"zero-shot performance" Papers
7 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
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