Summary of Exploring the Zero-shot Capabilities Of Llms Handling Multiple Problems at Once, by Zhengxiang Wang et al.
Exploring the Zero-Shot Capabilities of LLMs Handling Multiple Problems at onceby Zhengxiang Wang, Jordan Kodner,…
Exploring the Zero-Shot Capabilities of LLMs Handling Multiple Problems at onceby Zhengxiang Wang, Jordan Kodner,…
What is the Visual Cognition Gap between Humans and Multimodal LLMs?by Xu Cao, Bolin Lai,…
Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Modelsby Carson Denison, Monte MacDiarmid, Fazl Barez,…
RobustSAM: Segment Anything Robustly on Degraded Imagesby Wei-Ting Chen, Yu-Jiet Vong, Sy-Yen Kuo, Sizhuo Ma,…
Advancing High Resolution Vision-Language Models in Biomedicineby Zekai Chen, Arda Pekis, Kevin BrownFirst submitted to…
An Approach to Build Zero-Shot Slot-Filling System for Industry-Grade Conversational Assistantsby G P Shrivatsa Bhargav,…
OpenObj: Open-Vocabulary Object-Level Neural Radiance Fields with Fine-Grained Understandingby Yinan Deng, Jiahui Wang, Jingyu Zhao,…
Beyond Bare Queries: Open-Vocabulary Object Grounding with 3D Scene Graphby Sergey Linok, Tatiana Zemskova, Svetlana…
Can We Achieve High-quality Direct Speech-to-Speech Translation without Parallel Speech Data?by Qingkai Fang, Shaolei Zhang,…
Evaluating Zero-Shot Long-Context LLM Compressionby Chenyu Wang, Yihan Wang, Kai LiFirst submitted to arxiv on:…