ARL2: Aligning Retrievers for Black-box Large Language Models via Self-guided Adaptive Relevance Labelingby Lingxi Zhang,…
Identifying Factual Inconsistencies in Summaries: Grounding LLM Inference via Task Taxonomyby Liyan Xu, Zhenlin Su,…
Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Modelsby Christian Schlarmann,…
Zero shot VLMs for hate meme detection: Are we there yet?by Naquee Rizwan, Paramananda Bhaskar,…
Distilling Large Language Models for Text-Attributed Graph Learningby Bo Pan, Zheng Zhang, Yifei Zhang, Yuntong…
UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Predictionby Yuan Yuan, Jingtao Ding, Jie Feng,…
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphsby Yuhan Li, Peisong Wang, Zhixun Li, Jeffrey Xu…
Understanding Survey Paper Taxonomy about Large Language Models via Graph Representation Learningby Jun Zhuang, Casey…
Self-Augmented In-Context Learning for Unsupervised Word Translationby Yaoyiran Li, Anna Korhonen, Ivan VulićFirst submitted to…
How to Train Data-Efficient LLMsby Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, Lichan Hong,…