Summary of Exploring Task Unification in Graph Representation Learning Via Generative Approach, by Yulan Hu et al.
Exploring Task Unification in Graph Representation Learning via Generative Approachby Yulan Hu, Sheng Ouyang, Zhirui…
Exploring Task Unification in Graph Representation Learning via Generative Approachby Yulan Hu, Sheng Ouyang, Zhirui…
Multi-Modal Hallucination Control by Visual Information Groundingby Alessandro Favero, Luca Zancato, Matthew Trager, Siddharth Choudhary,…
C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersionby Hee Suk Yoon,…
RewardBench: Evaluating Reward Models for Language Modelingby Nathan Lambert, Valentina Pyatkin, Jacob Morrison, LJ Miranda,…
VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesisby Yumeng Li, William Beluch, Margret Keuper,…
Ground-A-Score: Scaling Up the Score Distillation for Multi-Attribute Editingby Hangeol Chang, Jinho Chang, Jong Chul…
ADAPT to Robustify Prompt Tuning Vision Transformersby Masih Eskandar, Tooba Imtiaz, Zifeng Wang, Jennifer DyFirst…
Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Modelsby Elaine Sui, Xiaohan…
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compressionby Zhuoshi Pan, Qianhui Wu, Huiqiang…
Prompt-fused framework for Inductive Logical Query Answeringby Zezhong Xu, Peng Ye, Lei Liang, Huajun Chen,…