Huang, Furong
- Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise
2022/08/19 by Arpit Bansal, Bansal, Arpit, Eitan Borgnia +16 · 6 voices · 26 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis
- Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition
2015/03/06 by Rong Ge, Furong Huang, Ge, Rong +5 · 123 citations
Mathematics · Engineering · Computer Science · #Tensor decomposition and applications #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models
2023/10/23 by Tianrui Guan, Fuxiao Liu, Guan, Tianrui +16 · 113 citations
Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies
2024/12/13 by Ruijie Zheng, Yongyuan Liang, Zheng, Ruijie +13 · 88 citations
Engineering · Computer Science · #Robot Manipulation and Learning #Reinforcement Learning in Robotics
- TrustLLM: Trustworthiness in Large Language Models
2024/01/01 by Yue Huang, Huang, Yue, Lichao Sun +136 · 34 citations
Medicine · Computer Science · #Artificial Intelligence in Healthcare and Education #Privacy-Preserving Technologies in Data #Explainable Artificial Intelligence (XAI)
- MaxMin-RLHF: Alignment with Diverse Human Preferences
2024/02/14 by Souradip Chakraborty, Jiahao Qiu, Chakraborty, Souradip +13 · 30 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Speech Recognition and Synthesis
- AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language Models
2023/10/23 by Sicheng Zhu, Zhu, Sicheng, Ruiyi Zhang +15 · 24 citations
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
- SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement
2025/04/10 by Xiyao Wang, Wang, Xiyao, Zhengyuan Yang +15 · 41 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning and Data Classification #Multimodal Machine Learning Applications
- Large Language Models and Causal Inference in Collaboration: A Survey
2024/03/14 by Xiaoyu Liu, Paiheng Xu, Liu, Xiaoyu +23 · 15 citations
Computer Science · #Topic Modeling
- WAVES: Benchmarking the Robustness of Image Watermarks
2024/01/16 by An, Bang, Ding, Mucong, Rabbani, Tahseen +8 · 14 citations
#Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement
2024/05/24 by Xiyao Wang, Jiuhai Chen, Wang, Xiyao +19 · 18 citations
Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques
- On the Possibilities of AI-Generated Text Detection
2023/04/10 by Souradip Chakraborty, Amrit Singh Bedi, Chakraborty, Souradip +9 · 13 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques
- Explore Spurious Correlations at the Concept Level in Language Models for Text Classification
2023/11/15 by Zhou, Yuhang, Xu, Paiheng, Liu, Xiaoyu +3 · 12 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
- Where do Models go Wrong? Parameter-Space Saliency Maps for\n Explainability
2021/08/03 by Roman Levin, R. V. Levin, Levin, Roman +10 · 1 voice · 1 citation
Computer Science · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Machine Learning in Healthcare
- Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL
2021/06/09 by Yanchao Sun, Sun, Yanchao, Ruijie Zheng +5 · 7 citations
Computer Science · #Adversarial Robustness in Machine Learning #Reinforcement Learning in Robotics #Advanced Malware Detection Techniques
- GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-time Alignment
2024/10/10 by Xu, Yuancheng, Sehwag, Udari Madhushani, Koppel, Alec +4 · 15 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning
2023/06/22 by Ruijie Zheng, Xiyao Wang, Zheng, Ruijie +13 · 8 citations
Computer Science · #Reinforcement Learning in Robotics
- Understanding Generalization through Visualizations
2019/06/07 by Wei Huang, Huang, W. Ronny, Zeyad Emam +11 · 7 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Stochastic Gradient Optimization Techniques
- Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences
2024/01/19 by Xiyao Wang, Yuhang Zhou, Wang, Xiyao +21 · 8 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models
2024/06/16 by Wu, Xiyang, Guan, Tianrui, Li, Dianqi +9 · 9 citations
#Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Transfer Q Star: Principled Decoding for LLM Alignment
2024/05/30 by Souradip Chakraborty, Chakraborty, Souradip, Soumya Suvra Ghosal +11 · 1 voice · 8 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mathematics, Computing, and Information Processing #Natural Language Processing Techniques #cs.CL #cs.LG
- FLARE: Robot Learning with Implicit World Modeling
2025/05/21 by Ruijie Zheng, Zheng, Ruijie, Jing Wang +39 · 16 citations
Computer Science · #Reinforcement Learning in Robotics
- Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment
2024/11/27 by Ghosal, Soumya Suvra, Chakraborty, Souradip, Singh, Vaibhav +7 · 11 citations
#Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?
2024/07/24 by Michael-Andrei Panaitescu-Liess, Zora Che, Panaitescu-Liess, Michael-Andrei +15 · 2 voices · 5 citations
#cs.LG
- Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks
2021/06/08 by Avi Schwarzschild, Schwarzschild, Avi, Eitan Borgnia +11 · 4 citations
Computer Science · #Advanced Neural Network Applications #Machine Learning and Data Classification #Explainable Artificial Intelligence (XAI)
- Political-LLM: Large Language Models in Political Science
2024/12/09 by Lincan Li, Jiaqi Li, Li, Lincan +89 · 10 citations
Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computational and Text Analysis Methods #FOS: Computer and information sciences
- Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning
2025/07/22 by Ang Li, Li, Ang, Charles C.N. Wang +23 · 1 voice · 14 citations
Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #cs.CL #cs.CV #cs.LG
- Automatic Pseudo-Harmful Prompt Generation for Evaluating False Refusals in Large Language Models
2024/09/01 by Bang An, Sicheng Zhu, An, Bang +9 · 1 voice · 6 citations
Computer Science · #Computation and Language (cs.CL) #Computers and Society (cs.CY) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling #cs.CL #cs.CR #cs.CY #cs.LG
- Learning Deep ResNet Blocks Sequentially using Boosting Theory
2017/06/15 by Furong Huang, Huang, Furong, Jordan T. Ash +5 · 5 citations
Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Stochastic Gradient Optimization Techniques
- Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities
2025/02/03 by Zora Che, Stephen Casper, Che, Zora +27 · 11 citations
Computer Science · #Security and Verification in Computing #Advanced Malware Detection Techniques #Network Security and Intrusion Detection
- Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models
2024/02/05 by Yuancheng Xu, Jiarui Yao, Xu, Yuancheng +13 · 5 citations
Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Blockchain Technology Applications and Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Misinformation and Its Impacts
- Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization
2024/09/27 by Mucong Ding, Chenghao Deng, Ding, Mucong +18 · 7 citations
Computer Science · #Natural Language Processing Techniques
- SMART: Self-supervised Multi-task pretrAining with contRol Transformers
2023/01/24 by Yanchao Sun, Shuang Ma, Sun, Yanchao +9 · 4 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications
- Is poisoning a real threat to LLM alignment? Maybe more so than you think
2024/06/17 by Pathmanathan, Pankayaraj, Chakraborty, Souradip, Liu, Xiangyu +2 · 5 citations
#Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning
2022/10/12 by Yongyuan Liang, Yanchao Sun, Liang, Yongyuan +5 · 3 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Bacillus and Francisella bacterial research #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Does Thinking More always Help? Mirage of Test-Time Scaling in Reasoning Models
2025/06/04 by Soumya Suvra Ghosal, Ghosal, Soumya Suvra, Chakraborty, Souradip +14 · 12 citations
Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Mobile Crowdsensing and Crowdsourcing
- ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMs
2025/06/11 by Xiyao Wang, Wang, Xiyao, Zhengyuan Yang +22 · 11 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations
2023/07/22 by Liang, Yongyuan, Sun, Yanchao, Zheng, Ruijie +5 · 3 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance
2024/10/03 by Joshua S. McClellan, McClellan, Joshua, Naveed Haghani +7 · 5 citations
Computer Science · #Reinforcement Learning in Robotics
- PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts
2023/08/02 by An, Bang, Zhu, Sicheng, Panaitescu-Liess, Michael-Andrei +2 · 3 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective
2025/02/20 by Huang, Yue, Gao, Chujie, Wu, Siyuan +63 · 8 citations
#Computers and Society (cs.CY) #FOS: Computer and information sciences
- Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey
2023/10/23 by Ghosal, Soumya Suvra, Chakraborty, Souradip, Geiping, Jonas +3 · 3 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
- Why Are Web AI Agents More Vulnerable Than Standalone LLMs? A Security Analysis
2025/02/27 by Jonathan Chiang, Seungjae Lee, Chiang, Jeffrey Yang Fan +7 · 6 citations
Computer Science · #Adversarial Robustness in Machine Learning #Spam and Phishing Detection #Web Application Security Vulnerabilities
- COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL
2023/10/11 by Wang, Xiyao, Zheng, Ruijie, Sun, Yanchao +4 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Adversarial Attacks on Large Language Models in Medicine
2024/06/18 by Yifan Yang, Yang, Yifan, Qiao Jin +5 · 3 citations
Medicine · Computer Science · #Artificial Intelligence in Healthcare and Education #Machine Learning in Healthcare #COVID-19 diagnosis using AI
- SAIL: Self-Improving Efficient Online Alignment of Large Language Models
2024/06/21 by Mucong Ding, Ding, Mucong, Souradip Chakraborty +13 · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
- Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies
2024/02/20 by Liu, Xiangyu, Deng, Chenghao, Sun, Yanchao +2 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback
2023/08/03 by Chakraborty, Souradip, Bedi, Amrit Singh, Koppel, Alec +4 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control
2024/02/16 by Zheng, Ruijie, Cheng, Ching-An, Daumé, Hal +2 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Understanding Generalization in Deep Learning via Tensor Methods
2020/01/14 by Jingling Li, Li, Jingling, Yanchao Sun +7 · 4 citations
Computer Science · Mathematics · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Computer and information sciences #I.2.2 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Tensor decomposition and applications
- Towards Self-Improvement of LLMs via MCTS: Leveraging Stepwise Knowledge with Curriculum Preference Learning
2024/10/09 by Xiyao Wang, Wang, Xiyao, Ye Tian +12 · 4 citations
Social Sciences · #Artificial Intelligence in Law #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity
2024/06/21 by Ding, Mucong, Rabbani, Tahseen, An, Bang +2 · 3 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion
2024/07/15 by Liang, Yongyuan, Xu, Tingqiang, Hu, Kaizhe +3 · 4 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
- Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function
2023/02/02 by Ruijie Zheng, Xiyao Wang, Zheng, Ruijie +5 · 2 citations
Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Reinforcement Learning in Robotics #Smart Grid Security and Resilience
- Online Tensor Methods for Learning Latent Variable Models
2013/09/03 by Furong Huang, U. N. Niranjan, Huang, Furong +5 · 1 citation
Computer Science · Mathematics · Medicine · #Advanced Neuroimaging Techniques and Applications #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #Social and Information Networks (cs.SI) #Tensor decomposition and applications #Topic Modeling #and Cluster Computing (cs.DC)
- Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness
2023/02/06 by Yuancheng Xu, Yanchao Sun, Xu, Yuancheng +7 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Reviving Shift Equivariance in Vision Transformers
2023/06/13 by Peijian Ding, Ding, Peijian, Davit Soselia +7 · 2 citations
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
- Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL
2023/05/27 by Xiangyu Liu, Liu, Xiangyu, Souradip Chakraborty +5 · 2 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information and Cyber Security #Machine Learning (cs.LG) #Network Security and Intrusion Detection #Smart Grid Security and Resilience
- EnsemW2S: Enhancing Weak-to-Strong Generalization with Large Language Model Ensembles
2024/10/06 by Aakriti Agrawal, Mucong Ding, Agrawal, Aakriti +11 · 4 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques
- An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm
2018/05/25 by Christopher DeCarolis, Mukul Ram, DeCarolis, Christopher +7 · 1 citation
Computer Science · #Privacy-Preserving Technologies in Data #Cryptography and Data Security #Stochastic Gradient Optimization Techniques
- Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension
2024/12/04 by Xiyao Wang, Zhengyuan Yang, Wang, Xiyao +13 · 4 citations
Computer Science · Psychology · #Color perception and design #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Visual Attention and Saliency Detection
- CSRec: Rethinking Sequential Recommendation from A Causal Perspective
2024/08/23 by Liu, Xiaoyu, Yuan, Jiaxin, Zhou, Yuhang +3 · 3 citations
#FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
- DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data Augmentations
2021/03/02 by Eitan Borgnia, Borgnia, Eitan, Jonas Geiping +15 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
- LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model
2025/08/31 by Xiyao Wang, Chunyuan Li, Wang, Xiyao +10 · 9 citations
Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Topic Modeling
- Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss
2024/02/09 by Zheng, Ruijie, Liang, Yongyuan, Wang, Xiyao +7 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
- Collab: Controlled Decoding using Mixture of Agents for LLM Alignment
2025/03/27 by Chakraborty, Souradip, Bhatt, Sujay, Sehwag, Udari Madhushani +7 · 5 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
- Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks
2020/10/24 by Zeng, Huimin, Zhu, Chen, Goldstein, Tom +1 · 1 citation
#Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- HashEvict: A Pre-Attention KV Cache Eviction Strategy using Locality-Sensitive Hashing
2024/12/13 by Minghui Liu, Tahseen Rabbani, Liu, Minghui +12 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Internet Traffic Analysis and Secure E-voting #Machine Learning (cs.LG) #Network Security and Intrusion Detection #Performance (cs.PF) #Spam and Phishing Detection
- Practical and Fast Momentum-Based Power Methods
2021/08/20 by Tahseen Rabbani, Rabbani, Tahseen, Apollo Jain +5 · 1 citation
Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Matrix Theory and Algorithms #Numerical Analysis (math.NA) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- World Models with Hints of Large Language Models for Goal Achieving
2024/06/11 by Liu, Zeyuan, Huan, Ziyu, Wang, Xiyao +5 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Understanding the Generalization Benefit of Model Invariance from a Data Perspective
2021/11/10 by Zhu, Sicheng, An, Bang, Huang, Furong · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization
2021/10/27 by Mucong Ding, Ding, Mucong, Kezhi Kong +11 · 1 citation
Computer Science · Neuroscience · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization
2023/10/30 by Xu, Guowei, Zheng, Ruijie, Liang, Yongyuan +12 · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine
2024/11/20 by Yifan Yang, Qiao Jin, Yang, Yifan +32 · 3 citations
Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences
- Transferring Fairness under Distribution Shifts via Fair Consistency Regularization
2022/06/26 by Bang An, Zora Che, An, Bang +5 · 1 citation
Computer Science · Social Sciences · #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Retirement, Disability, and Employment
- Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset
2024/11/05 by Ma, Yingzi, Wang, Jiongxiao, Wang, Fei +10 · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Escaping From Saddle Points Using Asynchronous Coordinate Gradient Descent
2022/11/17 by Bornstein, Marco, Liu, Jin-Peng, Li, Jingling +1 · 1 citation
#Distributed #FOS: Computer and information sciences #FOS: Mathematics #Optimization and Control (math.OC) #Parallel #and Cluster Computing (cs.DC)
- FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?
2024/05/22 by Marco Bornstein, Amrit Singh Bedi, Bornstein, Marco +5 · 1 voice · 1 citation
Economics, Econometrics and Finance · #Law, Economics, and Judicial Systems #cs.DC #cs.GT #cs.LG #econ.TH
- Unsupervised learning of transcriptional regulatory networks via latent tree graphical models
2016/09/20 by Anthony Gitter, Gitter, Anthony, Furong Huang +7 · 1 citation
Biochemistry, Genetics and Molecular Biology · #Genomics and Chromatin Dynamics #Bioinformatics and Genomic Networks #Gene expression and cancer classification
- GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint
2023/05/25 by Xu, Paiheng, Zhou, Yuhang, An, Bang +2 · 1 citation
#Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
- Spectral Greedy Coresets for Graph Neural Networks
2024/05/27 by Mucong Ding, Ding, Mucong, Yinhan He +5 · 1 citation
Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
- Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate
2023/09/07 by Xu, Yuancheng, Deng, Chenghao, Sun, Yanchao +4 · 1 citation
#Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Decodable and Sample Invariant Continuous Object Encoder
2023/10/31 by Dehao Yuan, Furong Huang, Yuan, Dehao +5 · 1 citation
Computer Science · Engineering · #Human Pose and Action Recognition #Advanced Neural Network Applications #3D Shape Modeling and Analysis
- Safety Guaranteed Robust Multi-Agent Reinforcement Learning with Hierarchical Control for Connected and Automated Vehicles
2023/09/20 by Zhang, Zhili, Ahmad, H M Sabbir, Sabouni, Ehsan +4 · 1 citation
#FOS: Computer and information sciences #Multiagent Systems (cs.MA) #Robotics (cs.RO)
- AdvBDGen: Adversarially Fortified Prompt-Specific Fuzzy Backdoor Generator Against LLM Alignment
2024/10/15 by Pathmanathan, Pankayaraj, Sehwag, Udari Madhushani, Panaitescu-Liess, Michael-Andrei +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization
2024/02/22 by Ji, Tianying, Liang, Yongyuan, Zeng, Yan +7 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2 #Machine Learning (cs.LG)
- AegisLLM: Scaling Agentic Systems for Self-Reflective Defense in LLM Security
2025/04/29 by Zikui Cai, Shayan Shabihi, Cai, Zikui +13 · 3 citations
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection #Security and Verification in Computing
- A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM)
2024/04/02 by Yuan, Dehao, Fermüller, Cornelia, Rabbani, Tahseen +2 · 1 citation
#Computational Geometry (cs.CG) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data
2025/05/21 by Zhou, Yuhang, Zhu, Jing, Qian, Shengyi +7 · 2 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- On the Role of Feedback in Test-Time Scaling of Agentic AI Workflows
2025/04/02 by Mohammadreza Pourreza, Chakraborty, Souradip, Pourreza, Mohammadreza +16 · 2 citations
Decision Sciences · Computer Science · #Scientific Computing and Data Management #Explainable Artificial Intelligence (XAI) #Multi-Agent Systems and Negotiation
- PEnGUiN: Partially Equivariant Graph NeUral Networks for Sample Efficient MARL
2025/03/19 by McClellan, Joshua, Brothers, Greyson, Huang, Furong +1 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
- Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes Theory
2024/11/01 by Zhang, Zhi, Chow, Chris, Zhang, Yasi +7 · 1 citation
#68Q32 #68T05 #68T20 #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #G.3 #I.2.6 #I.2.8 #Machine Learning (cs.LG)
- LIAR: Leveraging Inference Time Alignment (Best-of-N) to Jailbreak LLMs in Seconds
2024/12/06 by James Beetham, Beetham, James, Souradip Chakraborty +9 · 1 citation
Social Sciences · #Artificial Intelligence in Law #Computation and Language (cs.CL) #FOS: Computer and information sciences
- Guaranteed Simultaneous Asymmetric Tensor Decomposition via Orthogonalized Alternating Least Squares
2018/05/25 by Furong Huang, Jialin Li, Huang, Furong +2 · 1 citation
Mathematics · Computer Science · Engineering · #Tensor decomposition and applications #Matrix Theory and Algorithms #Advanced Adaptive Filtering Techniques
- Uncertainty-Aware Answer Selection for Improved Reasoning in Multi-LLM Systems
2025/09/30 by Agrawal, Aakriti, Aralikatti, Rohith, Satheesh, Anirudh +3 · 2 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- GenFlowRL: Shaping Rewards with Generative Object-Centric Flow in Visual Reinforcement Learning
2025/08/14 by Yu, Kelin, Zhang, Sheng, Soora, Harshit +4 · 3 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotics (cs.RO)
- ROVER: Benchmarking Reciprocal Cross-Modal Reasoning for Omnimodal Generation
2025/11/03 by Liang, Yongyuan, Chow, Wei, Li, Feng +7 · 3 citations
Computer Science · Psychology · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Language, Metaphor, and Cognition #Multimodal Machine Learning Applications
- Insta-RS: Instance-wise Randomized Smoothing for Improved Robustness and Accuracy
2021/03/07 by Chen Chen, Kezhi Kong, Chen, Chen +9 · 1 citation
Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG)
- EnsemW2S: Enhancing Weak-to-Strong Generalization with Large Language Model Ensembles
2025/05/28 by Agrawal, Aakriti, Ding, Mucong, Che, Zora +6 · 1 citation
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- PropensityBench: Evaluating Latent Safety Risks in Large Language Models via an Agentic Approach
2025/11/24 by Udari Madhushani Sehwag, Sehwag, Udari Madhushani, Shayan Shabihi +11 · 1 citation
Computer Science · Medicine · Social Sciences · #Adversarial Robustness in Machine Learning #Artificial Intelligence in Healthcare and Education #Ethics and Social Impacts of AI