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
19,378	3	Title: The Age of Synthetic Realities: Challenges and Opportunities Abstract: Synthetic realities are digital creations or augmentations that are contextually generated through the use of Artificial Intelligence (AI) methods, leveraging extensive amounts of data to construct new narratives or realities, regardless of t...	[ 13700, 23563, 33939, 45851, 42272, 14499, 38696, 27433, 7597, 24624, 3250, 22476, 32467, 36179, 20435, 38235, 40671, 3050, 13552, 24308, 17526 ]	Validation
19,379	31	Title: Towards Consistency Filtering-Free Unsupervised Learning for Dense Retrieval Abstract: Domain transfer is a prevalent challenge in modern neural Information Retrieval (IR). To overcome this problem, previous research has utilized domain-specific manual annotations and synthetic data produced by consistency filte...	[ 35545 ]	Validation
19,380	30	Title: LFTK: Handcrafted Features in Computational Linguistics Abstract: Past research has identified a rich set of handcrafted linguistic features that can potentially assist various tasks. However, their extensive number makes it difficult to effectively select and utilize existing handcrafted features. Coupled with ...	[ 26561, 8799 ]	Validation
19,381	31	Title: A Lightweight Constrained Generation Alternative for Query-focused Summarization Abstract: Query-focused summarization (QFS) aims to provide a summary of a document that satisfies information need of a given query and is useful in various IR applications, such as abstractive snippet generation. Current QFS appro...	[ 28868 ]	Test
19,382	9	Title: Logical Characterization of Algebraic Circuit Classes over Integral Domains Abstract: We present an adapted construction of algebraic circuits over the reals introduced by Cucker and Meer to arbitrary infinite integral domains and generalize the $\mathrm{AC}_{\mathbb{R}}$ and $\mathrm{NC}_{\mathbb{R}}$-classes f...	[]	Train
19,383	16	Title: Fault Localization for Buggy Deep Learning Framework Conversions in Image Recognition Abstract: When deploying Deep Neural Networks (DNNs), developers often convert models from one deep learning framework to another (e.g., TensorFlow to PyTorch). However, this process is error-prone and can impact target model a...	[ 5151 ]	Train
19,384	30	Title: A New Task and Dataset on Detecting Attacks on Human Rights Defenders Abstract: The ability to conduct retrospective analyses of attacks on human rights defenders over time and by location is important for humanitarian organizations to better understand historical or ongoing human rights violations and thus bett...	[]	Validation
19,385	16	Title: Experts Weights Averaging: A New General Training Scheme for Vision Transformers Abstract: Structural re-parameterization is a general training scheme for Convolutional Neural Networks (CNNs), which achieves performance improvement without increasing inference cost. As Vision Transformers (ViTs) are gradually su...	[ 35595 ]	Train
19,386	16	Title: Vision Transformers are Good Mask Auto-Labelers Abstract: We propose Mask Auto-Labeler (MAL), a high-quality Transformer-based mask auto-labeling framework for instance segmentation using only box annotations. MAL takes box-cropped images as inputs and conditionally generates their mask pseudo-labels. We show th...	[ 6530, 37133, 8399 ]	Train
19,387	4	Title: RISE: RISC-V SoC for En/decryption Acceleration on the Edge for Homomorphic Encryption Abstract: Today edge devices commonly connect to the cloud to use its storage and compute capabilities. This leads to security and privacy concerns about user data. Homomorphic Encryption (HE) is a promising solution to addres...	[]	Validation
19,388	30	Title: Smart Word Suggestions for Writing Assistance Abstract: Enhancing word usage is a desired feature for writing assistance. To further advance research in this area, this paper introduces"Smart Word Suggestions"(SWS) task and benchmark. Unlike other works, SWS emphasizes end-to-end evaluation and presents a more r...	[]	Train
19,389	30	Title: Sarcasm Detection in a Disaster Context Abstract: During natural disasters, people often use social media platforms such as Twitter to ask for help, to provide information about the disaster situation, or to express contempt about the unfolding event or public policies and guidelines. This contempt is in some ca...	[]	Train
19,390	16	Title: MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition Abstract: Recently, multi-expert methods have led to significant improvements in long-tail recognition (LTR). We summarize two aspects that need further enhancement to contribute to LTR boosting: (1) More diverse experts; (...	[ 24183 ]	Train
19,391	16	Title: Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition Abstract: Multi-label image recognition aims to predict a set of labels that present in an image. The key to deal with such problem is to mine the associations between image contents and labels, and further obtain the correct assignments b...	[]	Validation
19,392	4	Title: A New Symmetric Homomorphic Functional Encryption over a Hidden Ring for Polynomial Public Key Encapsulations Abstract: This paper proposes a new homomorphic functional encryption using modular multiplications over a hidden ring. Unlike traditional homomorphic encryption where users can only passively perform ci...	[ 8886 ]	Train
19,393	16	Title: Transformer-based Multi-Instance Learning for Weakly Supervised Object Detection Abstract: Weakly Supervised Object Detection (WSOD) enables the training of object detection models using only image-level annotations. State-of-the-art WSOD detectors commonly rely on multi-instance learning (MIL) as the backbone o...	[]	Train
19,394	24	Title: Auto-Regressive Next-Token Predictors are Universal Learners Abstract: Large language models display remarkable capabilities in logical and mathematical reasoning, allowing them to solve complex tasks. Interestingly, these abilities emerge in networks trained on the simple task of next-token prediction. In this ...	[ 20546, 40099, 33220, 34981, 13510, 8106, 16014, 45695 ]	Train
19,395	32	Title: Bringing PDEs to JAX with forward and reverse modes automatic differentiation Abstract: Partial differential equations (PDEs) are used to describe a variety of physical phenomena. Often these equations do not have analytical solutions and numerical approximations are used instead. One of the common methods to so...	[ 24254 ]	Train
19,396	24	Title: Predicting blood pressure under circumstances of missing data: An analysis of missing data patterns and imputation methods using NHANES Abstract: The World Health Organization defines cardio-vascular disease (CVD) as"a group of disorders of the heart and blood vessels,"including coronary heart disease and stroke...	[]	Test
19,397	18	Title: Spin–orbit torque flash analog-to-digital converter Abstract: nan	[]	Train
19,398	8	Title: Managing Write Access without Token Fees in Leaderless DAG-based Ledgers Abstract: A significant portion of research on distributed ledgers has focused on circumventing the limitations of leader-based blockchains mainly in terms of scalability, decentralization and power consumption. Leaderless architectures bas...	[]	Validation
19,399	24	Title: Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation Abstract: Sparse Gaussian Processes are a key component of high-throughput Bayesian Optimisation (BO) loops; however, we show that existing methods for allocating their inducing points severely hamper optimisation pe...	[ 12418, 39141 ]	Test
19,400	16	Title: Active Teacher for Semi-Supervised Object Detection Abstract: In this paper, we study teacher-student learning from the perspective of data initialization and propose a novel algorithm called Active Teacher11Source code are available at: https://github.com/HunterJLin/ActiveTeacher for semi-supervised object dete...	[ 25376, 33733, 2607, 37776, 18614, 37752, 10686 ]	Train
19,401	34	Title: Approximate Monotone Local Search for Weighted Problems Abstract: In a recent work, Esmer et al. describe a simple method - Approximate Monotone Local Search - to obtain exponential approximation algorithms from existing parameterized exact algorithms, polynomial-time approximation algorithms and, more generally...	[ 13540 ]	Validation
19,402	5	Title: Open Heterogeneous Quorum Systems Abstract: In contrast to proof-of-work replication, Byzantine replicated systems maintain consistency with higher throughput, modest energy consumption, and deterministic liveness guarantees. If complemented with open membership and heterogeneous trust, they have the potential t...	[ 3559 ]	Train
19,403	24	Title: Feature Perturbation Augmentation for Reliable Evaluation of Importance Estimators Abstract: Post-hoc explanation methods attempt to make the inner workings of deep neural networks more interpretable. However, since a ground truth is in general lacking, local post-hoc interpretability methods, which assign impor...	[]	Train
19,404	16	Title: Verbs in Action: Improving verb understanding in video-language models Abstract: Understanding verbs is crucial to modelling how people and objects interact with each other and the environment through space and time. Recently, state-of-the-art video-language models based on CLIP have been shown to have limited v...	[ 40202, 26635, 7157, 16382 ]	Train
19,405	30	Title: Language Models are Few-shot Learners for Prognostic Prediction Abstract: Clinical prediction is an essential task in the healthcare industry. However, the recent success of transformers, on which large language models are built, has not been extended to this domain. In this research, we explore the use of trans...	[ 22432, 36392, 28140, 30748, 1909, 10585, 24412, 37214 ]	Validation
19,406	22	Title: Graded Modal Types for Integrity and Confidentiality Abstract: Graded type systems, such as the one underlying the Granule programming language, allow various different properties of a program's behaviour to be tracked via annotating types with additional information, which we call grades. One example of such a ...	[]	Test
19,407	24	Title: Data Might be Enough: Bridge Real-World Traffic Signal Control Using Offline Reinforcement Learning Abstract: Applying reinforcement learning (RL) to traffic signal control (TSC) has become a promising solution. However, most RL-based methods focus solely on optimization within simulators and give little thought...	[]	Train
19,408	23	Title: Towards a safe MLOps Process for the Continuous Development and Safety Assurance of ML-based Systems in the Railway Domain Abstract: Traditional automation technologies alone are not sufficient to enable driverless operation of trains (called Grade of Automation (GoA) 4) on non-restricted infrastructure. The req...	[]	Validation
19,409	34	Title: Dispatching Point Selection for a Drone-Based Delivery System Operating in a Mixed Euclidean-Manhattan Grid Abstract: In this paper, we present a drone-based delivery system that assumes to deal with a mixed-area, i.e., two areas, one rural and one urban, placed side-by-side. In the mixed-areas, called EM-grids,...	[]	Validation
19,410	16	Title: Exploring the Limits of Deep Image Clustering using Pretrained Models Abstract: We present a general methodology that learns to classify images without labels by leveraging pretrained feature extractors. Our approach involves self-distillation training of clustering heads, based on the fact that nearest neighbor...	[ 39210, 43671 ]	Test
19,411	28	Title: Information-Theoretic Limits of Bistatic Integrated Sensing and Communication Abstract: The bistatic integrated sensing and communication (ISAC) system model avoids the strong self-interference in a monostatic ISAC system by employing a pair of physically separated sensing transceiver and maintaining the merit o...	[ 2161 ]	Train
19,412	8	Title: Enhancing 5G Radio Planning with Graph Representations and Deep Learning Abstract: The roll out of new mobile network generations poses hard challenges due to various factors such as cost-benefit tradeoffs, existing infrastructure, and new technology aspects. In particular, one of the main challenges for the 5G ...	[]	Train
19,413	4	Title: Evaluation of Real-World Risk-Based Authentication at Online Services Revisited: Complexity Wins Abstract: Risk-based authentication (RBA) aims to protect end-users against attacks involving stolen or otherwise guessed passwords without requiring a second authentication method all the time. Online services typic...	[ 31106, 43075 ]	Validation
19,414	16	Title: Time Series Analysis of Urban Liveability Abstract: In this paper we explore deep learning models to monitor longitudinal liveability changes in Dutch cities at the neighbourhood level. Our liveability reference data is defined by a country-wise yearly survey based on a set of indicators combined into a liveabil...	[]	Validation
19,415	28	Title: Four infinite families of ternary cyclic codes with a square-root-like lower bound Abstract: Cyclic codes are an interesting type of linear codes and have wide applications in communication and storage systems due to their efficient encoding and decoding algorithms. Inspired by the recent work on binary cyclic c...	[ 26033, 16894, 27961 ]	Validation
19,416	24	Title: A Provably Improved Algorithm for Crowdsourcing with Hard and Easy Tasks Abstract: Crowdsourcing is a popular method used to estimate ground-truth labels by collecting noisy labels from workers. In this work, we are motivated by crowdsourcing applications where each worker can exhibit two levels of accuracy depe...	[]	Train
19,417	25	Title: SeACo-Paraformer: A Non-Autoregressive ASR System with Flexible and Effective Hotword Customization Ability Abstract: Hotword customization is one of the concerned issues remained in ASR field - it is of value to enable users of ASR systems to customize names of entities, persons and other phrases to obtain bett...	[ 40563 ]	Test
19,418	16	Title: A Unified Query-based Paradigm for Camouflaged Instance Segmentation Abstract: Due to the high similarity between camouflaged instances and the background, the recently proposed camouflaged instance segmentation (CIS) faces challenges in accurate localization and instance segmentation. To this end, inspired by q...	[ 32619, 3524, 13245 ]	Train
19,419	16	Title: Balanced Energy Regularization Loss for Out-of-distribution Detection Abstract: In the field of out-of-distribution (OOD) detection, a previous method that use auxiliary data as OOD data has shown promising performance. However, the method provides an equal loss to all auxiliary data to differentiate them from i...	[]	Validation
19,420	30	Title: CLEVA: Chinese Language Models EVAluation Platform Abstract: With the continuous emergence of Chinese Large Language Models (LLMs), how to evaluate a model's capabilities has become an increasingly significant issue. The absence of a comprehensive Chinese benchmark that thoroughly assesses a model's performance,...	[ 7648, 33220, 1575, 37806, 7695, 975, 17295, 39061, 29430, 39576, 634, 9403, 11614 ]	Train
19,421	6	Title: XAIR: A Framework of Explainable AI in Augmented Reality Abstract: Explainable AI (XAI) has established itself as an important component of AI-driven interactive systems. With Augmented Reality (AR) becoming more integrated in daily lives, the role of XAI also becomes essential in AR because end-users will frequ...	[ 11511 ]	Train
19,422	16	Title: I2P-Rec: Recognizing Images on Large-scale Point Cloud Maps through Bird's Eye View Projections Abstract: Place recognition is an important technique for autonomous cars to achieve full autonomy since it can provide an initial guess to online localization algorithms. Although current methods based on images or p...	[ 4883 ]	Train
19,423	24	Title: Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning Abstract: Sequential decision making in the real world often requires finding a good balance of conflicting objectives. In general, there exist a plethora of Pareto-optimal policies that embody different patterns of compromises be...	[]	Validation
19,424	16	Title: Scalable Video Object Segmentation with Simplified Framework Abstract: The current popular methods for video object segmentation (VOS) implement feature matching through several hand-crafted modules that separately perform feature extraction and matching. However, the above hand-crafted designs empirically cause...	[ 15675 ]	Validation
19,425	24	Title: Improving equilibrium propagation without weight symmetry through Jacobian homeostasis Abstract: Equilibrium propagation (EP) is a compelling alternative to the backpropagation of error algorithm (BP) for computing gradients of neural networks on biological or analog neuromorphic substrates. Still, the algorithm...	[ 44764 ]	Test
19,426	28	Title: An Accurate Model to Estimate 5G Propagation Path Loss for the Indoor Environment Abstract: This paper presents a new large-scale propagation path loss model to design a fifth-generation (5G) wireless communication system for indoor environments. Simulations for the indoor environment, for all polarization at no...	[]	Train
19,427	24	Title: Deep Partial Multi-Label Learning with Graph Disambiguation Abstract: In partial multi-label learning (PML), each data example is equipped with a candidate label set, which consists of multiple ground-truth labels and other false-positive labels. Recently, graph-based methods, which demonstrate a good ability to...	[]	Train
19,428	37	Title: QueryBooster: Improving SQL Performance Using Middleware Services for Human-Centered Query Rewriting Abstract: SQL query performance is critical in database applications, and query rewriting is a technique that transforms an original query into an equivalent query with a better performance. In a wide range of da...	[]	Train
19,429	36	Title: A Game-Theoretic Framework for AI Governance Abstract: As a transformative general-purpose technology, AI has empowered various industries and will continue to shape our lives through ubiquitous applications. Despite the enormous benefits from wide-spread AI deployment, it is crucial to address associated downsi...	[]	Train
19,430	28	Title: Spectral approach to the communication complexity of multi-party key agreement Abstract: In multi-party key agreement protocols it is assumed that the parties are given correlated input data and should agree on a common secret key so that the eavesdropper cannot obtain any information on this key by listening to...	[]	Train
19,431	17	Title: Real and complexified configuration spaces for spherical 4-bar linkages Abstract: This note is a complete library of symbolic parametrized expressions for both real and complexified configuration spaces of a spherical 4-bar linkage. Building upon the previous work from Izmestiev, (2016, Section 2), this library ...	[]	Train
19,432	30	Title: Coarse-to-Fine Knowledge Selection for Document Grounded Dialogs Abstract: Multi-document grounded dialogue systems (DGDS) belong to a class of conversational agents that answer users' requests by finding supporting knowledge from a collection of documents. Most previous studies aim to improve the knowledge retr...	[ 34670 ]	Train
19,433	16	Title: PaLI-X: On Scaling up a Multilingual Vision and Language Model Abstract: We present the training recipe and results of scaling up PaLI-X, a multilingual vision and language model, both in terms of size of the components and the breadth of its training task mixture. Our model achieves new levels of performance on...	[ 26498, 30243, 30500, 3398, 37070, 29999, 17106, 3795, 27964, 34779, 13564, 8733 ]	Train
19,434	16	Title: AniPortraitGAN: Animatable 3D Portrait Generation from 2D Image Collections Abstract: Previous animatable 3D-aware GANs for human generation have primarily focused on either the human head or full body. However, head-only videos are relatively uncommon in real life, and full body generation typically does not de...	[ 39746, 2427, 21196 ]	Train
19,435	30	Title: Semantic Coherence Markers for the Early Diagnosis of the Alzheimer Disease Abstract: In this work we explore how language models can be employed to analyze language and discriminate between mentally impaired and healthy subjects through the perplexity metric. Perplexity was originally conceived as an informatio...	[]	Train
19,436	10	Title: Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems Abstract: The paper surveys automated scientific discovery, from equation discovery and symbolic regression to autonomous discovery systems and agents. It discusses the individual approaches from a"big picture"perspective and...	[]	Train
19,437	24	Title: Large Language Models Sometimes Generate Purely Negatively-Reinforced Text Abstract: When using adversarial training, it is common practice to train against the most egregious failures. However, this might imply using examples with sensitive information (such as leaked passwords or security vulnerabilities) as t...	[ 4658, 33220, 29375 ]	Train
19,438	16	Title: DiffusionSTR: Diffusion Model for Scene Text Recognition Abstract: This paper presents Diffusion Model for Scene Text Recognition (DiffusionSTR), an end-to-end text recognition framework using diffusion models for recognizing text in the wild. While existing studies have viewed the scene text recognition task as...	[ 39593 ]	Train
19,439	16	Title: Using super-resolution for enhancing visual perception and segmentation performance in veterinary cytology Abstract: The primary objective of this research was to enhance the quality of semantic segmentation in cytology images by incorporating super-resolution (SR) architectures. An additional contribution was t...	[ 45063 ]	Validation
19,440	24	Title: A multiobjective continuation method to compute the regularization path of deep neural networks Abstract: Sparsity is a highly desired feature in deep neural networks (DNNs) since it ensures numerical efficiency, improves the interpretability of models (due to the smaller number of relevant features), and robust...	[ 38606 ]	Train
19,441	24	Title: Adversarial Training for Graph Neural Networks Abstract: Despite its success in the image domain, adversarial training does not (yet) stand out as an effective defense for Graph Neural Networks (GNNs) against graph structure perturbations. In the pursuit of fixing adversarial training (1) we show and overcome fu...	[ 33488 ]	Test
19,442	16	Title: Caption Anything: Interactive Image Description with Diverse Multimodal Controls Abstract: Controllable image captioning is an emerging multimodal topic that aims to describe the image with natural language following human purpose, $\textit{e.g.}$, looking at the specified regions or telling in a particular text...	[ 10624, 12704, 5123, 33220, 13700, 42983, 35263, 39468, 10163, 8084, 25556, 3609, 36382, 1151 ]	Train
19,443	25	Title: Spot keywords from very noisy and mixed speech Abstract: Most existing keyword spotting research focuses on conditions with slight or moderate noise. In this paper, we try to tackle a more challenging task: detecting keywords buried under strong interfering speech (10 times higher than the keyword in amplitude),...	[]	Train
19,444	16	Title: ViT-Calibrator: Decision Stream Calibration for Vision Transformer Abstract: A surge of interest has emerged in utilizing Transformers in diverse vision tasks owing to its formidable performance. However, existing approaches primarily focus on optimizing internal model architecture designs that often entail sign...	[]	Train
19,445	15	Title: DiCA: A Hardware-Software Co-Design for Differential Check-Pointing in Intermittently Powered Devices Abstract: Intermittently powered devices rely on opportunistic energy-harvesting to function, leading to recurrent power interruptions. This paper introduces DiCA, a proposal for a hardware/software co-design to...	[]	Train
19,446	16	Title: Deep Radar Inverse Sensor Models for Dynamic Occupancy Grid Maps Abstract: To implement autonomous driving, one essential step is to model the vehicle environment based on the sensor inputs. Radars, with their well-known advantages, became a popular option to infer the occupancy state of grid cells surrounding t...	[]	Train
19,447	13	Title: Fourier Analysis Meets Runtime Analysis: Precise Runtimes on Plateaus Abstract: We propose a new method based on discrete Fourier analysis to analyze the time evolutionary algorithms spend on plateaus. This immediately gives a concise proof of the classic estimate of the expected runtime of the (1 + 1) evolution...	[]	Test
19,448	10	Title: Iterative Reward Shaping using Human Feedback for Correcting Reward Misspecification Abstract: A well-defined reward function is crucial for successful training of an reinforcement learning (RL) agent. However, defining a suitable reward function is a notoriously challenging task, especially in complex, multi-ob...	[ 21546 ]	Train
19,449	16	Title: Efficient Token-Guided Image-Text Retrieval With Consistent Multimodal Contrastive Training Abstract: Image-text retrieval is a central problem for understanding the semantic relationship between vision and language, and serves as the basis for various visual and language tasks. Most previous works either simply...	[ 4830, 9583 ]	Train
19,450	30	Title: Turning Whisper into Real-Time Transcription System Abstract: Whisper is one of the recent state-of-the-art multilingual speech recognition and translation models, however, it is not designed for real time transcription. In this paper, we build on top of Whisper and create Whisper-Streaming, an implementation of...	[ 11918 ]	Test
19,451	6	Title: GPT4 is Slightly Helpful for Peer-Review Assistance: A Pilot Study Abstract: In this pilot study, we investigate the use of GPT4 to assist in the peer-review process. Our key hypothesis was that GPT-generated reviews could achieve comparable helpfulness to human reviewers. By comparing reviews generated by both ...	[ 34545 ]	Validation
19,452	30	Title: Guiding Text-to-Text Privatization by Syntax Abstract: Metric Differential Privacy is a generalization of differential privacy tailored to address the unique challenges of text-to-text privatization. By adding noise to the representation of words in the geometric space of embeddings, words are replaced with word...	[]	Train
19,453	24	Title: Testing Causality for High Dimensional Data Abstract: Determining causal relationship between high dimensional observations are among the most important tasks in scientific discoveries. In this paper, we revisited the \emph{linear trace method}, a technique proposed in~\citep{janzing2009telling,zscheischler2011t...	[]	Train
19,454	30	Title: Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System Abstract: End-to-end task-oriented dialogue (TOD) systems have achieved promising performance by leveraging sophisticated natural language understanding and natural language generation capabiliti...	[ 23681, 43599 ]	Validation
19,455	27	Title: An Open-Source Modular Treadmill for Dynamic Force Measurement with Load Dependant Range Adjustment Abstract: Ground reaction force sensing is one of the key components of gait analysis in legged locomotion research. To measure continuous force data during locomotion, we present a novel compound instrumented tre...	[]	Train
19,456	5	Title: Leveraging HPC Profiling & Tracing Tools to Understand the Performance of Particle-in-Cell Monte Carlo Simulations Abstract: Large-scale plasma simulations are critical for designing and developing next-generation fusion energy devices and modeling industrial plasmas. BIT1 is a massively parallel Particle-in-Cel...	[]	Train
19,457	24	Title: Unleashing the Potential of Unsupervised Deep Outlier Detection through Automated Training Stopping Abstract: Outlier detection (OD) has received continuous research interests due to its wide applications. With the development of deep learning, increasingly deep OD algorithms are proposed. Despite the availabili...	[]	Validation
19,458	24	Title: ATM Fraud Detection using Streaming Data Analytics Abstract: Gaining the trust and confidence of customers is the essence of the growth and success of financial institutions and organizations. Of late, the financial industry is significantly impacted by numerous instances of fraudulent activities. Further, owing...	[]	Train
19,459	30	Title: Sensitivity and Robustness of Large Language Models to Prompt Template in Japanese Text Classification Tasks Abstract: Prompt engineering relevance research has seen a notable surge in recent years, primarily driven by advancements in pre-trained language models and large language models. However, a critical iss...	[ 7585, 13700, 1789 ]	Train
19,460	30	Title: Multi-lingual and Multi-cultural Figurative Language Understanding Abstract: Figurative language permeates human communication, but at the same time is relatively understudied in NLP. Datasets have been created in English to accelerate progress towards measuring and improving figurative language processing in la...	[ 23580, 27902 ]	Train
19,461	24	Title: Towards Interpretable Federated Learning Abstract: Federated learning (FL) enables multiple data owners to build machine learning models collaboratively without exposing their private local data. In order for FL to achieve widespread adoption, it is important to balance the need for performance, privacy-preserva...	[ 5648, 16265, 2962, 19866 ]	Train
19,462	27	Title: Non-Euclidean Motion Planning with Graphs of Geodesically-Convex Sets Abstract: Computing optimal, collision-free trajectories for high-dimensional systems is a challenging problem. Sampling-based planners struggle with the dimensionality, whereas trajectory optimizers may get stuck in local minima due to inhere...	[ 10927 ]	Train
19,463	16	Title: Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-Identification Abstract: Occluded person re-identification (Re-ID) aims to address the potential occlusion problem when matching occluded or holistic pedestrians from different camera views. Many methods use the background as artificia...	[]	Train
19,464	25	Title: Exploration of Efficient End-to-End ASR using Discretized Input from Self-Supervised Learning Abstract: Self-supervised learning (SSL) of speech has shown impressive results in speech-related tasks, particularly in automatic speech recognition (ASR). While most methods employ the output of intermediate layers of...	[ 36618, 8186, 21778, 22602 ]	Train
19,465	16	Title: CryoFormer: Continuous Reconstruction of 3D Structures from Cryo-EM Data using Transformer-based Neural Representations Abstract: High-resolution heterogeneous reconstruction of 3D structures of proteins and other biomolecules using cryo-electron microscopy (cryo-EM) is essential for understanding fundamental pr...	[]	Train
19,466	23	Title: The impact of no-code on digital product development Abstract: Low- and no-code platforms (LCNC) have become more popular than ever (Kulkarni, 2021), with low-code broadly adopted to optimise internal business processes. Increasingly, startups build their primary software product using no-code platforms (Palios,...	[]	Train
19,467	24	Title: Harnessing the Web and Knowledge Graphs for Automated Impact Investing Scoring Abstract: The Sustainable Development Goals (SDGs) were introduced by the United Nations in order to encourage policies and activities that help guarantee human prosperity and sustainability. SDG frameworks produced in the finance ind...	[]	Train
19,468	25	Title: CAPTDURE: Captioned Sound Dataset of Single Sources Abstract: In conventional studies on environmental sound separation and synthesis using captions, datasets consisting of multiple-source sounds with their captions were used for model training. However, when we collect the captions for multiple-source sound, it...	[ 4481, 15628 ]	Train
19,469	23	Title: Benchmarking Causal Study to Interpret Large Language Models for Source Code Abstract: One of the most common solutions adopted by software researchers to address code generation is by training Large Language Models (LLMs) on massive amounts of source code. Although a number of studies have shown that LLMs have ...	[ 40192, 38426, 41636, 33220 ]	Train
19,470	8	Title: Capacity Analysis and Throughput Maximization of NOMA with Nonlinear Power Amplifier Distortion Abstract: In future B5G/6G broadband communication systems, non-linear signal distortion caused by the impairment of transmit power amplifier (PA) can severely degrade the communication performance, especially when up...	[]	Validation
19,471	28	Title: Some new constructions of optimal linear codes and alphabet-optimal $(r,\delta)$-locally repairable codes Abstract: In distributed storage systems, locally repairable codes (LRCs) are designed to reduce disk I/O and repair costs by enabling recovery of each code symbol from a small number of other symbols. To ha...	[]	Train
19,472	30	Title: REFINER: Reasoning Feedback on Intermediate Representations Abstract: Language models (LMs) have recently shown remarkable performance on reasoning tasks by explicitly generating intermediate inferences, e.g., chain-of-thought prompting. However, these intermediate inference steps may be inappropriate deductions...	[ 10944, 2369, 37411, 33477, 10502, 33511, 44584, 23159, 37994, 10864, 38353, 39602, 35091, 16726, 28886, 20797, 17789, 12606 ]	Train
19,473	13	Title: VAPI: Vectorization of Algorithm for Performance Improvement Abstract: This study presents the vectorization of metaheuristic algorithms as the first stage of vectorized optimization implementation. Vectorization is a technique for converting an algorithm, which operates on a single value at a time to one that o...	[]	Test
19,474	27	Title: Instance-Level Semantic Maps for Vision Language Navigation Abstract: Humans have a natural ability to perform semantic associations with the surrounding objects in the environment. This allows them to create a mental map of the environment, allowing them to navigate on-demand when given linguistic instructions....	[ 40283, 39823 ]	Validation
19,475	23	Title: What Writing Assistants Can Learn from Programming IDEs Abstract: With the development of artificial intelligence, writing assistants (WAs) are changing the way people interact with text, creating lengthy outputs that can be overwhelming for users. The programming field has long addressed this issue, and Integra...	[ 27275 ]	Train
19,476	24	Title: PIFON-EPT: MR-Based Electrical Property Tomography Using Physics-Informed Fourier Networks Abstract: \textit{Objective:} In this paper, we introduce Physics-Informed Fourier Networks for Electrical Properties Tomography (PIFON-EPT), a novel deep learning-based method that solves an inverse scattering problem bas...	[ 18870 ]	Train
19,477	24	Title: Europepolls: A Dataset of Country-Level Opinion Polling Data for the European Union and the UK Abstract: I propose an open dataset of country-level historical opinion polling data for the European Union and the UK. The dataset aims to fill a gap in available opinion polling data for the European Union. Some exis...	[]	Train

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