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
20,878	36	Title: Optimal Seat Arrangement: What Are the Hard and Easy Cases? Abstract: We study four NP-hard optimal seat arrangement problems which each have as input a set of n agents, where each agent has cardinal preferences over other agents, and an n-vertex undirected graph (called the seat graph). The task is to assign ea...	[ 6226 ]	Train
20,879	30	Title: An Effective Data Creation Pipeline to Generate High-quality Financial Instruction Data for Large Language Model Abstract: At the beginning era of large language model, it is quite critical to generate a high-quality financial dataset to fine-tune a large language model for financial related tasks. Thus, this pa...	[ 36179, 3795 ]	Train
20,880	28	Title: Zero-Error Distributed Function Compression Abstract: In this paper, we put forward the model of zero-error distributed function compression system of two binary memoryless sources X and Y as depicted in Fig. 1. In the model, there are two encoders En1 and En2 and one decoder De, connected by two channels with c...	[]	Test
20,881	6	Title: Do You Trust ChatGPT? - Perceived Credibility of Human and AI-Generated Content Abstract: This paper examines how individuals perceive the credibility of content originating from human authors versus content generated by large language models, like the GPT language model family that powers ChatGPT, in different ...	[ 44419, 25227, 22476, 44173, 13278 ]	Train
20,882	24	Title: Learning Distributions via Monte-Carlo Marginalization Abstract: We propose a novel method to learn intractable distributions from their samples. The main idea is to use a parametric distribution model, such as a Gaussian Mixture Model (GMM), to approximate intractable distributions by minimizing the KL-divergen...	[ 18791, 13774, 40912, 33393, 39708 ]	Validation
20,883	24	Title: The XAISuite framework and the implications of explanatory system dissonance Abstract: Explanatory systems make machine learning models more transparent. However, they are often inconsistent. In order to quantify and isolate possible scenarios leading to this discrepancy, this paper compares two explanatory syst...	[]	Train
20,884	22	Title: A denotationally-based program logic for higher-order store Abstract: Separation logic is used to reason locally about stateful programs. State of the art program logics for higher-order store are usually built on top of untyped operational semantics, in part because traditional denotational methods have struggl...	[]	Validation
20,885	30	Title: HAlf-MAsked Model for Named Entity Sentiment analysis Abstract: Named Entity Sentiment analysis (NESA) is one of the most actively developing application domains in Natural Language Processing (NLP). Social media NESA is a significant field of opinion analysis since detecting and tracking sentiment trends in the...	[ 22720 ]	Train
20,886	4	Title: Improving the Security of United States Elections with Robust Optimization Abstract: For more than a century, election officials across the United States have inspected voting machines before elections using a procedure called Logic and Accuracy Testing (LAT). This procedure consists of election officials castin...	[]	Train
20,887	15	Title: At-scale evaluation of weight clustering to enable energy-efficient object detection Abstract: nan	[]	Validation
20,888	24	Title: Who Needs Decoders? Efficient Estimation of Sequence-level Attributes Abstract: State-of-the-art sequence-to-sequence models often require autoregressive decoding, which can be highly expensive. However, for some downstream tasks such as out-of-distribution (OOD) detection and resource allocation, the actual dec...	[ 23917 ]	Test
20,889	24	Title: Feasibility and Transferability of Transfer Learning: A Mathematical Framework Abstract: Transfer learning is an emerging and popular paradigm for utilizing existing knowledge from previous learning tasks to improve the performance of new ones. Despite its numerous empirical successes, theoretical analysis for t...	[]	Train
20,890	24	Title: Robust Deep Learning Models against Semantic-Preserving Adversarial Attack Abstract: Deep learning models can be fooled by small $l_{p}$ -norm adversarial perturbations and natural perturbations in terms of attributes. Although the robustness against each perturbation has been explored, it remains a challenge to...	[]	Train
20,891	32	Title: Py-Tetrad and RPy-Tetrad: A New Python Interface with R Support for Tetrad Causal Search Abstract: We give novel Python and R interfaces for the (Java) Tetrad project for causal modeling, search, and estimation. The Tetrad project is a mainstay in the literature, having been under consistent development for over...	[]	Train
20,892	24	Title: Evaluating ChatGPT and GPT-4 for Visual Programming Abstract: Generative AI has the potential to drastically improve the landscape of computing education by automatically generating personalized feedback and content. In particular, this potential lies in the advanced capabilities of state-of-the-art deep generat...	[ 33220, 5157, 40166, 13510, 44452, 21487, 31898, 6844, 42173 ]	Train
20,893	15	Title: A Cycle-level Unified DRAM Cache Controller Model for 3DXPoint Memory Systems in gem5 Abstract: To accommodate the growing memory footprints of today's applications, CPU vendors have employed large DRAM caches, backed by large non-volatile memories like Intel Optane (e.g., Intel's Cascade Lake). The existing com...	[ 14082 ]	Validation
20,894	27	Title: RL-based Variable Horizon Model Predictive Control of Multi-Robot Systems using Versatile On-Demand Collision Avoidance Abstract: Multi-robot systems have become very popular in recent years because of their wide spectrum of applications, ranging from surveillance to cooperative payload transportation. Model Pre...	[]	Train
20,895	24	Title: A physics-informed and attention-based graph learning approach for regional electric vehicle charging demand prediction Abstract: Along with the proliferation of electric vehicles (EVs), optimizing the use of EV charging space can significantly alleviate the growing load on intelligent transportation systems. As...	[]	Validation
20,896	16	Title: Representation Disparity-aware Distillation for 3D Object Detection Abstract: In this paper, we focus on developing knowledge distillation (KD) for compact 3D detectors. We observe that off-the-shelf KD methods manifest their efficacy only when the teacher model and student counterpart share similar intermediate...	[]	Train
20,897	26	Title: You are a Bot! - Studying the Development of Bot Accusations on Twitter Abstract: The characterization and detection of bots with their presumed ability to manipulate society on social media platforms have been subject to many research endeavors over the last decade. In the absence of ground truth data (i.e., ac...	[]	Train
20,898	13	Title: Deep Spiking-UNet for Image Processing Abstract: U-Net, known for its simple yet efficient architecture, is widely utilized for image processing tasks and is particularly suitable for deployment on neuromorphic chips. This paper introduces the novel concept of Spiking-UNet for image processing, which combines th...	[]	Train
20,899	16	Title: C-CLIP: Contrastive Image-Text Encoders to Close the Descriptive-Commentative Gap Abstract: The interplay between the image and comment on a social media post is one of high importance for understanding its overall message. Recent strides in multimodal embedding models, namely CLIP, have provided an avenue forwa...	[]	Test
20,900	6	Title: Examining the Impact of Provenance-Enabled Media on Trust and Accuracy Perceptions Abstract: In recent years, industry leaders and researchers have proposed to use technical provenance standards to address visual misinformation spread through digitally altered media. By adding immutable and secure provenance inf...	[ 39680 ]	Train
20,901	16	Title: Semantic-embedded Similarity Prototype for Scene Recognition Abstract: Due to the high inter-class similarity caused by the complex composition within scenes and the co-existing objects across scenes, various studies have explored object semantic knowledge within scenes to improve scene recognition. However, a r...	[]	Validation
20,902	30	Title: MedNgage: A Dataset for Understanding Engagement in Patient-Nurse Conversations Abstract: Patients who effectively manage their symptoms often demonstrate higher levels of engagement in conversations and interventions with healthcare practitioners. This engagement is multifaceted, encompassing cognitive and soci...	[]	Validation
20,903	30	Title: Simple Rule Injection for ComplEx Embeddings Abstract: Recent works in neural knowledge graph inference attempt to combine logic rules with knowledge graph embeddings to benefit from prior knowledge. However, they usually cannot avoid rule grounding, and injecting a diverse set of rules has still not been thorou...	[]	Train
20,904	3	Title: Knowledge-enhanced Neuro-Symbolic AI for Cybersecurity and Privacy Abstract: Neuro-Symbolic Artificial Intelligence (AI) is an emerging and quickly advancing field that combines the subsymbolic strengths of (deep) neural networks and explicit, symbolic knowledge contained in knowledge graphs to enhance explainab...	[]	Validation
20,905	30	Title: FaceChat: An Emotion-Aware Face-to-face Dialogue Framework Abstract: While current dialogue systems like ChatGPT have made significant advancements in text-based interactions, they often overlook the potential of other modalities in enhancing the overall user experience. We present FaceChat, a web-based dialogue...	[ 21778, 9022, 41570 ]	Validation
20,906	16	Title: Training Priors Predict Text-To-Image Model Performance Abstract: Text-to-image models can often generate some relations, i.e.,"astronaut riding horse", but fail to generate other relations composed of the same basic parts, i.e.,"horse riding astronaut". These failures are often taken as evidence that the models...	[ 13510, 22760, 36084, 3067, 10527 ]	Test
20,907	8	Title: User-aware WLAN Transmit Power Control in the Wild Abstract: In Wireless Local Area Networks (WLANs), Access point (AP) transmit power influences (i) received signal quality for users and thus user throughput, (ii) user association and thus load across APs and (iii) AP coverage ranges and thus interference in th...	[]	Train
20,908	11	Title: Co-evolution of Social and Non-Social Guilt Abstract: Building ethical machines may involve bestowing upon them the emotional capacity to self-evaluate and repent on their actions. While reparative measures, such as apologies, are often considered as possible strategic interactions, the explicit evolution of the...	[]	Test
20,909	24	Title: Shapley Sets: Feature Attribution via Recursive Function Decomposition Abstract: Despite their ubiquitous use, Shapley value feature attributions can be misleading due to feature interaction in both model and data. We propose an alternative attribution approach, Shapley Sets, which awards value to sets of featur...	[]	Train
20,910	28	Title: Physical Layer Security in Near-Field Communications: What Will Be Changed? Abstract: A near-field secure transmission framework is proposed. Employing the hybrid beamforming architecture, a multi-antenna base station (BS) transmits confidential information to a multi-antenna legitimate user (U) against a multi-...	[ 7087, 6959 ]	Validation
20,911	24	Title: Zero-th Order Algorithm for Softmax Attention Optimization Abstract: Large language models (LLMs) have brought about significant transformations in human society. Among the crucial computations in LLMs, the softmax unit holds great importance. Its helps the model generating a probability distribution on potentia...	[ 40196, 39573, 32416, 11809, 13100, 24635, 33220, 13510, 15561, 17354, 29006, 7643, 20449, 12898, 34404, 2668, 40301, 8436, 7159, 11128 ]	Validation
20,912	30	Title: BM25 Query Augmentation Learned End-to-End Abstract: Given BM25's enduring competitiveness as an information retrieval baseline, we investigate to what extent it can be even further improved by augmenting and re-weighting its sparse query-vector representation. We propose an approach to learning an augmentation ...	[]	Test
20,913	6	Title: INDCOR white paper 4: Evaluation of Interactive Narrative Design For Complexity Representations Abstract: While a strength of Interactive Digital Narratives (IDN) is its support for multiperspectivity, this also poses a substantial challenge to its evaluation. Moreover, evaluation has to assess the system's abil...	[ 18789, 30943 ]	Test
20,914	24	Title: Interpretable Diversity Analysis: Visualizing Feature Representations in Low-Cost Ensembles Abstract: Diversity is an important consideration in the construction of robust neural network ensembles. A collection of well trained models will generalize better if they are diverse in the patterns they respond to and ...	[]	Validation
20,915	24	Title: Aleatoric and Epistemic Discrimination in Classification Abstract: Machine learning (ML) models can underperform on certain population groups due to choices made during model development and bias inherent in the data. We categorize sources of discrimination in the ML pipeline into two classes: aleatoric discrimi...	[]	Test
20,916	16	Title: The Big Data Myth: Using Diffusion Models for Dataset Generation to Train Deep Detection Models Abstract: Despite the notable accomplishments of deep object detection models, a major challenge that persists is the requirement for extensive amounts of training data. The process of procuring such real-world data i...	[]	Train
20,917	1	Title: Multi-resolution encoding and optimization for next generation video compression Abstract: Multi-encoding implies encoding the same content in multiple spatial resolutions andmultiple bitrates. This work evaluates the encoder analysis correlations across 2160p, 1080p, and 540p encodings of the same video for con...	[]	Test
20,918	24	Title: Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness Abstract: Learning from raw high dimensional data via interaction with a given environment has been effectively achieved through the utilization of deep neural networks. Yet the observed degradation in policy performance caused by impe...	[ 29333 ]	Train
20,919	24	Title: Representing Input Transformations by Low-Dimensional Parameter Subspaces Abstract: Deep models lack robustness to simple input transformations such as rotation, scaling, and translation, unless they feature a particular invariant architecture or undergo specific training, e.g., learning the desired robustness f...	[]	Train
20,920	28	Title: Splitting Receiver with Multiple Antennas Abstract: Recently proposed splitting receivers, utilizing both coherently and non-coherently processed signals for detection, have demonstrated remarkable performance gain compared to conventional receivers in the single-antenna scenario. In this paper, we propose a mul...	[]	Train
20,921	27	Title: A Pendulum-Driven Legless Rolling Jumping Robot Abstract: In this paper, we present a novel rolling, jumping robot. The robot consists of a driven pendulum mounted to a wheel in a compact, lightweight, 3D printed design. We show that by using the driven pendulum to change it's weight distribution, the robot is a...	[]	Train
20,922	27	Title: Attitude-Estimation-Free GNSS and IMU Integration Abstract: A global navigation satellite system (GNSS) is a sensor that can acquire 3D position and velocity in an earth-fixed coordinate system and is widely used for outdoor position estimation of robots and vehicles. Various GNSS/inertial measurement unit (IMU)...	[]	Test
20,923	13	Title: Reducing the Price of Stable Cable Stayed Bridges with CMA-ES Abstract: The design of cable-stayed bridges requires the determination of several design variables' values. Civil engineers usually perform this task by hand as an iteration of steps that stops when the engineer is happy with both the cost and mainta...	[]	Train
20,924	23	Title: Towards An Empirical Theory of Ideologies in the Open Source Software Movement Abstract: Encompassing a diverse population of developers, non-technical users, organizations, and many other stakeholders, open source software (OSS) development has expanded to broader social movements from the initial product devel...	[]	Test
20,925	16	Title: Exploring the Transfer Learning Capabilities of CLIP in Domain Generalization for Diabetic Retinopathy Abstract: Diabetic Retinopathy (DR), a leading cause of vision impairment, requires early detection and treatment. Developing robust AI models for DR classification holds substantial potential, but a key challe...	[ 8664 ]	Test
20,926	16	Title: UniS-MMC: Multimodal Classification via Unimodality-supervised Multimodal Contrastive Learning Abstract: Multimodal learning aims to imitate human beings to acquire complementary information from multiple modalities for various downstream tasks. However, traditional aggregation-based multimodal fusion methods ig...	[]	Train
20,927	16	Title: Query-guided Attention in Vision Transformers for Localizing Objects Using a Single Sketch Abstract: In this work, we investigate the problem of sketch-based object localization on natural images, where given a crude hand-drawn sketch of an object, the goal is to localize all the instances of the same object on ...	[]	Train
20,928	39	Title: Compatibility graphs in scheduling on batch processing machines Abstract: We consider the problem of minimizing the makespan on batch processing identical machines, subject to compatibility constraints, where two jobs are compatible if they can be processed simultaneously in a same batch. These constraints are m...	[]	Train
20,929	13	Title: Lottery tickets in evolutionary optimization: On sparse backpropagation-free trainability Abstract: Lottery tickets in Deep Learning [2] refer to highly sparse neural network initializations, which train to the performance level of their dense counterparts The existence of such sparse trainable initializations h...	[ 28832 ]	Test
20,930	24	Title: Solving Large-scale Spatial Problems with Convolutional Neural Networks Abstract: Over the past decade, deep learning research has been accelerated by increasingly powerful hardware, which facilitated rapid growth in the model complexity and the amount of data ingested. This is becoming unsustainable and therefo...	[ 13700, 7277 ]	Train
20,931	24	Title: Modelling customer lifetime-value in the retail banking industry Abstract: Understanding customer lifetime value is key to nurturing long-term customer relationships, however, estimating it is far from straightforward. In the retail banking industry, commonly used approaches rely on simple heuristics and do not ...	[]	Validation
20,932	16	Title: A New Perspective to Boost Vision Transformer for Medical Image Classification Abstract: Transformer has achieved impressive successes for various computer vision tasks. However, most of existing studies require to pretrain the Transformer backbone on a large-scale labeled dataset (e.g., ImageNet) for achieving ...	[]	Validation
20,933	26	Title: I am a global citizen. Or am I not? International Business Schools students and Global Citizenship unified framework & a scoping literature review of the last decade (2013-2022) Abstract: This review examines the scientific articles of the last decade, approaching the subject through the methodology of the scopi...	[]	Validation
20,934	24	Title: Explaining the effects of non-convergent sampling in the training of Energy-Based Models Abstract: In this paper, we quantify the impact of using non-convergent Markov chains to train Energy-Based models (EBMs). In particular, we show analytically that EBMs trained with non-persistent short runs to estimate the ...	[ 23868, 35814 ]	Train
20,935	23	Title: Unity is Strength: Cross-Task Knowledge Distillation to Improve Code Review Generation Abstract: Code review is a fundamental process in software development that plays a critical role in ensuring code quality and reducing the likelihood of errors and bugs. However, code review might be complex, subjective, and ...	[]	Test
20,936	27	Title: Resilient source seeking with robot swarms Abstract: We present a solution for locating the source, or maximum, of an unknown scalar field using a swarm of mobile robots. Unlike relying on the traditional gradient information, the swarm determines an ascending direction to approach the source with arbitrary prec...	[]	Train
20,937	30	Title: NLP Reproducibility For All: Understanding Experiences of Beginners Abstract: As natural language processing (NLP) has recently seen an unprecedented level of excitement, and more people are eager to enter the field, it is unclear whether current research reproducibility efforts are sufficient for this group of ...	[]	Train
20,938	24	Title: Synthesizing Programmatic Policies with Actor-Critic Algorithms and ReLU Networks Abstract: Programmatically Interpretable Reinforcement Learning (PIRL) encodes policies in human-readable computer programs. Novel algorithms were recently introduced with the goal of handling the lack of gradient signal to guide t...	[]	Train
20,939	16	Title: Model Explainability in Physiological and Healthcare-based Neural Networks Abstract: The estimation and monitoring of SpO2 are crucial for assessing lung function and treating chronic pulmonary diseases. The COVID-19 pandemic has highlighted the importance of early detection of changes in SpO2, particularly in a...	[]	Train
20,940	16	Title: Compositional Feature Augmentation for Unbiased Scene Graph Generation Abstract: Scene Graph Generation (SGG) aims to detect all the visual relation tripletsin a given image. With the emergence of various advanced techniques for better utilizing both the intrinsic and extrinsic information in each relation tripl...	[ 26606, 44534, 17179, 29582 ]	Train
20,941	16	Title: Energy-Inspired Self-Supervised Pretraining for Vision Models Abstract: Motivated by the fact that forward and backward passes of a deep network naturally form symmetric mappings between input and output representations, we introduce a simple yet effective self-supervised vision model pretraining framework inspi...	[ 3291, 29135 ]	Train
20,942	8	Title: Faster Control Plane Experimentation with Horse Abstract: Simulation and emulation are popular approaches for experimentation in Computer Networks. However, due to their respective inherent drawbacks, existing solutions cannot perform both fast and realistic control plane experiments. To close this gap, we intro...	[]	Train
20,943	24	Title: Boosting Unsupervised Contrastive Learning Using Diffusion-Based Data Augmentation From Scratch Abstract: Unsupervised contrastive learning methods have recently seen significant improvements, particularly through data augmentation strategies that aim to produce robust and generalizable representations. However,...	[ 15275 ]	Test
20,944	24	Title: Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations Abstract: Coupled partial differential equations (PDEs) are key tasks in modeling the complex dynamics of many physical processes. Recently, neural operators have shown the ability to solve PDEs by learning the integral kern...	[]	Validation
20,945	30	Title: Reasoning over Hierarchical Question Decomposition Tree for Explainable Question Answering Abstract: Explainable question answering (XQA) aims to answer a given question and provide an explanation why the answer is selected. Existing XQA methods focus on reasoning on a single knowledge source, e.g., structured k...	[]	Validation
20,946	16	Title: Increasing the usefulness of already existing annotations through WSI registration Abstract: Computational pathology methods have the potential to improve access to precision medicine, as well as the reproducibility and accuracy of pathological diagnoses. Particularly the analysis of whole-slide-images (WSIs) of...	[]	Train
20,947	6	Title: Computationally efficient human body modelling for real time motion comfort assessment Abstract: Due to the complexity of the human body and its neuromuscular stabilization, it has been challenging to efficiently and accurately predict human motion and capture posture while being driven. Existing simple models o...	[ 25305, 42637 ]	Train
20,948	16	Title: Knowing the Distance: Understanding the Gap Between Synthetic and Real Data For Face Parsing Abstract: The use of synthetic data for training computer vision algorithms has become increasingly popular due to its cost-effectiveness, scalability, and ability to provide accurate multi-modality labels. Although rece...	[ 6953 ]	Train
20,949	16	Title: MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation Abstract: Recent advances in text-to-image generation with diffusion models present transformative capabilities in image quality. However, user controllability of the generated image, and fast adaptation to new tasks still remains an open cha...	[ 23168, 3203, 41988, 43144, 25739, 33932, 30094, 7955, 24986, 34074, 10527, 2211, 9276, 18240, 25666, 3912, 36168, 4559, 2769, 30936, 34141, 6880, 17378, 2921, 15721, 14956, 45933, 28279, 45688, 20474, 40828 ]	Train
20,950	18	Title: Reconfigurable cascaded thermal neuristors for neuromorphic computing Abstract: While the complementary metal-oxide semiconductor (CMOS) technology is the mainstream for the hardware implementation of neural networks, we explore an alternative route based on a new class of spiking oscillators we call thermal neu...	[]	Test
20,951	23	Title: A Composable Just-In-Time Programming Framework with LLMs and FBP Abstract: This paper introduces a computing framework that combines Flow-Based Programming (FBP) and Large Language Models (LLMs) to enable Just-In-Time Programming (JITP). JITP empowers users, regardless of their programming expertise, to activel...	[ 33220, 34390 ]	Train
20,952	10	Title: AiXpand AI OS - Decentralized ubiquitous computing MLOps execution engine Abstract: Over the past few years, ubiquitous, or pervasive computing has gained popularity as the primary approach for a wide range of applications, including enterprise-grade systems, consumer applications, and gaming systems. Ubiquitous...	[]	Test
20,953	24	Title: Label Denoising through Cross-Model Agreement Abstract: Learning from corrupted labels is very common in real-world machine-learning applications. Memorizing such noisy labels could affect the learning of the model, leading to sub-optimal performances. In this work, we propose a novel framework to learn robust m...	[]	Train
20,954	27	Title: Soft-tissue Driven Craniomaxillofacial Surgical Planning Abstract: In CMF surgery, the planning of bony movement to achieve a desired facial outcome is a challenging task. Current bone driven approaches focus on normalizing the bone with the expectation that the facial appearance will be corrected accordingly. H...	[]	Train
20,955	16	Title: UGainS: Uncertainty Guided Anomaly Instance Segmentation Abstract: A single unexpected object on the road can cause an accident or may lead to injuries. To prevent this, we need a reliable mechanism for finding anomalous objects on the road. This task, called anomaly segmentation, can be a stepping stone to safe...	[ 20536, 17633, 27866, 18470 ]	Test
20,956	3	Title: Fiduciary Responsibility: Facilitating Public Trust in Automated Decision Making Abstract: Automated decision-making systems are being increasingly deployed and affect the public in a multitude of positive and negative ways. Governmental and private institutions use these systems to process information according...	[]	Train
20,957	8	Title: A Revolution of Personalized Healthcare: Enabling Human Digital Twin with Mobile AIGC Abstract: Mobile Artificial Intelligence-Generated Content (AIGC) technology refers to the adoption of AI algorithms deployed at mobile edge networks to automate the information creation process while fulfilling the requirement...	[]	Train
20,958	24	Title: Learning Capacity: A Measure of the Effective Dimensionality of a Model Abstract: We exploit a formal correspondence between thermodynamics and inference, where the number of samples can be thought of as the inverse temperature, to define a"learning capacity'' which is a measure of the effective dimensionality o...	[ 36977 ]	Validation
20,959	31	Title: FALQU: Finding Answers to Legal Questions Abstract: This paper presents a new test collection for Legal IR, FALQU: Finding Answers to Legal Questions, where questions and answers were obtained from Law Stack Exchange (LawSE), a Q&A website for legal professionals, and others with experience in law. Much in line ...	[]	Train
20,960	16	Title: FateZero: Fusing Attentions for Zero-shot Text-based Video Editing Abstract: The diffusion-based generative models have achieved remarkable success in text-based image generation. However, since it contains enormous randomness in generation progress, it is still challenging to apply such models for real-world vi...	[ 44549, 11655, 40979, 34074, 4765, 40606, 42272, 7078, 38696, 12841, 35499, 25006, 18487, 7993, 9276, 26429, 43328, 25666, 28482, 1860, 20426, 20687, 39759, 28113, 10070, 8919, 16103, 10216, 14956, 36718, 15983, 40943, 23668, 35326 ]	Train
20,961	34	Title: TeraHAC: Hierarchical Agglomerative Clustering of Trillion-Edge Graphs Abstract: We introduce TeraHAC, a $(1+\epsilon)$-approximate hierarchical agglomerative clustering (HAC) algorithm which scales to trillion-edge graphs. Our algorithm is based on a new approach to computing $(1+\epsilon)$-approximate HAC, whi...	[]	Test
20,962	23	Title: FedDebug: Systematic Debugging for Federated Learning Applications Abstract: In Federated Learning (FL), clients independently train local models and share them with a central aggregator to build a global model. Impermissibility to access clients' data and collaborative training make FL appealing for application...	[ 15970, 3839 ]	Train
20,963	30	Title: Tollywood Emotions: Annotation of Valence-Arousal in Telugu Song Lyrics Abstract: Emotion recognition from a given music track has heavily relied on acoustic features, social tags, and metadata but is seldom focused on lyrics. There are no datasets of Indian language songs that contain both valence and arousal m...	[]	Train
20,964	5	Title: Analyzing Resource Utilization in an HPC System: A Case Study of NERSC Perlmutter Abstract: Resource demands of HPC applications vary significantly. However, it is common for HPC systems to primarily assign resources on a per-node basis to prevent interference from co-located workloads. This gap between the coar...	[]	Test
20,965	24	Title: Federated Offline Policy Learning with Heterogeneous Observational Data Abstract: We consider the problem of learning personalized decision policies on observational data from heterogeneous data sources. Moreover, we examine this problem in the federated setting where a central server aims to learn a policy on t...	[ 4885 ]	Train
20,966	16	Title: Advancing Wound Filling Extraction on 3D Faces: Auto-Segmentation and Wound Face Regeneration Approach Abstract: Facial wound segmentation plays a crucial role in preoperative planning and optimizing patient outcomes in various medical applications. In this paper, we propose an efficient approach for automating ...	[ 22258 ]	Train
20,967	3	Title: Empowering Learner-Centered Instruction: Integrating ChatGPT Python API and Tinker Learning for Enhanced Creativity and Problem-Solving Skills Abstract: The ChatGPT Python API plays a crucial role in promoting Learner-Centered Instruction (LCI) and aligns with the principles of Tinker Learning, allowing students...	[ 33090 ]	Validation
20,968	16	Title: Domain Adaptation based on Human Feedback for Enhancing Generative Model Denoising Abilities Abstract: How can we apply human feedback into generative model? As answer of this question, in this paper, we show the method applied on denoising problem and domain adaptation using human feedback. Deep generative mode...	[ 36084 ]	Train
20,969	30	Title: Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations Abstract: Large language models (LLMs) are trained to imitate humans to explain human decisions. However, do LLMs explain themselves? Can they help humans build mental models of how LLMs process different inputs? To answ...	[ 33220, 36906, 9518, 40882, 1369, 20794 ]	Train
20,970	36	Title: Information Design in Multi-Agent Reinforcement Learning Abstract: Reinforcement learning (RL) mimics how humans and animals interact with the environment. The setting is somewhat idealized because, in actual tasks, other agents in the environment have their own goals and behave adaptively to the ego agent. To t...	[ 14119 ]	Validation
20,971	24	Title: Synthetic Experience Replay Abstract: A key theme in the past decade has been that when large neural networks and large datasets combine they can produce remarkable results. In deep reinforcement learning (RL), this paradigm is commonly made possible through experience replay, whereby a dataset of past experienc...	[ 2528, 15201, 37477, 34215, 9994, 4822, 17981, 28414, 9311 ]	Train
20,972	3	Title: On Detecting Policy-Related Political Ads: An Exploratory Analysis of Meta Ads in 2022 French Election Abstract: Online political advertising has become the cornerstone of political campaigns. The budget spent solely on political advertising in the U.S. has increased by more than 100% from $ 700 million during t...	[]	Validation
20,973	16	Title: Exploiting Prompt Caption for Video Grounding Abstract: Video grounding aims to locate a moment of interest matching the given query sentence from an untrimmed video. Previous works ignore the \emph{sparsity dilemma} in video annotations, which fails to provide the context information between potential events an...	[]	Train
20,974	2	Title: Cut-Restriction: From Cuts to Analytic Cuts Abstract: Cut-elimination is the bedrock of proof theory with a multitude of applications from computational interpretations to proof analysis. It is also the starting point for important meta-theoretical investigations into decidability, complexity, disjunction proper...	[]	Test
20,975	13	Title: Epigenetics Algorithms: Self-Reinforcement-Attention mechanism to regulate chromosomes expression Abstract: Genetic algorithms are a well-known example of bio-inspired heuristic methods. They mimic natural selection by modeling several operators such as mutation, crossover, and selection. Recent discoveries abou...	[]	Train
20,976	24	Title: A Simplified Framework for Contrastive Learning for Node Representations Abstract: Contrastive learning has recently established itself as a powerful self-supervised learning framework for extracting rich and versatile data representations. Broadly speaking, contrastive learning relies on a data augmentation sch...	[]	Train
20,977	34	Title: Fault-Tolerant Spanners against Bounded-Degree Edge Failures: Linearly More Faults, Almost For Free Abstract: We study a new and stronger notion of fault-tolerant graph structures whose size bounds depend on the degree of the failing edge set, rather than the total number of faults. For a subset of faulty edges ...	[ 27969, 7698, 9618 ]	Validation

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