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Bhavya Kailkhura

  1. Latent Iteration as Renormalization: Inference-Time Recurrence in a Depth-Recurrent Transformer Flows Attention Geometry Toward the SYK Conformal Fixed Point
    2025/02/07 by Jonas Geiping, Sean McLeish, Geiping, Jonas +16 · 25 voices · 88 citations
    Computer Science · #Advanced Database Systems and Queries #Graph Theory and Algorithms #Natural Language Processing Techniques #cs.CL #cs.LG
  2. The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text
    2025/06/05 by Nikhil Kandpal, Brian Lester, Kandpal, Nikhil +51 · 20 voices · 9 citations
    Computer Science · Medicine · #Topic Modeling #Hate Speech and Cyberbullying Detection #Artificial Intelligence in Healthcare and Education
  3. Transformers Can Do Arithmetic with the Right Embeddings
    2024/05/27 by Sean McLeish, McLeish, Sean, Arpit Bansal +20 · 5 voices · 19 citations
    Computer Science · #cs.LG #cs.AI
  4. Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
    2023/07/03 by Jinhao Duan, Duan, Jinhao, Hao Cheng +13 · 28 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  5. 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)
  6. Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization
    2018/05/25 by Sijia Liu, Bhavya Kailkhura, Liu, Sijia +9 · 14 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and ELM #Stochastic Gradient Optimization Techniques
  7. Mix-n-Match: Ensemble and Compositional Methods for Uncertainty\n Calibration in Deep Learning
    2020/03/16 by Jize Zhang, Zhang, Jize, Bhavya Kailkhura +3 · 17 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  8. SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning
    2024/04/28 by Jinghan Jia, Yihua Zhang, Jia, Jinghan +13 · 21 citations
    Engineering · Computer Science · #Mineral Processing and Grinding #Distributed and Parallel Computing Systems #Reservoir Engineering and Simulation Methods
  9. NEFTune: Noisy Embeddings Improve Instruction Finetuning
    2023/10/09 by Neel Jain, Ping-yeh Chiang, Jain, Neel +23 · 13 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Text Readability and Simplification
  10. GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations
    2024/02/19 by Jinhao Duan, Duan, Jinhao, Renming Zhang +15 · 14 citations
    Decision Sciences · #Auction Theory and Applications
  11. Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions
    2022/01/28 by J. F. Sun, Qingzhao Zhang, Sun, Jiachen +9 · 9 citations
    Computer Science · Earth and Planetary Sciences · Engineering · #3D Surveying and Cultural Heritage #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Industrial Vision Systems and Defect Detection #Machine Learning (cs.LG)
  12. Introducing v0.5 of the AI Safety Benchmark from MLCommons
    2024/04/18 by Bertie Vidgen, Adarsh Agrawal, Vidgen, Bertie +202 · 2 voices · 10 citations
    Computer Science · #Adversarial Robustness in Machine Learning
  13. DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training
    2023/10/03 by Aochuan Chen, Yimeng Zhang, Chen, Aochuan +17 · 10 citations
    Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Model Reduction and Neural Networks
  14. Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts
    2025/06/02 by Haizhong Zheng, Zheng, Haizhong, Yang Zhou +11 · 29 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Law #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Agent Systems and Negotiation
  15. Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression
    2024/03/18 by Junyuan Hong, Jinhao Duan, Hong, Junyuan +27 · 10 citations
    Computer Science · #Advanced Data Storage Technologies #Artificial Intelligence (cs.AI) #Blockchain Technology Applications and Security #Computation and Language (cs.CL) #Cryptography and Data Security #FOS: Computer and information sciences
  16. A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
    2025/04/22 by Kun Wang, Guibin Zhang, Wang, Kun +193 · 31 citations
    Computer Science · Health Professions · Medicine · #Adversarial Robustness in Machine Learning #Occupational Health and Safety Research #Artificial Intelligence in Healthcare and Education
  17. Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies
    2024/04/14 by Brian R. Bartoldson, James Diffenderfer, Bartoldson, Brian R. +5 · 10 citations
    Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  18. Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network
    2021/03/16 by James Diffenderfer, Diffenderfer, James, Bhavya Kailkhura +1 · 4 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Stochastic Gradient Optimization Techniques
  19. Deep Kernels with Probabilistic Embeddings for Small-Data Learning
    2019/10/13 by Ankur Mallick, Chaitanya Dwivedi, Mallick, Ankur +7 · 3 citations
    Computer Science · Environmental Science · #Air Quality Monitoring and Forecasting #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  20. Reliable and Explainable Machine Learning Methods for Accelerated\n Material Discovery
    2019/01/04 by Bhavya Kailkhura, Kailkhura, Bhavya, Brian Gallagher +7 · 2 citations
    Computer Science · Decision Sciences · #Computational Physics (physics.comp-ph) #Data Quality and Management #FOS: Computer and information sciences #FOS: Physical sciences #Imbalanced Data Classification Techniques #Machine Learning (stat.ML) #Materials Science (cond-mat.mtrl-sci) #Software Engineering Research
  21. Attribute-Guided Adversarial Training for Robustness to Natural Perturbations
    2020/12/03 by Tejas Gokhale, Gokhale, Tejas, Rushil Anirudh +9 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  22. A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness
    2021/06/16 by James Diffenderfer, Brian R. Bartoldson, Diffenderfer, James +7 · 2 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG)
  23. Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis
    2024/10/12 by Hongru Yang, Yang, Hongru, Bhavya Kailkhura +5 · 4 citations
    Computer Science · #Image Processing and 3D Reconstruction #Natural Language Processing Techniques #Speech Recognition and Synthesis
  24. Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?
    2019/11/17 by Ruoxi Jia, Fan Wu, Jia, Ruoxi +15 · 1 citation
    Computer Science · #Data Stream Mining Techniques #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  25. Anomalous Example Detection in Deep Learning: A Survey
    2020/03/16 by Saikiran Bulusu, Bhavya Kailkhura, Bulusu, Saikiran +7 · 1 citation
    Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  26. TSS: Transformation-Specific Smoothing for Robustness Certification
    2020/02/27 by Linyi Li, Li, Linyi, Maurice Weber +13 · 1 citation
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Bacillus and Francisella bacterial research
  27. ELFS: Label-Free Coreset Selection with Proxy Training Dynamics
    2024/06/06 by Haizhong Zheng, Elisa Tsai, Zheng, Haizhong +11 · 2 citations
    Computer Science · #Rough Sets and Fuzzy Logic #Fuzzy Logic and Control Systems
  28. Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning
    2021/07/08 by Akshay Mehra, Bhavya Kailkhura, Mehra, Akshay +5 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  29. LLM Unlearning Reveals a Stronger-Than-Expected Coreset Effect in Current Benchmarks
    2025/04/14 by Changsheng Wang, Pal, Soumyadeep, James Diffenderfer +6 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
  30. On the Certified Robustness for Ensemble Models and Beyond
    2021/07/22 by Zhuolin Yang, Linyi Li, Yang, Zhuolin +7 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  31. A Fast and Convergent Proximal Algorithm for Regularized Nonconvex and Nonsmooth Bi-level Optimization
    2022/03/30 by Ziyi Chen, Chen, Ziyi, Bhavya Kailkhura +3 · 1 citation
    Engineering · Mathematics · Computer Science · #Sparse and Compressive Sensing Techniques #Advanced Optimization Algorithms Research #Optimization and Variational Analysis
  32. Models Out of Line: A Fourier Lens on Distribution Shift Robustness
    2022/07/08 by Sara Fridovich-Keil, Fridovich-Keil, Sara, Brian R. Bartoldson +7 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  33. Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense
    2025/01/05 by Yang Ouyang, Ouyang, Yang, Hengfei Gu +13 · 2 citations
    Computer Science · #Physical Unclonable Functions (PUFs) and Hardware Security #Adversarial Robustness in Machine Learning #Cryptographic Implementations and Security
  34. 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
  35. TreeView: Peeking into Deep Neural Networks Via Feature-Space Partitioning
    2016/11/22 by Jayaraman J. Thiagarajan, Bhavya Kailkhura, Thiagarajan, Jayaraman J. +5 · 1 citation
    Computer Science · #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification #Advanced Neural Network Applications
  36. Double Visual Defense: Adversarial Pre-training and Instruction Tuning for Improving Vision-Language Model Robustness
    2025/01/16 by Zeyu Wang, Cihang Xie, Wang, Zeyu +5 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning
  37. Low-rank finetuning for LLMs: A fairness perspective
    2024/05/28 by Saswat Das, Das, Saswat, Marco Romanelli +9 · 1 citation
    Business, Management and Accounting · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Private Equity and Venture Capital