Saved in:
| Main Authors: | Halevy, Karina, Hou, Karly, Badrinath, Charumathi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2412.10575 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AttackQA: Development and Adoption of a Dataset for Assisting Cybersecurity Operations using Fine-tuned and Open-Source LLMs
by: Krishna, Varun Badrinath
Published: (2024)
by: Krishna, Varun Badrinath
Published: (2024)
All Roads Lead to Rome? Exploring Representational Similarities Between Latent Spaces of Generative Image Models
by: Badrinath, Charumathi, et al.
Published: (2024)
by: Badrinath, Charumathi, et al.
Published: (2024)
Rethinking Reward Model Evaluation Through the Lens of Reward Overoptimization
by: Kim, Sunghwan, et al.
Published: (2025)
by: Kim, Sunghwan, et al.
Published: (2025)
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift
by: Wu, Jiayun, et al.
Published: (2024)
by: Wu, Jiayun, et al.
Published: (2024)
Weak-to-Strong Generalization Through the Data-Centric Lens
by: Shin, Changho, et al.
Published: (2024)
by: Shin, Changho, et al.
Published: (2024)
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation
by: Hwang, Uiwon, et al.
Published: (2024)
by: Hwang, Uiwon, et al.
Published: (2024)
One Wave To Explain Them All: A Unifying Perspective On Feature Attribution
by: Kasmi, Gabriel, et al.
Published: (2024)
by: Kasmi, Gabriel, et al.
Published: (2024)
Hack-Verifiable Environments: Towards Evaluating Reward Hacking at Scale
by: Roth, Amit, et al.
Published: (2026)
by: Roth, Amit, et al.
Published: (2026)
Time Series Forecasting Through the Lens of Dynamics
by: Brachet, Alexis-Raja, et al.
Published: (2025)
by: Brachet, Alexis-Raja, et al.
Published: (2025)
Emergent and Subliminal Misalignment Through the Lens of Data-Mediated Transfer
by: Askin, Baris, et al.
Published: (2026)
by: Askin, Baris, et al.
Published: (2026)
Multicalibration for LLM-based Code Generation
by: Campos, Viola, et al.
Published: (2025)
by: Campos, Viola, et al.
Published: (2025)
Boosting Automatic Exercise Evaluation Through Musculoskeletal Simulation-Based IMU Data Augmentation
by: Spilz, Andreas, et al.
Published: (2025)
by: Spilz, Andreas, et al.
Published: (2025)
Data Curation Through the Lens of Spectral Dynamics: Static Limits, Dynamic Acceleration, and Practical Oracles
by: Zhang, Yizhou, et al.
Published: (2025)
by: Zhang, Yizhou, et al.
Published: (2025)
Rethinking Spatio-Temporal Transformer for Traffic Prediction:Multi-level Multi-view Augmented Learning Framework
by: Lin, Jiaqi, et al.
Published: (2024)
by: Lin, Jiaqi, et al.
Published: (2024)
GPT-2 Through the Lens of Vector Symbolic Architectures
by: Knittel, Johannes, et al.
Published: (2024)
by: Knittel, Johannes, et al.
Published: (2024)
Reframing Data Value for Large Language Models Through the Lens of Plausibility
by: Rammal, Mohamad Rida, et al.
Published: (2024)
by: Rammal, Mohamad Rida, et al.
Published: (2024)
Laplace Sample Information: Data Informativeness Through a Bayesian Lens
by: Kaiser, Johannes, et al.
Published: (2025)
by: Kaiser, Johannes, et al.
Published: (2025)
EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost
by: Heo, Jaeseung, et al.
Published: (2023)
by: Heo, Jaeseung, et al.
Published: (2023)
FairSHAP: Preprocessing for Fairness Through Attribution-Based Data Augmentation
by: Zhu, Lin, et al.
Published: (2025)
by: Zhu, Lin, et al.
Published: (2025)
OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators
by: Nie, Allen, et al.
Published: (2024)
by: Nie, Allen, et al.
Published: (2024)
Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them)
by: Prinster, Drew, et al.
Published: (2024)
by: Prinster, Drew, et al.
Published: (2024)
Importance of Artificial Intelligence in Accounting and Taxation World
by: Khatri, Dr. Sunil Badrinath
Published: (2025)
by: Khatri, Dr. Sunil Badrinath
Published: (2025)
All You Need Is Synthetic Task Augmentation
by: Godin, Guillaume
Published: (2025)
by: Godin, Guillaume
Published: (2025)
Rating Multi-Modal Time-Series Forecasting Models (MM-TSFM) for Robustness Through a Causal Lens
by: Lakkaraju, Kausik, et al.
Published: (2024)
by: Lakkaraju, Kausik, et al.
Published: (2024)
Rethinking Spectral Augmentation for Contrast-based Graph Self-Supervised Learning
by: Jian, Xiangru, et al.
Published: (2024)
by: Jian, Xiangru, et al.
Published: (2024)
One Filter to Deploy Them All: Robust Safety for Quadrupedal Navigation in Unknown Environments
by: Lin, Albert, et al.
Published: (2024)
by: Lin, Albert, et al.
Published: (2024)
One Router to Route Them All: Homogeneous Expert Routing for Heterogeneous Graph Transformers
by: Shakirov, Georgiy, et al.
Published: (2025)
by: Shakirov, Georgiy, et al.
Published: (2025)
Rethinking Forward Processes for Score-Based Nonlinear Data Assimilation in High Dimensions
by: Yoon, Eunbi, et al.
Published: (2026)
by: Yoon, Eunbi, et al.
Published: (2026)
The Quest for the Right Mediator: Surveying Mechanistic Interpretability Through the Lens of Causal Mediation Analysis
by: Mueller, Aaron, et al.
Published: (2024)
by: Mueller, Aaron, et al.
Published: (2024)
Improving Generalization of Neural Vehicle Routing Problem Solvers Through the Lens of Model Architecture
by: Xiao, Yubin, et al.
Published: (2024)
by: Xiao, Yubin, et al.
Published: (2024)
Age Predictors Through the Lens of Generalization, Bias Mitigation, and Interpretability: Reflections on Causal Implications
by: Paul, Debdas, et al.
Published: (2026)
by: Paul, Debdas, et al.
Published: (2026)
Revisiting Multi-Permutation Equivariance through the Lens of Irreducible Representations
by: Sverdlov, Yonatan, et al.
Published: (2024)
by: Sverdlov, Yonatan, et al.
Published: (2024)
Fantastic Pretraining Optimizers and Where to Find Them
by: Wen, Kaiyue, et al.
Published: (2025)
by: Wen, Kaiyue, et al.
Published: (2025)
Low Rank Gradients and Where to Find Them
by: Sonthalia, Rishi, et al.
Published: (2025)
by: Sonthalia, Rishi, et al.
Published: (2025)
Efficient Prompt Optimization Through the Lens of Best Arm Identification
by: Shi, Chengshuai, et al.
Published: (2024)
by: Shi, Chengshuai, et al.
Published: (2024)
Easy Samples Are All You Need: Self-Evolving LLMs via Data-Efficient Reinforcement Learning
by: Yu, Zhiyin, et al.
Published: (2026)
by: Yu, Zhiyin, et al.
Published: (2026)
A Hybrid Framework for Spatial Interpolation: Merging Data-driven with Domain Knowledge
by: Zhang, Cong, et al.
Published: (2024)
by: Zhang, Cong, et al.
Published: (2024)
Exploring Layerwise Adversarial Robustness Through the Lens of t-SNE
by: Valentim, Inês, et al.
Published: (2024)
by: Valentim, Inês, et al.
Published: (2024)
Heterogeneous Graph Structure Learning through the Lens of Data-generating Processes
by: Jiang, Keyue, et al.
Published: (2025)
by: Jiang, Keyue, et al.
Published: (2025)
Can LLMs Reason Structurally? Benchmarking via the Lens of Data Structures
by: He, Yu, et al.
Published: (2025)
by: He, Yu, et al.
Published: (2025)
Similar Items
-
AttackQA: Development and Adoption of a Dataset for Assisting Cybersecurity Operations using Fine-tuned and Open-Source LLMs
by: Krishna, Varun Badrinath
Published: (2024) -
All Roads Lead to Rome? Exploring Representational Similarities Between Latent Spaces of Generative Image Models
by: Badrinath, Charumathi, et al.
Published: (2024) -
Rethinking Reward Model Evaluation Through the Lens of Reward Overoptimization
by: Kim, Sunghwan, et al.
Published: (2025) -
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift
by: Wu, Jiayun, et al.
Published: (2024) -
Weak-to-Strong Generalization Through the Data-Centric Lens
by: Shin, Changho, et al.
Published: (2024)