural networks from a machine learning perspective: we look for optimal network parameters by applying a gradient descent over a regularized loss function. Wi...	[ 2604 ]	Validation
38,104	16	Title: Egocentric Auditory Attention Localization in Conversations Abstract: In a noisy conversation environment such as a dinner party, people often exhibit selective auditory attention, or the ability to focus on a particular speaker while tuning out others. Recognizing who somebody is listening to in a conversation ...	[]	Test
38,105	16	Title: Motion-to-Matching: A Mixed Paradigm for 3D Single Object Tracking Abstract: 3D single object tracking with LiDAR points is an important task in the computer vision field. Previous methods usually adopt the matching-based or motion-centric paradigms to estimate the current target status. However, the former is s...	[]	Train
38,106	3	Title: A large language model-assisted education tool to provide feedback on open-ended responses Abstract: Open-ended questions are a favored tool among instructors for assessing student understanding and encouraging critical exploration of course material. Providing feedback for such responses is a time-consuming tas...	[ 33477, 31112, 25590, 43641, 34367 ]	Train
38,107	24	Title: Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation Abstract: Robustness has been extensively studied in reinforcement learning (RL) to handle various forms of uncertainty such as random perturbations, rare events, and malicious attacks. In this work, we consider one critical type...	[ 40489, 3106, 30807 ]	Train
38,108	6	Title: PaperToPlace: Transforming Instruction Documents into Spatialized and Context-Aware Mixed Reality Experiences Abstract: While paper instructions are one of the mainstream medium for sharing knowledge, consuming such instructions and translating them into activities are inefficient due to the lack of connectivity...	[]	Test
38,109	33	Title: Singly Exponential Translation of Alternating Weak Büchi Automata to Unambiguous Büchi Automata Abstract: We introduce a method for translating an alternating weak B\"uchi automaton (AWA), which corresponds to a Linear Dynamic Logic (LDL) formula, to an unambiguous B\"uchi automaton (UBA). Our translations gener...	[]	Train
38,110	27	Title: Towards AI-controlled FES-restoration of movements: Learning cycling stimulation pattern with reinforcement learning Abstract: Functional electrical stimulation (FES) has been increasingly integrated with other rehabilitation devices, including robots. FES cycling is one of the common FES applications in rehabil...	[]	Train
38,111	30	Title: Legal Summarisation through LLMs: The PRODIGIT Project Abstract: We present some initial results of a large-scale Italian project called PRODIGIT which aims to support tax judges and lawyers through digital technology, focusing on AI. We have focused on generation of summaries of judicial decisions and on the ex...	[ 43085 ]	Test
38,112	16	Title: BugNIST - A New Large Scale Volumetric 3D Image Dataset for Classification and Detection Abstract: Progress in 3D volumetric image analysis research is limited by the lack of datasets and most advances in analysis methods for volumetric images are based on medical data. However, medical data do not necessarily r...	[]	Validation
38,113	30	Title: A Modular Approach for Multilingual Timex Detection and Normalization using Deep Learning and Grammar-based methods Abstract: Detecting and normalizing temporal expressions is an essential step for many NLP tasks. While a variety of methods have been proposed for detection, best normalization approaches rely on ...	[]	Train
38,114	16	Title: Guided Linear Upsampling Abstract: Guided upsampling is an effective approach for accelerating high-resolution image processing. In this paper, we propose a simple yet effective guided upsampling method. Each pixel in the high-resolution image is represented as a linear interpolation of two low-resolution pixels...	[]	Train
38,115	30	Title: Boosting Event Extraction with Denoised Structure-to-Text Augmentation Abstract: Event extraction aims to recognize pre-defined event triggers and arguments from texts, which suffer from the lack of high-quality annotations. In most NLP applications, involving a large scale of synthetic training data is a practi...	[]	Test
38,116	36	Title: Mechanism Design for Collaborative Normal Mean Estimation Abstract: We study collaborative normal mean estimation, where $m$ strategic agents collect i.i.d samples from a normal distribution $\mathcal{N}(\mu, \sigma^2)$ at a cost. They all wish to estimate the mean $\mu$. By sharing data with each other, agents ...	[]	Train
38,117	16	Title: You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images Abstract: Synthetic images generated from deep generative models have the potential to address data scarcity and data privacy issues. The selection of synthesis models is mostly based on image quality measurements, and most resear...	[]	Train
38,118	16	Title: SpATr: MoCap 3D Human Action Recognition based on Spiral Auto-encoder and Transformer Network Abstract: Recent advancements in technology have expanded the possibilities of human action recognition by leveraging 3D data, which offers a richer representation of actions through the inclusion of depth information, ...	[]	Train
38,119	27	Title: Safety Guaranteed Manipulation Based on Reinforcement Learning Planner and Model Predictive Control Actor Abstract: Deep reinforcement learning (RL) has been endowed with high expectations in tackling challenging manipulation tasks in an autonomous and self-directed fashion. Despite the significant strides made ...	[]	Train
38,120	24	Title: OpenDataVal: a Unified Benchmark for Data Valuation Abstract: Assessing the quality and impact of individual data points is critical for improving model performance and mitigating undesirable biases within the training dataset. Several data valuation algorithms have been proposed to quantify data quality, howeve...	[]	Train
38,121	16	Title: MFMAN-YOLO: A Method for Detecting Pole-like Obstacles in Complex Environment Abstract: In real-world traffic, there are various uncertainties and complexities in road and weather conditions. To solve the problem that the feature information of pole-like obstacles in complex environments is easily lost, resultin...	[ 45270 ]	Train
38,122	25	Title: Evaluation of Speech Representations for MOS prediction Abstract: In this paper, we evaluate feature extraction models for predicting speech quality. We also propose a model architecture to compare embeddings of supervised learning and self-supervised learning models with embeddings of speaker verification model...	[]	Test
38,123	16	Title: ZScribbleSeg: Zen and the Art of Scribble Supervised Medical Image Segmentation Abstract: . Curating a large scale fully-annotated dataset can be both labour-intensive and expertise-demanding, especially for medical images. To alleviate this problem, we propose to utilize solely scribble annotations for weakly s...	[]	Train
38,124	24	Title: Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training Abstract: New roads are being constructed all the time. However, the capabilities of previous deep forecasting models to generalize to new roads not seen in the training data (unseen roads) are rarely explored. In...	[ 25603, 10396 ]	Train
38,125	24	Title: Multi-dimensional Discrimination in Law and Machine Learning - A Comparative Overview Abstract: AI-driven decision-making can lead to discrimination against certain individuals or social groups based on protected characteristics/attributes such as race, gender, or age. The domain of fairness-aware machine learni...	[]	Train
38,126	16	Title: Confidence Contours: Uncertainty-Aware Annotation for Medical Semantic Segmentation Abstract: Medical image segmentation modeling is a high-stakes task where understanding of uncertainty is crucial for addressing visual ambiguity. Prior work has developed segmentation models utilizing probabilistic or generative...	[ 10621 ]	Train
38,127	24	Title: Least Square Value Iteration is Robust Under Locally Bounded Misspecification Error Abstract: The success of reinforcement learning heavily relies on the function approximation of policy, value or models, where misspecification (a mismatch between the ground-truth and best function approximators) naturally occur...	[ 34489, 30650 ]	Train
38,128	26	Title: A Comprehensive Bibliometric Analysis on Social Network Anonymization: Current Approaches and Future Directions Abstract: In recent decades, social network anonymization has become a crucial research field due to its pivotal role in preserving users' privacy. However, the high diversity of approaches introduced ...	[]	Train
38,129	4	Title: Digital Healthcare in The Metaverse: Insights into Privacy and Security Abstract: In this article, we study the privacy and security aspects of the metaverse in the context of digital healthcare. Our studies include the security aspects of data collection and communications for access to the metaverse, the priva...	[ 17573 ]	Train
38,130	6	Title: From the Lab to the Wild: Affect Modeling via Privileged Information Abstract: How can we reliably transfer affect models trained in controlled laboratory conditions (in-vitro) to uncontrolled real-world settings (in-vivo)? The information gap between in-vitro and in-vivo applications defines a core challenge of...	[ 14747 ]	Validation
38,131	24	Title: Augmenting Hessians with Inter-Layer Dependencies for Mixed-Precision Post-Training Quantization Abstract: Efficiently serving neural network models with low latency is becoming more challenging due to increasing model complexity and parameter count. Model quantization offers a solution which simultaneously redu...	[ 9610, 923 ]	Test
38,132	39	Title: On the Possibility of a Connection between the Construction of a Class of Bigeodetic Blocks and the Existence Problem for Biplanes Abstract: Graph theory and enumerative combinatorics are two branches of mathematical sciences that have developed astonishingly over the past one hundred years. It is especially imp...	[]	Test
38,133	30	Title: Response-conditioned Turn-taking Prediction Abstract: Previous approaches to turn-taking and response generation in conversational systems have treated it as a two-stage process: First, the end of a turn is detected (based on conversation history), then the system generates an appropriate response. Humans, howev...	[]	Train
38,134	37	Title: Using Multiple RDF Knowledge Graphs for Enriching ChatGPT Responses Abstract: There is a recent trend for using the novel Artificial Intelligence ChatGPT chatbox, which provides detailed responses and articulate answers across many domains of knowledge. However, in many cases it returns plausible-sounding but in...	[]	Train
38,135	16	Title: Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval Abstract: In Composed Image Retrieval (CIR), a user combines a query image with text to describe their intended target. Existing methods rely on supervised learning of CIR models using labeled triplets consisting of the query image, text ...	[ 37861, 2985, 19181, 14733, 9198, 38552, 20535, 24248, 9657, 25310, 29311 ]	Train
38,136	13	Title: On the Liveliness of Artificial Life Abstract: here has been on-going philosophical debate on whether artificial life models, also known as digital organisms, are truly alive. The main difficulty appears to be finding an encompassing and definite definition of life. By examining similarities and differences in r...	[]	Train
38,137	30	Title: Exploring Hybrid Linguistic Features for Turkish Text Readability Abstract: This paper presents the first comprehensive study on automatic readability assessment of Turkish texts. We combine state-of-the-art neural network models with linguistic features at lexical, morphosyntactic, syntactic and discourse level...	[ 8799 ]	Train
38,138	16	Title: Degree-Controllable Lightweight Fast Style Transfer with Detail Attention-enhanced Abstract: Style transfer methods usually use pre-trained VGG or more complex models as encoders to achieve better effects. This leads to extremely slow processing of high-resolution images. To solve the problem, we propose an degr...	[]	Train
38,139	24	Title: Dual Bayesian ResNet: A Deep Learning Approach to Heart Murmur Detection Abstract: This study presents our team PathToMyHeart's contri-bution to the George B. Moody PhysioNet Challenge 2022. Two models are implemented. The first model is a Dual Bayesian ResNet (DBRes), where each patient's recording is segmented...	[]	Validation
38,140	16	Title: GLSFormer: Gated - Long, Short Sequence Transformer for Step Recognition in Surgical Videos Abstract: Automated surgical step recognition is an important task that can significantly improve patient safety and decision-making during surgeries. Existing state-of-the-art methods for surgical step recognition either...	[]	Test
38,141	24	Title: EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models Abstract: While the general machine learning (ML) community has benefited from public datasets, tasks, and models, the progress of ML in healthcare has been hampered by a lack of such shared assets. The success of foundation models creates ne...	[ 2171, 15724, 11199 ]	Validation
38,142	24	Title: Causal Discovery with Latent Confounders Based on Higher-Order Cumulants Abstract: Causal discovery with latent confounders is an important but challenging task in many scientific areas. Despite the success of some overcomplete independent component analysis (OICA) based methods in certain domains, they are comp...	[]	Train
38,143	24	Title: ISP meets Deep Learning: A Survey on Deep Learning Methods for Image Signal Processing Abstract: The entire Image Signal Processor (ISP) of a camera relies on several processes to transform the data from the Color Filter Array (CFA) sensor, such as demosaicing, denoising, and enhancement. These processes can be ...	[]	Validation
38,144	30	Title: LLM2KB: Constructing Knowledge Bases using instruction tuned context aware Large Language Models Abstract: The advent of Large Language Models (LLM) has revolutionized the field of natural language processing, enabling significant progress in various applications. One key area of interest is the construction of ...	[ 43641, 6797 ]	Test
38,145	24	Title: Deploying Machine Learning Models to Ahead-of-Time Runtime on Edge Using MicroTVM Abstract: In the past few years, more and more AI applications have been applied to edge devices. However, models trained by data scientists with machine learning frameworks, such as PyTorch or TensorFlow, can not be seamlessly exe...	[]	Train
38,146	27	Title: iART: Learning From Demonstration for Assisted Robotic Therapy Using LSTM Abstract: In this letter, we present an intelligent Assistant for Robotic Therapy (iART), that provides robotic assistance during 3D trajectory tracking tasks. We propose a novel LSTM-based robot learning from demonstration (LfD) paradigm ...	[ 5996 ]	Train
38,147	34	Title: Generalizing Greenwald-Khanna Streaming Quantile Summaries for Weighted Inputs Abstract: Estimating quantiles, like the median or percentiles, is a fundamental task in data mining and data science. A (streaming) quantile summary is a data structure that can process a set S of n elements in a streaming fashion an...	[]	Train
38,148	24	Title: A Call for Standardization and Validation of Text Style Transfer Evaluation Abstract: Text Style Transfer (TST) evaluation is, in practice, inconsistent. Therefore, we conduct a meta-analysis on human and automated TST evaluation and experimentation that thoroughly examines existing literature in the field. The ...	[ 45324 ]	Validation
38,149	24	Title: Calibration-Aware Bayesian Learning Abstract: Deep learning models, including modern systems like large language models, are well known to offer unreliable estimates of the uncertainty of their decisions. In order to improve the quality of the confidence levels, also known as calibration, of a model, common appr...	[ 33220 ]	Train
38,150	23	Title: Generic and Robust Root Cause Localization for Multi-Dimensional Data in Online Service Systems Abstract: Localizing root causes for multi-dimensional data is critical to ensure online service systems' reliability. When a fault occurs, only the measure values within specific attribute combinations are abnormal. ...	[]	Validation
38,151	24	Title: DeepTree: Modeling Trees with Situated Latents Abstract: In this paper, we propose DeepTree, a novel method for modeling trees based on learning developmental rules for branching structures instead of manually defining them. We call our deep neural model "situated latent" because its behavior is determined by th...	[ 31413 ]	Train
38,152	24	Title: FAVAS: Federated AVeraging with ASynchronous clients Abstract: In this paper, we propose a novel centralized Asynchronous Federated Learning (FL) framework, FAVAS, for training Deep Neural Networks (DNNs) in resource-constrained environments. Despite its popularity, ``classical'' federated learning faces the inc...	[]	Train
38,153	16	Title: An Effective Two-stage Training Paradigm Detector for Small Dataset Abstract: Learning from the limited amount of labeled data to the pre-train model has always been viewed as a challenging task. In this report, an effective and robust solution, the two-stage training paradigm YOLOv8 detector (TP-YOLOv8), is des...	[]	Train
38,154	24	Title: A Convolutional-based Model for Early Prediction of Alzheimer's based on the Dementia Stage in the MRI Brain Images Abstract: Alzheimer's disease is a degenerative brain disease. Being the primary cause of Dementia in adults and progressively destroys brain memory. Though Alzheimer's disease does not have a cure...	[]	Train
38,155	8	Title: Safe and Accelerated Deep Reinforcement Learning-based O-RAN Slicing: A Hybrid Transfer Learning Approach Abstract: The open radio access network (O-RAN) architecture supports intelligent network control algorithms as one of its core capabilities. Data-driven applications incorporate such algorithms to optimize ...	[ 36199 ]	Train
38,156	27	Title: Energy Management of Multi-mode Plug-in Hybrid Electric Vehicle using Multi-agent Deep Reinforcement Learning Abstract: The recently emerging multi-mode plug-in hybrid electric vehicle (PHEV) technology is one of the pathways making contributions to decarbonization, and its energy management requires multiple-in...	[ 16084, 18974 ]	Test
38,157	3	Title: The Self-Perception and Political Biases of ChatGPT Abstract: This contribution analyzes the self-perception and political biases of OpenAI's Large Language Model ChatGPT. Taking into account the first small-scale reports and studies that have emerged, claiming that ChatGPT is politically biased towards progress...	[ 17248, 17920, 20993, 17668, 28580, 31238, 26792, 44845, 42458, 690, 12500, 12602, 668, 6942 ]	Validation
38,158	27	Title: Online Targetless Radar-Camera Extrinsic Calibration Based on the Common Features of Radar and Camera Abstract: Sensor fusion is essential for autonomous driving and autonomous robots, and radar-camera fusion systems have gained popularity due to their complementary sensing capabilities. However, accurate calibr...	[]	Test
38,159	2	Title: On the Definition of the Eta-long Normal Form in Type Systems of the Cube Abstract: The smallest transitive relation<on well-typed normal terms such that if t is a strict subterm of u then t<u and if T is the normal form of the type of t and the term t is not a sort then T<t is well-founded in the type systems o...	[ 14535 ]	Train
38,160	16	Title: NeuS-PIR: Learning Relightable Neural Surface using Pre-Integrated Rendering Abstract: Recent advances in neural implicit fields enables rapidly reconstructing 3D geometry from multi-view images. Beyond that, recovering physical properties such as material and illumination is essential for enabling more applicat...	[]	Validation
38,161	16	Title: Building Footprint Extraction with Graph Convolutional Network Abstract: Building footprint information is an essential ingredient for 3-D reconstruction of urban models. The automatic generation of building footprints from satellite images presents a considerable challenge due to the complexity of building shap...	[]	Validation
38,162	30	Title: Chatbots put to the test in math and logic problems: A preliminary comparison and assessment of ChatGPT-3.5, ChatGPT-4, and Google Bard Abstract: A comparison between three chatbots which are based on large language models, namely ChatGPT-3.5, ChatGPT-4 and Google Bard is presented, focusing on their ability to ...	[ 44246, 5503 ]	Validation
38,163	30	Title: Addressing Biases in the Texts using an End-to-End Pipeline Approach Abstract: The concept of fairness is gaining popularity in academia and industry. Social media is especially vulnerable to media biases and toxic language and comments. We propose a fair ML pipeline that takes a text as input and determines whe...	[]	Test
38,164	16	Title: A Comparative Study of Image-to-Image Translation Using GANs for Synthetic Child Race Data Abstract: The lack of ethnic diversity in data has been a limiting factor of face recognition techniques in the literature. This is particularly the case for children where data samples are scarce and presents a challenge ...	[ 24208 ]	Train
38,165	16	Title: Dominating Set Database Selection for Visual Place Recognition Abstract: This paper presents an approach for creating a visual place recognition (VPR) database for localization in indoor environments from RGBD scanning sequences. The proposed approach is formulated as a minimization problem in terms of dominatin...	[]	Train
38,166	9	Title: Scheme-Theoretic Approach to Computational Complexity. III. SETH Abstract: We show that there exist infinitely many $n \in \mathbb{Z}^+$ such that for any constant $\epsilon>0$, any deterministic algorithm to solve $k$-\textsf{SAT} for $k \geq 3$ must perform at least $(2^{k-\frac{3}{2}-\epsilon})^{\frac{n}{k+1}...	[]	Validation
38,167	30	Title: Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models Abstract: Generative pre-trained transformer (GPT) models have revolutionized the field of natural language processing (NLP) with remarkable performance in various tasks and also extend their po...	[ 10624, 14592, 27138, 40192, 13700, 42756, 16014, 41104, 27282, 44050, 3609, 43930, 13345, 25892, 15413, 5815, 6328, 12602, 9403, 45242, 8509, 1854, 25021, 29375, 33853, 33220, 15301, 458, 1234, 1369, 23898, 11614, 37987, 109, 17517, 31218, 2815...	Validation
38,168	27	Title: Optimal Sampling-based Motion Planning in Gaussian Belief Space for Minimum Sensing Navigation Abstract: In this paper, we consider the motion planning problem in Gaussian belief space for minimum sensing navigation. Despite the extensive use of sampling-based algorithms and their rigorous analysis in the determ...	[]	Test
38,169	28	Title: Efficient Near Maximum-Likelihood Reliability-Based Decoding for Short LDPC Codes Abstract: In this paper, we propose an efficient decoding algorithm for short low-density parity check (LDPC) codes by carefully combining the belief propagation (BP) decoding and order statistic decoding (OSD) algorithms. Specific...	[]	Train
38,170	24	Title: CorrFL: Correlation-Based Neural Network Architecture for Unavailability Concerns in a Heterogeneous IoT Environment Abstract: The Federated Learning (FL) paradigm faces several challenges that limit its application in real-world environments. These challenges include the local models’ architecture heterogeneity...	[]	Test
38,171	16	Title: A scoping review on multimodal deep learning in biomedical images and texts. Abstract: nan	[ 30243, 8759 ]	Train
38,172	24	Title: Leveraging Linear Independence of Component Classifiers: Optimizing Size and Prediction Accuracy for Online Ensembles Abstract: Ensembles, which employ a set of classifiers to enhance classification accuracy collectively, are crucial in the era of big data. However, although there is general agreement that the r...	[]	Train
38,173	16	Title: DISPEL: Domain Generalization via Domain-Specific Liberating Abstract: Domain generalization aims to learn a generalization model that can perform well on unseen test domains by only training on limited source domains. However, existing domain generalization approaches often bring in prediction-irrelevant noise ...	[]	Test
38,174	13	Title: Long Short-term Memory with Two-Compartment Spiking Neuron Abstract: The identification of sensory cues associated with potential opportunities and dangers is frequently complicated by unrelated events that separate useful cues by long delays. As a result, it remains a challenging task for state-of-the-art spiki...	[ 39312, 35182 ]	Train
38,175	4	Title: A Protocol for Cast-as-Intended Verifiability with a Second Device Abstract: Numerous institutions, such as companies, universities, or non-governmental organizations, employ Internet voting for remote elections. Since the main purpose of an election is to determine the voters' will, it is fundamentally importan...	[]	Train
38,176	30	Title: Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translation Abstract: Neural machine translation (NMT) has progressed rapidly over the past several years, and modern models are able to achieve relatively high quality using only monolingual text data, an approach dubbed Unsupervised Machine...	[ 9595 ]	Train
38,177	24	Title: Resolving Interference When Merging Models Abstract: Transfer learning - i.e., further fine-tuning a pre-trained model on a downstream task - can confer significant advantages, including improved downstream performance, faster convergence, and better sample efficiency. These advantages have led to a proliferatio...	[ 14212, 12142, 711 ]	Validation

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