generalizability
The ability of a machine learning model to perform well on unseen data beyond the training set, a critical measure of robustness.
- A Minimalistic Unified Framework for Incremental Learning across Image Restoration Tasks
- A Physics-preserved Transfer Learning Method for Differential Equations
- AGI-Elo: How Far Are We From Mastering A Task?
- AVCD: Mitigating Hallucinations in Audio-Visual Large Language Models through Contrastive Decoding
- Attention! Your Vision Language Model Could Be Maliciously Manipulated
- Auditing Meta-Cognitive Hallucinations in Reasoning Large Language Models
- Automated Model Discovery via Multi-modal & Multi-step Pipeline
- Bi-Level Knowledge Transfer for Multi-Task Multi-Agent Reinforcement Learning
- Clean First, Align Later: Benchmarking Preference Data Cleaning for Reliable LLM Alignment
- DCI: Dual-Conditional Inversion for Boosting Diffusion-Based Image Editing
- DecoyDB: A Dataset for Graph Contrastive Learning in Protein-Ligand Binding Affinity Prediction
- Dependency Matters: Enhancing LLM Reasoning with Explicit Knowledge Grounding
- Enhancing Multilingual LLM Pretraining with Model-Based Data Selection
- Feature-aware Modulation for Learning from Temporal Tabular Data
- Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videos
- GASP: Efficient Black-Box Generation of Adversarial Suffixes for Jailbreaking LLMs
- Generalized and Invariant Single-Neuron In-Vivo Activity Representation Learning
- HEIR: Learning Graph-Based Motion Hierarchies
- Instant4D: 4D Gaussian Splatting in Minutes
- Is Grokking a Computational Glass Relaxation?
- LBMKGC: Large Model-Driven Balanced Multimodal Knowledge Graph Completion
- LIMOPro: Reasoning Refinement for Efficient and Effective Test-time Scaling
- LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities
- Learning Urban Climate Dynamics via Physics-Guided Urban Surface–Atmosphere Interactions
- Learning to Learn with Contrastive Meta-Objective
- Learning to Learn with Contrastive Meta-Objective
- Less is More: Local Intrinsic Dimensions of Contextual Language Models
- MURKA: Multi-Reward Reinforcement Learning with Knowledge Alignment for Optimization Tasks
- Mamba Goes HoME: Hierarchical Soft Mixture-of-Experts for 3D Medical Image Segmentation
- Multimodal Negative Learning
- Obliviator Reveals the Cost of Nonlinear Guardedness in Concept Erasure
- PAC-Bayes Bounds for Multivariate Linear Regression and Linear Autoencoders
- Rainbow Delay Compensation: A Multi-Agent Reinforcement Learning Framework for Mitigating Observation Delays
- ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning
- RobustMerge: Parameter-Efficient Model Merging for MLLMs with Direction Robustness
- Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities
- Silencer: From Discovery to Mitigation of Self-Bias in LLM-as-Benchmark-Generator
- StreamForest: Efficient Online Video Understanding with Persistent Event Memory
- The Illusion of Progress? A Critical Look at Test-Time Adaptation for Vision-Language Models
- Towards Generalizable Detector for Generated Image
- Unbiased Prototype Consistency Learning for Multi-Modal and Multi-Task Object Re-Identification
- Versatile Transferable Unlearnable Example Generator