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
43,678	5	Title: HitGNN: High-throughput GNN Training Framework on CPU+Multi-FPGA Heterogeneous Platform Abstract: As the size of real-world graphs increases, training Graph Neural Networks (GNNs) has become time-consuming and requires acceleration. While previous works have demonstrated the potential of utilizing FPGA for accel...	[]	Validation
43,679	2	Title: On the Lattice of Program Metrics Abstract: In this paper we are concerned with understanding the nature of program metrics for calculi with higher-order types, seen as natural generalizations of program equivalences. Some of the metrics we are interested in are well-known, such as those based on the interpretat...	[]	Validation
43,680	24	Title: Concept-Monitor: Understanding DNN training through individual neurons Abstract: In this work, we propose a general framework called Concept-Monitor to help demystify the black-box DNN training processes automatically using a novel unified embedding space and concept diversity metric. Concept-Monitor enables hum...	[ 39217 ]	Test
43,681	5	Title: PSI/J: A Portable Interface for Submitting, Monitoring, and Managing Jobs Abstract: It is generally desirable for high-performance computing (HPC) applications to be portable between HPC systems, for example to make use of more performant hardware, make effective use of allocations, and to co-locate compute jobs...	[ 2728, 45790 ]	Train
43,682	30	Title: Large Language Model Displays Emergent Ability to Interpret Novel Literary Metaphors Abstract: Recent advances in the performance of large language models (LLMs) have sparked debate over whether, given sufficient training, high-level human abilities emerge in such generic forms of artificial intelligence (AI). D...	[ 19720, 13510 ]	Validation
43,683	24	Title: Conformal prediction under ambiguous ground truth Abstract: In safety-critical classification tasks, conformal prediction allows to perform rigorous uncertainty quantification by providing confidence sets including the true class with a user-specified probability. This generally assumes the availability of a hel...	[ 32838 ]	Validation
43,684	28	Title: New Codes on High Dimensional Expanders Abstract: We describe a new parameterized family of symmetric error-correcting codes with low-density parity-check matrices (LDPC). Our codes can be described in two seemingly different ways. First, in relation to Reed-Muller codes: our codes are functions on a subset of $...	[]	Train
43,685	34	Title: Hutchinson's Estimator is Bad at Kronecker-Trace-Estimation Abstract: We study the problem of estimating the trace of a matrix $\mathbf{A}$ that can only be accessed through Kronecker-matrix-vector products. That is, for any Kronecker-structured vector $\boldsymbol{\mathrm{x}} = \otimes_{i=1}^k \boldsymbol{\math...	[]	Test
43,686	16	Title: TPS++: Attention-Enhanced Thin-Plate Spline for Scene Text Recognition Abstract: Text irregularities pose significant challenges to scene text recognizers. Thin-Plate Spline (TPS)-based rectification is widely regarded as an effective means to deal with them. Currently, the calculation of TPS transformation para...	[ 4025, 9254 ]	Train
43,687	24	Title: Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks Abstract: Adversarial examples threaten the integrity of machine learning systems with alarming success rates even under constrained black-box conditions. Stateful defenses have emerged as an effective countermeasure, ...	[]	Test
43,688	16	Title: Deep Semantic Graph Matching for Large-scale Outdoor Point Clouds Registration Abstract: The current point cloud registration methods are mainly based on geometric information and usually ignore the semantic information in the point clouds. In this paper, we treat the point cloud registration problem as semantic...	[]	Test
43,689	30	Title: OYXOY: A Modern NLP Test Suite for Modern Greek Abstract: This paper serves as a foundational step towards the development of a linguistically motivated and technically relevant evaluation suite for Greek NLP. We initiate this endeavor by introducing four expert-verified evaluation tasks, specifically targeted a...	[ 2376, 34140, 39254 ]	Train
43,690	24	Title: Evaluating Explanation Methods for Multivariate Time Series Classification Abstract: Multivariate time series classification is an important computational task arising in applications where data is recorded over time and over multiple channels. For example, a smartwatch can record the acceleration and orientatio...	[ 37584 ]	Train
43,691	16	Title: Beyond One-to-One: Rethinking the Referring Image Segmentation Abstract: Referring image segmentation aims to segment the target object referred by a natural language expression. However, previous methods rely on the strong assumption that one sentence must describe one target in the image, which is often not th...	[]	Train
43,692	16	Title: Leaf Only SAM: A Segment Anything Pipeline for Zero-Shot Automated Leaf Segmentation Abstract: Segment Anything Model (SAM) is a new foundation model that can be used as a zero-shot object segmentation method with the use of either guide prompts such as bounding boxes, polygons, or points. Alternatively, additio...	[ 12704, 28718, 41008, 29270, 18360, 35263 ]	Validation
43,693	27	Title: One-shot Imitation Learning via Interaction Warping Abstract: Imitation learning of robot policies from few demonstrations is crucial in open-ended applications. We propose a new method, Interaction Warping, for learning SE(3) robotic manipulation policies from a single demonstration. We infer the 3D mesh of eac...	[ 35541, 28142 ]	Test
43,694	31	Title: Adaptive Vague Preference Policy Learning for Multi-round Conversational Recommendation Abstract: Conversational recommendation systems (CRS) effectively address information asymmetry by dynamically eliciting user preferences through multi-turn interactions. Existing CRS widely assumes that users have clear pref...	[ 25312, 4147, 1998 ]	Train
43,695	23	Title: Quantum Software Analytics: Opportunities and Challenges Abstract: Quantum computing systems depend on the principles of quantum mechanics to perform multiple challenging tasks more efficiently than their classical counterparts. In classical software engineering, the software life cycle is used to document and s...	[]	Train
43,696	16	Title: Baybayin Character Instance Detection Abstract: The Philippine Government recently passed the"National Writing System Act,"which promotes using Baybayin in Philippine texts. In support of this effort to promote the use of Baybayin, we present a computer vision system which can aid individuals who cannot easily r...	[]	Train
43,697	24	Title: Minimizing Trajectory Curvature of ODE-based Generative Models Abstract: Recent ODE/SDE-based generative models, such as diffusion models, rectified flows, and flow matching, define a generative process as a time reversal of a fixed forward process. Even though these models show impressive performance on large-s...	[ 43881, 12889, 11146, 36483 ]	Train
43,698	31	Title: Automated Prompting for Non-overlapping Cross-domain Sequential Recommendation Abstract: Cross-domain Recommendation (CR) has been extensively studied in recent years to alleviate the data sparsity issue in recommender systems by utilizing different domain information. In this work, we focus on the more general ...	[ 6008, 33800, 4610, 23375 ]	Train
43,699	27	Title: Robust Pivoting Manipulation using Contact Implicit Bilevel Optimization Abstract: Generalizable manipulation requires that robots be able to interact with novel objects and environment. This requirement makes manipulation extremely challenging as a robot has to reason about complex frictional interactions with ...	[ 31572, 44583 ]	Test
43,700	16	Title: Generalizable Metric Network for Cross-domain Person Re-identification Abstract: Person Re-identification (Re-ID) is a crucial technique for public security and has made significant progress in supervised settings. However, the cross-domain (i.e., domain generalization) scene presents a challenge in Re-ID tasks ...	[]	Train
43,701	16	Title: Robustness Analysis on Foundational Segmentation Models Abstract: Due to the increase in computational resources and accessibility of data, an increase in large, deep learning models trained on copious amounts of data using self-supervised or semi-supervised learning have emerged. These"foundation"models are oft...	[ 37254, 42599, 6380, 37133, 14168 ]	Train
43,702	24	Title: Martian time-series unraveled: A multi-scale nested approach with factorial variational autoencoders Abstract: Unsupervised source separation involves unraveling an unknown set of source signals recorded through a mixing operator, with limited prior knowledge about the sources, and only access to a dataset of si...	[ 14440 ]	Test
43,703	27	Title: Learning from Local Experience: Informed Sampling Distributions for High Dimensional Motion Planning Abstract: This paper presents a sampling-based motion planning framework that leverages the geometry of obstacles in a workspace as well as prior experiences from motion planning problems. Previous studies have d...	[]	Test
43,704	16	Title: HUMS2023 Data Challenge Result Submission Abstract: We implemented a simple method for early detection in this research. The implemented methods are plotting the given mat files and analyzing scalogram images generated by performing Continuous Wavelet Transform (CWT) on the samples. Also, finding the mean, stand...	[]	Train
43,705	30	Title: Watermarking Text Generated by Black-Box Language Models Abstract: LLMs now exhibit human-like skills in various fields, leading to worries about misuse. Thus, detecting generated text is crucial. However, passive detection methods are stuck in domain specificity and limited adversarial robustness. To achieve re...	[ 6531, 35044, 10723, 13700, 22476, 38235, 43930, 315 ]	Test
43,706	16	Title: A Specific Task-oriented Semantic Image Communication System for substation patrol inspection Abstract: Intelligent inspection robots are widely used in substation patrol inspection, which can help check potential safety hazards by patrolling the substation and sending back scene images. However, when patrolling...	[]	Train
43,707	30	Title: Probabilistic Linguistic Knowledge and Token-level Text Augmentation Abstract: This paper investigates the effectiveness of token-level text augmentation and the role of probabilistic linguistic knowledge within a linguistically-motivated evaluation context. Two text augmentation programs, REDA and REDA$_{NG}$, ...	[]	Validation
43,708	24	Title: Tune As You Scale: Hyperparameter Optimization For Compute Efficient Training Abstract: Hyperparameter tuning of deep learning models can lead to order-of-magnitude performance gains for the same amount of compute. Despite this, systematic tuning is uncommon, particularly for large models, which are expensive to...	[]	Train
43,709	13	Title: Neuromorphic Online Learning for Spatiotemporal Patterns with a Forward-only Timeline Abstract: Spiking neural networks (SNNs) are bio-plausible computing models with high energy efficiency. The temporal dynamics of neurons and synapses enable them to detect temporal patterns and generate sequences. While Backpr...	[]	Train
43,710	27	Title: Imitating Task and Motion Planning with Visuomotor Transformers Abstract: Imitation learning is a powerful tool for training robot manipulation policies, allowing them to learn from expert demonstrations without manual programming or trial-and-error. However, common methods of data collection, such as human supe...	[ 16074, 8994, 2543 ]	Validation
43,711	16	Title: High-Resolution GAN Inversion for Degraded Images in Large Diverse Datasets Abstract: The last decades are marked by massive and diverse image data, which shows increasingly high resolution and quality. However, some images we obtained may be corrupted, affecting the perception and the application of downstream ...	[]	Validation
43,712	5	Title: Cloud-Native Computing: A Survey from the Perspective of Services Abstract: The development of cloud computing delivery models inspires the emergence of cloud-native computing. Cloud-native computing, as the most influential development principle for web applications, has already attracted increasingly more atte...	[]	Train
43,713	16	Title: Artificial intelligence to advance Earth observation: a perspective Abstract: Earth observation (EO) is a prime instrument for monitoring land and ocean processes, studying the dynamics at work, and taking the pulse of our planet. This article gives a bird's eye view of the essential scientific tools and approac...	[]	Validation
43,714	4	Title: TrojanPuzzle: Covertly Poisoning Code-Suggestion Models Abstract: With tools like GitHub Copilot, automatic code suggestion is no longer a dream in software engineering. These tools, based on large language models, are typically trained on massive corpora of code mined from unvetted public sources. As a result, ...	[ 25505, 18306, 28580, 31643, 21068, 1115 ]	Train
43,715	24	Title: Sound Explanation for Trustworthy Machine Learning Abstract: We take a formal approach to the explainability problem of machine learning systems. We argue against the practice of interpreting black-box models via attributing scores to input components due to inherently conflicting goals of attribution-based inte...	[]	Train
43,716	3	Title: Streamlining personal data access requests: From obstructive procedures to automated web workflows Abstract: Transparency and data portability are two core principles of modern privacy legislations such as the GDPR. From the regulatory perspective, providing individuals (data subjects) with access to their data ...	[ 42283 ]	Test
43,717	24	Title: Fed-ZERO: Efficient Zero-shot Personalization with Federated Mixture of Experts Abstract: One of the goals in Federated Learning (FL) is to create personalized models that can adapt to the context of each participating client, while utilizing knowledge from a shared global model. Yet, often, personalization requ...	[]	Train
43,718	10	Title: Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT Abstract: In this paper, we aim to develop a large language model (LLM) with the reasoning ability on complex graph data. Currently, LLMs have achieved very impressive performance on various natural language learning t...	[ 7936, 4610, 33220, 18117, 28294, 40103, 13700, 45131, 1292, 31375, 22288, 39823, 17299, 8084, 3352, 634, 35580, 23805 ]	Validation
43,719	24	Title: Graph Mixer Networks Abstract: In recent years, the attention mechanism has demonstrated superior performance in various tasks, leading to the emergence of GAT and Graph Transformer models that utilize this mechanism to extract relational information from graph-structured data. However, the high computational co...	[]	Validation
43,720	16	Title: ADAPT: Action-aware Driving Caption Transformer Abstract: End-to-end autonomous driving has great potential in the transportation industry. However, the lack of transparency and interpretability of the automatic decision-making process hinders its industrial adoption in practice. There have been some early attem...	[ 21892, 27782, 37832, 21170, 32664 ]	Train
43,721	27	Title: CMG-Net: An End-to-End Contact-based Multi-Finger Dexterous Grasping Network Abstract: In this paper, we propose a novel representation for grasping using contacts between multi-finger robotic hands and objects to be manipulated. This representation significantly reduces the prediction dimensions and accelerates...	[]	Train
43,722	5	Title: Flover: A Temporal Fusion Framework for Efficient Autoregressive Model Parallel Inference Abstract: In the rapidly evolving field of deep learning, the performance of model inference has become a pivotal aspect as models become more complex and are deployed in diverse applications. Among these, autoregressive mo...	[ 33220 ]	Test
43,723	16	Title: Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation Abstract: Impressive performance on point cloud semantic segmentation has been achieved by fully-supervised methods with large amounts of labelled data. As it is labour-intensive to acquire large-scale point cloud data...	[]	Test
43,724	2	Title: Semantic Analysis of Subexponential Modalities in Distributive Non-commutative Linear Logic Abstract: In this paper, we consider the full Lambek calculus enriched with subexponential modalities in a distributive setting. We show that the distributive Lambek calculus with subexponentials is complete with respect ...	[]	Validation
43,725	7	Title: CACTUS: a computational framework for generating realistic white matter microstructure substrates Abstract: Monte-Carlo diffusion simulations are a powerful tool for validating tissue microstructure models by generating synthetic diffusion-weighted magnetic resonance images (DW-MRI) in controlled environments. T...	[]	Train
43,726	24	Title: Exploring a Gradient-based Explainable AI Technique for Time-Series Data: A Case Study of Assessing Stroke Rehabilitation Exercises Abstract: Explainable artificial intelligence (AI) techniques are increasingly being explored to provide insights into why AI and machine learning (ML) models provide a certain outc...	[ 34742 ]	Train
43,727	8	Title: Interference-Aware Deployment for Maximizing User Satisfaction in Multi-UAV Wireless Networks Abstract: In this letter, we study the deployment of Unmanned Aerial Vehicle mounted Base Stations (UAV-BSs) in multi-UAV cellular networks. We model the multi-UAV deployment problem as a user satisfaction maximization ...	[]	Test
43,728	11	Title: Multi-agent Coordination Under Temporal Logic Tasks and Team-Wise Intermittent Communication Abstract: Multi-agent systems outperform single agent in complex collaborative tasks. However, in large-scale scenarios, ensuring timely information exchange during decentralized task execution remains a challenge. This ...	[]	Validation
43,729	3	Title: Quantitative dynamics of design thinking and creativity perspectives in company context Abstract: nan	[]	Validation
43,730	27	Title: Contact Reduction with Bounded Stiffness for Robust Sim-to-Real Transfer of Robot Assembly Abstract: In sim-to-real Reinforcement Learning (RL), a policy is trained in a simulated environment and then deployed on the physical system. The main challenge of sim-to-real RL is to overcome the reality gap - the discr...	[]	Train
43,731	16	Title: Exploring Data Geometry for Continual Learning Abstract: Continual learning aims to efficiently learn from a non-stationary stream of data while avoiding forgetting the knowledge of old data. In many practical applications, data complies with non-Euclidean geometry. As such, the commonly used Euclidean space can...	[]	Train
43,732	30	Title: Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling Abstract: Pretrained language models (PLMs), such as GPT2, have achieved remarkable empirical performance in text generation tasks. However, pretrained on large-scale natural language corpora, the generated text f...	[ 7786, 4054 ]	Train
43,733	28	Title: Perturbation-Resilient Sets for Dynamic Service Balancing Abstract: Balanced and swap-robust minimal trades, introduced in [1], are important for studying the balance and stability of server access request protocols under data popularity changes. Constructions of such trades have so far relied on paired sets obt...	[]	Train
43,734	18	Title: Safety of self-assembled neuromorphic hardware Abstract: The scalability of modern computing hardware is limited by physical bottlenecks and high energy consumption. These limitations could be addressed by neuromorphic hardware (NMH) which is inspired by the human brain. NMH enables physically built-in capabilit...	[]	Train
43,735	27	Title: How Simulation Helps Autonomous Driving: A Survey of Sim2real, Digital Twins, and Parallel Intelligence Abstract: Safety and cost are two important concerns for the development of autonomous driving technologies. From the academic research to commercial applications of autonomous driving vehicles, sufficient sim...	[ 18544, 28396 ]	Train
43,736	30	Title: SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images Abstract: Visual question answering on document images that contain textual, visual, and layout information, called document VQA, has received much attention recently. Although many datasets have been proposed for developing document V...	[ 19066, 26338 ]	Train
43,737	16	Title: Score Priors Guided Deep Variational Inference for Unsupervised Real-World Single Image Denoising Abstract: Real-world single image denoising is crucial and practical in computer vision. Bayesian inversions combined with score priors now have proven effective for single image denoising but are limited to white G...	[]	Train
43,738	24	Title: A Survey on Recent Teacher-student Learning Studies Abstract: Knowledge distillation is a method of transferring the knowledge from a complex deep neural network (DNN) to a smaller and faster DNN, while preserving its accuracy. Recent variants of knowledge distillation include teaching assistant distillation, cu...	[ 35947, 9251, 8940 ]	Train
43,739	34	Title: Optimal mixing of the down-up walk on independent sets of a given size Abstract: Let $G$ be a graph on $n$ vertices of maximum degree $\Delta$. We show that, for any $\delta>0$, the down-up walk on independent sets of size $k \leq (1-\delta)\alpha_c(\Delta)n$ mixes in time $O_{\Delta,\delta}(k\log{n})$, thereby ...	[]	Train
43,740	16	Title: Towards Diverse Temporal Grounding under Single Positive Labels Abstract: Temporal grounding aims to retrieve moments of the described event within an untrimmed video by a language query. Typically, existing methods assume annotations are precise and unique, yet one query may describe multiple moments in many ca...	[]	Test
43,741	30	Title: Improving Non-autoregressive Translation Quality with Pretrained Language Model, Embedding Distillation and Upsampling Strategy for CTC Abstract: Non-autoregressive approaches aim to improve the inference speed of translation models, particularly those that generate output in a one-pass forward manner. However, ...	[]	Train
43,742	16	Title: An Improved Encoder-Decoder Framework for Food Energy Estimation Abstract: Dietary assessment is essential to maintaining a healthy lifestyle. Automatic image-based dietary assessment is a growing field of research due to the increasing prevalence of image capturing devices (e.g. mobile phones). In this work, we...	[ 6272, 14129, 13384, 34739 ]	Test
43,743	28	Title: Minimum-Latency Scheduling For Partial-Information Multiple Access Schemes Abstract: Partial-information multiple access (PIMA) is an orthogonal multiple access (OMA) uplink scheme where time is divided into frames, each composed of two parts. The first part is used to count the number of users with packets to t...	[ 15986 ]	Train
43,744	24	Title: A Bayesian approach to quantifying uncertainties and improving generalizability in traffic prediction models Abstract: Deep-learning models for traffic data prediction can have superior performance in modeling complex functions using a multi-layer architecture. However, a major drawback of these approaches is th...	[]	Train
43,745	24	Title: Annealing Self-Distillation Rectification Improves Adversarial Training Abstract: In standard adversarial training, models are optimized to fit one-hot labels within allowable adversarial perturbation budgets. However, the ignorance of underlying distribution shifts brought by perturbations causes the problem of...	[ 10606 ]	Test
43,746	30	Title: FIREBALL: A Dataset of Dungeons and Dragons Actual-Play with Structured Game State Information Abstract: Dungeons & Dragons (D&D) is a tabletop roleplaying game with complex natural language interactions between players and hidden state information.Recent work has shown that large language models (LLMs) that hav...	[ 14145, 20995 ]	Validation
43,747	23	Title: The BET project: Behavior-enabled IoT Abstract: IoT is changing the way Internet is used due to the availability of a large amount of data timely collected from every-day life objects. Designing applications in this new scenario poses new challenges. This extended abstract discusses them and presents the objecti...	[]	Train
43,748	16	Title: MMANet: Margin-Aware Distillation and Modality-Aware Regularization for Incomplete Multimodal Learning Abstract: Multimodal learning has shown great potentials in numerous scenes and attracts increasing interest recently. However, it often encounters the problem of missing modality data and thus suffers severe p...	[]	Train
43,749	24	Title: Better Training of GFlowNets with Local Credit and Incomplete Trajectories Abstract: Generative Flow Networks or GFlowNets are related to Monte-Carlo Markov chain methods (as they sample from a distribution specified by an energy function), reinforcement learning (as they learn a policy to sample composed object...	[ 17762, 36006, 40424, 35628, 15438, 24784, 9778, 32279, 21081 ]	Test
43,750	6	Title: Auto-Paízo Games: Towards Understanding the Design of Games that Aim to Unify a Player's Physical Body and the Virtual World Abstract: Most digital bodily games focus on the body as they use movement as input. However, they also draw the player's focus away from the body as the output occurs on visual displays, ...	[]	Train
43,751	28	Title: Multi-User Distributed Computing Via Compressed Sensing Abstract: The multi-user linearly-separable distributed computing problem is considered here, in which N servers help to compute the real-valued functions requested by K users, where each function can be written as a linear combination of up to L (generally...	[]	Train
43,752	24	Title: (Local) Differential Privacy has NO Disparate Impact on Fairness Abstract: nan	[]	Train
43,753	28	Title: On Euclidean, Hermitian and symplectic quasi-cyclic complementary dual codes Abstract: Linear complementary dual codes (LCD) intersect trivially with their dual. In this paper, we develop a new characterization for LCD codes, which allows us to judge the complementary duality of linear codes from the codeword le...	[ 35691, 7283 ]	Validation
43,754	24	Title: Convergence of Alternating Gradient Descent for Matrix Factorization Abstract: We consider alternating gradient descent (AGD) with fixed step size $\eta>0$, applied to the asymmetric matrix factorization objective. We show that, for a rank-$r$ matrix $\mathbf{A} \in \mathbb{R}^{m \times n}$, $T = \left( \left(\f...	[]	Test
43,755	20	Title: The Localized Union-of-Balls Bifiltration Abstract: We propose an extension of the classical union-of-balls filtration of persistent homology: fixing a point $q$, we focus our attention to a ball centered at $q$ whose radius is controlled by a second scale parameter. We discuss an absolute variant, where the uni...	[]	Train
43,756	30	Title: Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction Abstract: Relation extraction (RE) aims to extract potential relations according to the context of two entities, thus, deriving rational contexts from sentences plays an important role. Previous works either focus on how...	[ 35440, 25106, 15300, 1326 ]	Train
43,757	34	Title: Optimal distance query reconstruction for graphs without long induced cycles Abstract: Let $G=(V,E)$ be an $n$-vertex connected graph of maximum degree $\Delta$. Given access to $V$ and an oracle that given two vertices $u,v\in V$, returns the shortest path distance between $u$ and $v$, how many queries are need...	[]	Validation
43,758	24	Title: The 3D Structural Phenotype of the Glaucomatous Optic Nerve Head and its Relationship with The Severity of Visual Field Damage Abstract: Purpose: To describe the 3D structural changes in both connective and neural tissues of the optic nerve head (ONH) that occur concurrently at different stages of glaucoma using...	[]	Validation
43,759	6	Title: Towards Human-AI Collaborative Urban Science Research Enabled by Pre-trained Large Language Models Abstract: Pre-trained large language models (PLMs) have the potential to support urban science research through content creation, information extraction, assisted programming, text classification, and other technic...	[ 11273, 25227, 35388 ]	Train
43,760	26	Title: A Multi-factorial Analysis of Polarization on Social Media Abstract: Polarization is an increasingly worrying phenomenon within social media. Recent work has made it possible to detect and even quantify polarization. Nevertheless, the few existing metrics, although defined in a continuous space, often lead to a ...	[]	Validation
43,761	24	Title: Loss minimization yields multicalibration for large neural networks Abstract: Multicalibration is a notion of fairness that aims to provide accurate predictions across a large set of groups. Multicalibration is known to be a different goal than loss minimization, even for simple predictors such as linear functio...	[ 19937, 29754, 29375 ]	Validation
43,762	14	Title: Some New Non-Commutative Matrix Multiplication Algorithms of Size (n, m, 6) Abstract: For various $2\leq n,m \leq 6$, we propose some new algorithms for multiplying an $n\times m$ matrix with an $m \times 6$ matrix over a possibly noncommutative coefficient ring.	[]	Test
43,763	4	Title: Machine Unlearning: A Survey Abstract: Machine learning has attracted widespread attention and evolved into an enabling technology for a wide range of highly successful applications, such as intelligent computer vision, speech recognition, medical diagnosis, and more. Yet a special need has arisen where, due to ...	[]	Train
43,764	30	Title: Creating Large Language Model Resistant Exams: Guidelines and Strategies Abstract: The proliferation of Large Language Models (LLMs), such as ChatGPT, has raised concerns about their potential impact on academic integrity, prompting the need for LLM-resistant exam designs. This article investigates the performan...	[ 45659 ]	Train
43,765	6	Title: Alexa Arena: A User-Centric Interactive Platform for Embodied AI Abstract: We introduce Alexa Arena, a user-centric simulation platform for Embodied AI (EAI) research. Alexa Arena provides a variety of multi-room layouts and interactable objects, for the creation of human-robot interaction (HRI) missions. With u...	[ 22045, 41566 ]	Train
43,766	30	Title: Can the Inference Logic of Large Language Models be Disentangled into Symbolic Concepts? Abstract: In this paper, we explain the inference logic of large language models (LLMs) as a set of symbolic concepts. Many recent studies have discovered that traditional DNNs usually encode sparse symbolic concepts. Howeve...	[ 33097, 4705, 5756, 13001 ]	Train
43,767	10	Title: Identifiability of direct effects from summary causal graphs Abstract: Dynamic structural causal models (SCMs) are a powerful framework for reasoning in dynamic systems about direct effects which measure how a change in one variable affects another variable while holding all other variables constant. The causal ...	[ 44750 ]	Test
43,768	16	Title: EverLight: Indoor-Outdoor Editable HDR Lighting Estimation Abstract: Because of the diversity in lighting environments, existing illumination estimation techniques have been designed explicitly on indoor or outdoor environments. Methods have focused specifically on capturing accurate energy (e.g., through parame...	[]	Train
43,769	23	Title: Log Parsing with Prompt-based Few-shot Learning Abstract: Logs generated by large-scale software systems provide crucial information for engineers to understand the system status and diagnose problems of the systems. Log parsing, which converts raw log messages into structured data, is the first step to enabling...	[ 19032, 35289, 40846, 7096, 29465 ]	Train
43,770	23	Title: On the Benefits of Semi-Supervised Test Case Generation for Cyber-Physical Systems Abstract: Testing complex Cyber Physical Systems (CPSs) can be expensive and time consuming. Current state-of-the-art methods that explore this problem are fully-supervised; i.e. they require that all examples are labeled. On the ...	[ 45292 ]	Train
43,771	16	Title: Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis Abstract: Recent text-to-image generative models can generate high-fidelity images from text inputs, but the quality of these generated images cannot be accurately evaluated by existing evaluation metrics. To...	[ 37152, 6145, 40330, 34701, 20435, 36084 ]	Train
43,772	16	Title: MindDiffuser: Controlled Image Reconstruction from Human Brain Activity with Semantic and Structural Diffusion Abstract: Reconstructing visual stimuli from measured functional magnetic resonance imaging (fMRI) has been a meaningful and challenging task. Previous studies have successfully achieved reconstructions...	[ 10813 ]	Test
43,773	8	Title: Cross-Layer Assisted Early Congestion Control for Cloud VR Services in 5G Edge Network Abstract: Cloud virtual reality (VR) has emerged as a promising technology, offering users a highly immersive and easily accessible experience. However, the current 5G radio access network faces challenges in accommodating the...	[]	Validation
43,774	24	Title: Client Selection for Generalization in Accelerated Federated Learning: A Multi-Armed Bandit Approach Abstract: Federated learning (FL) is an emerging machine learning (ML) paradigm used to train models across multiple nodes (i.e., clients) holding local data sets, without explicitly exchanging the data. It has a...	[]	Train
43,775	24	Title: Cached Operator Reordering: A Unified View for Fast GNN Training Abstract: Graph Neural Networks (GNNs) are a powerful tool for handling structured graph data and addressing tasks such as node classification, graph classification, and clustering. However, the sparse nature of GNN computation poses new challenges...	[]	Train
43,776	30	Title: Cross-Lingual NER for Financial Transaction Data in Low-Resource Languages Abstract: We propose an efficient modeling framework for cross-lingual named entity recognition in semi-structured text data. Our approach relies on both knowledge distillation and consistency training. The modeling framework leverages kn...	[]	Train
43,777	27	Title: Disturbance Injection Under Partial Automation: Robust Imitation Learning for Long-Horizon Tasks Abstract: Partial Automation (PA) with intelligent support systems has been introduced in industrial machinery and advanced automobiles to reduce the burden of long hours of human operation. Under PA, operators perfo...	[]	Train

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