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
22,278	6	Title: A Reference Model for Collaborative Business Intelligence Virtual Assistants Abstract: Collaborative Business Analysis (CBA) is a methodology that involves bringing together different stakeholders, including business users, analysts, and technical specialists, to collaboratively analyze data and gain insights in...	[]	Validation
22,279	4	Title: SFP: Providing System Call Flow Protection against Software and Fault Attacks Abstract: With the improvements in computing technologies, edge devices in the Internet-of-Things have become more complex. The enabler technology for these complex systems are powerful application core processors with operating system...	[]	Train
22,280	30	Title: Extraction of Constituent Factors of Digestion Efficiency in Information Transfer by Media Composed of Texts and Images Abstract: The development and spread of information and communication technologies have increased and diversified information. However, the increase in the volume and the selection of informati...	[]	Train
22,281	24	Title: Self-Activating Neural Ensembles for Continual Reinforcement Learning Abstract: The ability for an agent to continuously learn new skills without catastrophically forgetting existing knowledge is of critical importance for the development of generally intelligent agents. Most methods devised to address this prob...	[]	Validation
22,282	10	Title: Explainable Answer-set Programming Abstract: The interest in explainability in artificial intelligence (AI) is growing vastly due to the near ubiquitous state of AI in our lives and the increasing complexity of AI systems. Answer-set Programming (ASP) is used in many areas, among them are industrial optimisation...	[]	Train
22,283	30	Title: Role-Play with Large Language Models Abstract: As dialogue agents become increasingly human-like in their performance, it is imperative that we develop effective ways to describe their behaviour in high-level terms without falling into the trap of anthropomorphism. In this paper, we foreground the concept of rol...	[ 14145, 4546, 33220, 46066, 9686, 7127, 35927, 634, 21180 ]	Test
22,284	28	Title: Precoding for a Class of Peak-Constrained Dirty Paper Channels with a Discrete State Abstract: The dirty paper channel (DPC) under a peak amplitude constraint arises in an optical wireless broadcast channel (BC), where the state at one receiver is the transmitted signal intended for the other receiver(s). This p...	[]	Validation
22,285	16	Title: Few-shot Action Recognition via Intra- and Inter-Video Information Maximization Abstract: Current few-shot action recognition involves two primary sources of information for classification:(1) intra-video information, determined by frame content within a single video clip, and (2) inter-video information, measur...	[]	Train
22,286	30	Title: Evaluating Verifiability in Generative Search Engines Abstract: Generative search engines directly generate responses to user queries, along with in-line citations. A prerequisite trait of a trustworthy generative search engine is verifiability, i.e., systems should cite comprehensively (high citation recall; al...	[ 27140, 38281, 19722, 6544, 19088, 44063, 17447, 42160, 28087, 24760, 31291, 17726, 18764, 3033, 35418, 3931, 29401, 10849, 21990, 20072, 889, 41210, 30975 ]	Train
22,287	34	Title: Random Wheeler Automata Abstract: Wheeler automata were introduced in 2017 as a tool to generalize existing indexing and compression techniques based on the Burrows-Wheeler transform. Intuitively, an automaton is said to be Wheeler if there exists a total order on its states reflecting the co-lexicographic order...	[ 5865 ]	Train
22,288	27	Title: SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Task Planning Abstract: Large language models (LLMs) have demonstrated impressive results in developing generalist planning agents for diverse tasks. However, grounding these plans in expansive, multi-floor, and multi-room environments p...	[ 22115, 33220, 33477, 43718, 39114, 9518, 33455, 41336, 634, 13564 ]	Test
22,289	30	Title: Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models Abstract: Large language models (LLMs) can achieve highly effective performance on various reasoning tasks by incorporating step-by-step chain-of-thought (CoT) prompting as demonstrations. However, the reasoning chains of...	[ 34821, 31431, 29419, 35627, 33817, 18683, 29757 ]	Train
22,290	30	Title: ReSeTOX: Re-learning attention weights for toxicity mitigation in machine translation Abstract: Our proposed method, ReSeTOX (REdo SEarch if TOXic), addresses the issue of Neural Machine Translation (NMT) generating translation outputs that contain toxic words not present in the input. The objective is to mitiga...	[]	Train
22,291	38	Title: A scientometric analysis of the effect of COVID-19 on the spread of research outputs Abstract: The spread of the Sars-COV-2 pandemic in 2020 had a huge impact on the life course of all of us. This rapid spread has also caused an increase in the research production in topics related to COVID-19 with regard to dif...	[]	Test
22,292	30	Title: Named Entity Recognition Based Automatic Generation of Research Highlights Abstract: A scientific paper is traditionally prefaced by an abstract that summarizes the paper. Recently, research highlights that focus on the main findings of the paper have emerged as a complementary summary in addition to an abstract...	[ 38312 ]	Validation
22,293	20	Title: Convex Hulls: Surface Mapping onto a Sphere Abstract: Writing an uncomplicated, robust, and scalable three-dimensional convex hull algorithm is challenging and problematic. This includes, coplanar and collinear issues, numerical accuracy, performance, and complexity trade-offs. While there are a number of method...	[]	Validation
22,294	14	Title: Refined F5 Algorithms for Ideals of Minors of Square Matrices Abstract: We consider the problem of computing a grevlex Gröbner basis for the set Fr(M) of minors of size r of an n × n matrix M of generic linear forms over a field of characteristic zero or large enough. Such sets are not regular sequences; in fact...	[ 29601 ]	Train
22,295	30	Title: Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language Models Abstract: Conventional knowledge distillation (KD) methods require access to the internal information of teachers, e.g., logits. However, such information may not always be accessible for large p...	[]	Validation
22,296	30	Title: Scalable Handwritten Text Recognition System for Lexicographic Sources of Under-Resourced Languages and Alphabets Abstract: nan	[]	Train
22,297	3	Title: Intersectionality and Testimonial Injustice in Medical Records Abstract: Detecting testimonial injustice is an essential element of addressing inequities and promoting inclusive healthcare practices, many of which are life-critical. However, using a single demographic factor to detect testimonial injustice does ...	[ 19037 ]	Test
22,298	3	Title: Gender Inequalities: Women Researchers Require More Knowledge in Specific and Experimental Topics Abstract: Gender inequalities in science have long been observed globally. Studies have demonstrated it through survey data or published literature, focusing on the interests of subjects or authors; few, however, ex...	[]	Train
22,299	15	Title: Accelerating FPGA-Based Wi-Fi Transceiver Design and Prototyping by High-Level Synthesis Abstract: Field-Programmable Gate Array (FPGA)-based Software-Defined Radio (SDR) is well-suited for experimenting with advanced wireless communication systems, as it allows to alter the architecture promptly while obtaining...	[]	Train
22,300	24	Title: Baselines for Identifying Watermarked Large Language Models Abstract: We consider the emerging problem of identifying the presence and use of watermarking schemes in widely used, publicly hosted, closed source large language models (LLMs). We introduce a suite of baseline algorithms for identifying watermarks in...	[ 497, 43930, 38235, 22476 ]	Train
22,301	30	Title: PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models Abstract: While transformer-based pre-trained language models (PLMs) have dominated a number of NLP applications, these models are heavy to deploy and expensive to use. Therefore, effectively compressing large-scale PLMs becomes an i...	[]	Test
22,302	16	Title: Learning Monocular Depth in Dynamic Environment via Context-aware Temporal Attention Abstract: The monocular depth estimation task has recently revealed encouraging prospects, especially for the autonomous driving task. To tackle the ill-posed problem of 3D geometric reasoning from 2D monocular images, multi-fra...	[]	Test
22,303	30	Title: Exploiting Summarization Data to Help Text Simplification Abstract: One of the major problems with text simplification is the lack of high-quality data. The sources of simplification datasets are limited to Wikipedia and Newsela, restricting further development of this field. In this paper, we analyzed the simil...	[]	Validation
22,304	30	Title: Aspect based sentimental analysis for travellers' reviews Abstract: Airport service quality evaluation is commonly found on social media, including Google Maps. This valuable for airport management in order to enhance the quality of services provided. However; prior studies either provide general review for topi...	[]	Train
22,305	16	Title: ProtoCaps: A Fast and Non-Iterative Capsule Network Routing Method Abstract: Capsule Networks have emerged as a powerful class of deep learning architectures, known for robust performance with relatively few parameters compared to Convolutional Neural Networks (CNNs). However, their inherent efficiency is often ...	[ 21665, 45895 ]	Train
22,306	24	Title: Correlation visualization under missing values: a comparison between imputation and direct parameter estimation methods Abstract: Correlation matrix visualization is essential for understanding the relationships between variables in a dataset, but missing data can pose a significant challenge in estimating corre...	[]	Validation
22,307	24	Title: On Imitation in Mean-field Games Abstract: We explore the problem of imitation learning (IL) in the context of mean-field games (MFGs), where the goal is to imitate the behavior of a population of agents following a Nash equilibrium policy according to some unknown payoff function. IL in MFGs presents new challe...	[]	Train
22,308	30	Title: CommunityFish: A Poisson-based Document Scaling With Hierarchical Clustering Abstract: Document scaling has been a key component in text-as-data applications for social scientists and a major field of interest for political researchers, who aim at uncovering differences between speakers or parties with the help ...	[]	Train
22,309	3	Title: Verification and Validation of the Stakeholder Tool for Assessing Radioactive Transportation (START) Abstract: The U.S. Department of Energy (DOE) Office of Integrated Waste Management is planning for the eventual transportation, storage, and disposal of spent nuclear fuel (SNF) and high-level radioactive waste ...	[]	Train
22,310	34	Title: Dynamic constant time parallel graph algorithms with sub-linear work Abstract: The paper proposes dynamic parallel algorithms for connectivity and bipartiteness of undirected graphs that require constant time and $O(n^{1/2+\epsilon})$ work on the CRCW PRAM model. The work of these algorithms almost matches the w...	[ 25921 ]	Validation
22,311	16	Title: Diffeomorphic Deformation via Sliced Wasserstein Distance Optimization for Cortical Surface Reconstruction Abstract: Mesh deformation is a core task for 3D mesh reconstruction, but defining an efficient discrepancy between predicted and target meshes remains an open problem. A prevalent approach in current deep ...	[]	Validation
22,312	10	Title: Speech-Gesture GAN: Gesture Generation for Robots and Embodied Agents Abstract: Embodied agents, in the form of virtual agents or social robots, are rapidly becoming more widespread. In human-human interactions, humans use nonverbal behaviours to convey their attitudes, feelings, and intentions. Therefore, this ...	[]	Train
22,313	36	Title: Group fairness in dynamic refugee assignment Abstract: Ensuring that refugees and asylum seekers thrive (e.g., find employment) in their host countries is a profound humanitarian goal, and a primary driver of employment is the geographic location to which the refugee or asylum seeker is assigned. In the past few...	[]	Train
22,314	30	Title: Memotion 3: Dataset on Sentiment and Emotion Analysis of Codemixed Hindi-English Memes Abstract: Memes are the new-age conveyance mechanism for humor on social media sites. Memes often include an image and some text. Memes can be used to promote disinformation or hatred, thus it is crucial to investigate in deta...	[ 978, 7347, 13285 ]	Test
22,315	5	Title: Breaking the f+1 Barrier: Executing Payment Transactions in Parallel with Less than f+1 Validations Abstract: We consider the problem of supporting payment transactions in an asynchronous system in which up to $f$ validators are subject to Byzantine failures under the control of an adaptive adversary. It was sho...	[]	Train
22,316	23	Title: FuzzyFlow: Leveraging Dataflow To Find and Squash Program Optimization Bugs Abstract: The current hardware landscape and application scale is driving performance engineers towards writing bespoke optimizations. Verifying such optimizations, and generating minimal failing cases, is important for robustness in the...	[]	Train
22,317	24	Title: Sinkhorn-Flow: Predicting Probability Mass Flow in Dynamical Systems Using Optimal Transport Abstract: Predicting how distributions over discrete variables vary over time is a common task in time series forecasting. But whereas most approaches focus on merely predicting the distribution at subsequent time steps,...	[]	Train
22,318	31	Title: Seasonality Based Reranking of E-commerce Autocomplete Using Natural Language Queries Abstract: Query autocomplete (QAC) also known as typeahead, suggests list of complete queries as user types prefix in the search box. It is one of the key features of modern search engines specially in e-commerce. One of the go...	[]	Validation
22,319	24	Title: Towards Label Position Bias in Graph Neural Networks Abstract: Graph Neural Networks (GNNs) have emerged as a powerful tool for semi-supervised node classification tasks. However, recent studies have revealed various biases in GNNs stemming from both node features and graph topology. In this work, we uncover a n...	[ 21340 ]	Test
22,320	16	Title: On the Robustness of Object Detection Models in Aerial Images Abstract: The robustness of object detection models is a major concern when applied to real-world scenarios. However, the performance of most object detection models degrades when applied to images subjected to corruptions, since they are usually trai...	[]	Train
22,321	4	Title: Re-aligning Shadow Models can Improve White-box Membership Inference Attacks Abstract: Machine learning models have been shown to leak sensitive information about their training datasets. As models are being increasingly used, on devices, to automate tasks and power new applications, there have been concerns tha...	[]	Test
22,322	2	Title: Logipedia: a multi-system encyclopedia of formal proofs Abstract: Libraries of formal proofs are an important part of our mathematical heritage, but their usability and sustainability is poor. Indeed, each library is specific to a proof system, sometimes even to some version of this system. Thus, a library devel...	[]	Train
22,323	23	Title: Manual Tests Do Smell! Cataloging and Identifying Natural Language Test Smells Abstract: Background: Test smells indicate potential problems in the design and implementation of automated software tests that may negatively impact test code maintainability, coverage, and reliability. When poorly described, manual ...	[]	Train
22,324	16	Title: COSA: Concatenated Sample Pretrained Vision-Language Foundation Model Abstract: Due to the limited scale and quality of video-text training corpus, most vision-language foundation models employ image-text datasets for pretraining and primarily focus on modeling visually semantic representations while disregardin...	[ 10624, 22114, 45452, 5361, 8084, 23285, 2967 ]	Test
22,325	31	Title: Unmasking Falsehoods in Reviews: An Exploration of NLP Techniques Abstract: In the contemporary digital landscape, online reviews have become an indispensable tool for promoting products and services across various businesses. Marketers, advertisers, and online businesses have found incentives to create deceptiv...	[]	Validation
22,326	28	Title: A Message Passing Detection based Affine Frequency Division Multiplexing Communication System Abstract: The next generation of wireless communication technology is anticipated to address the communication reliability challenges encountered in high-speed mobile communication scenarios. An Orthogonal Time Frequenc...	[]	Train
22,327	16	Title: Self-supervised Geometric Features Discovery via Interpretable Attention for Vehicle Re-Identification and Beyond Abstract: To learn distinguishable patterns, most of recent works in vehicle re-identification (ReID) struggled to redevelop official benchmarks to provide various supervisions, which requires prohib...	[ 32890, 10765 ]	Train
22,328	16	Title: Pre-NeRF 360: Enriching Unbounded Appearances for Neural Radiance Fields Abstract: Neural radiance fields (NeRF) appeared recently as a powerful tool to generate realistic views of objects and confined areas. Still, they face serious challenges with open scenes, where the camera has unrestricted movement and con...	[ 34246 ]	Train
22,329	16	Title: On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion Abstract: Generalizing deep learning models to unknown target domain distribution with low latency has motivated research into test-time training/adaptation (TTT/TTA). Existing approaches often focus on improving t...	[]	Test
22,330	4	Title: DP-Forward: Fine-tuning and Inference on Language Models with Differential Privacy in Forward Pass Abstract: Differentially private stochastic gradient descent (DP-SGD) adds noise to gradients in back-propagation, safeguarding training data from privacy leakage, particularly membership inference. It fails to cov...	[]	Train
22,331	30	Title: GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Information Abstract: While large language models (LLMs) have been successfully applied to various tasks, they still face challenges with hallucinations. Augmenting LLMs with domain-specific tools such as database utili...	[ 7936, 3931, 22148, 15301, 2406, 33220, 11476, 38102, 29753, 634, 9499, 45182, 21375 ]	Train
22,332	16	Title: From Visual Prompt Learning to Zero-Shot Transfer: Mapping Is All You Need Abstract: Visual prompt learning, as a newly emerged technique, leverages the knowledge learned by a large-scale pre-trained model and adapts it to downstream tasks through the usage of prompts. While previous research has focused on desi...	[]	Train
22,333	4	Title: Must the Communication Graph of MPC Protocols be an Expander? Abstract: nan	[ 5848 ]	Train
22,334	10	Title: A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT Abstract: Recently, ChatGPT, along with DALL-E-2 and Codex,has been gaining significant attention from society. As a result, many individuals have become interested in related resources and are seeking to uncove...	[ 10624, 40192, 13700, 397, 44173, 33809, 44818, 147, 6293, 22935, 39324, 6942, 7076, 1836, 39340, 37806, 45104, 4916, 36149, 13239, 1337, 45242, 7867, 17340, 20031, 12096, 15683, 17349, 21833, 36554, 28362, 26825, 26317, 10062, 18638, 11476, 150...	Train
22,335	16	Title: Asymmetric Co-Training with Explainable Cell Graph Ensembling for Histopathological Image Classification Abstract: Convolutional neural networks excel in histopathological image classification, yet their pixel-level focus hampers explainability. Conversely, emerging graph convolutional networks spotlight cell-le...	[]	Train
22,336	30	Title: Efficient Guided Generation for Large Language Models Abstract: In this article we show how the problem of neural text generation can be constructively reformulated in terms of transitions between the states of a finite-state machine. This framework leads to an efficient approach to guiding text generation with ...	[ 19936, 1374, 44318 ]	Test
22,337	24	Title: Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning Abstract: We study the budget allocation problem in online marketing campaigns that utilize previously collected offline data. We first discuss the long-term effect of optimizing marketing budget allocation decisions in the offline ...	[ 39762 ]	Train
22,338	16	Title: Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection Abstract: Real-world deployment of reliable object detectors is crucial for applications such as autonomous driving. However, general-purpose object detectors like Faster R-CNN are prone to providing overconfident predictions for outlier...	[]	Test
22,339	27	Title: Primitive Skill-based Robot Learning from Human Evaluative Feedback Abstract: Reinforcement learning (RL) algorithms face significant challenges when dealing with long-horizon robot manipulation tasks in real-world environments due to sample inefficiency and safety issues. To overcome these challenges, we propos...	[]	Validation
22,340	24	Title: Neural-based classification rule learning for sequential data Abstract: Discovering interpretable patterns for classification of sequential data is of key importance for a variety of fields, ranging from genomics to fraud detection or more generally interpretable decision-making. In this paper, we propose a nove...	[]	Validation
22,341	8	Title: Market Driven Multidomain Network Service Orchestration in 5G Networks Abstract: The advent of a new breed of enhanced multimedia services has put network operators into a position where they must support innovative services while ensuring both end-to-end Quality of Service requirements and profitability. Recent...	[]	Train
22,342	24	Title: DeepGEMM: Accelerated Ultra Low-Precision Inference on CPU Architectures using Lookup Tables Abstract: A lot of recent progress has been made in ultra low-bit quantization, promising significant improvements in latency, memory footprint and energy consumption on edge devices. Quantization methods such as Learned...	[]	Train
22,343	30	Title: Research on Named Entity Recognition in Improved transformer with R-Drop structure Abstract: To enhance the generalization ability of the model and improve the effectiveness of the transformer for named entity recognition tasks, the XLNet-Transformer-R model is proposed in this paper. The XLNet pre-trained model...	[]	Train
22,344	30	Title: Learning and Reasoning Multifaceted and Longitudinal Data for Poverty Estimates and Livelihood Capabilities of Lagged Regions in Rural India Abstract: Poverty is a multifaceted phenomenon linked to the lack of capabilities of households to earn a sustainable livelihood, increasingly being assessed using multidim...	[]	Test
22,345	27	Title: Interaction-Aware Trajectory Planning for Autonomous Vehicles with Analytic Integration of Neural Networks into Model Predictive Control Abstract: Autonomous vehicles (AVs) must share the driving space with other drivers and often employ conservative motion planning strategies to ensure safety. These conservativ...	[]	Train
22,346	28	Title: Design of a New CIM-DCSK-Based Ambient Backscatter Communication System Abstract: To improve the data rate in differential chaos shift keying (DCSK) based ambient backscatter communication (AmBC) system, we propose a new AmBC system based on code index modulation (CIM), referred to as CIM-DCSK-AmBC system. In th...	[]	Train
22,347	31	Title: Computationally Efficient Labeling of Cancer Related Forum Posts by Non-Clinical Text Information Retrieval Abstract: An abundance of information about cancer exists online, but categorizing and extracting useful information from it is difficult. Almost all research within healthcare data processing is concerned...	[]	Validation
22,348	27	Title: Computational Tradeoff in Minimum Obstacle Displacement Planning for Robot Navigation Abstract: In this paper, we look into the minimum obstacle displacement (MOD) planning problem from a mobile robot motion planning perspective. This problem finds an optimal path to goal by displacing movable obstacles when no ...	[ 45915 ]	Train
22,349	34	Title: 3-Coloring in Time O(1.3217^n) Abstract: We propose a new algorithm for 3-coloring that runs in time O(1.3217^n). For this algorithm, we make use of the time O(1.3289^n) algorithm for 3-coloring by Beigel and Eppstein. They described a structure in all graphs, whose vertices could be colored relatively easily. I...	[]	Train
22,350	27	Title: Assignment Algorithms for Multi-Robot Multi-Target Tracking with Sufficient and Limited Sensing Capability Abstract: We study the problem of assigning robots with actions to track targets. The objective is to optimize the robot team's tracking quality which can be defined as the reduction in the uncertainty of t...	[]	Train
22,351	24	Title: Hybrid Variational Autoencoder for Time Series Forecasting Abstract: Variational autoencoders (VAE) are powerful generative models that learn the latent representations of input data as random variables. Recent studies show that VAE can flexibly learn the complex temporal dynamics of time series and achieve more...	[]	Train
22,352	5	Title: Energy-Constrained Programmable Matter Under Unfair Adversaries Abstract: Individual modules of programmable matter participate in their system's collective behavior by expending energy to perform actions. However, not all modules may have access to the external energy source powering the system, necessitating a...	[]	Train
22,353	16	Title: FishEye8K: A Benchmark and Dataset for Fisheye Camera Object Detection Abstract: With the advance of AI, road object detection has been a prominent topic in computer vision, mostly using perspective cameras. Fisheye lens provides omnidirectional wide coverage for using fewer cameras to monitor road intersections...	[]	Validation
22,354	30	Title: Trustworthiness of Children Stories Generated by Large Language Models Abstract: Large Language Models (LLMs) have shown a tremendous capacity for generating literary text. However, their effectiveness in generating children's stories has yet to be thoroughly examined. In this study, we evaluate the trustworthin...	[ 43930, 12067, 13700, 17061 ]	Train
22,355	24	Title: LSTM-based Load Forecasting Robustness Against Noise Injection Attack in Microgrid Abstract: In this paper, we investigate the robustness of an LSTM neural network against noise injection attacks for electric load forecasting in an ideal microgrid. The performance of the LSTM model is investigated under a black-...	[]	Train
22,356	16	Title: Distribution-Aligned Diffusion for Human Mesh Recovery Abstract: Recovering a 3D human mesh from a single RGB image is a challenging task due to depth ambiguity and self-occlusion, resulting in a high degree of uncertainty. Meanwhile, diffusion models have recently seen much success in generating high-quality ou...	[ 39340 ]	Test
22,357	8	Title: Insights on the Next Generation WLAN: High Experiences (HEX) Abstract: Wireless local area network (WLAN) witnesses a very fast growth in the past 20 years by taking the maximum throughput as the key technical objective. However, the quality of experience (QoE) is the most important concern of wireless network u...	[]	Train
22,358	23	Title: Automated and Context-Aware Repair of Color-Related Accessibility Issues for Android Apps Abstract: Approximately 15% of the world's population is suffering from various disabilities or impairments. However, many mobile UX designers and developers disregard the significance of accessibility for those with disabi...	[ 18282 ]	Train
22,359	18	Title: Neuromorphic spintronics accelerated by an unconventional data-driven Thiele equation approach Abstract: We design a neural network based on a single spin-torque vortex nano-oscillator (STVO) multiplexed in time. The behavior of the STVO is simulated with an improved ultra-fast and quantitative model based on th...	[]	Train
22,360	28	Title: Achievable Sum-rate of variants of QAM over Gaussian Multiple Access Channel with and without security Abstract: The performance of next generation wireless systems (5G/6G and beyond) at the physical layer is primarily driven by the choice of digital modulation techniques that are bandwidth and power efficient, ...	[]	Test
22,361	30	Title: Diacritic Recognition Performance in Arabic ASR Abstract: We present an analysis of diacritic recognition performance in Arabic Automatic Speech Recognition (ASR) systems. As most existing Arabic speech corpora do not contain all diacritical marks, which represent short vowels and other phonetic information in A...	[]	Test
22,362	16	Title: Transforming Radiance Field with Lipschitz Network for Photorealistic 3D Scene Stylization Abstract: Recent advances in 3D scene representation and novel view synthesis have witnessed the rise of Neural Radiance Fields (NeRFs). Nevertheless, it is not trivial to exploit NeRF for the photorealistic 3D scene styli...	[ 35986 ]	Validation
22,363	4	Title: An Insider Threat Mitigation Framework Using Attribute Based Access Control Abstract: Insider Threat is a significant and potentially dangerous security issue in corporate settings. It is difficult to mitigate because, unlike external threats, insiders have knowledge of an organization's access policies, access ...	[]	Train
22,364	16	Title: ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process Abstract: Image recognition and generation have long been developed independently of each other. With the recent trend towards general-purpose representation learning, the development of gener...	[ 28532, 8308 ]	Train
22,365	31	Title: Counterfactual Evaluation of Peer-Review Assignment Policies Abstract: Peer review assignment algorithms aim to match research papers to suitable expert reviewers, working to maximize the quality of the resulting reviews. A key challenge in designing effective assignment policies is evaluating how changes to the...	[]	Train
22,366	30	Title: Class-Incremental Learning based on Label Generation Abstract: Despite the great success of pre-trained language models, it is still a challenge to use these models for continual learning, especially for the class-incremental learning (CIL) setting due to catastrophic forgetting (CF). This paper reports our find...	[]	Train
22,367	3	Title: Automatic assessment of text-based responses in post-secondary education: A systematic review Abstract: Text-based open-ended questions in academic formative and summative assessments help students become deep learners and prepare them to understand concepts for a subsequent test conceptually. However, grading t...	[]	Validation
22,368	16	Title: SignDiff: Learning Diffusion Models for American Sign Language Production Abstract: The field of Sign Language Production (SLP) lacked a large-scale, pre-trained model based on deep learning for continuous American Sign Language (ASL) production in the past decade. This limitation hampers communication for all i...	[ 39553, 34074 ]	Train
22,369	16	Title: BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects Abstract: We present the evaluation methodology, datasets and results of the BOP Challenge 2022, the fourth in a series of public competitions organized with the goal to capture the status quo in the field of 6D object po...	[ 28326, 4007, 39465, 21802, 22861, 37137, 8478 ]	Validation
22,370	8	Title: IEEE 802.11az Indoor Positioning with mmWave Abstract: Last years we have witnessed the uprising of location based applications, which depend on the devices ability to accurately obtain their position. IEEE 802.11, foretelling the need for such applications, started the IEEE 802.11az work on Next Generation Posi...	[]	Train
22,371	10	Title: Where Would I Go Next? Large Language Models as Human Mobility Predictors Abstract: Accurate human mobility prediction underpins many important applications across a variety of domains, including epidemic modelling, transport planning, and emergency responses. Due to the sparsity of mobility data and the stochas...	[ 12128, 40192, 40610, 13700, 33220, 17606, 9907, 35580 ]	Train
22,372	16	Title: CosPGD: a unified white-box adversarial attack for pixel-wise prediction tasks Abstract: While neural networks allow highly accurate predictions in many tasks, their lack of robustness towards even slight input perturbations hampers their deployment in many real-world applications. Recent research towards evalua...	[ 22880, 33572, 16422, 19884, 23442, 43251, 39263 ]	Train
22,373	30	Title: A Systematic Analysis of Vocabulary and BPE Settings for Optimal Fine-tuning of NMT: A Case Study of In-domain Translation Abstract: The effectiveness of Neural Machine Translation (NMT) models largely depends on the vocabulary used at training; small vocabularies can lead to out-of-vocabulary problems -- large ...	[ 37192 ]	Train
22,374	30	Title: Loquacity and Visible Emotion: ChatGPT as a Policy Advisor Abstract: ChatGPT, a software seeking to simulate human conversational abilities, is attracting increasing attention. It is sometimes portrayed as a groundbreaking productivity aid, including for creative work. In this paper, we run an experiment to asse...	[ 19232, 634, 24308, 40693 ]	Train
22,375	36	Title: Regret Matching+: (In)Stability and Fast Convergence in Games Abstract: Regret Matching+ (RM+) and its variants are important algorithms for solving large-scale games. However, a theoretical understanding of their success in practice is still a mystery. Moreover, recent advances on fast convergence in games are ...	[ 21175 ]	Validation
22,376	16	Title: A Video Is Worth 4096 Tokens: Verbalize Story Videos To Understand Them In Zero Shot Abstract: Multimedia content, such as advertisements and story videos, exhibit a rich blend of creativity and multiple modalities. They incorporate elements like text, visuals, audio, and storytelling techniques, employing devic...	[ 10624, 969, 25071, 15632, 5969, 33464 ]	Validation
22,377	39	Title: PACE Solver Description: A Heuristic Directed Feedback Vertex Set Problem Algorithm Abstract: A feedback vertex set of a graph is a set of nodes with the property that every cycle contains at least one vertex from the set i.e. the removal of all vertices from a feedback vertex set leads to an acyclic graph. In t...	[]	Test

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