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272708822 | 2409.11827 | 2024-09-18 | Extract-and-Abstract: Unifying Extractive and Abstractive Summarization within Single Encoder-Decoder Framework | Extract-then-Abstract is a naturally coherent paradigm to conduct abstractive summarization with the help of salient information identified by the extractive model. Previous works that adopt this paradigm train the extractor and abstractor separately and introduce extra parameters to highlight the extracted salients to... | [
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272707343 | 2409.11690 | 2024-09-18 | ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems | Recent advances in ID-free recommender systems have attracted significant attention for effectively addressing the cold start problem. However, their vulnerability to malicious attacks remains largely unexplored. In this paper, we unveil a critical yet overlooked risk: LLM-powered agents can be strategically deployed t... | [
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272703906 | 2409.11764 | 2024-09-18 | One Map to Find Them All: Real-time Open-Vocabulary Mapping for Zero-shot Multi-Object Navigation | The capability to efficiently search for objects in complex environments is fundamental for many real-world robot applications. Recent advances in open-vocabulary vision models have resulted in semantically-informed object navigation methods that allow a robot to search for an arbitrary object without prior training. H... | [
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272703963 | 2409.12180 | 2024-09-18 | Finetuning Language Models to Emit Linguistic Expressions of Uncertainty | Large language models (LLMs) are increasingly employed in information-seeking and decision-making tasks. Despite their broad utility, LLMs tend to generate information that conflicts with real-world facts, and their persuasive style can make these inaccuracies appear confident and convincing. As a result, end-users str... | [
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272703840 | 2409.11638 | 2024-09-18 | BanStereoSet: A Dataset to Measure Stereotypical Social Biases in LLMs for Bangla | This study presents BanStereoSet, a dataset designed to evaluate stereotypical social biases in multilingual LLMs for the Bangla language. In an effort to extend the focus of bias research beyond English-centric datasets, we have localized the content from the StereoSet, IndiBias, and Kamruzzaman et. al.'s datasets, pr... | [
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272703922 | 2409.12155 | 2024-09-18 | Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CT | Lesion segmentation in PET/CT imaging is essential for precise tumor characterization, which supports personalized treatment planning and enhances diagnostic precision in oncology. However, accurate manual segmentation of lesions is time-consuming and prone to inter-observer variability. Given the rising demand and cli... | [
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272704014 | 2409.11847 | 2024-09-18 | An efficient wavelet-based physics-informed neural networks for singularly perturbed problems | Physics-informed neural networks (PINNs) are a class of deep learning models that utilize physics in the form of differential equations to address complex problems, including ones that may involve limited data availability. However, tackling solutions of differential equations with rapid oscillations, steep gradients, ... | [
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272704047 | 2409.11859 | 2024-09-18 | Tight and Efficient Upper Bound on Spectral Norm of Convolutional Layers | Controlling the spectral norm of the Jacobian matrix, which is related to the convolution operation, has been shown to improve generalization, training stability and robustness in CNNs. Existing methods for computing the norm either tend to overestimate it or their performance may deteriorate quickly with increasing th... | [
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272753712 | 2409.12306 | 2024-09-18 | Measuring Sound Symbolism in Audio-visual Models | Audio-visual pre-trained models have gained substantial attention recently and demonstrated superior performance on various audio-visual tasks. This study investigates whether pre-trained audio-visual models demonstrate non-arbitrary associations between sounds and visual representations$\unicode{x2013}$known as sound ... | [
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272708014 | 2409.11726 | 2024-09-18 | Revealing and Mitigating the Challenge of Detecting Character Knowledge Errors in LLM Role-Playing | Large language model (LLM) role-playing has gained widespread attention. Authentic character knowledge is crucial for constructing realistic LLM role-playing agents. However, existing works usually overlook the exploration of LLMs' ability to detect characters' known knowledge errors (KKE) and unknown knowledge errors ... | [
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272703941 | 2409.11933 | 2024-09-18 | Reinforcement Learning as an Improvement Heuristic for Real-World Production Scheduling | The integration of Reinforcement Learning (RL) with heuristic methods is an emerging trend for solving optimization problems, which leverages RL's ability to learn from the data generated during the search process. One promising approach is to train an RL agent as an improvement heuristic, starting with a suboptimal so... | [
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272705880 | 2409.12033 | 2024-09-18 | Topological Deep Learning with State-Space Models: A Mamba Approach for Simplicial Complexes | Graph Neural Networks based on the message-passing (MP) mechanism are a dominant approach for handling graph-structured data. However, they are inherently limited to modeling only pairwise interactions, making it difficult to explicitly capture the complexity of systems with $n$-body relations. To address this, topolog... | [
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272704111 | 2409.12074 | 2024-09-18 | Online Refractive Camera Model Calibration in Visual Inertial Odometry | This paper presents a general refractive camera model and online co-estimation of odometry and the refractive index of unknown media. This enables operation in diverse and varying refractive fluids, given only the camera calibration in air. The refractive index is estimated online as a state variable of a monocular vis... | [
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273162508 | 2410.02788 | 2024-09-18 | RoMo: A Robust Solver for Full-body Unlabeled Optical Motion Capture | Optical motion capture (MoCap) is the "gold standard" for accurately capturing full-body motions. To make use of raw MoCap point data, the system labels the points with corresponding body part locations and solves the full-body motions. However, MoCap data often contains mislabeling, occlusion and positional errors, re... | [
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272708249 | 2409.12001 | 2024-09-18 | Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning | Offline multi-agent reinforcement learning (MARL) is an exciting direction of research that uses static datasets to find optimal control policies for multi-agent systems. Though the field is by definition data-driven, efforts have thus far neglected data in their drive to achieve state-of-the-art results. We first subs... | [
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272708121 | 2409.11920 | 2024-09-18 | Generation of Complex 3D Human Motion by Temporal and Spatial Composition of Diffusion Models | In this paper, we address the challenge of generating realistic 3D human motions for action classes that were never seen during the training phase. Our approach involves decomposing complex actions into simpler movements, specifically those observed during training, by leveraging the knowledge of human motion contained... | [
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272709324 | 2409.11706 | 2024-09-18 | RopeBEV: A Multi-Camera Roadside Perception Network in Bird's-Eye-View | Multi-camera perception methods in Bird's-Eye-View (BEV) have gained wide application in autonomous driving. However, due to the differences between roadside and vehicle-side scenarios, there currently lacks a multi-camera BEV solution in roadside. This paper systematically analyzes the key challenges in multi-camera B... | [
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272753346 | 2409.12207 | 2024-09-18 | Architectural Co-LOD Generation | Managing the level-of-detail (LOD) in architectural models is crucial yet challenging, particularly for effective representation and visualization of buildings. Traditional approaches often fail to deliver controllable detail alongside semantic consistency, especially when dealing with noisy and inconsistent inputs. We... | [
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272707235 | 2409.11692 | 2024-09-18 | ORB-SfMLearner: ORB-Guided Self-supervised Visual Odometry with Selective Online Adaptation | Deep visual odometry, despite extensive research, still faces limitations in accuracy and generalizability that prevent its broader application. To address these challenges, we propose an Oriented FAST and Rotated BRIEF (ORB)-guided visual odometry with selective online adaptation named ORB-SfMLearner. We present a nov... | [
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272704115 | 2409.11688 | 2024-09-18 | SLAM assisted 3D tracking system for laparoscopic surgery | A major limitation of minimally invasive surgery is the difficulty in accurately locating the internal anatomical structures of the target organ due to the lack of tactile feedback and transparency. Augmented reality (AR) offers a promising solution to overcome this challenge. Numerous studies have shown that combining... | [
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272708511 | 2409.11856 | 2024-09-18 | Edge-Based Graph Component Pooling | Graph-structured data naturally occurs in many research fields, such as chemistry and sociology. The relational information contained therein can be leveraged to statistically model graph properties through geometrical deep learning. Graph neural networks employ techniques, such as message-passing layers, to propagate ... | [
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272708353 | 2409.11798 | 2024-09-18 | The Factuality of Large Language Models in the Legal Domain | This paper investigates the factuality of large language models (LLMs) as knowledge bases in the legal domain, in a realistic usage scenario: we allow for acceptable variations in the answer, and let the model abstain from answering when uncertain. First, we design a dataset of diverse factual questions about case law ... | [
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273162770 | 2410.02786 | 2024-09-18 | Robust Symmetry Detection via Riemannian Langevin Dynamics | Symmetries are ubiquitous across all kinds of objects, whether in nature or in man-made creations. While these symmetries may seem intuitive to the human eye, detecting them with a machine is nontrivial due to the vast search space. Classical geometry-based methods work by aggregating "votes" for each symmetry but stru... | [
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272703923 | 2409.12138 | 2024-09-18 | Reporting Non-Consensual Intimate Media: An Audit Study of Deepfakes | Non-consensual intimate media (NCIM) inflicts significant harm. Currently, victim-survivors can use two mechanisms to report NCIM - as a non-consensual nudity violation or as copyright infringement. We conducted an audit study of takedown speed of NCIM reported to X (formerly Twitter) of both mechanisms. We uploaded 50... | [
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272753292 | 2409.12642 | 2024-09-19 | Deep generative models as an adversarial attack strategy for tabular machine learning | Deep Generative Models (DGMs) have found application in computer vision for generating adversarial examples to test the robustness of machine learning (ML) systems. Extending these adversarial techniques to tabular ML presents unique challenges due to the distinct nature of tabular data and the necessity to preserve do... | [
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272753104 | 2409.12391 | 2024-09-19 | Selecting a classification performance measure: matching the measure to the problem | The problem of identifying to which of a given set of classes objects belong is ubiquitous, occurring in many research domains and application areas, including medical diagnosis, financial decision making, online commerce, and national security. But such assignments are rarely completely perfect, and classification err... | [
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273163319 | 2410.02804 | 2024-09-19 | Leveraging Retrieval Augment Approach for Multimodal Emotion Recognition Under Missing Modalities | Multimodal emotion recognition utilizes complete multimodal information and robust multimodal joint representation to gain high performance. However, the ideal condition of full modality integrity is often not applicable in reality and there always appears the situation that some modalities are missing. For example, vi... | [
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272753041 | 2409.12411 | 2024-09-19 | Textualized Agent-Style Reasoning for Complex Tasks by Multiple Round LLM Generation | Chain-of-thought prompting significantly boosts the reasoning ability of large language models but still faces three issues: hallucination problem, restricted interpretability, and uncontrollable generation. To address these challenges, we present AgentCOT, a llm-based autonomous agent framework, which can solve comple... | [
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272753383 | 2409.12456 | 2024-09-19 | Bayesian-Optimized One-Step Diffusion Model with Knowledge Distillation for Real-Time 3D Human Motion Prediction | Human motion prediction is a cornerstone of human-robot collaboration (HRC), as robots need to infer the future movements of human workers based on past motion cues to proactively plan their motion, ensuring safety in close collaboration scenarios. The diffusion model has demonstrated remarkable performance in predicti... | [
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272753230 | 2409.12586 | 2024-09-19 | Efficient Knowledge Distillation: Empowering Small Language Models with Teacher Model Insights | Enhancing small language models for real-life application deployment is a significant challenge facing the research community. Due to the difficulties and costs of using large language models, researchers are seeking ways to effectively deploy task-specific small models. In this work, we introduce a simple yet effectiv... | [
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272753613 | 2409.12371 | 2024-09-19 | Communication-Efficient Federated Low-Rank Update Algorithm and its Connection to Implicit Regularization | Federated Learning (FL) faces significant challenges related to communication efficiency and performance reduction when scaling to many clients. To address these issues, we explore the potential of using low-rank updates and provide the first theoretical study of rank properties in FL. Our theoretical analysis shows th... | [
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272753237 | 2409.12455 | 2024-09-19 | MuxHand: A Cable-driven Dexterous Robotic Hand Using Time-division Multiplexing Motors | The robotic dexterous hand is responsible for both grasping and dexterous manipulation. The number of motors directly influences both the dexterity and the cost of such systems. In this paper, we present MuxHand, a robotic hand that employs a time-division multiplexing motor (TDMM) mechanism. This system allows 9 cable... | [
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272753091 | 2409.12739 | 2024-09-19 | Edu-Values: Towards Evaluating the Chinese Education Values of Large Language Models | In this paper, we present Edu-Values, the first Chinese education values evaluation benchmark that includes seven core values: professional philosophy, teachers' professional ethics, education laws and regulations, cultural literacy, educational knowledge and skills, basic competencies and subject knowledge. We meticul... | [
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272753605 | 2409.12902 | 2024-09-19 | Fast End-to-End Generation of Belief Space Paths for Minimum Sensing Navigation | We revisit the problem of motion planning in the Gaussian belief space. Motivated by the fact that most existing sampling-based planners suffer from high computational costs due to the high-dimensional nature of the problem, we propose an approach that leverages a deep learning model to predict optimal path candidates ... | [
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272753169 | 2409.12426 | 2024-09-19 | UniMSF: A Unified Multi-Sensor Fusion Framework for Intelligent Transportation System Global Localization | Intelligent transportation systems (ITS) localization is of significant importance as it provides fundamental position and orientation for autonomous operations like intelligent vehicles. Integrating diverse and complementary sensors such as global navigation satellite system (GNSS) and 4D-radar can provide scalable an... | [
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272753067 | 2409.12798 | 2024-09-19 | Assessing the Zero-Shot Capabilities of LLMs for Action Evaluation in RL | The temporal credit assignment problem is a central challenge in Reinforcement Learning (RL), concerned with attributing the appropriate influence to each actions in a trajectory for their ability to achieve a goal. However, when feedback is delayed and sparse, the learning signal is poor, and action evaluation becomes... | [
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272753313 | 2409.12471 | 2024-09-19 | Arena 4.0: A Comprehensive ROS2 Development and Benchmarking Platform for Human-centric Navigation Using Generative-Model-based Environment Generation | Building on the foundations of our previous work, this paper introduces Arena 4.0, a significant advancement over Arena 3.0, Arena-Bench, Arena 1.0, and Arena 2.0. Arena 4.0 offers three key novel contributions: (1) a generative-model-based world and scenario generation approach that utilizes large language models (LLM... | [
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272770636 | 2409.13091 | 2024-09-19 | Interpretable Action Recognition on Hard to Classify Actions | We investigate a human-like interpretable model of video understanding. Humans recognise complex activities in video by recognising critical spatio-temporal relations among explicitly recognised objects and parts, for example, an object entering the aperture of a container. To mimic this we build on a model which uses ... | [
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272987440 | 2409.19001 | 2024-09-19 | Pay Attention to What Matters | Despite the remarkable success of Large Language Models (LLMs), they still exhibit a limited capability to align their outputs to the user instructions. In this work, we introduce a simple and effective method, which we name GUIDE, that mechanistically increases attention scores in instruction tokens. To support this o... | [
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272770221 | 2409.13116 | 2024-09-19 | BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models | Generative models can enhance discriminative classifiers by constructing complex feature spaces, thereby improving performance on intricate datasets. Conventional methods typically augment datasets with more detailed feature representations or increase dimensionality to make nonlinear data linearly separable. Utilizing... | [
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272753472 | 2409.12380 | 2024-09-19 | Bundle Fragments into a Whole: Mining More Complete Clusters via Submodular Selection of Interesting webpages for Web Topic Detection | Organizing interesting webpages into hot topics is one of key steps to understand the trends of multimodal web data. A state-of-the-art solution is firstly to organize webpages into a large volume of multi-granularity topic candidates; hot topics are further identified by estimating their interestingness. However, thes... | [
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272770345 | 2409.13049 | 2024-09-19 | DiffSSD: A Diffusion-Based Dataset For Speech Forensics | Diffusion-based speech generators are ubiquitous. These methods can generate very high quality synthetic speech and several recent incidents report their malicious use. To counter such misuse, synthetic speech detectors have been developed. Many of these detectors are trained on datasets which do not include diffusion-... | [
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272753667 | 2409.12894 | 2024-09-19 | VLATest: Testing and Evaluating Vision-Language-Action Models for Robotic Manipulation | The rapid advancement of generative AI and multi-modal foundation models has shown significant potential in advancing robotic manipulation. Vision-language-action (VLA) models, in particular, have emerged as a promising approach for visuomotor control by leveraging large-scale vision-language data and robot demonstrati... | [
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272753747 | 2409.12667 | 2024-09-19 | METDrive: Multi-modal End-to-end Autonomous Driving with Temporal Guidance | Multi-modal end-to-end autonomous driving has shown promising advancements in recent work. By embedding more modalities into end-to-end networks, the system's understanding of both static and dynamic aspects of the driving environment is enhanced, thereby improving the safety of autonomous driving. In this paper, we in... | [
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1,
1,
1
] |
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