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
43,578	24	Title: One-step Multi-view Clustering with Diverse Representation Abstract: Multi-view clustering has attracted broad attention due to its capacity to utilize consistent and complementary information among views. Although tremendous progress has been made recently, most existing methods undergo high complexity, prevent...	[ 17297, 9491, 26373 ]	Train
43,579	28	Title: Joint Device Identification, Channel Estimation, and Signal Detection for LEO Satellite-Enabled Random Access Abstract: This paper investigates joint device identification, channel estimation, and signal detection for LEO satellite-enabled grant-free random access, where a multiple-input multipleoutput (MIMO) sy...	[]	Train
43,580	27	Title: The Quiet Eye Phenomenon in Minimally Invasive Surgery Abstract: In this paper, we report our discovery of a gaze behavior called Quiet Eye (QE) in minimally invasive surgery. The QE behavior has been extensively studied in sports training and has been associated with higher level of expertise in multiple sports...	[]	Train
43,581	4	Title: Homomorphically encrypted gradient descent algorithms for quadratic programming Abstract: In this paper, we evaluate the different fully homomorphic encryption schemes, propose an implementation, and numerically analyze the applicability of gradient descent algorithms to solve quadratic programming in a homomorp...	[]	Train
43,582	8	Title: Green Segment Routing for Improved Sustainability of Backbone Networks Abstract: Improving the energy efficiency of Internet Service Provider (ISP) backbone networks is an important objective for ISP operators. In these networks, the overall traffic load throughout the day can vary drastically, resulting in many...	[]	Train
43,583	16	Title: Impact of Video Processing Operations in Deepfake Detection Abstract: The detection of digital face manipulation in video has attracted extensive attention due to the increased risk to public trust. To counteract the malicious usage of such techniques, deep learning-based deepfake detection methods have been dev...	[]	Train
43,584	10	Title: MobileNMT: Enabling Translation in 15MB and 30ms Abstract: Deploying NMT models on mobile devices is essential for privacy, low latency, and offline scenarios. For high model capacity, NMT models are rather large. Running these models on devices is challenging with limited storage, memory, computation, and power...	[]	Train
43,585	30	Title: Exploring the In-context Learning Ability of Large Language Model for Biomedical Concept Linking Abstract: The biomedical field relies heavily on concept linking in various areas such as literature mining, graph alignment, information retrieval, question-answering, data, and knowledge integration. Although large...	[ 1923, 13700, 13510, 16556, 31375, 27282, 5815, 24760, 6942 ]	Validation
43,586	30	Title: Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning Abstract: Large language models have shown astonishing performance on a wide range of reasoning tasks. In this paper, we investigate whether they could reason about real-world events and help improve the prediction accuracy of event seq...	[ 45406, 30854, 33220, 29454 ]	Test
43,587	32	Title: The Awkward World of Python and C++ Abstract: There are undeniable benefits of binding Python and C++ to take advantage of the best features of both languages. This is especially relevant to the HEP and other scientific communities that have invested heavily in the C++ frameworks and are rapidly moving their dat...	[]	Validation
43,588	4	Title: Before Ethereum. The Origin and Evolution of Blockchain Oracles Abstract: Before the advent of alternative blockchains such as Ethereum, the future of decentralization was all in the hands of Bitcoin. Together with Nakamoto itself, early developers were trying to leverage Bitcoin’s potential to decentralize trad...	[]	Train
43,589	16	Title: OxfordTVG-HIC: Can Machine Make Humorous Captions from Images? Abstract: This paper presents OxfordTVG-HIC (Humorous Image Captions), a large-scale dataset for humour generation and understanding. Humour is an abstract, subjective, and context-dependent cognitive construct involving several cognitive factors, ma...	[]	Train
43,590	16	Title: Fine-grained Text-Video Retrieval with Frozen Image Encoders Abstract: State-of-the-art text-video retrieval (TVR) methods typically utilize CLIP and cosine similarity for efficient retrieval. Meanwhile, cross attention methods, which employ a transformer decoder to compute attention between each text query and ...	[ 10624, 23285, 15504, 32423 ]	Train
43,591	4	Title: Random Segmentation: New Traffic Obfuscation against Packet-Size-Based Side-Channel Attacks Abstract: Despite encryption, the packet size is still visible, enabling observers to infer private information in the Internet of Things (IoT) environment (e.g., IoT device identification). Packet padding obfuscates pack...	[]	Validation
43,592	10	Title: Level Assembly as a Markov Decision Process Abstract: Many games feature a progression of levels that doesn't adapt to the player. This can be problematic because some players may get stuck if the progression is too difficult, while others may find it boring if the progression is too slow to get to more challeng...	[]	Test
43,593	30	Title: ToMChallenges: A Principle-Guided Dataset and Diverse Evaluation Tasks for Exploring Theory of Mind Abstract: Theory of Mind (ToM), the capacity to comprehend the mental states of distinct individuals, is essential for numerous practical applications. With the development of large language models, there is a hea...	[ 9892, 16837, 36528, 8536, 21401 ]	Test
43,594	23	Title: SOBO: A Feedback Bot to Nudge Code Quality in Programming Courses Abstract: Recent research has shown the great potential of automatic feedback in education. This paper presents SOBO, a bot we designed to automatically provide feedback on code quality to undergraduate students. SOBO has been deployed in a course...	[]	Test
43,595	24	Title: FrAug: Frequency Domain Augmentation for Time Series Forecasting Abstract: Data augmentation (DA) has become a de facto solution to expand training data size for deep learning. With the proliferation of deep models for time series analysis, various time series DA techniques are proposed in the literature, e.g., ...	[]	Validation
43,596	16	Title: SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object Perimeters Abstract: Achieving high-quality semantic segmentation predictions using only image-level labels enables a new level of real-world applicability. Although state-of-the-art networks deliver reliable predictions, ...	[]	Validation
43,597	24	Title: One Neuron Saved Is One Neuron Earned: On Parametric Efficiency of Quadratic Networks Abstract: Inspired by neuronal diversity in the biological neural system, a plethora of studies proposed to design novel types of artificial neurons and introduce neuronal diversity into artificial neural networks. Recently pro...	[ 23323 ]	Train
43,598	8	Title: ENGNN: A General Edge-Update Empowered GNN Architecture for Radio Resource Management in Wireless Networks Abstract: In order to achieve high data rate and ubiquitous connectivity in future wireless networks, a key task is to efficiently manage the radio resource by judicious beamforming and power allocation. Un...	[]	Train
43,599	30	Title: Task-Optimized Adapters for an End-to-End Task-Oriented Dialogue System Abstract: Task-Oriented Dialogue (TOD) systems are designed to carry out specific tasks by tracking dialogue states and generating appropriate responses to help users achieve defined goals. Recently, end-to-end dialogue models pre-trained ba...	[ 6048, 18308, 38990, 21966, 19454 ]	Train
43,600	27	Title: Lighter-Than-Air Autonomous Ball Capture and Scoring Robot -- Design, Development, and Deployment Abstract: This paper describes the full end-to-end design of our primary scoring agent in an aerial autonomous robotics competition from April 2023. As open-ended robotics competitions become more popular, we wish t...	[]	Validation
43,601	11	Title: Pooled Grocery Delivery with Tight Deadlines from Multiple Depots Abstract: We study routing for on-demand last-mile logistics with two crucial novel features: i) Multiple depots, optimizing where to pick-up every order, ii) Allowing vehicles to perform depot returns prior to being empty, thus adapting their rou...	[]	Train
43,602	30	Title: RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs Abstract: Despite their unprecedented success, even the largest language models make mistakes.Similar to how humans learn and improve using feedback, previous work proposed providing language models with natural la...	[ 37411, 45923, 21190, 13257, 14219, 6962, 22578, 37267, 23159, 17789 ]	Validation
43,603	16	Title: UniHCP: A Unified Model for Human-Centric Perceptions Abstract: Human-centric perceptions (e.g., pose estimation, human parsing, pedestrian detection, person re-identification, etc.) play a key role in industrial applications of visual models. While specific human-centric tasks have their own relevant semantic a...	[]	Train
43,604	16	Title: MultiWay-Adapater: Adapting large-scale multi-modal models for scalable image-text retrieval Abstract: As the size of Large Multi-Modal Models (LMMs) increases consistently, the adaptation of these pre-trained models to specialized tasks has become a computationally and memory-intensive challenge. Traditional fi...	[ 10624 ]	Test
43,605	24	Title: Modeling and design of heterogeneous hierarchical bioinspired spider web structures using generative deep learning and additive manufacturing Abstract: Spider webs are incredible biological structures, comprising thin but strong silk filament and arranged into complex hierarchical architectures with striking mec...	[ 13510, 18615 ]	Test
43,606	16	Title: MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection Abstract: In the field of monocular 3D detection, it is common practice to utilize scene geometric clues to enhance the detector's performance. However, many existing works adopt these clues explicitly such as estimating a depth map and back-p...	[ 29716 ]	Test
43,607	16	Title: Polar-VQA: Visual Question Answering on Remote Sensed Ice sheet Imagery from Polar Region Abstract: For glaciologists, studying ice sheets from the polar regions is critical. With the advancement of deep learning techniques, we can now extract high-level information from the ice sheet data (e.g., estimating the ...	[]	Validation
43,608	24	Title: A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts Abstract: Machine learning methods strive to acquire a robust model during training that can generalize well to test samples, even under distribution shifts. However, these methods often suffer from a performance drop due to unknown test di...	[ 26113, 45958, 36105, 1930, 41354, 8332, 16782, 28176, 26258, 25107, 42004, 31893, 38933, 13465, 14618, 8603, 43933, 11170, 26404, 19365, 30884, 28719, 4275, 26803, 38843, 32448, 29251, 42564, 3662, 5713, 5204, 17876, 39381, 3291, 478, 19039, 14...	Train
43,609	10	Title: Think Outside the Code: Brainstorming Boosts Large Language Models in Code Generation Abstract: Code generation aims to automatically generate source code from high-level task specifications, which can significantly increase productivity of software engineering. Recently, approaches based on large language model...	[ 33220, 13510, 11190 ]	Train
43,610	16	Title: Sparsity and Coefficient Permutation Based Two-Domain AMP for Image Block Compressed Sensing Abstract: The learned denoising-based approximate message passing (LDAMP) algorithm has attracted great attention for image compressed sensing (CS) tasks. However, it has two issues: first, its global measurement model s...	[]	Train
43,611	16	Title: Contrastive Language-Image Pretrained (CLIP) Models are Powerful Out-of-Distribution Detectors Abstract: We present a comprehensive experimental study on pretrained feature extractors for visual out-of-distribution (OOD) detection. We examine several setups, based on the availability of labels or image captions ...	[ 7657, 37070 ]	Test
43,612	16	Title: Exploiting Neighborhood Structural Features for Change Detection Abstract: In this letter, a novel method for change detection is proposed using neighborhood structure correlation. Because structure features are insensitive to the intensity differences between bi-temporal images, we perform the correlation analy...	[]	Validation
43,613	23	Title: Exploring Gender Bias in Remote Pair Programming among Software Engineering Students: The twincode Original Study and First External Replication Abstract: Context. Software Engineering (SE) has low female representation due to gender bias that men are better at programming. Pair programming (PP) is common in ind...	[]	Train
43,614	27	Title: Tracker: Model-based Reinforcement Learning for Tracking Control of Human Finger Attached with Thin McKibben Muscles Abstract: To adopt the soft hand exoskeleton to support activities of daily livings, it is necessary to control finger joints precisely with the exoskeleton. The problem of controlling joints to f...	[]	Train
43,615	30	Title: Preference-grounded Token-level Guidance for Language Model Fine-tuning Abstract: Aligning language models (LMs) with preferences is an important problem in natural language generation. A key challenge is that preferences are typically provided at the sequence level while LM training and generation both occur at...	[ 23681, 4658, 5541, 7085 ]	Train
43,616	23	Title: DataRaceBench V1.4.1 and DataRaceBench-ML V0.1: Benchmark Suites for Data Race Detection Abstract: Data races pose a significant threat in multi-threaded parallel applications due to their negative impact on program correctness. DataRaceBench, an open-source benchmark suite, is specifically crafted to assess the...	[ 45395 ]	Validation
43,617	1	Title: LSCD: A Large-Scale Screen Content Dataset for Video Compression Abstract: Multimedia compression allows us to watch videos, see pictures and hear sounds within a limited bandwidth, which helps the flourish of the internet. During the past decades, multimedia compression has achieved great success using hand-cra...	[]	Train
43,618	16	Title: Self-Supervised Monocular Depth Estimation with Self-Reference Distillation and Disparity Offset Refinement Abstract: Monocular depth estimation plays a fundamental role in computer vision. Due to the costly acquisition of depth ground truth, self-supervised methods that leverage adjacent frames to establish a s...	[ 41125 ]	Train
43,619	10	Title: Non-deterministic approximation operators: ultimate operators, semi-equilibrium semantics and aggregates (full version) Abstract: Approximation fixpoint theory (AFT) is an abstract and general algebraic framework for studying the semantics of non-monotonic logics. In recent work, AFT was generalized to non-det...	[]	Train
43,620	16	Title: YODA: You Only Diffuse Areas. An Area-Masked Diffusion Approach For Image Super-Resolution Abstract: This work introduces"You Only Diffuse Areas"(YODA), a novel method for partial diffusion in Single-Image Super-Resolution (SISR). The core idea is to utilize diffusion selectively on spatial regions based on atte...	[]	Validation
43,621	27	Title: Implementation and analysis of Ryze Tello drone vision-based positioning using AprilTags Abstract: The paper describes the method of the Ryze Tello drone to move autonomously using a basic vision system. The drone's position is determined by identifying AprilTags' position relative to the drone's built-in camera...	[]	Validation
43,622	24	Title: A prediction and behavioural analysis of machine learning methods for modelling travel mode choice Abstract: nan	[]	Test
43,623	6	Title: Understanding Human Intervention in the Platform Economy: A case study of an indie food delivery service Abstract: This paper examines the sociotechnical infrastructure of an “indie” food delivery platform. The platform, Nosh, provides an alternative to mainstream services, such as Doordash and Uber Eats, in sev...	[ 14972, 10815 ]	Train
43,624	24	Title: Enhancing Clinical Predictive Modeling through Model Complexity-Driven Class Proportion Tuning for Class Imbalanced Data: An Empirical Study on Opioid Overdose Prediction Abstract: Class imbalance problems widely exist in the medical field and heavily deteriorates performance of clinical predictive models. Most ...	[]	Validation
43,625	3	Title: From Ukraine to the World: Using LinkedIn Data to Monitor Professional Migration from Ukraine Abstract: Highly skilled professionals’ forced migration from Ukraine was triggered by the conflict in Ukraine in 2014 and amplified by the Russian invasion in 2022. Here, we utilize LinkedIn estimates and official refu...	[ 4262 ]	Validation
43,626	16	Title: Matte Anything: Interactive Natural Image Matting with Segment Anything Models Abstract: Natural image matting algorithms aim to predict the transparency map (alpha-matte) with the trimap guidance. However, the production of trimaps often requires significant labor, which limits the widespread application of mat...	[ 6560, 12704, 44707, 13700, 33220, 16562, 11571, 14168, 34074, 35263 ]	Validation
43,627	27	Title: Ensemble Latent Space Roadmap for Improved Robustness in Visual Action Planning Abstract: Planning in learned latent spaces helps to decrease the dimensionality of raw observations. In this work, we propose to leverage the ensemble paradigm to enhance the robustness of latent planning systems. We rely on our Lat...	[]	Train
43,628	3	Title: Contextual Integrity of A Virtual (Reality) Classroom Abstract: The multicontextual nature of immersive VR makes it difficult to ensure contextual integrity of VR-generated information flows using existing privacy design and policy mechanisms. In this position paper, we call on the HCI community to do away with ...	[]	Train
43,629	24	Title: Convergence of AdaGrad for Non-convex Objectives: Simple Proofs and Relaxed Assumptions Abstract: We provide a simple convergence proof for AdaGrad optimizing non-convex objectives under only affine noise variance and bounded smoothness assumptions. The proof is essentially based on a novel auxiliary function $\...	[]	Test
43,630	16	Title: DarkVision: A Benchmark for Low-light Image/Video Perception Abstract: Imaging and perception in photon-limited scenarios is necessary for various applications, e.g., night surveillance or photography, high-speed photography, and autonomous driving. In these cases, cameras suf-fer from low signal-to-noise ratio,...	[ 17125 ]	Train
43,631	16	Title: Leveraging Expert Models for Training Deep Neural Networks in Scarce Data Domains: Application to Offline Handwritten Signature Verification Abstract: This paper introduces a novel approach to leverage the knowledge of existing expert models for training new Convolutional Neural Networks, on domains where task-s...	[]	Train
43,632	3	Title: Gamified Crowdsourcing as a Novel Approach to Lung Ultrasound Dataset Labeling Abstract: Study Objective: Machine learning models have advanced medical image processing and can yield faster, more accurate diagnoses. Despite a wealth of available medical imaging data, high-quality labeled data for model training ...	[]	Train
43,633	13	Title: Scalable Multiple Patterning Layout Decomposition Implemented by a Distribution Evolutionary Algorithm Abstract: As the feature size of semiconductor technology shrinks to 10 nm and beyond, the multiple patterning lithography (MPL) attracts more attention from the industry. In this paper, we model the layout dec...	[]	Train
43,634	16	Title: Enhancing ResNet Image Classification Performance by using Parameterized Hypercomplex Multiplication Abstract: Recently, many deep networks have introduced hypercomplex and related calculations into their architectures. In regard to convolutional networks for classification, these enhancements have been applied ...	[ 27834, 26444 ]	Test
43,635	15	Title: MemPool: A Scalable Manycore Architecture with a Low-Latency Shared L1 Memory Abstract: Shared L1 memory clusters are a common architectural pattern (e.g., in GPGPUs) for building efficient and flexible multi-processing-element (PE) engines. However, it is a common belief that these tightly-coupled clusters woul...	[ 27740 ]	Train
43,636	24	Title: Reinforcement Learning Approaches for Traffic Signal Control under Missing Data Abstract: The emergence of reinforcement learning (RL) methods in traffic signal control (TSC) tasks has achieved promising results. Most RL approaches require the observation of the environment for the agent to decide which action i...	[]	Train
43,637	30	Title: A Simple Explanation for the Phase Transition in Large Language Models with List Decoding Abstract: Various recent experimental results show that large language models (LLM) exhibit emergent abilities that are not present in small models. System performance is greatly improved after passing a certain critical th...	[]	Train
43,638	28	Title: Channel Estimation for Reconfigurable Intelligent Surface With a Few Active Elements Abstract: In this paper, a channel estimation technique for reconfigurable intelligent surface (RIS)-aided multi-user multiple-input single-output communication systems is proposed. By deploying a small number of active elements...	[]	Test
43,639	24	Title: Personalized Interpretable Classification Abstract: How to interpret a data mining model has received much attention recently, because people may distrust a black-box predictive model if they do not understand how the model works. Hence, it will be trustworthy if a model can provide transparent illustrations on ...	[]	Train
43,640	4	Title: Security in Distributed Systems by Verifiable Location-Based Identities Abstract: Proof-of-Location (PoL) is a lightweight security concept for Internet-of-Things (IoT) networks, focusing on the sensor nodes as the least performant and most vulnerable parts of IoT networks. PoL builds on the identification of ne...	[]	Test
43,641	30	Title: Llama 2: Open Foundation and Fine-Tuned Chat Models Abstract: In this work, we develop and release Llama 2, a collection of pretrained and fine-tuned large language models (LLMs) ranging in scale from 7 billion to 70 billion parameters. Our fine-tuned LLMs, called Llama 2-Chat, are optimized for dialogue use cas...	[ 514, 8707, 27140, 38405, 31238, 43014, 34826, 7695, 14865, 21012, 38423, 33817, 34843, 8734, 4639, 44063, 19492, 27685, 44068, 29223, 43559, 44584, 34347, 18991, 4658, 23602, 7732, 41010, 1594, 1595, 23102, 6719, 37438, 40010, 30801, 9810, 4257...	Train
43,642	24	Title: Unsupervised Driving Event Discovery Based on Vehicle CAN-data Abstract: The data collected from a vehicle's Controller Area Network (CAN) can quickly exceed human analysis or annotation capabilities when considering fleets of vehicles, which stresses the importance of unsupervised machine learning methods. This...	[]	Train
43,643	30	Title: Utilizing Lexical Similarity to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages Abstract: We address the task of machine translation from an extremely low-resource language (LRL) to English using cross-lingual transfer from a closely related high-resource language (HRL). For many of the...	[]	Test
43,644	10	Title: An Ecosystem for Personal Knowledge Graphs: A Survey and Research Roadmap Abstract: This paper presents an ecosystem for personal knowledge graphs (PKG), commonly defined as resources of structured information about entities related to an individual, their attributes, and the relations between them. PKGs are a k...	[]	Test
43,645	2	Title: Doxastic Lukasiewicz Logic with Public Announcement Abstract: In this paper, we propose a doxastic extension $BL^+$ of Lukasiewicz logic which is sound and complete relative to the introduced corresponding semantics. Also, we equip our doxastic Lukasiewicz logic $BL^+$ with public announcement and propose the lo...	[]	Train
43,646	30	Title: AMTSS: An Adaptive Multi-Teacher Single-Student Knowledge Distillation Framework For Multilingual Language Inference Abstract: Knowledge distillation is of key importance to launching multilingual pre-trained language models for real applications. To support cost-effective language inference in multilingual sett...	[]	Train
43,647	16	Title: Object Topological Character Acquisition by Inductive Learning Abstract: Understanding the shape and structure of objects is undoubtedly extremely important for object recognition, but the most common pattern recognition method currently used is machine learning, which often requires a large number of training d...	[]	Test
43,648	30	Title: Comparing Humans and Models on a Similar Scale: Towards Cognitive Gender Bias Evaluation in Coreference Resolution Abstract: Spurious correlations were found to be an important factor explaining model performance in various NLP tasks (e.g., gender or racial artifacts), often considered to be ''shortcuts'' to the...	[]	Validation
43,649	16	Title: DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration Abstract: Diffusion models have recently received a surge of interest due to their impressive performance for image restoration, especially in terms of noise robustness. However, existing diffusion-based methods ...	[ 8308, 500 ]	Train
43,650	16	Title: Motion-R3: Fast and Accurate Motion Annotation via Representation-based Representativeness Ranking Abstract: In this paper, we follow a data-centric philosophy and propose a novel motion annotation method based on the inherent representativeness of motion data in a given dataset. Specifically, we propose a Repre...	[]	Train
43,651	27	Title: Geometric Regularity with Robot Intrinsic Symmetry in Reinforcement Learning Abstract: Geometric regularity, which leverages data symmetry, has been successfully incorporated into deep learning architectures such as CNNs, RNNs, GNNs, and Transformers. While this concept has been widely applied in robotics to add...	[]	Validation
43,652	16	Title: Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies Abstract: Transformations based on domain expertise (expert transformations), such as random-resized-crop and color-jitter, have proven critical to the success of contrastive learning techniques such as SimCLR...	[]	Validation
43,653	3	Title: Securing Bystander Privacy in Mixed Reality While Protecting the User Experience Abstract: The modern Mixed Reality devices that make the Metaverse viable can also require vast information about the physical world. These devices can also violate the privacy of unsuspecting or unwilling bystanders in their vicini...	[]	Train
43,654	24	Title: Exploiting Multiple Abstractions in Episodic RL via Reward Shaping Abstract: One major limitation to the applicability of Reinforcement Learning (RL) to many practical domains is the large number of samples required to learn an optimal policy. To address this problem and improve learning efficiency, we consider ...	[]	Test
43,655	16	Title: Context Understanding in Computer Vision: A Survey Abstract: nan	[]	Train
43,656	16	Title: LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration Abstract: Despite significant advances in deep learning, models often struggle to generalize well to new, unseen domains, especially when training data is limited. To address this challenge, we propose a novel approa...	[]	Validation
43,657	4	Title: PTTS: Zero-Knowledge Proof-based Private Token Transfer System on Ethereum Blockchain and its Network Flow Based Balance Range Privacy Attack Analysis Abstract: Blockchains are decentralized and immutable databases that are shared among the nodes of the network. Although blockchains have attracted a great scale ...	[]	Train
43,658	24	Title: Why Shallow Networks Struggle with Approximating and Learning High Frequency: A Numerical Study Abstract: In this work, a comprehensive numerical study involving analysis and experiments shows why a two-layer neural network has difficulties handling high frequencies in approximation and learning when machine pre...	[ 14746, 5990 ]	Test
43,659	30	Title: Structural Ambiguity and its Disambiguation in Language Model Based Parsers: the Case of Dutch Clause Relativization Abstract: This paper addresses structural ambiguity in Dutch relative clauses. By investigating the task of disambiguation by grounding, we study how the presence of a prior sentence can resolve r...	[]	Train
43,660	27	Title: PKE-RRT: Efficient Multi-Goal Path Finding Algorithm Driven by Multi-Task Learning Model Abstract: Multi-goal path finding (MGPF) aims to find a closed and collision-free path to visit a sequence of goals orderly. As a physical travelling salesman problem, an undirected complete graph with accurate weights is cr...	[]	Validation
43,661	20	Title: Computing Zigzag Vineyard Efficiently Including Expansions and Contractions Abstract: Vines and vineyard connecting a stack of persistence diagrams have been introduced in the non-zigzag setting by Cohen-Steiner et al. We consider computing these vines over changing filtrations for zigzag persistence while incor...	[ 8997 ]	Train
43,662	27	Title: Shared Information-Based Safe And Efficient Behavior Planning For Connected Autonomous Vehicles Abstract: The recent advancements in wireless technology enable connected autonomous vehicles (CAVs) to gather data via vehicle-to-vehicle (V2V) communication, such as processed LIDAR and camera data from other vehicl...	[]	Train
43,663	24	Title: Autonomous Payload Thermal Control Abstract: In small satellites there is less room for heat control equipment, scientific instruments, and electronic components. Furthermore, the near proximity of the electronics makes power dissipation difficult, with the risk of not being able to control the temperature appro...	[]	Validation
43,664	28	Title: Outage and DMT Analysis of Partition-Based Schemes for RIS-Aided MIMO Fading Channels Abstract: In this paper, we investigate the performance of multiple-input multiple-output (MIMO) fading channels assisted by a reconfigurable intelligent surface (RIS), through the employment of partition-based RIS schemes. The...	[]	Train
43,665	16	Title: NLLB-CLIP - train performant multilingual image retrieval model on a budget Abstract: Today, the exponential rise of large models developed by academic and industrial institutions with the help of massive computing resources raises the question of whether someone without access to such resources can make a valua...	[ 35, 39628 ]	Validation
43,666	16	Title: Ins-ATP: Deep Estimation of ATP for Organoid Based on High Throughput Microscopic Images Abstract: Adenosine triphosphate (ATP) is a high-energy phosphate compound and the most direct energy source in organisms. ATP is an essential biomarker for evaluating cell viability in biology. Researchers often use ATP bio...	[ 15270 ]	Validation
43,667	30	Title: Causal interventions expose implicit situation models for commonsense language understanding Abstract: Accounts of human language processing have long appealed to implicit ``situation models'' that enrich comprehension with relevant but unstated world knowledge. Here, we apply causal intervention techniques to r...	[ 40691, 22133, 29583 ]	Train
43,668	30	Title: Augmented Large Language Models with Parametric Knowledge Guiding Abstract: Large Language Models (LLMs) have significantly advanced natural language processing (NLP) with their impressive language understanding and generation capabilities. However, their performance may be suboptimal for domain-specific tasks t...	[ 7936, 13345, 14592, 33220, 13700, 45242, 9518, 27281, 6963, 27669, 14966, 12087, 32213, 3609, 38102, 41239 ]	Validation
43,669	27	Title: CoBaIR: A Python Library for Context-Based Intention Recognition in Human-Robot-Interaction Abstract: Human-Robot Interaction (HRI) becomes more and more important in a world where robots integrate fast in all aspects of our lives but HRI applications depend massively on the utilized robotic system as well as th...	[ 13700 ]	Train
43,670	8	Title: Multi-Channel Operation for the Release 2 of ETSI Cooperative Intelligent Transport Systems Abstract: Vehicles and road infrastructure are starting to be equipped with vehicle-to-everything (V2X) communication solutions to increase road safety and provide new services to drivers and passengers. In Europe, the de...	[]	Train
43,671	16	Title: Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models Abstract: The advent of large pre-trained models has brought about a paradigm shift in both visual representation learning and natural language processing. However, clustering unlabeled images, as a fundamental and classic machi...	[ 4643, 1423, 42895, 19410, 16596, 33180 ]	Test
43,672	30	Title: In-Context Alignment: Chat with Vanilla Language Models Before Fine-Tuning Abstract: In this note, we explore inference-time alignment through in-context learning. We consider a vanilla pretrained language model Llama-2 before any fine-tuning and retrieve an average of 9 demonstration alignment examples when the...	[ 13700, 33220, 36179, 12628, 5815, 6328, 43641 ]	Validation
43,673	16	Title: Explicifying Neural Implicit Fields for Efficient Dynamic Human Avatar Modeling via a Neural Explicit Surface Abstract: This paper proposes a technique for efficiently modeling dynamic humans by explicifying the implicit neural fields via a Neural Explicit Surface (NES). Implicit neural fields have advantages ov...	[ 43296 ]	Train
43,674	23	Title: Online Name-Based Navigation for Software Meta-languages Abstract: Software language design and implementation often involve specifications written in various esoteric meta-languages. Language workbenches generally include support for precise name-based navigation when browsing language specifications locally, b...	[ 27714 ]	Train
43,675	30	Title: A cross-institutional evaluation on breast cancer phenotyping NLP algorithms on electronic health records Abstract: nan	[ 38737 ]	Train
43,676	38	Title: Enriching the scholarly metadata commons with citation metadata and spatio-temporal metadata to support responsible research assessment and research discovery Abstract: In this article, we focus on the importance of open research information as the foundation for transparent and responsible research assessment a...	[]	Validation
43,677	16	Title: JetSeg: Efficient Real-Time Semantic Segmentation Model for Low-Power GPU-Embedded Systems Abstract: Real-time semantic segmentation is a challenging task that requires high-accuracy models with low-inference times. Implementing these models on embedded systems is limited by hardware capability and memory usage,...	[]	Validation

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