"generalization capabilities" Papers
13 papers found
Conference
Efficient Cross-Episode Meta-RL
Gresa Shala, André Biedenkapp, Pierre Krack et al.
ICLR 2025
Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia
Chandler Smith, Marwa Abdulhai, Manfred Díaz et al.
NEURIPS 2025oralarXiv:2512.03318
4
citations
FiffDepth: Feed-forward Transformation of Diffusion-Based Generators for Detailed Depth Estimation
Yunpeng Bai, Qixing Huang
ICCV 2025arXiv:2412.00671
3
citations
MallowsPO: Fine-Tune Your LLM with Preference Dispersions
Haoxian Chen, Hanyang Zhao, Henry Lam et al.
ICLR 2025arXiv:2405.14953
15
citations
MMCSBench: A Fine-Grained Benchmark for Large Vision-Language Models in Camouflage Scenes
Jin Zhang, Ruiheng Zhang, Zhe Cao et al.
NEURIPS 2025
Rethinking Invariance in In-context Learning
Lizhe Fang, Yifei Wang, Khashayar Gatmiry et al.
ICLR 2025arXiv:2505.04994
11
citations
Robust Function-Calling for On-Device Language Model via Function Masking
Qiqiang Lin, Muning Wen, Qiuying Peng et al.
ICLR 2025arXiv:2410.04587
42
citations
RouteLLM: Learning to Route LLMs from Preference Data
Isaac Ong, Amjad Almahairi, Vincent Wu et al.
ICLR 2025
24
citations
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Ye Wang, Ziheng Wang, Boshen Xu et al.
NEURIPS 2025oralarXiv:2503.13377
49
citations
Vulnerability-Aware Spatio-Temporal Learning for Generalizable Deepfake Video Detection
Dat NGUYEN, Marcella Astrid, Anis Kacem et al.
ICCV 2025arXiv:2501.01184
1
citations
HGCN2SP: Hierarchical Graph Convolutional Network for Two-Stage Stochastic Programming
Yang Wu, Yifan Zhang, Zhenxing Liang et al.
ICML 2024arXiv:2511.16027
4
citations
Neural Redshift: Random Networks are not Random Functions
Damien Teney, Armand Nicolicioiu, Valentin Hartmann et al.
CVPR 2024arXiv:2403.02241
36
citations
PAPM: A Physics-aware Proxy Model for Process Systems
Pengwei Liu, Zhongkai Hao, Xingyu Ren et al.
ICML 2024oralarXiv:2407.05232
1
citations