22 citations · 23 across the 4 of their papers we have counts for
4 papers
Can LLMs Reliably Self-Report Adversarial Prefills, and How?
Quang Minh Nguyen, Uzair Ahmed, Taegyoon Kim
Prior work shows that large language models (LLMs) exhibit varying degrees of introspective capability on benign tasks. We extend the question to safety contexts and examine how re…
SOLAR: Scalable Optimization of Large-scale Architecture for Reasoning
Chen Li, Yinyi Luo, Anudeep Bolimera +4
Large Language Models excel in reasoning yet often rely on Chain-of-Thought prompts, limiting performance on tasks demanding more nuanced topological structures. We present SOLAR (…
Unitail: Detecting, Reading, and Matching in Retail Scene
Fangyi Chen, Han Zhang, Zaiwang Li +7
To make full use of computer vision technology in stores, it is required to consider the actual needs that fit the characteristics of the retail scene. Pursuing this goal, we intro…
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection
Chenchen Zhu, Fangyi Chen, Uzair Ahmed +2
Few-shot object detection is an imperative and long-lasting problem due to the inherent long-tail distribution of real-world data. Its performance is largely affected by the data s…