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ORCIDCoRR, November 2023
- Yichi Zhang, Jiayi Pan, Yuchen Zhou, Rui Pan, Joyce Chai:
Grounding Visual Illusions in Language: Do Vision-Language Models Perceive Illusions Like Humans? - Peijie Qiu
, Pan Xiao, Wenhui Zhu, Yalin Wang, Aristeidis Sotiras:
SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification. - Aysu Ismayilova, Vugar E. Ismailov:
On the Kolmogorov neural networks. - Han-Jia Ye, Qi-Le Zhou, De-Chuan Zhan:
Training-Free Generalization on Heterogeneous Tabular Data via Meta-Representation. - David Marwood, Shumeet Baluja, Yair Alon:
Diversity and Diffusion: Observations on Synthetic Image Distributions with Stable Diffusion. - Peter West, Ximing Lu, Nouha Dziri, Faeze Brahman, Linjie Li, Jena D. Hwang, Liwei Jiang, Jillian Fisher, Abhilasha Ravichander, Khyathi Raghavi Chandu, Benjamin Newman, Pang Wei Koh, Allyson Ettinger, Yejin Choi:
The Generative AI Paradox: "What It Can Create, It May Not Understand". - Sleiman Safaoui, Abraham P. Vinod, Ankush Chakrabarty, Rien Quirynen, Nobuyuki Yoshikawa, Stefano Di Cairano:
Safe multi-agent motion planning under uncertainty for drones using filtered reinforcement learning. - Joao Marono, Catarina Silva, João Paulo Barraca, Vitor A. Cunha, Paulo Salvador:
Assessing Mobile Application Privacy: A Quantitative Framework for Privacy Measurement. - Viswa Narayanan Sankaranarayanan, Sumeet Gajanan Satpute, Spandan Roy, George Nikolakopoulos:
Adaptive Control of Euler-Lagrange Systems under Time-varying State Constraints without a Priori Bounded Uncertainty. - Derya Gol Gungor, Bimba Rao, Cynthia Wolverton, Ismayil Guracar:
View Classification and Object Detection in Cardiac Ultrasound to Localize Valves via Deep Learning. - Om M. Khare, Shubham Gandhi, Aditya M. Rahalkar, Sunil Mane:
YOLOv8-Based Visual Detection of Road Hazards: Potholes, Sewer Covers, and Manholes. - Shahrima Jannat Oishwee, Natalia Stakhanova, Zadia Codabux:
Investigating Software Developers' Challenges for Android Permissions in Stack Overflow. - David Casas, Mikhail V. Volkov:
Don's conjecture for binary completely reachable automata: an approach and its limitations. - Mohammad Azizmalayeri, Reza Abbasi, Amir Hosein Haji Mohammad rezaie, Reihaneh Zohrabi, Mahdi Amiri, Mohammad Taghi Manzuri, Mohammad Hossein Rohban:
Spuriosity Rankings for Free: A Simple Framework for Last Layer Retraining Based on Object Detection. - María López-Fernández, Lukasz Plociniczak:
Convolution Quadrature for the quasilinear subdiffusion equation. - Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang:
Expressive Modeling Is Insufficient for Offline RL: A Tractable Inference Perspective. - Michal Lisicki, Mihai Nica, Graham W. Taylor:
Bandit-Driven Batch Selection for Robust Learning under Label Noise. - Ada Barach, Maxwell Taylor, Vincent Beardsley, Jacob Bambeck, Michael D. Bond, Zhiqiang Lin:
Cocoon: Static Information Flow Control in Rust. - Hugo Casquero, Kyle Dakota Mathews:
Overcoming membrane locking in quadratic NURBS-based discretizations of linear Kirchhoff-Love shells: CAS elements. - Zikai Xiong, Niccolò Dalmasso, Alan Mishler, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing. - Alberto Rigo, Muqun Hu, Satyandra K. Gupta, Quan Nguyen:
Hierarchical Optimization-based Control for Whole-body Loco-manipulation of Heavy Objects. - Zhijin Guo, Zhaozhen Xu, Martha Lewis, Nello Cristianini:
EXTRACT: Explainable Transparent Control of Bias in Embeddings. - Aarohi Srivastava, David Chiang:
BERTwich: Extending BERT's Capabilities to Model Dialectal and Noisy Text. - Pranav Gade, Simon Lermen, Charlie Rogers-Smith, Jeffrey Ladish:
BadLlama: cheaply removing safety fine-tuning from Llama 2-Chat 13B. - Gabriele D'Acunto, Francesco Bonchi, Gianmarco De Francisci Morales, Giovanni Petri:
Extracting the Multiscale Causal Backbone of Brain Dynamics. - Viet-Anh Le, Behdad Chalaki, Filippos N. Tzortzoglou, Andreas A. Malikopoulos:
Stochastic Time-Optimal Trajectory Planning for Connected and Automated Vehicles in Mixed-Traffic Merging Scenarios. - Mattia Opper, J. Morrison, N. Siddharth:
On the effect of curriculum learning with developmental data for grammar acquisition. - Mykhailo Shvets, Dongxu Zhao, Marc Niethammer, Roni Sengupta, Alexander C. Berg:
Joint Depth Prediction and Semantic Segmentation with Multi-View SAM. - Fatemeh Rajabi, Ali Mohades:
Two-Stage Classifier for Campaign Negativity Detection using Axis Embeddings: A Case Study on Tweets of Political Users during 2021 Presidential Election in Iran. - Xi Li, Songhe Wang, Chen Wu, Hao Zhou, Jiaqi Wang:
Backdoor Threats from Compromised Foundation Models to Federated Learning. - Jordan Schwartz, Madison Bohannan, Jacob Yim, Yuerou Tang, Dana Benedicto, Charisse Liu, Armando Fox, Lisa Yan, Narges Norouzi:
Developing a Tool to Automate Extensions to Support a Flexible Extension Policy. - Jake Brawer, Kayleigh Bishop, Bradley Hayes, Alessandro Roncone:
Towards A Natural Language Interface for Flexible Multi-Agent Task Assignment. - Chunxu Tang, Yi Wang, Bin Fan, Beinan Wang, Shouwei Chen, Ziyue Qiu, Chen Liang, Jing Zhao, Yu Zhu, Mingmin Chen, Zhongting Hu:
Rethinking the Cloudonomics of Efficient I/O for Data-Intensive Analytics Applications. - Guoxuan Xia, Duolikun Danier, Ayan Das, Stathi Fotiadis, Farhang Nabiei, Ushnish Sengupta, Alberto Bernacchia:
Score Normalization for a Faster Diffusion Exponential Integrator Sampler. - Xinting Huang, Jiajing Wan, Ioannis Kritikos, Nora Hollenstein:
Longer Fixations, More Computation: Gaze-Guided Recurrent Neural Networks. - Jimin Mun, Emily Allaway, Akhila Yerukola, Laura Vianna, Sarah-Jane Leslie, Maarten Sap:
Beyond Denouncing Hate: Strategies for Countering Implied Biases and Stereotypes in Language. - Abhinav Nippani, Dongyue Li, Haotian Ju, Haris N. Koutsopoulos, Hongyang R. Zhang:
Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis. - Younghyun Koo, Maryam Rahnemoonfar:
Multi-task Deep Convolutional Network to Predict Sea Ice Concentration and Drift in the Arctic Ocean. - Nathan O. Lambert, Roberto Calandra:
The Alignment Ceiling: Objective Mismatch in Reinforcement Learning from Human Feedback. - Jinhwa Kim, Ali Derakhshan, Ian G. Harris:
Robust Safety Classifier for Large Language Models: Adversarial Prompt Shield. - Mingjie Liu, Teodor-Dumitru Ene, Robert Kirby, Chris Cheng, Nathaniel Ross Pinckney, Rongjian Liang, Jonah Alben, Himyanshu Anand, Sanmitra Banerjee, Ismet Bayraktaroglu, Bonita Bhaskaran, Bryan Catanzaro, Arjun Chaudhuri, Sharon Clay, Bill Dally, Laura Dang, Parikshit Deshpande, Siddhanth Dhodhi, Sameer Halepete, Eric Hill, Jiashang Hu, Sumit Jain, Brucek Khailany, Kishor Kunal, Xiaowei Li, Hao Liu, Stuart F. Oberman, Sujeet Omar, Sreedhar Pratty, Jonathan Raiman, Ambar Sarkar, Zhengjiang Shao, Hanfei Sun, Pratik P. Suthar, Varun Tej, Kaizhe Xu, Haoxing Ren:
ChipNeMo: Domain-Adapted LLMs for Chip Design. - Wannita Takerngsaksiri, Cleshan Warusavitarne, Christian Yaacoub, Matthew Hee Keng Hou, Chakkrit Tantithamthavorn:
Students' Perspective on AI Code Completion: Benefits and Challenges. - Ce Zhang, Changcheng Fu, Shijie Wang, Nakul Agarwal, Kwonjoon Lee, Chiho Choi, Chen Sun:
Object-centric Video Representation for Long-term Action Anticipation. - Gregory Schwartzman:
Local Max-Cut on Sparse Graphs. - Dehao Yuan, Furong Huang, Cornelia Fermüller, Yiannis Aloimonos:
Decodable and Sample Invariant Continuous Object Encoder. - Daniel Hajialigol, Hanwen Liu, Xuan Wang:
XAI-CLASS: Explanation-Enhanced Text Classification with Extremely Weak Supervision. - Kyle Brown, Dylan M. Asmar, Mac Schwager, Mykel J. Kochenderfer:
Large-Scale Multi-Robot Assembly Planning for Autonomous Manufacturing. - Ryan Dorosh, Justin Allen, Zixuan He, Christopher Ninatanta, Jack Coleman, Jack Spieker, Ethan Tuck, Jordan Kurtz, Qin Zhang, Matthew D. Whiting, Jiecai Luo, Manoj Karkee, Ming Luo:
Design, Modeling, and Control of a Low-Cost and Rapid Response Soft-Growing Manipulator for Orchard Operations. - Nian-Ci Wu, Yang Zhou, Zhaolu Tian:
On the alternating randomized block Kaczmarz method. - Tong Yang, Shicong Cen, Yuting Wei, Yuxin Chen, Yuejie Chi:
Federated Natural Policy Gradient Methods for Multi-task Reinforcement Learning. - Senjuti Dutta, Sid Mittal, Sherol Chen, Deepak Ramachandran, Ravi Rajakumar, Ian Kivlichan, Sunny Mak, Alena Butryna, Praveen K. Paritosh:
Modeling subjectivity (by Mimicking Annotator Annotation) in toxic comment identification across diverse communities. - Zhen Guo, Yining Hua:
Continuous Training and Fine-tuning for Domain-Specific Language Models in Medical Question Answering. - Zhiyuan Ren, Yiyang Su, Xiaoming Liu:
ChatGPT-Powered Hierarchical Comparisons for Image Classification. - Jung-Woo Chang, Ke Sun, Nasimeh Heydaribeni, Seira Hidano, Xinyu Zhang, Farinaz Koushanfar:
Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systems. - Lena Strobl, William Merrill, Gail Weiss, David Chiang, Dana Angluin:
Transformers as Recognizers of Formal Languages: A Survey on Expressivity. - Valdemar Vicente Graciano Neto, Célia Laís Rodrigues, Fernando Kenji Kamei, Juliano Lopes de Oliveira, Eliomar Araújo de Lima, Mohamad Kassab, Roberto Oliveira:
Anachronic Tertiary Studies in Software Engineering: An Exploratory Quaternary Study. - Samuel E. Otto, Nicholas Zolman, J. Nathan Kutz, Steven L. Brunton:
A Unified Framework to Enforce, Discover, and Promote Symmetry in Machine Learning. - Jiaxin Cheng, Tianjun Xiao, Tong He:
Consistent Video-to-Video Transfer Using Synthetic Dataset. - Wenjie Ou, Dongyue Guo, Zheng Zhang, Zhishuo Zhao, Yi Lin:
WinNet: time series forecasting with a window-enhanced period extracting and interacting. - Sanguk Lee, Tai-Quan Peng, Matthew H. Goldberg, Seth A. Rosenthal, John E. Kotcher, Edward W. Maibach, Anthony Leiserowitz:
Can Large Language Models Capture Public Opinion about Global Warming? An Empirical Assessment of Algorithmic Fidelity and Bias. - Jingjing Wang, Joshua Luo, Grace Yang, Allen Hong, Feng Luo:
Is GPT Powerful Enough to Analyze the Emotions of Memes? - Will Snyder, Irina Tezaur, Christopher R. Wentland:
Domain decomposition-based coupling of physics-informed neural networks via the Schwarz alternating method. - Jungwuk Park, Dong-Jun Han, Jinho Kim, Shiqiang Wang, Christopher G. Brinton, Jaekyun Moon:
StableFDG: Style and Attention Based Learning for Federated Domain Generalization. - Gaoshuang Huang, Yang Zhou, Xiaofei Hu, Chenglong Zhang, Luying Zhao, Wenjian Gan, Mingbo Hou:
DINO-Mix: Enhancing Visual Place Recognition with Foundational Vision Model and Feature Mixing. - Tunhou Zhang, Wei Wen, Igor Fedorov, Xi Liu, Buyun Zhang, Fangqiu Han, Wen-Yen Chen, Yiping Han, Feng Yan, Hai Li, Yiran Chen:
DistDNAS: Search Efficient Feature Interactions within 2 Hours. - Mostafa A. Atalla, Fabian Trauzettel, Sebastiaan P. van Gelder, Paul Breedveld, Michaël Wiertlewski, Aimée Sakes:
Mechanically-Inflatable Bio-Inspired Locomotion for Robotic Pipeline Inspection. - Taehyeon Kim, Joonkee Kim, Gihun Lee, Se-Young Yun:
Distort, Distract, Decode: Instruction-Tuned Model Can Refine its Response from Noisy Instructions. - Jenna L. Butler, Thomas Zimmermann, Christian Bird:
Objectives and Key Results in Software Teams: Challenges, Opportunities and Impact on Development. - Yuxiang Zhou, Jiazheng Li, Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He:
The Mystery and Fascination of LLMs: A Comprehensive Survey on the Interpretation and Analysis of Emergent Abilities. - Xingchen Wu, Qin Qiu, Jiaqi Li, Yang Zhao:
Intell-dragonfly: A Cybersecurity Attack Surface Generation Engine Based On Artificial Intelligence-generated Content Technology. - Shi Yin, Shijie Huan, Defu Lian, Shangfei Wang, Jinshui Hu, Tao Guo, Bing Yin, Baocai Yin, Cong Liu:
1DFormer: Learning 1D Landmark Representations via Transformer for Facial Landmark Tracking. - Wangzhen Peng, Chenghao Zhou, Runze Hu, Jingchao Cao, Yutao Liu:
RAUNE-Net: A Residual and Attention-Driven Underwater Image Enhancement Method. - Xinyi Yang, Yuxiang Yang, Chao Yu, Jiayu Chen, Jingchen Yu, Haibing Ren, Huazhong Yang, Yu Wang:
Active Neural Topological Mapping for Multi-Agent Exploration. - Hossein Pashazad, Xiaoyu Song:
Computational multiphase micro-periporomechanics for dynamic shear banding and fracturing of unsaturated porous media. - Eman Abdullah AlOmar, Anthony Peruma, Mohamed Wiem Mkaouer, Christian D. Newman, Ali Ouni:
How is Software Reuse Discussed in Stack Overflow? - Qiaoling Chen, Qinghao Hu, Zhisheng Ye, Guoteng Wang, Peng Sun, Yonggang Wen, Tianwei Zhang:
AMSP: Super-Scaling LLM Training via Advanced Model States Partitioning. - Hongyi Zheng, Abulhair Saparov:
Noisy Exemplars Make Large Language Models More Robust: A Domain-Agnostic Behavioral Analysis. - Adrian Celaya, Keegan L. A. Kirk, David Fuentes, Beatrice Riviere:
Solutions to Elliptic and Parabolic Problems via Finite Difference Based Unsupervised Small Linear Convolutional Neural Networks. - Lee Cohen, Han Shao:
Incentivized Collaboration in Active Learning. - Yang Deng, Wenxuan Zhang, Wai Lam, See-Kiong Ng, Tat-Seng Chua:
Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents. - Shuai Feng, Maopeng Ran, Baoyong Zhang, Lihua Xie, Shengyuan Xu:
The bottleneck and ceiling effects in quantized tracking control of heterogeneous multi-agent systems under DoS attacks. - Yi Ma, Chenjun Xiao, Hebin Liang, Jianye Hao:
Rethinking Decision Transformer via Hierarchical Reinforcement Learning. - Luke Gessler, Nathan Schneider:
Syntactic Inductive Bias in Transformer Language Models: Especially Helpful for Low-Resource Languages? - Zhiyuan Wei, Jing Sun, Zijian Zhang, Xianhao Zhang, Xiaoxuan Yang, Liehuang Zhu:
Survey on Quality Assurance of Smart Contracts. - Bo Li, Qiang He, Feifei Chen, Lingjuan Lyu, Athman Bouguettaya, Yun Yang:
EdgeDis: Enabling Fast, Economical, and Reliable Data Dissemination for Mobile Edge Computing. - Zejun Wang, Jia Li, Ge Li, Zhi Jin:
ChatCoder: Chat-based Refine Requirement Improves LLMs' Code Generation. - Yirong Chen, Xiaofen Xing, Jingkai Lin, Huimin Zheng, Zhenyu Wang, Qi Liu, Xiangmin Xu:
SoulChat: Improving LLMs' Empathy, Listening, and Comfort Abilities through Fine-tuning with Multi-turn Empathy Conversations. - Xiangdi Yue, Yihuan Zhang, Miaolei He:
LiDAR-based SLAM for robotic mapping: state of the art and new frontiers. - Arthur Ouaknine, Teja Kattenborn, Etienne Laliberté, David Rolnick:
OpenForest: A data catalogue for machine learning in forest monitoring. - Min Jae Jung, Seung Dae Han, Joohee Kim:
Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection. - Wen Deng, Weiguo Zheng, Hong Cheng:
Accelerating Maximal Clique Enumeration via Graph Reduction. - Dajiang Suo, Heyi Li, Rahul Bhattacharyya, Zijin Wang, Shengxuan Ding, Ou Zheng, Daniel Valderas, Joan Melià-Seguí, Mohamed A. Abdel-Aty, Sanjay E. Sarma:
RF-Enhanced Road Infrastructure for Intelligent Transportation. - Meng Wu, Siyan Luo, Qiyu Wu, Wenbin Ouyang:
TLMCM Network for Medical Image Hierarchical Multi-Label Classification. - Hira Naveed, Chetan Arora, Hourieh Khalajzadeh, John C. Grundy, Omar Haggag:
Model-driven Engineering for Machine Learning Components: A Systematic Literature Review. - Zhenbang Du, Jiayu An, Jiahao Hong, Dongrui Wu:
Mixture-of-Experts for Open Set Domain Adaptation: A Dual-Space Detection Approach. - Mi Zhang, Xudong Pan, Min Yang:
JADE: A Linguistics-based Safety Evaluation Platform for LLM. - Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, Wei Jin, Joyce C. Ho, Carl Yang:
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. - Po-Nien Kung, Fan Yin, Di Wu, Kai-Wei Chang, Nanyun Peng:
Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks. - Abhinav Prakash Gahlot, Huseyin Tuna Erdinc, Rafael Orozco, Ziyi Yin, Felix J. Herrmann:
Inference of CO2 flow patterns - a feasibility study. - Jing Li, Lu Bai, Bin Yang, Chang Li, Lingfei Ma, Edwin R. Hancock:
Graph Representation Learning for Infrared and Visible Image Fusion. - Xiaoyue Wang, Xin Liu, Lijie Wang, Yaoxiang Wang, Jinsong Su, Hua Wu:
IBADR: an Iterative Bias-Aware Dataset Refinement Framework for Debiasing NLU models. - Hongrui Gao, Yawen Li, Meiyu Liang, Zeli Guan, Zhe Xue:
Semantic Representation Learning of Scientific Literature based on Adaptive Feature and Graph Neural Network. - Mengxia Wu, Min Cao, Yang Bai, Ziyin Zeng, Chen Chen, Liqiang Nie, Min Zhang:
An Empirical Study of Frame Selection for Text-to-Video Retrieval. - Runze Fang, Yawen Li, Yingxia Shao, Zeli Guan, Zhe Xue:
Entity Alignment Method of Science and Technology Patent based on Graph Convolution Network and Information Fusion. - Weiying Wang, Akinori Nakajima:
Detecting Syllable-Level Pronunciation Stress with A Self-Attention Model. - Mahmut Tokmak, Mike Wa Nkongolo:
Stacking an autoencoder for feature selection of zero-day threats. - Xiangjue Dong, Yibo Wang, Philip S. Yu, James Caverlee:
Probing Explicit and Implicit Gender Bias through LLM Conditional Text Generation. - Md Farhan Ishmam, Md Sakib Hossain Shovon, Muhammad Firoz Mridha, Nilanjan Dey:
From Image to Language: A Critical Analysis of Visual Question Answering (VQA) Approaches, Challenges, and Opportunities. - Takashi Wada, Timothy Baldwin, Jey Han Lau:
Unsupervised Lexical Simplification with Context Augmentation. - Alaa Eldin Abdelaal, Sayem Nazmuz Zaman, Daniel Chen, Trent Suzuki, Jaden Ingleton:
Gaze-based Learning from Demonstration In Surgical Robotics. - Chengjie Ma, Yawen Li, Meiyu Liang, Ang Li:
Federated Topic Model and Model Pruning Based on Variational Autoencoder. - Yiqing Xie, Atharva Naik, Daniel Fried, Carolyn P. Rosé:
Data Augmentation for Code Translation with Comparable Corpora and Multiple References. - Iu Yahiro, Takashi Ishida, Naoto Yokoya:
Flooding Regularization for Stable Training of Generative Adversarial Networks. - Bandhav Veluri, Malek Itani, Justin Chan, Takuya Yoshioka, Shyamnath Gollakota:
Semantic Hearing: Programming Acoustic Scenes with Binaural Hearables. - Yongjin Yang, Joonkee Kim, Yujin Kim, Namgyu Ho, James Thorne, Se-young Yun:
HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning. - Hyeonsoo Jo, Fanchen Bu, Kijung Shin:
Robust Graph Clustering via Meta Weighting for Noisy Graphs. - Subhojyoti Mukherjee, Qiaomin Xie, Josiah P. Hanna, Robert D. Nowak:
Multi-task Representation Learning for Pure Exploration in Bilinear Bandits. - P. Balasubramanian, Douglas L. Maskell:
Fault-Tolerant Design Approach Based on Approximate Computing. - Jiarui Ding, Sayem Nazmuz Zaman, P. Y. Chen, David Wang:
Latent Space Inference For Spatial Transcriptomics. - Weihang Su, Qingyao Ai, Yueyue Wu, Yixiao Ma, Haitao Li, Yiqun Liu:
Caseformer: Pre-training for Legal Case Retrieval. - Dimitris Stripelis, Chrysovalantis Anastasiou, Patrick Toral, Armaghan Asghar, José Luis Ambite:
MetisFL: An Embarrassingly Parallelized Controller for Scalable & Efficient Federated Learning Workflows. - Liron David, Yuval Shavitt:
BGP Typo: A Longitudinal Study and Remedies.