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
23,778	16	Title: Gaze Estimation on Spresense Abstract: Gaze estimation is a valuable technology with numerous applications in fields such as human-computer interaction, virtual reality, and medicine. This report presents the implementation of a gaze estimation system using the Sony Spresense microcontroller board and explores i...	[ 14761 ]	Train
23,779	8	Title: Seamless Redundancy for High Reliability Wi-Fi Abstract: By removing wire harness, Wi-Fi is becoming increasingly pervasive in every aspect of our lives, in both the consumer and industrial worlds. Besides flexibility, the recent high efficiency and extremely high throughput versions managed to close the perform...	[]	Train
23,780	27	Title: S-Nav: Semantic-Geometric Planning for Mobile Robots Abstract: Path planning is a basic capability of autonomous mobile robots. Former approaches in path planning exploit only the given geometric information from the environment without leveraging the inherent semantics within the environment. The recently prese...	[ 37834 ]	Train
23,781	30	Title: Embedding structure matters: Comparing methods to adapt multilingual vocabularies to new languages Abstract: Pre-trained multilingual language models underpin a large portion of modern NLP tools outside of English. A strong baseline for specializing these models for specific languages is Language-Adaptive Pre-Tr...	[ 7508, 41013 ]	Test
23,782	1	Title: Noise-Resistant Multimodal Transformer for Emotion Recognition Abstract: Multimodal emotion recognition identifies human emotions from various data modalities like video, text, and audio. However, we found that this task can be easily affected by noisy information that does not contain useful semantics. To this ...	[]	Train
23,783	36	Title: Dividing Good and Better Items Among Agents with Bivalued Submodular Valuations Abstract: We study the problem of fairly allocating a set of indivisible goods among agents with {\em bivalued submodular valuations} -- each good provides a marginal gain of either $a$ or $b$ ($a<b$) and goods have decreasing margin...	[]	Train
23,784	24	Title: Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos Abstract: We present the Physics-Informed Long Short-Term Memory (PI-LSTM) network to reconstruct and predict the evolution of unmeasured variables in a chaotic system. The training is constrained by a regularization term, which ...	[]	Validation
23,785	24	Title: Fast and Multi-aspect Mining of Complex Time-stamped Event Streams Abstract: Given a huge, online stream of time-evolving events with multiple attributes, such as online shopping logs: (item, price, brand, time), how can we summarize large, dynamic high-order tensor streams? How can we see any hidden patterns, r...	[]	Test
23,786	24	Title: A Unified Single-stage Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-weighted MRI Abstract: Diffusion-weighted (DW) MRI measures the direction and scale of the local diffusion process in every voxel through its spectrum in q-space, typically acquire...	[]	Train
23,787	24	Title: Group conditional validity via multi-group learning Abstract: We consider the problem of distribution-free conformal prediction and the criterion of group conditional validity. This criterion is motivated by many practical scenarios including hidden stratification and group fairness. Existing methods achieve suc...	[ 99 ]	Train
23,788	31	Title: Rethinking the Role of Pre-ranking in Large-scale E-Commerce Searching System Abstract: E-commerce search systems such as Taobao Search, the largest e-commerce searching system in China, aim at providing users with the most preferred items (e.g., products). Due to the massive data and limited time for response, ...	[]	Train
23,789	27	Title: Reactive Task Allocation for Balanced Servicing of Multiple Task Queues Abstract: In this article, we propose a reactive task allocation architecture for a multi-agent system for scenarios where the tasks arrive at random times and are grouped into multiple queues. Two stage tasks are considered where every task...	[]	Train
23,790	4	Title: Detecting Anomalous Microflows in IoT Volumetric Attacks via Dynamic Monitoring of MUD Activity Abstract: IoT networks are increasingly becoming target of sophisticated new cyber-attacks. Anomaly-based detection methods are promising in finding new attacks, but there are certain practical challenges like false-p...	[]	Validation
23,791	26	Title: Stochastic Step-wise Feature Selection for Exponential Random Graph Models (ERGMs) Abstract: Statistical analysis of social networks provides valuable insights into complex network interactions across various scientific disciplines. However, accurate modeling of networks remains challenging due to the heavy comp...	[]	Train
23,792	25	Title: NAS-FM: Neural Architecture Search for Tunable and Interpretable Sound Synthesis based on Frequency Modulation Abstract: Developing digital sound synthesizers is crucial to the music industry as it provides a low-cost way to produce high-quality sounds with rich timbres. Existing traditional synthesizers often r...	[ 19170 ]	Validation
23,793	2	Title: A Fibrational Tale of Operational Logical Relations: Pure, Effectful and Differential Abstract: Logical relations built on top of an operational semantics are one of the most successful proof methods in programming language semantics. In recent years, more and more expressive notions of operationally-based logic...	[]	Validation
23,794	28	Title: On the performance of an integrated communication and localization system: an analytical framework Abstract: Quantifying the performance bound of an integrated localization and communication (ILAC) system and the trade-off between communication and localization performance is critical. In this letter, we conside...	[]	Validation
23,795	8	Title: SpaceRIS: LEO Satellite Coverage Maximization in 6G Sub-THz Networks by MAPPO DRL and Whale Optimization Abstract: Satellite systems face a significant challenge in effectively utilizing limited communication resources to meet the demands of ground network traffic, characterized by asymmetrical spatial distribut...	[]	Train
23,796	16	Title: Frequency and Scale Perspectives of Feature Extraction Abstract: Convolutional neural networks (CNNs) have achieved superior performance but still lack clarity about the nature and properties of feature extraction. In this paper, by analyzing the sensitivity of neural networks to frequencies and scales, we find ...	[]	Train
23,797	30	Title: Developing and Evaluating Tiny to Medium-Sized Turkish BERT Models Abstract: This study introduces and evaluates tiny, mini, small, and medium-sized uncased Turkish BERT models, aiming to bridge the research gap in less-resourced languages. We trained these models on a diverse dataset encompassing over 75GB of t...	[]	Test
23,798	24	Title: Stability of implicit neural networks for long-term forecasting in dynamical systems Abstract: Forecasting physical signals in long time range is among the most challenging tasks in Partial Differential Equations (PDEs) research. To circumvent limitations of traditional solvers, many different Deep Learning meth...	[]	Test
23,799	39	Title: Complexity Dichotomies for the Maximum Weighted Digraph Partition Problem Abstract: We introduce and study a new optimization problem on digraphs, termed Maximum Weighted Digraph Partition (MWDP) problem. We prove three complexity dichotomies for MWDP: on arbitrary digraphs, on oriented digraphs, and on symmetri...	[ 32497 ]	Validation
23,800	13	Title: Doubly Stochastic Matrix Models for Estimation of Distribution Algorithms Abstract: Problems with solutions represented by permutations are very prominent in combinatorial optimization. Thus, in recent decades, a number of evolutionary algorithms have been proposed to solve them, and among them, those based on p...	[]	Train
23,801	30	Title: Extracting detailed oncologic history and treatment plan from medical oncology notes with large language models Abstract: Both medical care and observational studies in oncology require a thorough understanding of a patient's disease progression and treatment history, often elaborately documented in clinical not...	[ 42908, 13700, 15301 ]	Validation
23,802	16	Title: Small, but important: Traffic light proposals for detecting small traffic lights and beyond Abstract: Traffic light detection is a challenging problem in the context of self-driving cars and driver assistance systems. While most existing systems produce good results on large traffic lights, detecting small and t...	[]	Train
23,803	24	Title: Cut your Losses with Squentropy Abstract: Nearly all practical neural models for classification are trained using cross-entropy loss. Yet this ubiquitous choice is supported by little theoretical or empirical evidence. Recent work (Hui&Belkin, 2020) suggests that training using the (rescaled) square loss is ofte...	[ 43225 ]	Validation
23,804	24	Title: One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention Abstract: Recent works have empirically analyzed in-context learning and shown that transformers trained on synthetic linear regression tasks can learn to implement ridge regression, which is the Bayes...	[ 25833, 3795, 41390, 5510 ]	Train
23,805	24	Title: Large Graph Models: A Perspective Abstract: Large models have emerged as the most recent groundbreaking achievements in artificial intelligence, and particularly machine learning. However, when it comes to graphs, large models have not achieved the same level of success as in other fields, such as natural langua...	[ 40192, 1292, 35597, 4110, 31375, 17299, 33817, 26268, 4387, 39331, 18085, 39602, 21299, 6453, 14647, 16953, 11323, 23233, 6979, 33220, 18117, 31045, 43718, 45131, 25936, 36569, 11612, 15325, 45278, 32869, 23398, 31215, 9841, 30194, 23156, 24308, ...	Test
23,806	24	Title: Is Pre-training Truly Better Than Meta-Learning? Abstract: In the context of few-shot learning, it is currently believed that a fixed pre-trained (PT) model, along with fine-tuning the final layer during evaluation, outperforms standard meta-learning algorithms. We re-evaluate these claims under an in-depth empi...	[ 38338 ]	Validation
23,807	24	Title: ChiPFormer: Transferable Chip Placement via Offline Decision Transformer Abstract: Placement is a critical step in modern chip design, aiming to determine the positions of circuit modules on the chip canvas. Recent works have shown that reinforcement learning (RL) can improve human performance in chip placement....	[ 39521, 17122, 31107, 21586, 4915, 42140, 17631 ]	Train
23,808	4	Title: Adaptive White-Box Watermarking with Self-Mutual Check Parameters in Deep Neural Networks Abstract: Artificial Intelligence (AI) has found wide application, but also poses risks due to unintentional or malicious tampering during deployment. Regular checks are therefore necessary to detect and prevent such risks....	[]	Test
23,809	24	Title: Classified as unknown: A novel Bayesian neural network Abstract: We establish estimations for the parameters of the output distribution for the softmax activation function using the probit function. As an application, we develop a new efficient Bayesian learning algorithm for fully connected neural networks, whe...	[]	Validation
23,810	24	Title: Geometry-Complete Diffusion for 3D Molecule Generation and Optimization Abstract: Denoising diffusion probabilistic models (DDPMs) have recently taken the field of generative modeling by storm, pioneering new state-of-the-art results in disciplines such as computer vision and computational biology for diverse ta...	[ 20809, 12378 ]	Train
23,811	30	Title: SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains Abstract: Prompting pre-trained language models leads to promising results across natural language processing tasks but is less effective when applied in low-resource domains, due to the domain gap between the pr...	[ 42713 ]	Train
23,812	4	Title: Citadel: Self-Sovereign Identities on Dusk Network Abstract: The amount of sensitive information that service providers handle about their users has become a concerning fact in many use cases, where users have no other option but to trust that those companies will not misuse their personal information. To solve ...	[]	Train
23,813	16	Title: Multi-modal Pre-training for Medical Vision-language Understanding and Generation: An Empirical Study with A New Benchmark Abstract: With the availability of large-scale, comprehensive, and general-purpose vision-language (VL) datasets such as MSCOCO, vision-language pre-training (VLP) has become an active area ...	[]	Validation
23,814	28	Title: Nonnegative matrix factorization for coherent set identification by direct low rank maximum likelihood estimation Abstract: We analyze connections between two low rank modeling approaches from the last decade for treating dynamical data. The first one is the coherence problem (or coherent set approach), where gr...	[]	Validation
23,815	16	Title: The Second Monocular Depth Estimation Challenge Abstract: This paper discusses the results for the second edition of the Monocular Depth Estimation Challenge (MDEC). This edition was open to methods using any form of supervision, including fully-supervised, self-supervised, multi-task or proxy depth. The challen...	[ 23713, 27368, 33936, 29873, 36830 ]	Test
23,816	10	Title: The Fifteen Puzzle- A New Approach through Hybridizing Three Heuristics Methods Abstract: The Fifteen Puzzle problem is one of the most classical problems that has captivated mathematics enthusiasts for centuries. This is mainly because of the huge size of the state space with approximately 1013 states that have...	[]	Validation
23,817	24	Title: Learning to Decouple Complex Systems Abstract: A complex system with cluttered observations may be a coupled mixture of multiple simple sub-systems corresponding to latent entities. Such sub-systems may hold distinct dynamics in the continuous-time domain; therein, complicated interactions between sub-systems al...	[]	Train
23,818	16	Title: Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images Abstract: Unified panoptic segmentation methods are achieving state-of-the-art results on several datasets. To achieve these results on high-resolution datasets, these methods apply crop-based training. In this work, we find that, althou...	[ 18112, 2713 ]	Test
23,819	30	Title: Learning to Generate Novel Scientific Directions with Contextualized Literature-based Discovery Abstract: Literature-Based Discovery (LBD) aims to discover new scientific knowledge by mining papers and generating hypotheses. Standard LBD is limited to predicting pairwise relations between discrete concepts (e.g....	[ 9075, 13510, 4270 ]	Train
23,820	23	Title: Using causal inference and Bayesian statistics to explain the capability of a test suite in exposing software faults Abstract: Test effectiveness refers to the capability of a test suite in exposing faults in software. It is crucial to be aware of factors that influence this capability. We aim at inferring the c...	[]	Train
23,821	4	Title: PHOENI2X – A European Cyber Resilience Framework With Artificial-Intelligence-Assisted Orchestration, Automation & Response Capabilities for Business Continuity and Recovery, Incident Response, and Information Exchange Abstract: As digital technologies become more pervasive in society and the economy, cyber-secu...	[]	Test
23,822	24	Title: Bias Amplification Enhances Minority Group Performance Abstract: Neural networks produced by standard training are known to suffer from poor accuracy on rare subgroups despite achieving high accuracy on average, due to the correlations between certain spurious features and labels. Previous approaches based on wo...	[]	Train
23,823	30	Title: Long-Tailed Question Answering in an Open World Abstract: Real-world data often have an open long-tailed distribution, and building a unified QA model supporting various tasks is vital for practical QA applications.However, it is non-trivial to extend previous QA approaches since they either require access to se...	[ 3107 ]	Train
23,824	16	Title: Multiverse Transformer: 1st Place Solution for Waymo Open Sim Agents Challenge 2023 Abstract: This technical report presents our 1st place solution for the Waymo Open Sim Agents Challenge (WOSAC) 2023. Our proposed MultiVerse Transformer for Agent simulation (MVTA) effectively leverages transformer-based motion ...	[ 27849, 11454, 9743 ]	Validation
23,825	24	Title: Large-scale End-of-Life Prediction of Hard Disks in Distributed Datacenters Abstract: On a daily basis, data centers process huge volumes of data backed by the proliferation of inexpensive hard disks. Data stored in these disks serve a range of critical functional needs from financial, and healthcare to aerospac...	[ 27133 ]	Validation
23,826	24	Title: Should ChatGPT and Bard Share Revenue with Their Data Providers? A New Business Model for the AI Era Abstract: With various AI tools such as ChatGPT becoming increasingly convenient and popular, we are entering a true AI era. We can foresee that exceptional AI tools will soon reap considerable profits. A crucial...	[ 32944, 13700, 12954, 24308 ]	Train
23,827	31	Title: Towards Filling the Gap in Conversational Search: From Passage Retrieval to Conversational Response Generation Abstract: Research on conversational search has so far mostly focused on query rewriting and multi-stage passage retrieval. However, synthesizing the top retrieved passages into a complete, relevant, an...	[]	Validation
23,828	27	Title: Extended Preintegration for Relative State Estimation of Leader-Follower Platform Abstract: Relative state estimation using exteroceptive sensors suffers from limitations of the field of view (FOV) and false detection, that the proprioceptive sensor (IMU) data are usually engaged to compensate. Recently ego-moti...	[]	Train
23,829	16	Title: Scenimefy: Learning to Craft Anime Scene via Semi-Supervised Image-to-Image Translation Abstract: Automatic high-quality rendering of anime scenes from complex real-world images is of significant practical value. The challenges of this task lie in the complexity of the scenes, the unique features of anime style,...	[]	Train
23,830	34	Title: Advances on Strictly $\Delta$-Modular IPs Abstract: There has been significant work recently on integer programs (IPs) $\min\{c^\top x \colon Ax\leq b,\,x\in \mathbb{Z}^n\}$ with a constraint marix $A$ with bounded subdeterminants. This is motivated by a well-known conjecture claiming that, for any constant $\De...	[]	Train
23,831	24	Title: Pruning at Initialization - A Sketching Perspective Abstract: The lottery ticket hypothesis (LTH) has increased attention to pruning neural networks at initialization. We study this problem in the linear setting. We show that finding a sparse mask at initialization is equivalent to the sketching problem introduc...	[ 39588 ]	Train
23,832	30	Title: Divide and Prompt: Chain of Thought Prompting for Text-to-SQL Abstract: Chain-of-thought (CoT) prompting combined with large language models (LLMs) have achieved encouraging results on complex reasoning tasks. Text-to-SQL is a critical semantic parsing task that converts natural language questions into SQL state...	[ 37957, 36494, 1326, 3795, 17789 ]	Train
23,833	27	Title: Quadratic Programming-based Reference Spreading Control for Dual-Arm Robotic Manipulation with Planned Simultaneous Impacts Abstract: With the aim of further enabling the exploitation of intentional impacts in robotic manipulation, a control framework is presented that directly tackles the challenges posed by tr...	[]	Train
23,834	34	Title: Evaluating Stability in Massive Social Networks: Efficient Streaming Algorithms for Structural Balance Abstract: Structural balance theory studies stability in networks. Given a $n$-vertex complete graph $G=(V,E)$ whose edges are labeled positive or negative, the graph is considered \emph{balanced} if every tria...	[]	Train
23,835	4	Title: A Survey on the Geographic Diversity of Usable Privacy and Security Research Abstract: In human factor fields such as human-computer interaction (HCI), psychology, and behavioral sciences, researchers have been concerned that participant samples are skewed toward WEIRD, i.e., participants mostly come from Wester...	[]	Test
23,836	30	Title: GPT-FinRE: In-context Learning for Financial Relation Extraction using Large Language Models Abstract: Relation extraction (RE) is a crucial task in natural language processing (NLP) that aims to identify and classify relationships between entities mentioned in text. In the financial domain, relation extraction ...	[ 42393, 38262, 3795, 40158 ]	Test
23,837	23	Title: The Scope of ChatGPT in Software Engineering: A Thorough Investigation Abstract: ChatGPT demonstrates immense potential to transform software engineering (SE) by exhibiting outstanding performance in tasks such as code and document generation. However, the high reliability and risk control requirements of SE mak...	[ 33220, 7942, 4902, 31817, 39466, 25227, 39826, 40565, 11190, 4823, 7611 ]	Validation
23,838	24	Title: LoRaWAN-enabled Smart Campus: The Dataset and a People Counter Use Case Abstract: IoT has a significant role in the smart campus. This paper presents a detailed description of the Smart Campus dataset based on LoRaWAN. LoRaWAN is an emerging technology that enables serving hundreds of IoT devices. First, we desc...	[]	Train
23,839	24	Title: Virtual Node Tuning for Few-shot Node Classification Abstract: Few-shot Node Classification (FSNC) is a challenge in graph representation learning where only a few labeled nodes per class are available for training. To tackle this issue, meta-learning has been proposed to transfer structural knowledge from base ...	[ 4110 ]	Train
23,840	16	Title: MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation Abstract: Recently, semantic segmentation models trained with image-level text supervision have shown promising results in challenging open-world scenarios. However, these models still face difficulties i...	[ 41273 ]	Train
23,841	24	Title: Shift-Robust Molecular Relational Learning with Causal Substructure Abstract: Recently, molecular relational learning, whose goal is to predict the interaction behavior between molecular pairs, got a surge of interest in molecular sciences due to its wide range of applications. In this work, we propose CMRL that...	[]	Train
23,842	16	Title: Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection Abstract: Semantically coherent out-of-distribution (SCOOD) detection aims to discern outliers from the intended data distribution with access to unlabeled extra set. The coexistence of in-distribution and out-of-distribu...	[]	Test
23,843	24	Title: Predict NAS Multi-Task by Stacking Ensemble Models using GP-NAS Abstract: Accurately predicting the performance of architecture with small sample training is an important but not easy task. How to analysis and train dataset to overcome overfitting is the core problem we should deal with. Meanwhile if there is th...	[]	Test
23,844	24	Title: Reproducibility Requires Consolidated Artifacts Abstract: Machine learning is facing a ‘reproducibility crisis’ where a significant number of works report failures when attempting to reproduce previously published results. We evaluate the sources of reproducibility failures using a meta-analysis of 142 replicati...	[]	Validation
23,845	28	Title: Hierarchical Codebook Design and Analytical Beamforming Solution for IRS Assisted Communication Abstract: In intelligent reflecting surface (IRS) assisted communication, beam search is usually time-consuming as the multiple-input multiple-output (MIMO) of IRS is usually very large. Hierarchical codebooks is a wi...	[]	Test
23,846	30	Title: Re-visiting Automated Topic Model Evaluation with Large Language Models Abstract: Topic models are used to make sense of large text collections. However, automatically evaluating topic model output and determining the optimal number of topics both have been longstanding challenges, with no effective automated so...	[ 38208, 41871, 29072, 39642, 3963 ]	Train
23,847	6	Title: Developing A Personal Decision Support Tool for Hospital Capacity Assessment and Querying Abstract: This article showcases a personal decision support tool (PDST) called HOPLITE, for performing insightful and actionable quantitative assessments of hospital capacity, to support hospital planners and health care m...	[]	Test
23,848	28	Title: Achievable Sum Rate Optimization on NOMA-aided Cell-Free Massive MIMO with Finite Blocklength Coding Abstract: Non-orthogonal multiple access (NOMA)-aided cell-free massive multiple-input multiple-output (CFmMIMO) has been considered as a promising technology to fulfill strict quality of service requirements for...	[]	Test
23,849	24	Title: ActiveLab: Active Learning with Re-Labeling by Multiple Annotators Abstract: In real-world data labeling applications, annotators often provide imperfect labels. It is thus common to employ multiple annotators to label data with some overlap between their examples. We study active learning in such settings, aimi...	[]	Validation
23,850	16	Title: Scalable Performance Analysis for Vision-Language Models Abstract: Joint vision-language models have shown great performance over a diverse set of tasks. However, little is known about their limitations, as the high dimensional space learned by these models makes it difficult to identify semantic errors. Recent ...	[]	Validation
23,851	27	Title: Virtual Inverse Perspective Mapping for Simultaneous Pose and Motion Estimation Abstract: We propose an automatic method for pose and motion estimation against a ground surface for a ground-moving robot-mounted monocular camera. The framework adopts a semi-dense approach that benefits from both a feature-based m...	[]	Test
23,852	4	Title: New intelligent defense systems to reduce the risks of Selfish Mining and Double-Spending attacks using Learning Automata Abstract: In this paper, we address the critical challenges of double-spending and selfish mining attacks in blockchain-based digital currencies. Double-spending is a problem where the same t...	[ 1868, 38285 ]	Train
23,853	23	Title: Towards Autonomous Testing Agents via Conversational Large Language Models Abstract: Software testing is an important part of the development cycle, yet it requires specialized expertise and substantial developer effort to adequately test software. Recent discoveries of the capabilities of large language models ...	[ 40610, 33477, 13510, 31238, 16556, 37742, 19315, 18772, 11190, 35580, 36159 ]	Train
23,854	16	Title: Multi-Modality Guidance Network For Missing Modality Inference Abstract: Multimodal models have gained significant success in recent years. Standard multimodal approaches often assume unchanged modalities from training stage to inference stage. In practice, however, many scenarios fail to satisfy such assumption...	[ 42983 ]	Validation
23,855	27	Title: Channel-Aware Distillation Transformer for Depth Estimation on Nano Drones Abstract: Autonomous navigation of drones using computer vision has achieved promising performance. Nano-sized drones based on edge computing platforms are lightweight, flexible, and cheap, thus suitable for exploring narrow spaces. Howev...	[]	Validation
23,856	30	Title: An ontology-aided, natural language-based approach for multi-constraint BIM model querying Abstract: Being able to efficiently retrieve the required building information is critical for construction project stakeholders to carry out their engineering and management activities. Natural language interface (NLI) sy...	[]	Train
23,857	5	Title: Partitioner Selection with EASE to Optimize Distributed Graph Processing Abstract: For distributed graph processing on massive graphs, a graph is partitioned into multiple equally-sized parts which are distributed among machines in a compute cluster. In the last decade, many partitioning algorithms have been dev...	[ 33864, 11091 ]	Train
23,858	23	Title: Wait, wasn't that code here before? Detecting Outdated Software Documentation Abstract: Encountering outdated documentation is not a rare occurrence for developers and users in the software engineering community. To ensure that software documentation is up-to-date, developers often have to manually check whether...	[]	Validation
23,859	10	Title: Policy Expansion for Bridging Offline-to-Online Reinforcement Learning Abstract: Pre-training with offline data and online fine-tuning using reinforcement learning is a promising strategy for learning control policies by leveraging the best of both worlds in terms of sample efficiency and performance. One natura...	[ 15201, 4002, 44513, 31505, 28084, 1819 ]	Train
23,860	30	Title: Stylized Data-to-Text Generation: A Case Study in the E-Commerce Domain Abstract: Existing data-to-text generation efforts mainly focus on generating a coherent text from non-linguistic input data, such as tables and attribute-value pairs, but overlook that different application scenarios may require texts of di...	[ 31771 ]	Train
23,861	24	Title: Short-Term Electricity Load Forecasting Using the Temporal Fusion Transformer: Effect of Grid Hierarchies and Data Sources Abstract: Recent developments related to the energy transition pose particular challenges for distribution grids. Hence, precise load forecasts become more and more important for effective g...	[ 24605 ]	Train
23,862	13	Title: Improving Reliability of Spiking Neural Networks through Fault Aware Threshold Voltage Optimization Abstract: Spiking neural networks have made breakthroughs in computer vision by lending themselves to neuromorphic hardware. However, the neuromorphic hardware lacks parallelism and hence, limits the throughput an...	[]	Train
23,863	30	Title: Learning Representations on Logs for AIOps Abstract: AI for IT Operations (AIOps) is a powerful platform that Site Reliability Engineers (SREs) use to automate and streamline operational workflows with minimal human intervention. Automated log analysis is a critical task in AIOps as it provides key insights for ...	[ 6942 ]	Train
23,864	16	Title: Divide and Adapt: Active Domain Adaptation via Customized Learning Abstract: Active domain adaptation (ADA) aims to improve the model adaptation performance by incorporating active learning (AL) techniques to label a maximally-informative subset of target samples. Conventional AL methods do not consider the exis...	[]	Train
23,865	24	Title: Hiding Data Helps: On the Benefits of Masking for Sparse Coding Abstract: Sparse coding, which refers to modeling a signal as sparse linear combinations of the elements of a learned dictionary, has proven to be a successful (and interpretable) approach in applications such as signal processing, computer vision, ...	[]	Train
23,866	30	Title: Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models Abstract: The performance on Large Language Models (LLMs) on existing reasoning benchmarks has shot up considerably over the past years. In response, we present JEEBench, a considerably more challenging benchmark dataset...	[ 16837, 8436, 26868, 634, 33815, 12602 ]	Test
23,867	30	Title: In-context Example Selection for Machine Translation Using Multiple Features Abstract: Large language models have demonstrated the capability to perform well on many NLP tasks when the input is prompted with a few examples (in-context learning) including machine translation, which is the focus of this work. The ...	[ 27340 ]	Validation
23,868	24	Title: Fast and Functional Structured Data Generators Rooted in Out-of-Equilibrium Physics Abstract: In this study, we address the challenge of using energy-based models to produce high-quality, label-specific data in complex structured datasets, such as population genetics, RNA or protein sequences data. Traditional t...	[ 35814, 20934 ]	Test
23,869	16	Title: HQDec: Self-Supervised Monocular Depth Estimation Based on a High-Quality Decoder Abstract: Decoders play significant roles in recovering scene depths. However, the decoders used in previous works ignore the propagation of multilevel lossless fine-grained information, cannot adaptively capture local and global i...	[]	Test
23,870	16	Title: Comprehensive Analysis of Network Robustness Evaluation Based on Convolutional Neural Networks with Spatial Pyramid Pooling Abstract: Connectivity robustness, a crucial aspect for understanding, optimizing, and repairing complex networks, has traditionally been evaluated through time-consuming and often impracti...	[]	Train
23,871	3	Title: AI & Blockchain as sustainable teaching and learning tools to cope with the 4IR Abstract: The Fourth Industrial Revolution (4IR) is transforming the way we live and work, and education is no exception. To cope with the challenges of 4IR, there is a need for innovative and sustainable teaching and learning tools....	[]	Train
23,872	23	Title: Towards Efficient Record and Replay: A Case Study in WeChat Abstract: WeChat, a widely-used messenger app boasting over 1 billion monthly active users, requires effective app quality assurance for its complex features. Record-and-replay tools are crucial in achieving this goal. Despite the extensive development ...	[ 20105, 23306, 28305, 9871 ]	Validation
23,873	23	Title: UQpy v4.1: Uncertainty Quantification with Python Abstract: This paper presents the latest improvements introduced in Version 4 of the UQpy, Uncertainty Quantification with Python, library. In the latest version, the code was restructured to conform with the latest Python coding conventions, refactored to simpli...	[ 40315, 15927 ]	Validation
23,874	24	Title: On the Size and Approximation Error of Distilled Sets Abstract: Dataset Distillation is the task of synthesizing small datasets from large ones while still retaining comparable predictive accuracy to the original uncompressed dataset. Despite significant empirical progress in recent years, there is little unders...	[ 17796, 10844 ]	Train
23,875	26	Title: SSBM: A signed stochastic block model for multiple structure discovery in large-scale exploratory signed networks Abstract: nan	[]	Train
23,876	28	Title: Generalizations and Extensions to Lifting Constructions for Coded Caching Abstract: Coded caching is a technique for achieving increased throughput in cached networks during peak hours. Placement delivery arrays (PDAs) capture both placement and delivery scheme requirements in coded caching in a single array. Li...	[]	Train
23,877	16	Title: Matting Anything Abstract: In this paper, we propose the Matting Anything Model (MAM), an efficient and versatile framework for estimating the alpha matte of any instance in an image with flexible and interactive visual or linguistic user prompt guidance. MAM offers several significant advantages over previous s...	[ 34834, 39123 ]	Validation

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