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
21,878	24	Title: Machine learning techniques for the Schizophrenia diagnosis: a comprehensive review and future research directions Abstract: nan	[]	Train
21,879	24	Title: MemeGraphs: Linking Memes to Knowledge Graphs Abstract: Memes are a popular form of communicating trends and ideas in social media and on the internet in general, combining the modalities of images and text. They can express humor and sarcasm but can also have offensive content. Analyzing and classifying memes a...	[]	Train
21,880	30	Title: Large Language Models Can Be Easily Distracted by Irrelevant Context Abstract: Large language models have achieved impressive performance on various natural language processing tasks. However, so far they have been evaluated primarily on benchmarks where all information in the input context is relevant for solvi...	[ 10884, 37252, 28820, 42901, 42657, 42405, 42406, 20794, 14269, 39360, 8129, 27585, 44611, 4558, 35662, 3664, 14292, 21461, 24022, 35422, 20193, 42210, 15973, 33511, 6255, 9841, 22133, 889, 13053, 45822, 27391 ]	Validation
21,881	4	Title: Pareto-Secure Machine Learning (PSML): Fingerprinting and Securing Inference Serving Systems Abstract: Model-serving systems have become increasingly popular, especially in real-time web applications. In such systems, users send queries to the server and specify the desired performance metrics (e.g., desired acc...	[ 43641, 20724 ]	Train
21,882	24	Title: AI Model Disgorgement: Methods and Choices Abstract: Responsible use of data is an indispensable part of any machine learning (ML) implementation. ML developers must carefully collect and curate their datasets, and document their provenance. They must also make sure to respect intellectual property rights, prese...	[ 5384, 22875, 11100, 27059 ]	Validation
21,883	16	Title: Hyperbolic Image-Text Representations Abstract: Visual and linguistic concepts naturally organize themselves in a hierarchy, where a textual concept"dog"entails all images that contain dogs. Despite being intuitive, current large-scale vision and language models such as CLIP do not explicitly capture such hierar...	[ 22826, 27063 ]	Train
21,884	4	Title: Protecting the Intellectual Property of Diffusion Models by the Watermark Diffusion Process Abstract: Diffusion models have emerged as state-of-the-art deep generative architectures with the increasing demands for generation tasks. Training large diffusion models for good performance requires high resource costs...	[ 7586, 26003, 8308, 3413 ]	Train
21,885	16	Title: A Survey on Deep Learning-based Spatio-temporal Action Detection Abstract: Spatio-temporal action detection (STAD) aims to classify the actions present in a video and localize them in space and time. It has become a particularly active area of research in computer vision because of its explosively emerging real-...	[ 9593, 17547, 39364, 25879 ]	Train
21,886	16	Title: Masked Image Training for Generalizable Deep Image Denoising Abstract: When capturing and storing images, devices inevitably introduce noise. Reducing this noise is a critical task called image denoising. Deep learning has become the de facto method for image denoising, especially with the emergence of Transform...	[ 12403, 23893, 43286 ]	Train
21,887	10	Title: UniKG: A Benchmark and Universal Embedding for Large-Scale Knowledge Graphs Abstract: Irregular data in real-world are usually organized as heterogeneous graphs (HGs) consisting of multiple types of nodes and edges. To explore useful knowledge from real-world data, both the large-scale encyclopedic HG datasets a...	[ 37809, 37602, 13726, 4127 ]	Train
21,888	16	Title: DeFlow: Self-supervised 3D Motion Estimation of Debris Flow Abstract: Existing work on scene flow estimation focuses on autonomous driving and mobile robotics, while automated solutions are lacking for motion in nature, such as that exhibited by debris flows. We propose DeFlow, a model for 3D motion estimation o...	[]	Train
21,889	28	Title: N-Sum Box: An Abstraction for Linear Computation over Many-to-one Quantum Networks Abstract: Linear computations over quantum many-to-one communication networks offer opportunities for communication cost improvements through schemes that exploit quantum entanglement among transmitters to achieve superdense codin...	[ 41344, 7164 ]	Train
21,890	16	Title: Filtered-Guided Diffusion: Fast Filter Guidance for Black-Box Diffusion Models Abstract: Recent advances in diffusion-based generative models have shown incredible promise for Image-to-Image translation and editing. Most recent work in this space relies on additional training or architecture-specific adjustments...	[ 34074, 16103 ]	Test
21,891	24	Title: From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks Abstract: Relational pooling is a framework for building more expressive and permutation-invariant graph neural networks. However, there is limited understanding of the exact enhancement in the expressivity ...	[ 32060, 26191 ]	Train
21,892	16	Title: HiLM-D: Towards High-Resolution Understanding in Multimodal Large Language Models for Autonomous Driving Abstract: Autonomous driving systems generally employ separate models for different tasks resulting in intricate designs. For the first time, we leverage singular multimodal large language models (MLLMs) to c...	[ 10624, 37987, 13700, 33220, 43720, 24653, 29390, 13935, 41104, 30745, 381, 27454 ]	Validation
21,893	24	Title: Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning Abstract: The difficulty of appropriately assigning credit is particularly heightened in cooperative MARL with sparse reward, due to the concurrent time and structural scales involved. Automatic subgoal generation (ASG) has recently em...	[ 39200, 17153, 33417, 35292, 42347, 35117, 7470, 22578, 3899, 13564, 17789, 35388 ]	Test
21,894	16	Title: FastInst: A Simple Query-Based Model for Real-Time Instance Segmentation Abstract: Recent attention in instance segmentation has focused on query-based models. Despite being non-maximum suppression (NMS)-free and end-to-end, the superiority of these models on high-accuracy real-time benchmarks has not been well ...	[ 27032 ]	Validation
21,895	6	Title: Impact of XR on Mental Health: Are we Playing with Fire? Abstract: Extended reality (XR) technology has the incredible potential to revolutionize mental health treatment and support, bringing a whole new dimension to the field. Through the use of immersive virtual and augmented reality experiences, individuals c...	[]	Validation
21,896	24	Title: MA2CL: Masked Attentive Contrastive Learning for Multi-Agent Reinforcement Learning Abstract: Recent approaches have utilized self-supervised auxiliary tasks as representation learning to improve the performance and sample efficiency of vision-based reinforcement learning algorithms in single-agent settings. How...	[]	Test
21,897	27	Title: LIO-GVM: an Accurate, Tightly-Coupled Lidar-Inertial Odometry with Gaussian Voxel Map Abstract: This letter presents an accurate and robust Lidar Inertial Odometry framework. We fuse LiDAR scans with IMU data using a tightly-coupled iterative error state Kalman filter for robust and fast localization. To achieve...	[ 32288 ]	Train
21,898	16	Title: All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction Abstract: Nearest neighbour based methods have proved to be one of the most successful self-supervised learning (SSL) approaches due to their high generalization capabilities. However, their computational efficiency dec...	[]	Train
21,899	16	Title: Training on Foveated Images Improves Robustness to Adversarial Attacks Abstract: Deep neural networks (DNNs) have been shown to be vulnerable to adversarial attacks -- subtle, perceptually indistinguishable perturbations of inputs that change the response of the model. In the context of vision, we hypothesize th...	[]	Validation
21,900	24	Title: Business Metric-Aware Forecasting for Inventory Management Abstract: Time-series forecasts play a critical role in business planning. However, forecasters typically optimize objectives that are agnostic to downstream business goals and thus can produce forecasts misaligned with business preferences. In this work...	[]	Test
21,901	24	Title: League of Legends: Real-Time Result Prediction Abstract: This paper presents a study on the prediction of outcomes in matches of the electronic game League of Legends (LoL) using machine learning techniques. With the aim of exploring the ability to predict real-time results, considering different variables and s...	[]	Train
21,902	4	Title: SkillScanner: Detecting Policy-Violating Voice Applications Through Static Analysis at the Development Phase Abstract: The Amazon Alexa marketplace is the largest Voice Personal Assistant (VPA) platform with over 100,000 voice applications (i.e., skills) published to the skills store. In an effort to maintain th...	[]	Validation
21,903	28	Title: Securely Aggregated Coded Matrix Inversion Abstract: Coded computing is a method for mitigating straggling workers in a centralized computing network, by using erasure-coding techniques. Federated learning is a decentralized model for training data distributed across client devices. In this work we propose appro...	[ 36700 ]	Train
21,904	10	Title: Heuristic Algorithms for the Approximation of Mutual Coherence Abstract: Mutual coherence is a measure of similarity between two opinions. Although the notion comes from philosophy, it is essential for a wide range of technologies, e.g., the Wahl-O-Mat system. In Germany, this system helps voters to find candida...	[]	Test
21,905	24	Title: An Introduction to Transformers Abstract: The transformer is a neural network component that can be used to learn useful representations of sequences or sets of datapoints. The transformer has driven recent advances in natural language processing, computer vision, and spatio-temporal modelling. There are many in...	[]	Train
21,906	10	Title: Unveiling the Potential of Counterfactuals Explanations in Employability Abstract: In eXplainable Artificial Intelligence (XAI), counterfactual explanations are known to give simple, short, and comprehensible justifications for complex model decisions. However, we are yet to see more applied studies in which the...	[]	Train
21,907	16	Title: Self-Supervised Visual Representation Learning on Food Images Abstract: Food image analysis is the groundwork for image-based dietary assessment, which is the process of monitoring what kinds of food and how much energy is consumed using captured food or eating scene images. Existing deep learning-based methods ...	[]	Validation
21,908	39	Title: Odd Chromatic Number of Graph Classes Abstract: A graph is called odd (respectively, even) if every vertex has odd (respectively, even) degree. Gallai proved that every graph can be partitioned into two even induced subgraphs, or into an odd and an even induced subgraph. We refer to a partition into odd subgraph...	[]	Validation
21,909	4	Title: Practical Non-Invasive Probing Attacks Against Novel Carbon-Nanotube-Based Physical Unclonable Functions Abstract: As the number of devices being interconnected increases, so does also the demand for (lightweight) security. To this end, Physical Unclonable Functions (PUFs) have been proposed as hardware primitiv...	[]	Train
21,910	16	Title: POAR: Towards Open Vocabulary Pedestrian Attribute Recognition Abstract: Pedestrian attribute recognition (PAR) aims to predict the attributes of a target pedestrian in a surveillance system. Existing methods address the PAR problem by training a multi-label classifier with predefined attribute classes. However,...	[]	Train
21,911	16	Title: Unsupervised Domain Adaptation for Neuron Membrane Segmentation based on Structural Features Abstract: AI-enhanced segmentation of neuronal boundaries in electron microscopy (EM) images is crucial for automatic and accurate neuroinformatics studies. To enhance the limited generalization ability of typical deep l...	[]	Train
21,912	24	Title: Artificial Intelligence for Dementia Research Methods Optimization Abstract: Introduction: Machine learning (ML) has been extremely successful in identifying key features from high-dimensional datasets and executing complicated tasks with human expert levels of accuracy or greater. Methods: We summarize and crit...	[]	Train
21,913	24	Title: Optimal Smoothing Distribution Exploration for Backdoor Neutralization in Deep Learning-based Traffic Systems Abstract: Deep Reinforcement Learning (DRL) enhances the efficiency of Autonomous Vehicles (AV), but also makes them susceptible to backdoor attacks that can result in traffic congestion or collisions. B...	[]	Train
21,914	24	Title: Multi-Modal Machine Learning for Assessing Gaming Skills in Online Streaming: A Case Study with CS: GO Abstract: Online streaming is an emerging market that address much attention. Assessing gaming skills from videos is an important task for streaming service providers to discover talented gamers. Service provid...	[ 11433, 13962 ]	Validation
21,915	30	Title: LoRA-FA: Memory-efficient Low-rank Adaptation for Large Language Models Fine-tuning Abstract: The low-rank adaptation (LoRA) method can largely reduce the amount of trainable parameters for fine-tuning large language models (LLMs), however, it still requires expensive activation memory to update low-rank weights...	[ 13700, 458, 15883, 35437, 5815, 43641, 2426, 32635, 27292 ]	Train
21,916	20	Title: A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data Abstract: In this work, we present the Bregman Alternating Projected Gradient (BAPG) method, a single-loop algorithm that offers an approximate solution to the Gromov-Wasserstein (GW) distance. We introduce a novel relaxation t...	[ 7451, 15828, 41733 ]	Test
21,917	7	Title: Deep Generalized Green's Functions Abstract: In this study, we address the challenge of obtaining a Green's function operator for linear partial differential equations (PDEs). The Green's function is well-sought after due to its ability to directly map inputs to solutions, bypassing the need for common numerical...	[]	Train
21,918	6	Title: Model Sketching: Centering Concepts in Early-Stage Machine Learning Model Design Abstract: Machine learning practitioners often end up tunneling on low-level technical details like model architectures and performance metrics. Could early model development instead focus on high-level questions of which factors a ...	[ 33967, 15434, 16556, 27631 ]	Train
21,919	16	Title: Long Range Pooling for 3D Large-Scale Scene Understanding Abstract: Inspired by the success of recent vision transformers and large kernel design in convolutional neural networks (CNNs), in this paper, we analyze and explore essential reasons for their success. We claim two factors that are critical for 3D large...	[]	Train
21,920	20	Title: An Improved PTAS for Covering Targets with Mobile Sensors Abstract: This paper considers a movement minimization problem for mobile sensors. Given a set of $n$ point targets, the $k$-Sink Minimum Movement Target Coverage Problem is to schedule mobile sensors, initially located at $k$ base stations, to cover all ...	[]	Train
21,921	30	Title: Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation Abstract: ChatGPT, a large-scale language model based on the advanced GPT-3.5 architecture, has shown remarkable potential in various Natural Language Processing (NLP) tasks. However, there is currently a dearth of compreh...	[ 12128, 38849, 26792, 44937, 30025, 5643, 1326, 11217, 27537, 33779, 45300, 9910, 12087, 14422, 35834, 34843, 35580, 1789 ]	Validation
21,922	16	Title: MovePose: A High-performance Human Pose Estimation Algorithm on Mobile and Edge Devices Abstract: We present MovePose, an optimized lightweight convolutional neural network designed specifically for real-time body pose estimation on CPU-based mobile devices. The current solutions do not provide satisfactory accu...	[]	Test
21,923	5	Title: Split Federated Learning: Speed up Model Training in Resource-Limited Wireless Networks Abstract: In this paper, we propose a novel distributed learning scheme, named group-based split federated learning (GSFL), to speed up artificial intelligence (AI) model training. Specifically, the GSFL operates in a split-t...	[ 30925 ]	Test
21,924	27	Title: Linear Kinematics for General Constant Curvature and Torsion Manipulators Abstract: We present a novel general model that unifies the kinematics of constant curvature and constant twist continuum manipulators. Combining this kinematics with energy-based physics, we derive a linear mapping from actuator configura...	[ 33022 ]	Validation
21,925	28	Title: Secure Block Joint Source-Channel Coding with Sequential Encoding Abstract: We extend the results of Ghourchian et al. [1] to joint source-channel coding with eavesdropping. Our work characterizes the sequential encoding process using the cumulative rate distribution functions (CRDF) and includes a security cons...	[]	Test
21,926	24	Title: Prescriptive PCA: Dimensionality Reduction for Two-stage Stochastic Optimization Abstract: In this paper, we consider the alignment between an upstream dimensionality reduction task of learning a low-dimensional representation of a set of high-dimensional data and a downstream optimization task of solving a stoc...	[]	Train
21,927	6	Title: The Reasonable Effectiveness of Diverse Evaluation Data Abstract: In this paper, we present findings from an semi-experimental exploration of rater diversity and its influence on safety annotations of conversations generated by humans talking to a generative AI-chat bot. We find significant differences in judgme...	[ 45609, 37343 ]	Train
21,928	30	Title: Chat2Brain: A Method for Mapping Open-Ended Semantic Queries to Brain Activation Maps Abstract: Over decades, neuroscience has accumulated a wealth of research results in the text modality that can be used to explore cognitive processes. Meta-analysis is a typical method that successfully establishes a link from...	[ 39170, 25892, 44272, 24756, 24 ]	Train
21,929	24	Title: High-dimensional Bayesian Optimization via Semi-supervised Learning with Optimized Unlabeled Data Sampling Abstract: Bayesian optimization (BO) is a powerful tool for seeking the global optimum of black-box functions. While evaluations of the black-box functions can be highly costly, it is desirable to reduce th...	[]	Train
21,930	10	Title: Knowledge Graphs: Opportunities and Challenges Abstract: nan	[ 42238 ]	Train
21,931	3	Title: A research infrastructure for generating and sharing diversity-aware data Abstract: The intensive flow of personal data associated with the trend of computerizing aspects of people's diversity in their daily lives is associated with issues concerning not only people protection and their trust in new technologies...	[ 44798 ]	Train
21,932	16	Title: GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks Abstract: While leveraging additional training data is well established to improve adversarial robustness, it incurs the unavoidable cost of data collection and the heavy computation to train models. To mitigate the costs, we propose Guided Adv...	[ 5806 ]	Train
21,933	24	Title: Demystifying Local and Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition Abstract: In this paper, we present an information-theoretic perspective to group fairness trade-offs in federated learning (FL) with respect to sensitive attributes, such as gender, race, etc. Existin...	[ 3991 ]	Test
21,934	6	Title: Gotta Go Fast: Measuring Input/Output Latencies of Virtual Reality 3D Engines for Cognitive Experiments Abstract: Virtual Reality (VR) is seeing increased adoption across many fields. The field of experimental cognitive science is also testing utilization of the technology combined with physiological measures su...	[]	Train
21,935	30	Title: TextShield: Beyond Successfully Detecting Adversarial Sentences in Text Classification Abstract: Adversarial attack serves as a major challenge for neural network models in NLP, which precludes the model's deployment in safety-critical applications. A recent line of work, detection-based defense, aims to disting...	[ 17066 ]	Test
21,936	6	Title: The Ethics of AI in Games Abstract: Video games are one of the richest and most popular forms of human-computer interaction and, hence, their role is critical for our understanding of human behaviour and affect at a large scale. As artificial intelligence (AI) tools are gradually adopted by the game industry a s...	[ 33220 ]	Train
21,937	31	Title: ConQueR: Contextualized Query Reduction using Search Logs Abstract: Query reformulation is a key mechanism to alleviate the linguistic chasm of query in ad-hoc retrieval. Among various solutions, query reduction effectively removes extraneous terms and specifies concise user intent from long queries. However, it...	[]	Test
21,938	27	Title: Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation Abstract: Many real-world manipulation tasks consist of a series of subtasks that are significantly different from one another. Such long-horizon, complex tasks highlight the potential of dexterous hands, which possess adaptability a...	[ 5481, 26562, 5382 ]	Train
21,939	24	Title: Theoretical Conditions and Empirical Failure of Bracket Counting on Long Sequences with Linear Recurrent Networks Abstract: Previous work has established that RNNs with an unbounded activation function have the capacity to count exactly. However, it has also been shown that RNNs are challenging to train effectiv...	[ 39294 ]	Train
21,940	16	Title: Tag-Based Annotation for Avatar Face Creation Abstract: Currently, digital avatars can be created manually using human images as reference. Systems such as Bitmoji are excellent producers of detailed avatar designs, with hundreds of choices for customization. A supervised learning model could be trained to gener...	[ 28989 ]	Train
21,941	6	Title: Filtering Eye-Tracking Data From an EyeLink 1000: Comparing Heuristic, Savitzky-Golay, IIR and FIR Digital Filters Abstract: In a previous report (Raju et al.,2023) we concluded that, if the goal was to preserve events such as saccades, microsaccades, and smooth pursuit in eye-tracking recordings, data with sine...	[ 28537, 15702 ]	Train
21,942	4	Title: Implementing Man-in-the-Middle Attack to Investigate Network Vulnerabilities in Smart Grid Test-bed Abstract: The smart-grid introduces several new data-gathering, communication, and information-sharing capabilities into the electrical system, as well as additional privacy threats, vulnerabilities, and cyber att...	[ 6718 ]	Test
21,943	16	Title: RGB-T Multi-Modal Crowd Counting Based on Transformer Abstract: Crowd counting aims to estimate the number of persons in a scene. Most state-of-the-art crowd counting methods based on color images can't work well in poor illumination conditions due to invisible objects. With the widespread use of infrared camera...	[ 4273 ]	Train
21,944	16	Title: Adversarial Attack with Raindrops Abstract: Deep neural networks (DNNs) are known to be vulnerable to adversarial examples, which are usually designed artificially to fool DNNs, but rarely exist in real-world scenarios. In this paper, we study the adversarial examples caused by raindrops, to demonstrate that the...	[ 11443, 3189 ]	Validation
21,945	16	Title: Ground-to-Aerial Person Search: Benchmark Dataset and Approach Abstract: In this work, we construct a large-scale dataset for Ground-to-Aerial Person Search, named G2APS, which contains 31,770 images of 260,559 annotated bounding boxes for 2,644 identities appearing in both of the UAVs and ground surveillance ca...	[]	Train
21,946	6	Title: Rethinking People Analytics With Inverse Transparency by Design Abstract: Employees work in increasingly digital environments that enable advanced analytics. Yet, they lack oversight over the systems that process their data. That means that potential analysis errors or hidden biases are hard to uncover. Recent d...	[ 26778, 41035, 43222 ]	Validation
21,947	8	Title: Hummingbird: A Flexible and Lightweight Inter-Domain Bandwidth-Reservation System Abstract: The current Internet lacks a bandwidth-reservation infrastructure that enables fine-grained inter-domain reservations for end hosts. This is hindering the provisioning of quality-of-service guarantees for real-time applic...	[]	Train
21,948	16	Title: Computer Vision for a Camel-Vehicle Collision Mitigation System Abstract: As the population grows and more land is being used for urbanization, ecosystems are disrupted by our roads and cars. This expansion of infrastructure cuts through wildlife territories, leading to many instances of Wildlife-Vehicle Collisi...	[]	Train
21,949	34	Title: Distance-Preserving Graph Compression Techniques Abstract: We study the problem of distance-preserving graph compression for weighted paths and trees. The problem entails a weighted graph $G = (V, E)$ with non-negative weights, and a subset of edges $E^{\prime} \subset E$ which needs to be removed from G (with t...	[]	Train
21,950	28	Title: A Worst-Case Approximate Analysis of Peak Age-of-Information Via Robust Queueing Approach Abstract: A new timeliness metric, called Age-of-Information (AoI), has recently attracted a lot of research interests for real-time applications with information updates. It has been extensively studied for various queuein...	[]	Train
21,951	24	Title: Revisit the Algorithm Selection Problem for TSP with Spatial Information Enhanced Graph Neural Networks Abstract: Algorithm selection is a well-known problem where researchers investigate how to construct useful features representing the problem instances and then apply feature-based machine learning models to p...	[]	Train
21,952	16	Title: BIFRNet: A Brain-Inspired Feature Restoration DNN for Partially Occluded Image Recognition Abstract: The partially occluded image recognition (POIR) problem has been a challenge for artificial intelligence for a long time. A common strategy to handle the POIR problem is using the non-occluded features for classi...	[ 16728 ]	Train
21,953	4	Title: Efficient and Low Overhead Website Fingerprinting Attacks and Defenses based on TCP/IP Traffic Abstract: Website fingerprinting attack is an extensively studied technique used in a web browser to analyze traffic patterns and thus infer confidential information about users. Several website fingerprinting attacks ...	[]	Validation
21,954	4	Title: ASCH-PUF: A “Zero” Bit Error Rate CMOS Physically Unclonable Function With Dual-Mode Low-Cost Stabilization Abstract: Physically unclonable functions (PUFs) are increasingly adopted for low-cost and secure secret key and chip ID generations for embedded and the Internet of Things (IoT) devices. Achieving 100% re...	[ 28069 ]	Validation
21,955	16	Title: Weakly Supervised Image Segmentation Beyond Tight Bounding Box Annotations Abstract: Weakly supervised image segmentation approaches in the literature usually achieve high segmentation performance using tight bounding box supervision and decrease the performance greatly when supervised by loose bounding boxes. H...	[]	Train
21,956	30	Title: BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language Models Abstract: Large language models (LLMs) have demonstrated remarkable prowess in language understanding and generation. Advancing from foundation LLMs to instructionfollowing LLMs, instruct...	[ 13700, 32744, 23883, 44811, 34347, 7695, 36179, 45879, 44729, 39451, 7996, 15358 ]	Test
21,957	27	Title: e-Inu: Simulating A Quadruped Robot With Emotional Sentience Abstract: Quadruped robots are currently used in industrial robotics as mechanical aid to automate several routine tasks. However, presently, the usage of such a robot in a domestic setting is still very much a part of the research. This paper discusse...	[]	Train
21,958	4	Title: An Analysis of How Many Undiscovered Vulnerabilities Remain in Information Systems Abstract: nan	[]	Test
21,959	30	Title: Judicial Intelligent Assistant System: Extracting Events from Divorce Cases to Detect Disputes for the Judge Abstract: In formal procedure of civil cases, the textual materials provided by different parties describe the development process of the cases. It is a difficult but necessary task to extract the key inf...	[]	Test
21,960	3	Title: The right to audit and power asymmetries in algorithm auditing Abstract: In this paper, we engage with and expand on the keynote talk about the Right to Audit given by Prof. Christian Sandvig at the IC2S2 2021 through a critical reflection on power asymmetries in the algorithm auditing field. We elaborate on the...	[]	Test
21,961	5	Title: Consensus in the Unknown-Participation Message-Adversary Model Abstract: We propose a new model that resembles Algorand's mechanism that selects a committee at each synchronous round to govern the stateless progression of its consensus algorithm. We consider an infinite set of authenticated processors in a synch...	[ 31110 ]	Train
21,962	16	Title: Bidirectional Propagation for Cross-Modal 3D Object Detection Abstract: Recent works have revealed the superiority of feature-level fusion for cross-modal 3D object detection, where fine-grained feature propagation from 2D image pixels to 3D LiDAR points has been widely adopted for performance improvement. Still...	[ 40362, 44247 ]	Validation
21,963	31	Title: Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations Abstract: Existing aspect extraction methods mostly rely on explicit or ground truth aspect information, or using data mining or machine learning approaches to extract aspects from implicit user feedback such as user review...	[ 13510 ]	Validation
21,964	16	Title: DocLangID: Improving Few-Shot Training to Identify the Language of Historical Documents Abstract: In this work, we propose DocLangID, a transfer learning approach to identify the language of unlabeled historical documents. We achieve this by first leveraging labeled data from a different but related domain of hi...	[]	Train
21,965	6	Title: Reclaiming the Horizon: Novel Visualization Designs for Time-Series Data with Large Value Ranges Abstract: We introduce two novel visualization designs to support practitioners in performing identification and discrimination tasks on large value ranges (i.e., several orders of magnitude) in time-series data: (1)...	[]	Train
21,966	30	Title: Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulator to Enhance Dialogue System Abstract: Dialogue systems and large language models (LLMs) have gained considerable attention. However, the direct utilization of LLMs as task-oriented dialogue (TOD) models has been found to u...	[ 18308, 43599, 22936, 28444, 2077 ]	Train
21,967	18	Title: Design Space Exploration for PCM-based Photonic Memory Abstract: The integration of silicon photonics (SiPh) and phase change materials (PCMs) has created a unique opportunity to realize adaptable and reconfigurable photonic systems. In particular, the nonvolatile programmability in PCMs has made them a promisin...	[ 36965 ]	Train
21,968	30	Title: SPRING: Situated Conversation Agent Pretrained with Multimodal Questions from Incremental Layout Graph Abstract: Existing multimodal conversation agents have shown impressive abilities to locate absolute positions or retrieve attributes in simple scenarios, but they fail to perform well when complex relative pos...	[ 32661, 39862 ]	Validation
21,969	22	Title: Automatic Differentiation in Prolog Abstract: Automatic differentiation (AD) is a range of algorithms to compute the numeric value of a function’s (partial) derivative, where the function is typically given as a computer program or abstract syntax tree. AD has become immensely popular as part of many learning ...	[]	Train
21,970	27	Title: Optimizing Algorithms From Pairwise User Preferences Abstract: Typical black-box optimization approaches in robotics focus on learning from metric scores. However, that is not always possible, as not all developers have ground truth available. Learning appropriate robot behavior in human-centric contexts often r...	[ 17400, 10509 ]	Train
21,971	16	Title: GEMTrans: A General, Echocardiography-based, Multi-Level Transformer Framework for Cardiovascular Diagnosis Abstract: Echocardiography (echo) is an ultrasound imaging modality that is widely used for various cardiovascular diagnosis tasks. Due to inter-observer variability in echo-based diagnosis, which arises f...	[]	Train
21,972	30	Title: Learning Cross-lingual Visual Speech Representations Abstract: Cross-lingual self-supervised learning has been a growing research topic in the last few years. However, current works only explored the use of audio signals to create representations. In this work, we study cross-lingual self-supervised visual repre...	[ 8186 ]	Test
21,973	28	Title: Generator polynomial matrices of the Galois hulls of multi-twisted codes Abstract: In this study, we consider the Euclidean and Galois hulls of multi-twisted (MT) codes over a finite field $\mathbb{F}_{p^e}$ of characteristic $p$. Let $\mathbf{G}$ be a generator polynomial matrix (GPM) of a MT code $\mathcal{C}$...	[]	Train
21,974	24	Title: Adversarial Agents For Attacking Inaudible Voice Activated Devices Abstract: The paper applies reinforcement learning to novel Internet of Thing configurations. Our analysis of inaudible attacks on voice-activated devices confirms the alarming risk factor of 7.6 out of 10, underlining significant security vulner...	[ 25928, 24462 ]	Train
21,975	27	Title: Uncertainty-aware Gaussian Mixture Model for UWB Time Difference of Arrival Localization in Cluttered Environments Abstract: Ultra-wideband (UWB) time difference of arrival(TDOA)-based localization has emerged as a low-cost and scalable indoor positioning solution. However, in cluttered environments, the perform...	[]	Train
21,976	24	Title: A spatiotemporal deep neural network for fine-grained multi-horizon wind prediction Abstract: nan	[]	Train
21,977	24	Title: Identifying contributors to supply chain outcomes in a multi-echelon setting: a decentralised approach Abstract: Organisations often struggle to identify the causes of change in metrics such as product quality and delivery duration. This task becomes increasingly challenging when the cause lies outside of compan...	[]	Train

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