"zero-shot performance" Papers
10 papers found
$\boldsymbol{\lambda}$-Orthogonality Regularization for Compatible Representation Learning
Simone Ricci, Niccolò Biondi, Federico Pernici et al.
NeurIPS 2025poster
3
citations
AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents
Ke Yang, Yao Liu, Sapana Chaudhary et al.
ICLR 2025posterarXiv:2410.13825
66
citations
DiTTo-TTS: Diffusion Transformers for Scalable Text-to-Speech without Domain-Specific Factors
Keon Lee, Dong Won Kim, Jaehyeon Kim et al.
ICLR 2025posterarXiv:2406.11427
28
citations
Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models
Ben Finkelshtein, Ismail Ilkan Ceylan, Michael Bronstein et al.
NeurIPS 2025posterarXiv:2506.14291
10
citations
Is Large-scale Pretraining the Secret to Good Domain Generalization?
Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis et al.
ICLR 2025posterarXiv:2412.02856
5
citations
TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data
Jeremy Irvin, Emily Liu, Joyce Chen et al.
ICLR 2025oralarXiv:2410.06234
45
citations
Agent Instructs Large Language Models to be General Zero-Shot Reasoners
Nicholas Crispino, Kyle Montgomery, Fankun Zeng et al.
ICML 2024poster
Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data
Jiahan Zhang, Qi Wei, Feng Liu et al.
ICML 2024poster
Evolution-Inspired Loss Functions for Protein Representation Learning
Chengyue Gong, Adam Klivans, James Loy et al.
ICML 2024poster
Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection
Tim Salzmann, Markus Ryll, Alex Bewley et al.
ECCV 2024posterarXiv:2403.14270
8
citations