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
42,478	6	Title: An Automated Power Conservation System (APCS) using Particle Photon and Smartphone Abstract: Nowadays, people use electricity in all aspects of their lives so that electricity consumption increases gradually. There can be wastage of electricity due to various reasons, such as human negligence, daylighting, etc. ...	[]	Validation
42,479	26	Title: Fairness-aware Competitive Bidding Influence Maximization in Social Networks Abstract: Competitive Influence Maximization (CIM) has been studied for years due to its wide application in many domains. Most current studies primarily focus on the micro-level optimization by designing policies for one competitor to ...	[ 40936 ]	Train
42,480	30	Title: A Benchmark for Understanding Dialogue Safety in Mental Health Support Abstract: Dialogue safety remains a pervasive challenge in open-domain human-machine interaction. Existing approaches propose distinctive dialogue safety taxonomies and datasets for detecting explicitly harmful responses. However, these taxon...	[ 4148 ]	Validation
42,481	16	Title: MoviePuzzle: Visual Narrative Reasoning through Multimodal Order Learning Abstract: We introduce MoviePuzzle, a novel challenge that targets visual narrative reasoning and holistic movie understanding. Despite the notable progress that has been witnessed in the realm of video understanding, most prior works fail...	[ 10624, 41226, 33220 ]	Train
42,482	16	Title: CARSO: Counter-Adversarial Recall of Synthetic Observations Abstract: In this paper, we propose a novel adversarial defence mechanism for image classification -- CARSO -- inspired by cues from cognitive neuroscience. The method is synergistically complementary to adversarial training and relies on knowledge of t...	[]	Train
42,483	10	Title: A Review of the Role of Causality in Developing Trustworthy AI Systems Abstract: State-of-the-art AI models largely lack an understanding of the cause-effect relationship that governs human understanding of the real world. Consequently, these models do not generalize to unseen data, often produce unfair results,...	[ 34570, 42411 ]	Train
42,484	16	Title: SketchDreamer: Interactive Text-Augmented Creative Sketch Ideation Abstract: Artificial Intelligence Generated Content (AIGC) has shown remarkable progress in generating realistic images. However, in this paper, we take a step"backward"and address AIGC for the most rudimentary visual modality of human sketches. ...	[ 15811, 15823, 2005, 34074, 27517 ]	Train
42,485	30	Title: FSUIE: A Novel Fuzzy Span Mechanism for Universal Information Extraction Abstract: Universal Information Extraction (UIE) has been introduced as a unified framework for various Information Extraction (IE) tasks and has achieved widespread success. Despite this, UIE models have limitations. For example, they rely...	[]	Train
42,486	3	Title: Level of Awareness of PSU Bayambang Campus Students towards E learning Technologies Abstract: Purpose – The study determines and measures the level of awareness of the PSU – Bayambang Campus students towards different e – learning technologies. Method – The researchers employed Quantitative Research Approach. T...	[]	Train
42,487	24	Title: Device Image-IV Mapping using Variational Autoencoder for Inverse Design and Forward Prediction Abstract: This paper demonstrates the learning of the underlying device physics by mapping device structure images to their corresponding Current-Voltage (IV) characteristics using a novel framework based on variation...	[]	Validation
42,488	6	Title: Large Language Model-based System to Provide Immediate Feedback to Students in Flipped Classroom Preparation Learning Abstract: This paper proposes a system that uses large language models to provide immediate feedback to students in flipped classroom preparation learning. This study aimed to solve challenges in...	[]	Train
42,489	24	Title: Weakly Supervised Multi-Task Representation Learning for Human Activity Analysis Using Wearables Abstract: Sensor data streams from wearable devices and smart environments are widely studied in areas like human activity recognition (HAR), person identification, or health monitoring. However, most of the previous...	[ 7824 ]	Train
42,490	16	Title: PACE: Data-Driven Virtual Agent Interaction in Dense and Cluttered Environments Abstract: We present PACE, a novel method for modifying motion-captured virtual agents to interact with and move throughout dense, cluttered 3D scenes. Our approach changes a given motion sequence of a virtual agent as needed to adju...	[]	Test
42,491	24	Title: On the contribution of pre-trained models to accuracy and utility in modeling distributed energy resources Abstract: Despite their growing popularity, data-driven models of real-world dynamical systems require lots of data. However, due to sensing limitations as well as privacy concerns, this data is not always ...	[]	Test
42,492	10	Title: Emergent Causality & the Foundation of Consciousness Abstract: To make accurate inferences in an interactive setting, an agent must not confuse passive observation of events with having intervened to cause them. The $do$ operator formalises interventions so that we may reason about their effect. Yet there exist ...	[ 28425, 33221, 7870 ]	Validation
42,493	7	Title: Generalized FDTD Scheme for Moving Electromagnetic Structures with Arbitrary Space-Time Configurations Abstract: We present a generalized FDTD scheme to simulate moving electromagnetic structures with arbitrary space-time configurations. This scheme is a local adaptation and 2+1-dimensional extension of the unif...	[]	Train
42,494	24	Title: FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning Abstract: Federated learning (FL) has emerged as a new paradigm for privacy-preserving computation in recent years. Unfortunately, FL faces two critical challenges that hinder its actual performance: data distribution heterogeneity a...	[ 30320, 1610 ]	Validation
42,495	26	Title: Reconstructing human activities via coupling mobile phone data with location-based social networks Abstract: nan	[]	Test
42,496	27	Title: Simulation Analysis of Exploration Strategies and UAV Planning for Search and Rescue Abstract: Aerial scans with unmanned aerial vehicles (UAVs) are becoming more widely adopted across industries, from smart farming to urban mapping. An application area that can leverage the strength of such systems is search an...	[]	Validation
42,497	9	Title: New Lower Bounds against Homogeneous Non-Commutative Circuits Abstract: We give several new lower bounds on size of homogeneous non-commutative circuits. We present an explicit homogeneous bivariate polynomial of degree $d$ which requires homogeneous non-commutative circuit of size $\Omega(d/\log d)$. For an $n$...	[ 13390 ]	Train
42,498	31	Title: QuOTeS: Query-Oriented Technical Summarization Abstract: Abstract. When writing an academic paper, researchers often spend considerable time reviewing and summarizing papers to extract relevant citations and data to compose the Introduction and Related Work sections. To address this problem, we propose QuOTeS, a...	[]	Train
42,499	24	Title: Structural Neural Additive Models: Enhanced Interpretable Machine Learning Abstract: Deep neural networks (DNNs) have shown exceptional performances in a wide range of tasks and have become the go-to method for problems requiring high-level predictive power. There has been extensive research on how DNNs arrive a...	[]	Train
42,500	16	Title: CAMS: CAnonicalized Manipulation Spaces for Category-Level Functional Hand-Object Manipulation Synthesis Abstract: In this work, we focus on a novel task of category-level functional hand-object manipulation synthesis covering both rigid and articulated object categories. Given an object geometry, an initial hum...	[ 38181, 27782, 5288, 15221, 8854, 20024 ]	Train
42,501	16	Title: Learning 3D Photography Videos via Self-supervised Diffusion on Single Images Abstract: 3D photography renders a static image into a video with appealing 3D visual effects. Existing approaches typically first conduct monocular depth estimation, then render the input frame to subsequent frames with various viewpo...	[ 28532 ]	Test
42,502	16	Title: AniPixel: Towards Animatable Pixel-Aligned Human Avatar Abstract: Neural radiance field using pixel-aligned features can render photo-realistic novel views. However, when pixel-aligned features are directly introduced to human avatar reconstruction, the rendering can only be conducted for still humans, rather th...	[]	Train
42,503	16	Title: Text2Performer: Text-Driven Human Video Generation Abstract: Text-driven content creation has evolved to be a transformative technique that revolutionizes creativity. Here we study the task of text-driven human video generation, where a video sequence is synthesized from texts describing the appearance and motio...	[ 2993, 46141 ]	Train
42,504	16	Title: CROSSFIRE: Camera Relocalization On Self-Supervised Features from an Implicit Representation Abstract: Beyond novel view synthesis, Neural Radiance Fields are useful for applications that interact with the real world. In this paper, we use them as an implicit map of a given scene and propose a camera relocalizat...	[ 29665, 131 ]	Test
42,505	16	Title: Rendering Humans from Object-Occluded Monocular Videos Abstract: 3D understanding and rendering of moving humans from monocular videos is a challenging task. Despite recent progress, the task remains difficult in real-world scenarios, where obstacles may block the camera view and cause partial occlusions in the ...	[ 38368 ]	Train
42,506	27	Title: Real-Time Joint Simulation of LiDAR Perception and Motion Planning for Automated Driving Abstract: Real-time perception and motion planning are two crucial tasks for autonomous driving. While there are many research works focused on improving the performance of perception and motion planning individually, it is ...	[ 43001 ]	Test
42,507	28	Title: Superimposed RIS-phase Modulation for MIMO Communications: A Novel Paradigm of Information Transfer Abstract: Reconfigurable intelligent surface (RIS) is regarded as an important enabling technology for the sixth-generation (6G) network. Recently, modulating information in reflection patterns of RIS, referred to...	[ 20471 ]	Train
42,508	24	Title: Self-Supervised Learning with Lie Symmetries for Partial Differential Equations Abstract: Machine learning for differential equations paves the way for computationally efficient alternatives to numerical solvers, with potentially broad impacts in science and engineering. Though current algorithms typically requi...	[ 38952, 4643, 1116, 878 ]	Train
42,509	30	Title: Continual Pre-Training of Large Language Models: How to (re)warm your model? Abstract: Large language models (LLMs) are routinely pre-trained on billions of tokens, only to restart the process over again once new data becomes available. A much cheaper and more efficient solution would be to enable the continual ...	[ 40192, 13700, 23655, 6125, 17724, 29375 ]	Train
42,510	24	Title: Is this model reliable for everyone? Testing for strong calibration Abstract: In a well-calibrated risk prediction model, the average predicted probability is close to the true event rate for any given subgroup. Such models are reliable across heterogeneous populations and satisfy strong notions of algorithmic f...	[]	Test
42,511	24	Title: TGNN: A Joint Semi-supervised Framework for Graph-level Classification Abstract: This paper studies semi-supervised graph classification, a crucial task with a wide range of applications in social network analysis and bioinformatics. Recent works typically adopt graph neural networks to learn graph-level represe...	[ 38632, 27369, 23090, 42037, 36182 ]	Train
42,512	23	Title: An Exploratory Study on the Usage and Readability of Messages Within Assertion Methods of Test Cases Abstract: Unit testing is a vital part of the software development process and involves developers writing code to verify or assert production code. Furthermore, to help comprehend the test case and troubleshoot ...	[]	Test
42,513	4	Title: Communication-Efficient Laplace Mechanism for Differential Privacy via Random Quantization Abstract: We propose the first method that realizes the Laplace mechanism exactly (i.e., a Laplace noise is added to the data) that requires only a finite amount of communication (whereas the original Laplace mechanism req...	[ 24064, 36949 ]	Validation
42,514	16	Title: LA-Net: Landmark-Aware Learning for Reliable Facial Expression Recognition under Label Noise Abstract: Facial expression recognition (FER) remains a challenging task due to the ambiguity of expressions. The derived noisy labels significantly harm the performance in real-world scenarios. To address this issue, we...	[]	Test
42,515	16	Title: Elevation Estimation-Driven Building 3-D Reconstruction From Single-View Remote Sensing Imagery Abstract: Building 3-D reconstruction from remote sensing images has a wide range of applications in smart cities, photogrammetry, and other fields. Methods for automatic 3-D urban building modeling typically employ m...	[]	Train
42,516	24	Title: XploreNAS: Explore Adversarially Robust and Hardware-efficient Neural Architectures for Non-ideal Xbars Abstract: Compute In-Memory platforms such as memristive crossbars are gaining focus as they facilitate acceleration of Deep Neural Networks (DNNs) with high area and compute efficiencies. However, the intrins...	[]	Train
42,517	16	Title: Leveraging weak complementary labels to improve semantic segmentation of hepatocellular carcinoma and cholangiocarcinoma in H&E-stained slides Abstract: In this paper, we present a deep learning segmentation approach to classify and quantify the two most prevalent primary liver cancers - hepatocellular carcinoma...	[]	Validation
42,518	31	Title: Fairness and Diversity in Information Access Systems Abstract: Among the seven key requirements to achieve trustworthy AI proposed by the High-Level Expert Group on Artificial Intelligence (AI-HLEG) established by the European Commission (EC), the fifth requirement ("Diversity, non-discrimination and fairness") ...	[]	Train
42,519	24	Title: Automatic Gradient Descent: Deep Learning without Hyperparameters Abstract: The architecture of a deep neural network is defined explicitly in terms of the number of layers, the width of each layer and the general network topology. Existing optimisation frameworks neglect this information in favour of implicit a...	[ 26901 ]	Train
42,520	16	Title: Spinal nerve segmentation method and dataset construction in endoscopic surgical scenarios Abstract: Endoscopic surgery is currently an important treatment method in the field of spinal surgery and avoiding damage to the spinal nerves through video guidance is a key challenge. This paper presents the first real-...	[]	Train
42,521	24	Title: OPTWIN: Drift identification with optimal sub-windows Abstract: Online Learning (OL) is a field of research that is increasingly gaining attention both in academia and industry. One of the main challenges of OL is the inherent presence of concept drifts, which are commonly defined as unforeseeable changes in the...	[]	Test
42,522	16	Title: DeDoDe: Detect, Don't Describe - Describe, Don't Detect for Local Feature Matching Abstract: Keypoint detection is a pivotal step in 3D reconstruction, whereby sets of (up to) K points are detected in each view of a scene. Crucially, the detected points need to be consistent between views, i.e., correspond to th...	[ 26848, 4643, 33222, 15497, 35761, 43284, 16255 ]	Test
42,523	23	Title: Understanding the Effectiveness of Large Language Models in Code Translation Abstract: Code translation aims to convert source code from one programming language (PL) to another. Given the promising abilities of large language models (LLMs) in code synthesis, researchers are actively exploring their potential to...	[ 23425, 4130, 32450, 40610, 40074, 15757, 43566, 43471, 15952, 33584, 25522, 24948, 14869, 45718, 42295, 40792, 28185 ]	Train
42,524	24	Title: Robustness Analysis of Continuous-Depth Models with Lagrangian Techniques Abstract: nan	[]	Test
42,525	18	Title: Thermodynamic AI and the fluctuation frontier Abstract: Many Artificial Intelligence (AI) algorithms are inspired by physics and employ stochastic fluctuations. We connect these physics-inspired AI algorithms by unifying them under a single mathematical framework that we call Thermodynamic AI. Seemingly disparat...	[ 22952, 36601 ]	Train
42,526	30	Title: Do Multi-Document Summarization Models Synthesize? Abstract: Multi-document summarization entails producing concise synopses of collections of inputs. For some applications, the synopsis should accurately \emph{synthesize} inputs with respect to a key property or aspect. For example, a synopsis of film reviews a...	[ 41932 ]	Test
42,527	15	Title: A Reconfigurable Linear RF Analog Processor for Realizing Microwave Artificial Neural Network Abstract: Owing to the data explosion and rapid development of artificial intelligence (AI), particularly deep neural networks (DNNs), the ever-increasing demand for large-scale matrix-vector multiplication has become o...	[]	Train
42,528	4	Title: Towards a Practical Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via Randomized Smoothing Abstract: Malware detectors based on deep learning (DL) have been shown to be susceptible to malware examples that have been deliberately manipulated in order to evade detection, a.k.a. adver...	[]	Train
42,529	30	Title: Unsupervised Dialogue Topic Segmentation with Topic-aware Contrastive Learning Abstract: Dialogue Topic Segmentation (DTS) plays an essential role in a variety of dialogue modeling tasks. Previous DTS methods either focus on semantic similarity or dialogue coherence to assess topic similarity for unsupervised di...	[ 16848, 9580, 20141, 8286 ]	Test
42,530	24	Title: Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities Abstract: Recently, zero-shot (or training-free) Neural Architecture Search (NAS) approaches have been proposed to liberate the NAS from training requirements. The key idea behind zero-shot NAS approaches is to design proxies that pre...	[]	Validation
42,531	23	Title: Socialz: Multi-Feature Social Fuzz Testing Abstract: Online social networks have become an integral aspect of our daily lives and play a crucial role in shaping our relationships with others. However, bugs and glitches, even minor ones, can cause anything from frustrating problems to serious data leaks that can ...	[]	Train
42,532	24	Title: AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning Abstract: StarCraft II is one of the most challenging simulated reinforcement learning environments; it is partially observable, stochastic, multi-agent, and mastering StarCraft II requires strategic planning over long time horizons with real-time l...	[]	Validation
42,533	39	Title: Searching a Tree with Signals: Routing Mobile Sensors for Targets Emitting Radiation, Chemicals or Scents Abstract: Adversarial search of a network for an immobile Hider (or target) was introduced and solved for rooted trees by Gal (1979). In this zero-sum game, a Hider picks a point to hide on the tree and a Se...	[]	Test
42,534	24	Title: Multifactor Sequential Disentanglement via Structured Koopman Autoencoders Abstract: Disentangling complex data to its latent factors of variation is a fundamental task in representation learning. Existing work on sequential disentanglement mostly provides two factor representations, i.e., it separates the data ...	[ 9348, 13598 ]	Validation
42,535	28	Title: Role of Bootstrap Averaging in Generalized Approximate Message Passing Abstract: Generalized approximate message passing (GAMP) is a computationally efficient algorithm for estimating an unknown signal w0 ∈ ℝN from a random linear measurement y = Xw0+ϵ∈ℝM, where X ∈ℝM×N is a known measurement matrix and ϵ is the...	[]	Train
42,536	30	Title: Fine-Tashkeel: Fine-Tuning Byte-Level Models for Accurate Arabic Text Diacritization Abstract: Most of previous work on learning diacritization of the Arabic language relied on training models from scratch. In this paper, we investigate how to leverage pre-trained language models to learn diacritization. We fine...	[]	Train
42,537	31	Title: Multidimensional Fairness in Paper Recommendation Abstract: To prevent potential bias in the paper review and selection process for conferences and journals, most include double blind review. Despite this, studies show that bias still exists. Recommendation algorithms for paper review also may have implicit bias...	[]	Train
42,538	39	Title: Computing shortest 12-representants of labeled graphs Abstract: The notion of $12$-representable graphs was introduced as a variant of a well-known class of word-representable graphs. Recently, these graphs were shown to be equivalent to the complements of simple-triangle graphs. This indicates that a $12$-repre...	[]	Train
42,539	16	Title: k-NNN: Nearest Neighbors of Neighbors for Anomaly Detection Abstract: Anomaly detection aims at identifying images that deviate significantly from the norm. We focus on algorithms that embed the normal training examples in space and when given a test image, detect anomalies based on the features distance to the ...	[]	Validation
42,540	30	Title: Investigating Stylistic Profiles for the Task of Empathy Classification in Medical Narrative Essays Abstract: One important aspect of language is how speakers generate utterances and texts to convey their intended meanings. In this paper, we bring various aspects of the Construction Grammar (CxG) and the Systemi...	[]	Test
42,541	24	Title: End-to-End Reinforcement Learning of Koopman Models for Economic Nonlinear MPC Abstract: (Economic) nonlinear model predictive control ((e)NMPC) requires dynamic system models that are sufficiently accurate in all relevant state-space regions. These models must also be computationally cheap enough to ensure real...	[]	Train
42,542	16	Title: HandMIM: Pose-Aware Self-Supervised Learning for 3D Hand Mesh Estimation Abstract: With an enormous number of hand images generated over time, unleashing pose knowledge from unlabeled images for supervised hand mesh estimation is an emerging yet challenging topic. To alleviate this issue, semi-supervised and sel...	[]	Test
42,543	30	Title: CSS: A Large-scale Cross-schema Chinese Text-to-SQL Medical Dataset Abstract: The cross-domain text-to-SQL task aims to build a system that can parse user questions into SQL on complete unseen databases, and the single-domain text-to-SQL task evaluates the performance on identical databases. Both of these setups...	[]	Test
42,544	16	Title: TreeFormer: A Semi-Supervised Transformer-Based Framework for Tree Counting From a Single High-Resolution Image Abstract: Automatic tree density estimation and counting using single aerial and satellite images is a challenging task in photogrammetry and remote sensing, yet has an important role in forest managem...	[]	Test
42,545	16	Title: Synthetic Hard Negative Samples for Contrastive Learning Abstract: Contrastive learning has emerged as an essential approach for self-supervised learning in visual representation learning. The central objective of contrastive learning is to maximize the similarities between two augmented versions of an image (po...	[ 12865 ]	Train
42,546	16	Title: Human Part-wise 3D Motion Context Learning for Sign Language Recognition Abstract: In this paper, we propose P3D, the human part-wise motion context learning framework for sign language recognition. Our main contributions lie in two dimensions: learning the part-wise motion context and employing the pose ensembl...	[]	Train
42,547	30	Title: Commonsense Knowledge Transfer for Pre-trained Language Models Abstract: Despite serving as the foundation models for a wide range of NLP benchmarks, pre-trained language models have shown limited capabilities of acquiring implicit commonsense knowledge from self-supervision alone, compared to learning linguisti...	[]	Train
42,548	16	Title: GUILGET: GUI Layout GEneration with Transformer Abstract: Sketching out Graphical User Interface (GUI) layout is part of the pipeline of designing a GUI and a crucial task for the success of a software application. Arranging all components inside a GUI layout manually is a time-consuming task. In order to assist...	[]	Test
42,549	30	Title: Transforming Unstructured Text into Data with Context Rule Assisted Machine Learning (CRAML) Abstract: Abstract: We describe a method and new no-code software tools enabling domain experts to build custom structured, labeled datasets from the unstructured text of documents and build niche machine learning text c...	[]	Train
42,550	16	Title: Depth Completion with Multiple Balanced Bases and Confidence for Dense Monocular SLAM Abstract: Dense SLAM based on monocular cameras does indeed have immense application value in the field of AR/VR, especially when it is performed on a mobile device. In this paper, we propose a novel method that integrates a li...	[]	Test
42,551	16	Title: Wuerstchen: Efficient Pretraining of Text-to-Image Models Abstract: We introduce Wuerstchen, a novel technique for text-to-image synthesis that unites competitive performance with unprecedented cost-effectiveness and ease of training on constrained hardware. Building on recent advancements in machine learning, o...	[ 21152, 28532 ]	Test
42,552	15	Title: Towards Efficient In-Memory Computing Hardware for Quantized Neural Networks: State-of-the-Art, Open Challenges and Perspectives Abstract: The amount of data processed in the cloud, the development of Internet-of-Things (IoT) applications, and growing data privacy concerns force the transition from cloud-based t...	[]	Test
42,553	27	Title: Amos-SLAM: An Anti-Dynamics Two-stage SLAM Approach Abstract: The traditional Simultaneous Localization And Mapping (SLAM) systems rely on the assumption of a static environment and fail to accurately estimate the system's location when dynamic objects are present in the background. While learning-based dynamic ...	[]	Validation
42,554	30	Title: Mixture of Prompt Experts for Generalizable and Interpretable Question Answering Abstract: One of the ultimate quests of question answering (QA) is to deploy a system that can answer any type of question from the users, and refrain from answering when it does not know the answer. While recent advancements in sca...	[ 2996 ]	Test
42,555	37	Title: DMOps: Data Management Operation and Recipes Abstract: Data-centric AI has shed light on the significance of data within the machine learning (ML) pipeline. Recognizing its significance, academia, industry, and government departments have suggested various NLP data research initiatives. While the ability to util...	[ 9272, 12562, 10632 ]	Validation
42,556	16	Title: EAVL: Explicitly Align Vision and Language for Referring Image Segmentation Abstract: Referring image segmentation aims to segment an object mentioned in natural language from an image. A main challenge is language-related localization, which means locating the object with the relevant language. Previous approac...	[]	Train
42,557	25	Title: Transfer of knowledge among instruments in automatic music transcription Abstract: Automatic music transcription (AMT) is one of the most challenging tasks in the music information retrieval domain. It is the process of converting an audio recording of music into a symbolic representation containing information ...	[]	Train
42,558	3	Title: Data Science in an Agent-Based Simulation World Abstract: In data science education, the importance of learning to solve real-world problems has been argued. However, there are two issues with this approach: (1) it is very costly to prepare multiple real-world problems (using real data) according to the learning...	[]	Test
42,559	27	Title: Crafting with a Robot Assistant: Use Social Cues to Inform Adaptive Handovers in Human-Robot Collaboration Abstract: We study human-robot handovers in a naturalistic collaboration scenario, where a mobile manipulator robot assists a person during a crafting session by providing and retrieving objects used for wo...	[]	Test
42,560	25	Title: Retraining-free Customized ASR for Enharmonic Words Based on a Named-Entity-Aware Model and Phoneme Similarity Estimation Abstract: End-to-end automatic speech recognition (E2E-ASR) has the potential to improve performance, but a specific issue that needs to be addressed is the difficulty it has in handling enha...	[]	Validation
42,561	31	Title: PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation Abstract: Privacy-preserving cross-domain recommendation (PPCDR) refers to preserving the privacy of users when transferring the knowledge from source domain to target domain for better performance, which is vital for the ...	[ 33976 ]	Validation
42,562	4	Title: Execution at RISC: Stealth JOP Attacks on RISC-V Applications Abstract: RISC-V is a recently developed open instruction set architecture gaining a lot of attention. To achieve a lasting security on these systems and design efficient countermeasures, a better understanding of vulnerabilities to novel and potentia...	[]	Test
42,563	23	Title: Asynchronous Integration of Real-Time Simulators for HIL-based Validation of Smart Grids Abstract: As the landscape of devices that interact with the electrical grid expands, also the complexity of the scenarios that arise from these interactions increases. Validation methods and tools are typically domain speci...	[]	Test
42,564	16	Title: Generative appearance replay for continual unsupervised domain adaptation Abstract: Deep learning models can achieve high accuracy when trained on large amounts of labeled data. However, real-world scenarios often involve several challenges: Training data may become available in installments, may originate from ...	[ 43608 ]	Train
42,565	30	Title: Language Model Self-improvement by Reinforcement Learning Contemplation Abstract: Large Language Models (LLMs) have exhibited remarkable performance across various natural language processing (NLP) tasks. However, fine-tuning these models often necessitates substantial supervision, which can be expensive and tim...	[ 39273, 37411 ]	Test
42,566	30	Title: A New Dataset and Empirical Study for Sentence Simplification in Chinese Abstract: Sentence Simplification is a valuable technique that can benefit language learners and children a lot. However, current research focuses more on English sentence simplification. The development of Chinese sentence simplification i...	[ 13700, 43221 ]	Train
42,567	30	Title: Low-Resource Compositional Semantic Parsing with Concept Pretraining Abstract: Semantic parsing plays a key role in digital voice assistants such as Alexa, Siri, and Google Assistant by mapping natural language to structured meaning representations. When we want to improve the capabilities of a voice assistant b...	[]	Test
42,568	24	Title: Stitchable Neural Networks Abstract: The public model zoo containing enormous powerful pretrained model families (e.g., ResNet/DeiT) has reached an unprecedented scope than ever, which significantly contributes to the success of deep learning. As each model family consists of pretrained models with diverse scale...	[ 43092, 40982, 24390, 21783 ]	Train
42,569	16	Title: PIGEON: Predicting Image Geolocations Abstract: We introduce PIGEON, a multi-task end-to-end system for planet-scale image geolocalization that achieves state-of-the-art performance on both external benchmarks and in human evaluation. Our work incorporates semantic geocell creation with label smoothing, conducts...	[ 25430 ]	Train
42,570	4	Title: AIIPot: Adaptive Intelligent-Interaction Honeypot for IoT Devices Abstract: The proliferation of the Internet of Things (IoT) has raised concerns about the security of connected devices. There is a need to develop suitable and cost-efficient methods to identify vulnerabilities in IoT devices in order to address ...	[]	Train
42,571	24	Title: Probabilistic Counterexample Guidance for Safer Reinforcement Learning (Extended Version) Abstract: Safe exploration aims at addressing the limitations of Reinforcement Learning (RL) in safety-critical scenarios, where failures during trial-and-error learning may incur high costs. Several methods exist to incorp...	[]	Validation
42,572	24	Title: A Nonstochastic Control Approach to Optimization Abstract: Selecting the best hyperparameters for a particular optimization instance, such as the learning rate and momentum, is an important but nonconvex problem. As a result, iterative optimization methods such as hypergradient descent lack global optimality gua...	[ 40819, 32094 ]	Train
42,573	24	Title: Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics Abstract: Identifying the relationship between healthcare attributes, lifestyles, and personality is vital for understanding and improving physical and mental conditions. Machine learning approaches are promising for mode...	[]	Train
42,574	30	Title: L-Eval: Instituting Standardized Evaluation for Long Context Language Models Abstract: Recently, there has been growing interest in extending the context length of instruction-following models in order to effectively process single-turn long input (e.g. summarizing a paper) and conversations with more extensive ...	[ 39873, 32419, 13700, 1575, 28809, 19885, 41453, 27669, 32213, 1369, 33626, 9403, 29725 ]	Train
42,575	4	Title: Physical Zero-Knowledge Proofs for Five Cells Abstract: Five Cells is a logic puzzle consisting of a rectangular grid, with some cells containg a number. The player has to partition the grid into pentominoes such that the number in each cell must be equal to the number of edges of that cell that are borders of p...	[ 42861, 5478 ]	Train
42,576	34	Title: Mobility Data in Operations: The Facility Location Problem Abstract: The recent large scale availability of mobility data, which captures individual mobility patterns, poses novel operational problems that are exciting and challenging. Motivated by this, we introduce and study a variant of the (cost-minimization...	[]	Train
42,577	23	Title: Fixing Rust Compilation Errors using LLMs Abstract: The Rust programming language, with its safety guarantees, has established itself as a viable choice for low-level systems programming language over the traditional, unsafe alternatives like C/C++. These guarantees come from a strong ownership-based type system...	[ 13700, 32902, 45258, 7536, 29396, 38615, 43641 ]	Test

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