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
29,678	16	Title: RSFDM-Net: Real-time Spatial and Frequency Domains Modulation Network for Underwater Image Enhancement Abstract: Underwater images typically experience mixed degradations of brightness and structure caused by the absorption and scattering of light by suspended particles. To address this issue, we propose a Real-...	[ 17121, 34402 ]	Train
29,679	7	Title: Experimental and numerical study of the effect of polymer flooding on sand production in poorly consolidated porous media Abstract: Polymer flooding is crucial in hydrocarbon production, increasing oil recovery by improving the water-oil mobility ratio. However, the high viscosity of displacing fluid may cause p...	[]	Train
29,680	24	Title: Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing and Neural Networks with Quadratic Activations Abstract: Pruning schemes have been widely used in practice to reduce the complexity of trained models with a massive number of parameters. In fact, several practical studies have shown that if ...	[]	Train
29,681	10	Title: Learning Logic Specifications for Soft Policy Guidance in POMCP Abstract: Partially Observable Monte Carlo Planning (POMCP) is an efficient solver for Partially Observable Markov Decision Processes (POMDPs). It allows scaling to large state spaces by computing an approximation of the optimal policy locally and o...	[ 21198 ]	Train
29,682	27	Title: Can A Single Human Supervise A Swarm of 100 Heterogeneous Robots? Abstract: An open research question has been whether a single human can supervise a true heterogeneous swarm of robots completing tasks in real world environments. A general concern is whether or not the human's workload will be taxed to the break...	[]	Validation
29,683	16	Title: 3ET: Efficient Event-based Eye Tracking using a Change-Based ConvLSTM Network Abstract: This paper presents a sparse Change-Based Convolutional Long Short-Term Memory (CB-ConvLSTM) model for event-based eye tracking, key for next-generation wearable healthcare technology such as AR/VR headsets. We leverage the b...	[]	Test
29,684	24	Title: Towards Personalized Preprocessing Pipeline Search Abstract: Feature preprocessing, which transforms raw input features into numerical representations, is a crucial step in automated machine learning (AutoML) systems. However, the existing systems often have a very small search space for feature preprocessing wi...	[ 642, 12563, 7351 ]	Test
29,685	20	Title: Identifying Cluttering Edges in Near-Planar Graphs Abstract: Planar drawings of graphs tend to be favored over non-planar drawings. Testing planarity and creating a planar layout of a planar graph can be done in linear time. However, creating readable drawings of nearly planar graphs remains a challenge. We ther...	[]	Train
29,686	16	Title: ForceFormer: Exploring Social Force and Transformer for Pedestrian Trajectory Prediction Abstract: Predicting trajectories of pedestrians based on goal information in highly interactive scenes is a crucial step toward Intelligent Transportation Systems and Autonomous Driving. The challenges of this task come fro...	[ 38513, 35299 ]	Train
29,687	39	Title: A computation of D(9) using FPGA Supercomputing Abstract: This preprint makes the claim of having computed the $9^{th}$ Dedekind Number. This was done by building an efficient FPGA Accelerator for the core operation of the process, and parallelizing it on the Noctua 2 Supercluster at Paderborn University. The re...	[]	Train
29,688	16	Title: NL-CS Net: Deep Learning with Non-Local Prior for Image Compressive Sensing Abstract: Deep learning has been applied to compressive sensing (CS) of images successfully in recent years. However, existing network-based methods are often trained as the black box, in which the lack of prior knowledge is often the bo...	[]	Train
29,689	16	Title: On the Efficacy of Multi-scale Data Samplers for Vision Applications Abstract: Multi-scale resolution training has seen an increased adoption across multiple vision tasks, including classification and detection. Training with smaller resolutions enables faster training at the expense of a drop in accuracy. Conve...	[]	Validation
29,690	31	Title: Dynamic Adaptation of User Preferences and Results in a Destination Recommender System Abstract: Studying human factors has gained a lot of interest in recommender systems research recently. User experience plays a vital role in tourism recommender systems since user satisfaction is the main factor that guarante...	[]	Test
29,691	16	Title: FOLT: Fast Multiple Object Tracking from UAV-captured Videos Based on Optical Flow Abstract: Multiple object tracking (MOT) has been successfully investigated in computer vision. However, MOT for the videos captured by unmanned aerial vehicles (UAV) is still challenging due to small object size, blurred object a...	[]	Test
29,692	22	Title: Disco: A Functional Programming Language for Discrete Mathematics Abstract: Disco is a pure, strict, statically typed functional programming language designed to be used in the setting of a discrete mathematics course. The goals of the language are to introduce students to functional programming concepts early, ...	[]	Test
29,693	9	Title: Toward Better Depth Lower Bounds: A KRW-like theorem for Strong Composition Abstract: One of the major open problems in complexity theory is proving super-logarithmic lower bounds on the depth of circuits (i.e., $\mathbf{P}\not\subseteq\mathbf{NC}^{1}$). Karchmer, Raz, and Wigderson (Computational Complexity 5(3...	[ 7244 ]	Train
29,694	28	Title: A Simplified Method for Optimising Geometrically Shaped Constellations of Higher Dimensionality Abstract: We introduce a simplified method for calculating the loss function for use in geometric shaping, allowing for the optimisation of high dimensional constellations. We design constellations up to 12D with 4096...	[]	Train
29,695	34	Title: Nearly Optimal Dynamic Set Cover: Breaking the Quadratic-in-f Time Barrier Abstract: The dynamic set cover problem has been subject to extensive research since the pioneering works of [Bhattacharya et al, 2015] and [Gupta et al, 2017]. The input is a set system $(U, S)$ on a fixed collection $S$ of sets and a dy...	[]	Train
29,696	24	Title: Learning Personalized Decision Support Policies Abstract: Individual human decision-makers may benefit from different forms of support to improve decision outcomes. However, a key question is which form of support will lead to accurate decisions at a low cost. In this work, we propose learning a decision support...	[ 24129, 37252, 23494, 5832, 14414 ]	Train
29,697	7	Title: Topology optimization of pressure-loaded multi-material structures Abstract: Permitting multiple materials within a topology optimization setting increases the search space of the technique, which facilitates obtaining high-performing and efficient optimized designs. Structures with multiple materials involving ...	[]	Test
29,698	22	Title: Symbolic Semantics for Probabilistic Programs (extended version) Abstract: We present a new symbolic execution semantics of probabilistic programs that include observe statements and sampling from continuous distributions. Building on Kozen's seminal work, this symbolic semantics consists of a countable collecti...	[]	Train
29,699	24	Title: Violation-Aware Contextual Bayesian Optimization for Controller Performance Optimization with Unmodeled Constraints Abstract: ,	[ 4794 ]	Validation
29,700	27	Title: Predicting Parameters for Modeling Traffic Participants Abstract: Accurately modeling the behavior of traffic participants is essential for safely and efficiently navigating an autonomous vehicle through heavy traffic. We propose a method, based on the intelligent driver model, that allows us to accurately model...	[ 37347 ]	Train
29,701	24	Title: Deep Learning-Based Meta-Modeling for Multi-Objective Technology Optimization of Electrical Machines Abstract: Optimization of rotating electrical machines is both time- and computationally expensive. Because of the different parametrization, design optimization is commonly executed separately for each machine t...	[]	Train
29,702	34	Title: An Improved Exact Algorithm for Knot-Free Vertex Deletion Abstract: A knot $K$ in a directed graph $D$ is a strongly connected component of size at least two such that there is no arc $(u,v)$ with $u \in V(K)$ and $v\notin V(K)$. Given a directed graph $D=(V,E)$, we study Knot-Free Vertex Deletion (KFVD), where ...	[]	Test
29,703	4	Title: A Novel Approach To User Agent String Parsing For Vulnerability Analysis Using Mutli-Headed Attention Abstract: The increasing reliance on the internet has led to the proliferation of a diverse set of web-browsers and operating systems (OSs) capable of browsing the web. User agent strings (UASs) are a component ...	[]	Validation
29,704	30	Title: HateProof: Are Hateful Meme Detection Systems really Robust? Abstract: Exploiting social media to spread hate has tremendously increased over the years. Lately, multi-modal hateful content such as memes has drawn relatively more traction than uni-modal content. Moreover, the availability of implicit content payl...	[]	Test
29,705	16	Title: EPiC: Ensemble of Partial Point Clouds for Robust Classification Abstract: Robust point cloud classification is crucial for real-world applications, as consumer-type 3D sensors often yield partial and noisy data, degraded by various artifacts. In this work we propose a general ensemble framework, based on partia...	[ 14217 ]	Test
29,706	16	Title: ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories Abstract: Diffusion models have recently exhibited remarkable abilities to synthesize striking image samples since the introduction of denoising diffusion probabilistic models (DDPMs). Their key idea is to disrupt images into n...	[ 34760, 37778 ]	Validation
29,707	30	Title: Taxonomic Loss for Morphological Glossing of Low-Resource Languages Abstract: Morpheme glossing is a critical task in automated language documentation and can benefit other downstream applications greatly. While state-of-the-art glossing systems perform very well for languages with large amounts of existing data...	[]	Validation
29,708	24	Title: How Deep Neural Networks Learn Compositional Data: The Random Hierarchy Model Abstract: Learning generic high-dimensional tasks is notably hard, as it requires a number of training data exponential in the dimension. Yet, deep convolutional neural networks (CNNs) have shown remarkable success in overcoming this c...	[ 15788 ]	Train
29,709	34	Title: Differentially Private L2-Heavy Hitters in the Sliding Window Model Abstract: The data management of large companies often prioritize more recent data, as a source of higher accuracy prediction than outdated data. For example, the Facebook data policy retains user search histories for $6$ months while the Google...	[ 45570, 939 ]	Test
29,710	16	Title: Summarizing Stream Data for Memory-Restricted Online Continual Learning Abstract: Replay-based methods have proved their effectiveness on online continual learning by rehearsing past samples from an auxiliary memory. With many efforts made on improving training schemes based on the memory, however, the informati...	[ 9664, 15316 ]	Train
29,711	27	Title: CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic Agents Abstract: In this paper, we focus on inferring whether the given user command is clear, ambiguous, or infeasible in the context of interactive robotic agents utilizing large language models (LLMs). To tackle this problem,...	[ 26562, 13700, 33220, 30029, 44623, 8084, 41780 ]	Train
29,712	16	Title: MorDIFF: Recognition Vulnerability and Attack Detectability of Face Morphing Attacks Created by Diffusion Autoencoders Abstract: Investigating new methods of creating face morphing attacks is essential to foresee novel attacks and help mitigate them. Creating morphing attacks is commonly either performed on the ...	[ 28548, 42606, 22834, 9433, 12060, 21566 ]	Train
29,713	4	Title: Towards Tracing Code Provenance with Code Watermarking Abstract: Recent advances in large language models have raised wide concern in generating abundant plausible source code without scrutiny, and thus tracing the provenance of code emerges as a critical issue. To solve the issue, we propose CodeMark, a waterma...	[]	Validation
29,714	30	Title: ChatGPT is not Enough: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling Abstract: Recently, ChatGPT, a representative large language model (LLM), has gained considerable attention due to its powerful emergent abilities. Some researchers suggest that LLMs could potentially re...	[ 40192, 27138, 19908, 33220, 13510, 4071, 35580, 3531, 4558, 9775, 32944, 7025, 29753, 9499, 13564, 33817 ]	Test
29,715	23	Title: How do Developers Improve Code Readability? An Empirical Study of Pull Requests Abstract: Readability models and tools have been proposed to measure the effort to read code. However, these models are not completely able to capture the quality improvements in code as perceived by developers. To investigate possib...	[]	Train
29,716	16	Title: Behind the Scenes: Density Fields for Single View Reconstruction Abstract: Inferring a meaningful geometric scene representation from a single image is a fundamental problem in computer vision. Approaches based on traditional depth map prediction can only reason about areas that are visible in the image. Current...	[ 43606, 1089, 2614, 22585 ]	Validation
29,717	10	Title: Combinative Cumulative Knowledge Processes Abstract: We analyze Cumulative Knowledge Processes, introduced by Ben-Eliezer, Mikulincer, Mossel, and Sudan (ITCS 2023), in the setting of"directed acyclic graphs", i.e., when new units of knowledge may be derived by combining multiple previous units of knowledge. The...	[]	Train
29,718	16	Title: SPDER: Semiperiodic Damping-Enabled Object Representation Abstract: We present a neural network architecture designed to naturally learn a positional embedding and overcome the spectral bias towards lower frequencies faced by conventional implicit neural representation networks. Our proposed architecture, SPDER,...	[ 23055 ]	Test
29,719	30	Title: Cross-Cultural Transfer Learning for Chinese Offensive Language Detection Abstract: Detecting offensive language is a challenging task. Generalizing across different cultures and languages becomes even more challenging: besides lexical, syntactic and semantic differences, pragmatic aspects such as cultural norms...	[]	Validation
29,720	10	Title: Solving the HP model with Nested Monte Carlo Search Abstract: In this paper we present a new Monte Carlo Search (MCS) algorithm for finding the ground state energy of proteins in the HP-model. We also compare it briefly to other MCS algorithms not usually used on the HP-model and provide an overview of the algor...	[]	Validation
29,721	24	Title: Learning World Models with Identifiable Factorization Abstract: Extracting a stable and compact representation of the environment is crucial for efficient reinforcement learning in high-dimensional, noisy, and non-stationary environments. Different categories of information coexist in such environments -- how to...	[ 22816, 30372 ]	Validation
29,722	25	Title: Improving Audio-Text Retrieval via Hierarchical Cross-Modal Interaction and Auxiliary Captions Abstract: Most existing audio-text retrieval (ATR) methods focus on constructing contrastive pairs between whole audio clips and complete caption sentences, while ignoring fine-grained cross-modal relationships, e.g., ...	[ 15467, 39148, 11781, 17487 ]	Train
29,723	27	Title: A Food Package Recognition and Sorting System Based on Structured Light and Deep Learning Abstract: Vision algorithm-based robotic arm grasping system is one of the robotic arm systems that can be applied to a wide range of scenarios. It uses algorithms to automatically identify the location of the target and gu...	[]	Test
29,724	31	Title: SE-PQA: Personalized Community Question Answering Abstract: Personalization in Information Retrieval is a topic studied for a long time. Nevertheless, there is still a lack of high-quality, real-world datasets to conduct large-scale experiments and evaluate models for personalized search. This paper contributes ...	[]	Train
29,725	30	Title: Extending Context Window of Large Language Models via Positional Interpolation Abstract: We present Position Interpolation (PI) that extends the context window sizes of RoPE-based pretrained LLMs such as LLaMA models to up to 32768 with minimal fine-tuning (within 1000 steps), while demonstrating strong empirica...	[ 34208, 13700, 13063, 38218, 19885, 1966, 18895, 42574, 18227, 9012, 5077, 39125, 23512, 2426, 9499, 9470, 4639 ]	Train
29,726	16	Title: Optimizing Brain Tumor Classification: A Comprehensive Study on Transfer Learning and Imbalance Handling in Deep Learning Models Abstract: Deep learning has emerged as a prominent field in recent literature, showcasing the introduction of models that utilize transfer learning to achieve remarkable accuracies in ...	[ 39336 ]	Train
29,727	30	Title: Using Large Language Models to Provide Explanatory Feedback to Human Tutors Abstract: Research demonstrates learners engaging in the process of producing explanations to support their reasoning, can have a positive impact on learning. However, providing learners real-time explanatory feedback often presents chal...	[ 26899 ]	Train
29,728	10	Title: InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models Abstract: Large language models~(LLMs) are instruction followers, but it can be challenging to find the best instruction for different situations, especially for black-box LLMs on which backpropagation is forbidden. Instead of d...	[ 13700, 18767, 7345, 22578, 6744, 13050, 33854 ]	Train
29,729	16	Title: Conditional 360-degree Image Synthesis for Immersive Indoor Scene Decoration Abstract: In this paper, we address the problem of conditional scene decoration for 360-degree images. Our method takes a 360-degree background photograph of an indoor scene and generates decorated images of the same scene in the panora...	[]	Train
29,730	2	Title: Derivation-Graph-Based Characterizations of Decidable Existential Rule Sets Abstract: This paper establishes alternative characterizations of very expressive classes of existential rule sets with decidable query entailment. We consider the notable class of greedy bounded-treewidth sets (gbts) and a new, generali...	[]	Validation
29,731	16	Title: Pretrained ViTs Yield Versatile Representations For Medical Images Abstract: Convolutional Neural Networks (CNNs) have reigned for a decade as the de facto approach to automated medical image diagnosis, pushing the state-of-the-art in classification, detection and segmentation tasks. Over the last years, vision ...	[]	Train
29,732	6	Title: MAGIC: Manipulating Avatars and Gestures to Improve Remote Collaboration Abstract: Remote collaborative work has become pervasive in many settings, ranging from engineering to medical professions. Users are im-mersed in virtual environments and communicate through life-sized avatars that enable face-to-face coll...	[]	Train
29,733	16	Title: Primitive Generation and Semantic-Related Alignment for Universal Zero-Shot Segmentation Abstract: We study universal zero-shot segmentation in this work to achieve panoptic, instance, and semantic segmentation for novel categories without any training samples. Such zero-shot segmentation ability relies on inter...	[ 38753, 31747, 34982, 17097, 28592, 38577, 41109, 17590, 44890 ]	Test
29,734	24	Title: Alzheimer Disease Detection from Raman Spectroscopy of the Cerebrospinal Fluid via Topological Machine Learning Abstract: The cerebrospinal fluid (CSF) of 19 subjects who received a clinical diagnosis of Alzheimer's disease (AD) as well as of 5 pathological controls have been collected and analysed by Raman spec...	[]	Train
29,735	10	Title: Data quality dimensions for fair AI Abstract: AI systems are not intrinsically neutral and biases trickle in any type of technological tool. In particular when dealing with people, AI algorithms reflect technical errors originating with mislabeled data. As they feed wrong and discriminatory classifications, perp...	[]	Test
29,736	37	Title: Cost-Intelligent Data Analytics in the Cloud Abstract: For decades, database research has focused on optimizing performance under fixed resources. As more and more database applications move to the public cloud, we argue that it is time to make cost a first-class citizen when solving database optimization proble...	[]	Train
29,737	27	Title: Online Continual Learning for Robust Indoor Object Recognition Abstract: Vision systems mounted on home robots need to interact with unseen classes in changing environments. Robots have limited computational resources, labelled data and storage capability. These requirements pose some unique challenges: models s...	[ 4215 ]	Train
29,738	24	Title: Calc-X: Enriching Arithmetical Chain-of-Thoughts Datasets by Interaction with Symbolic Systems Abstract: This report overviews our ongoing work in enriching chain-of-thoughts datasets requiring arithmetical reasoning with the integration of non-parametric components, such as a calculator. We conduct an analysis ...	[ 634 ]	Train
29,739	24	Title: Low Rank Matrix Completion via Robust Alternating Minimization in Nearly Linear Time Abstract: Given a matrix $M\in \mathbb{R}^{m\times n}$, the low rank matrix completion problem asks us to find a rank-$k$ approximation of $M$ as $UV^\top$ for $U\in \mathbb{R}^{m\times k}$ and $V\in \mathbb{R}^{n\times k}$ by o...	[ 19648, 29089, 46051, 34404, 12966, 2694, 24299, 4909, 34221, 8436, 18645, 39573, 12347 ]	Train
29,740	7	Title: PODTherm-GP: A Physics-Based Data-Driven Approach for Effective Architecture-Level Thermal Simulation of Multi-Core CPUs Abstract: A thermal simulation methodology derived from the proper orthogonal decomposition (POD) and the Galerkin projection (GP), hereafter referred to as PODTherm-GP, is evaluated in terms ...	[]	Train
29,741	16	Title: Speed up the inference of diffusion models via shortcut MCMC sampling Abstract: Diffusion probabilistic models have generated high quality image synthesis recently. However, one pain point is the notorious inference to gradually obtain clear images with thousands of steps, which is time consuming compared to oth...	[]	Train
29,742	16	Title: High-Level Features Parallelization for Inference Cost Reduction Through Selective Attention Abstract: In this work, we parallelize high-level features in deep networks to selectively skip or select class-specific features to reduce inference costs. This challenges most deep learning methods due to their limited...	[]	Test
29,743	16	Title: SC-ML: Self-supervised Counterfactual Metric Learning for Debiased Visual Question Answering Abstract: Visual question answering (VQA) is a critical multimodal task in which an agent must answer questions according to the visual cue. Unfortunately, language bias is a common problem in VQA, which refers to the mo...	[]	Train
29,744	26	Title: Sequential Attention Source Identification Based on Feature Representation Abstract: Snapshot observation based source localization has been widely studied due to its accessibility and low cost. However, the interaction of users in existing methods does not be addressed in time-varying infection scenarios. So th...	[]	Train
29,745	24	Title: A Survey From Distributed Machine Learning to Distributed Deep Learning Abstract: Artificial intelligence has made remarkable progress in handling complex tasks, thanks to advances in hardware acceleration and machine learning algorithms. However, to acquire more accurate outcomes and solve more complex issues, ...	[]	Train
29,746	10	Title: Digital Twin Applications in Urban Logistics: An Overview Abstract: Urban traffic attributed to commercial and industrial transportation is observed to largely affect living standards in cities due to external effects pertaining to pollution and congestion. In order to counter this, smart cities deploy technolog...	[ 8419 ]	Validation
29,747	4	Title: RSA+: An algorithm at least as secure as RSA Abstract: The RSA algorithm has been around for nearly five decades and remains one of the most studied public key cryptosystems. Many attempts have been made to break it or improve it and questions remain about the equivalence of the strength of its security to well ...	[]	Train
29,748	6	Title: Warning: Humans cannot reliably detect speech deepfakes Abstract: Speech deepfakes are artificial voices generated by machine learning models. Previous literature has highlighted deepfakes as one of the biggest security threats arising from progress in artificial intelligence due to their potential for misuse. H...	[ 2666, 17202 ]	Train
29,749	24	Title: Probabilistic Learning of Multivariate Time Series with Temporal Irregularity Abstract: Multivariate sequential data collected in practice often exhibit temporal irregularities, including nonuniform time intervals and component misalignment. However, if uneven spacing and asynchrony are endogenous characteristic...	[]	Train
29,750	24	Title: Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees Abstract: Identifying safe areas is a key point to guarantee trust for systems that are based on Deep Neural Networks (DNNs). To this end, we introduce the AllDNN-Verification problem: given a safety property and a DNN, enume...	[ 13786, 24571, 28934 ]	Train
29,751	24	Title: Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning Abstract: Fairness plays a crucial role in various multi-agent systems (e.g., communication networks, financial markets, etc.). Many multi-agent dynamical interactions can be cast as Markov Decision Processes (MDPs). While e...	[ 17438 ]	Train
29,752	16	Title: Enhancing OCR Performance through Post-OCR Models: Adopting Glyph Embedding for Improved Correction Abstract: The study investigates the potential of post-OCR models to overcome limitations in OCR models and explores the impact of incorporating glyph embedding on post-OCR correction performance. In this study, w...	[ 10706 ]	Train
29,753	30	Title: Large Language Model as Autonomous Decision Maker Abstract: While large language models (LLMs) exhibit impressive language understanding and in-context learning abilities, their decision-making ability still heavily relies on the guidance of task-specific expert knowledge when solving real-world tasks. To unleas...	[ 12606, 22331, 27138, 40610, 22148, 17061, 295, 23629, 8978, 29714, 19671, 3609, 634, 9499, 6398 ]	Train
29,754	24	Title: When Does Optimizing a Proper Loss Yield Calibration? Abstract: Optimizing proper loss functions is popularly believed to yield predictors with good calibration properties; the intuition being that for such losses, the global optimum is to predict the ground-truth probabilities, which is indeed calibrated. Howev...	[ 19937, 37106, 43761 ]	Train
29,755	30	Title: Elastic Weight Removal for Faithful and Abstractive Dialogue Generation Abstract: Ideally, dialogue systems should generate responses that are faithful to the knowledge contained in relevant documents. However, many models generate hallucinated responses instead that contradict it or contain unverifiable informa...	[ 12128, 25892, 28805, 35465, 44537, 12142, 38102, 42775, 32249, 2779, 35580 ]	Test
29,756	30	Title: Supplementary Features of BiLSTM for Enhanced Sequence Labeling Abstract: Sequence labeling tasks require the computation of sentence representations for each word within a given sentence. A prevalent method incorporates a Bi-directional Long Short-Term Memory (BiLSTM) layer to enhance the sequence structure inf...	[]	Validation
29,757	30	Title: ART: Automatic multi-step reasoning and tool-use for large language models Abstract: Large language models (LLMs) can perform complex reasoning in few- and zero-shot settings by generating intermediate chain of thought (CoT) reasoning steps. Further, each reasoning step can rely on external tools to support comp...	[ 22148, 45182, 22289, 5522, 10262, 12957, 4387, 19747, 17958, 38315, 688, 6963, 4660, 21180, 38857, 9812, 28886, 10585, 8154, 19936, 17255, 7661, 13298, 41336, 1401, 634, 18686, 3967 ]	Train
29,758	26	Title: Abortion Misinformation on TikTok: Rampant Content, Lax Moderation, and Vivid User Experiences Abstract: The scientific effort devoted to health misinformation mostly focuses on the implications of misleading vaccines and communicable disease claims with respect to public health. However, the proliferation of ab...	[ 33616, 40585 ]	Validation
29,759	4	Title: Evaluating Deception and Moving Target Defense with Network Attack Simulation Abstract: In the field of network security, with the ongoing arms race between attackers, seeking new vulnerabilities to bypass defense mechanisms and defenders reinforcing their prevention, detection and response strategies, the novel...	[]	Train
29,760	24	Title: Exploring the Space of Key-Value-Query Models with Intention Abstract: Attention-based models have been a key element of many recent breakthroughs in deep learning. Two key components of Attention are the structure of its input (which consists of keys, values and queries) and the computations by which these thre...	[ 25833, 21778 ]	Validation
29,761	16	Title: InterFormer: Real-time Interactive Image Segmentation Abstract: Interactive image segmentation enables annotators to efficiently perform pixel-level annotation for segmentation tasks. However, the existing interactive segmentation pipeline suffers from inefficient computations of interactive models because of th...	[ 3595, 8123 ]	Test
29,762	25	Title: LMCodec: A Low Bitrate Speech Codec With Causal Transformer Models Abstract: We introduce LMCodec, a causal neural speech codec that provides high quality audio at very low bitrates. The backbone of the system is a causal convolutional codec that encodes audio into a hierarchy of coarse-to-fine tokens using resi...	[ 16376 ]	Validation
29,763	16	Title: ConvGenVisMo: Evaluation of Conversational Generative Vision Models Abstract: Conversational generative vision models (CGVMs) like Visual ChatGPT (Wu et al., 2023) have recently emerged from the synthesis of computer vision and natural language processing techniques. These models enable more natural and interact...	[ 3609, 13700 ]	Validation
29,764	18	Title: ULGss: A Strategy to construct a Library of Universal Logic Gates for N-variable Boolean Logic beyond NAND and NOR Abstract: In literature, NAND and NOR are two logic gates that display functional completeness, hence regarded as Universal gates. So, the present effort is focused on exploring a library of univers...	[]	Test
29,765	16	Title: SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation Abstract: The Segment Anything Model (SAM) exhibits a capability to segment a wide array of objects in natural images, serving as a versatile perceptual tool for various downstream i...	[ 27148, 29270, 16728, 35805, 35263 ]	Validation
29,766	24	Title: Internet of Things: Digital Footprints Carry A Device Identity Abstract: . The usage of technologically advanced devices has seen a boom in many domains, including education, automation, and healthcare; with most of the services requiring Internet-connectivity. To secure a network, device identification plays ke...	[]	Train
29,767	25	Title: Unsupervised Improvement of Audio-Text Cross-Modal Representations Abstract: Recent advances in using language models to obtain cross-modal audio-text representations have overcome the limitations of conventional training approaches that use predefined labels. This has allowed the community to make progress in t...	[]	Train
29,768	24	Title: Unconstrained Dynamic Regret via Sparse Coding Abstract: Motivated by the challenge of nonstationarity in sequential decision making, we study Online Convex Optimization (OCO) under the coupling of two problem structures: the domain is unbounded, and the comparator sequence $u_1,\ldots,u_T$ is arbitrarily time-v...	[ 37952 ]	Validation
29,769	30	Title: Entailment as Robust Self-Learner Abstract: Entailment has been recognized as an important metric for evaluating natural language understanding (NLU) models, and recent studies have found that entailment pretraining benefits weakly supervised fine-tuning. In this work, we design a prompting strategy that formula...	[ 26578 ]	Train
29,770	16	Title: Predicting Human Attention using Computational Attention Abstract: Most models of visual attention are aimed at predicting either top-down or bottom-up control, as studied using different visual search and free-viewing tasks. We propose Human Attention Transformer (HAT), a single model predicting both forms of a...	[]	Train
29,771	28	Title: Active RISs: Signal Modeling, Asymptotic Analysis, and Beamforming Design Abstract: Reconfigurable intelligent surfaces (RISs) have emerged as a candidate technology for future 6G networks. However, due to the “multiplicative fading” effect, the existing passive RISs only achieve a negligible capacity gain in en...	[ 11669 ]	Validation
29,772	16	Title: CAMIL: Context-Aware Multiple Instance Learning for Whole Slide Image Classification Abstract: Cancer diagnoses typically involve human pathologists examining whole slide images (WSIs) of tissue section biopsies to identify tumor cells and their subtypes. However, artificial intelligence (AI)-based models, parti...	[]	Train
29,773	27	Title: Congestion and Scalability in Robot Swarms: a Study on Collective Decision Making Abstract: One of the most important promises of decentralized systems is scalability, which is often assumed to be present in robot swarm systems without being contested. Simple limitations, such as movement congestion and communic...	[ 35481 ]	Train
29,774	16	Title: DGC-GNN: Descriptor-free Geometric-Color Graph Neural Network for 2D-3D Matching Abstract: Direct matching of 2D keypoints in an input image to a 3D point cloud of the scene without requiring visual descriptors has garnered increased interest due to its lower memory requirements, inherent privacy preservation, a...	[]	Train
29,775	16	Title: VIDES: Virtual Interior Design via Natural Language and Visual Guidance Abstract: Interior design is crucial in creating aesthetically pleasing and functional indoor spaces. However, developing and editing interior design concepts requires significant time and expertise. We propose Virtual Interior DESign (VIDES...	[ 34074 ]	Validation
29,776	16	Title: SelfDocSeg: A Self-Supervised vision-based Approach towards Document Segmentation Abstract: nan	[ 26442 ]	Test
29,777	16	Title: BEVFusion4D: Learning LiDAR-Camera Fusion Under Bird's-Eye-View via Cross-Modality Guidance and Temporal Aggregation Abstract: Integrating LiDAR and Camera information into Bird's-Eye-View (BEV) has become an essential topic for 3D object detection in autonomous driving. Existing methods mostly adopt an independ...	[ 17488, 40403 ]	Validation

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