Cover Image

Temporal Generalization: A Reality Check

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Madaan, Divyam, Chopra, Sumit, Cho, Kyunghyun
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computation and Language Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Characterizing the Predictive Impact of Modalities with Supervised Latent-Variable Modeling
by: Madaan, Divyam, et al.
Published: (2026)

Multi-modal Data Spectrum: Multi-modal Datasets are Multi-dimensional
by: Madaan, Divyam, et al.
Published: (2025)

Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning
by: Madaan, Divyam, et al.
Published: (2024)

HIST-AID: Leveraging Historical Patient Reports for Enhanced Multi-Modal Automatic Diagnosis
by: Huang, Haoxu, et al.
Published: (2024)

Hyperparameters in Continual Learning: A Reality Check
by: Cha, Sungmin, et al.
Published: (2024)

A Vision Check-up for Language Models
by: Sharma, Pratyusha, et al.
Published: (2024)

A Change Detection Reality Check
by: Corley, Isaac, et al.
Published: (2024)

Scaling Laws Are Unreliable for Downstream Tasks: A Reality Check
by: Lourie, Nicholas, et al.
Published: (2025)

Scaling Up Temporal Domain Generalization via Temporal Experts Averaging
by: Liu, Aoming, et al.
Published: (2025)

A training regime to learn unified representations from complementary breast imaging modalities
by: Sharma, Umang, et al.
Published: (2024)

SpurLens: Automatic Detection of Spurious Cues in Multimodal LLMs
by: Hosseini, Parsa, et al.
Published: (2025)

DialectGen: Benchmarking and Improving Dialect Robustness in Multimodal Generation
by: Zhou, Yu, et al.
Published: (2025)

FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question Answering
by: Huang, Chengyue, et al.
Published: (2025)

Deep Active Learning: A Reality Check
by: Gashi, Edrina, et al.
Published: (2024)

PDEInvBench: A Comprehensive Dataset and Design Space Exploration of Neural Networks for PDE Inverse Problems
by: Goel, Divyam, et al.
Published: (2026)

TempCore: Are Video QA Benchmarks Temporally Grounded? A Frame Selection Sensitivity Analysis and Benchmark
by: Ok, Hyunjong, et al.
Published: (2025)

Directional Gradient Projection for Robust Fine-Tuning of Foundation Models
by: Huang, Chengyue, et al.
Published: (2025)

3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination
by: Yang, Jianing, et al.
Published: (2024)

A Trust-Guided Approach to MR Image Reconstruction with Side Information
by: Atalık, Arda, et al.
Published: (2025)

LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models
by: Zhang, Kaichen, et al.
Published: (2024)

DiagrammerGPT: Generating Open-Domain, Open-Platform Diagrams via LLM Planning
by: Zala, Abhay, et al.
Published: (2023)

VideoDirectorGPT: Consistent Multi-scene Video Generation via LLM-Guided Planning
by: Lin, Han, et al.
Published: (2023)

Mimicking or Reasoning: Rethinking Multi-Modal In-Context Learning in Vision-Language Models
by: Huang, Chengyue, et al.
Published: (2025)

Generative Technology for Human Emotion Recognition: A Scope Review
by: Ma, Fei, et al.
Published: (2024)

Text-to-Image Cross-Modal Generation: A Systematic Review
by: Żelaszczyk, Maciej, et al.
Published: (2024)

A Language Anchor-Guided Method for Robust Noisy Domain Generalization
by: Dai, Zilin, et al.
Published: (2025)

A General Framework for Inference-time Scaling and Steering of Diffusion Models
by: Singhal, Raghav, et al.
Published: (2025)

General Transform: A Unified Framework for Adaptive Transform to Enhance Representations
by: Budiutama, Gekko, et al.
Published: (2025)

Language-Pretraining-Induced Bias: A Strong Foundation for General Vision Tasks
by: Luo, Yaxin, et al.
Published: (2026)

Diagnostic Benchmark and Iterative Inpainting for Layout-Guided Image Generation
by: Cho, Jaemin, et al.
Published: (2023)

Dual-Process Image Generation
by: Luo, Grace, et al.
Published: (2025)

FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback
by: Singh, Ashish, et al.
Published: (2023)

SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data
by: Li, Jialu, et al.
Published: (2024)

The Double Dilemma in Multi-Task Radiology Report Generation: A Gradient Dynamics Analysis and Solution
by: Zhang, Erjian, et al.
Published: (2026)

Generating Fine Details of Entity Interactions
by: Gu, Xinyi, et al.
Published: (2025)

TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
by: Cai, Mu, et al.
Published: (2024)

Data Redaction from Conditional Generative Models
by: Kong, Zhifeng, et al.
Published: (2023)

Realistic Evaluation of Model Merging for Compositional Generalization
by: Tam, Derek, et al.
Published: (2024)

Phrase-Instance Alignment for Generalized Referring Segmentation
by: Nguyen, E-Ro, et al.
Published: (2024)

Controlled Training Data Generation with Diffusion Models
by: Yeo, Teresa, et al.
Published: (2024)