3 citations · 3 across the 4 of their papers we have counts for
4 papers
LLMs are Superior Feedback Providers: Bootstrapping Reasoning for Lie Detection with Self-Generated Feedback
Tanushree Banerjee, Richard Zhu, Runzhe Yang +1
Large Language Models (LLMs) excel at generating human-like dialogues and comprehending text. However, understanding the subtleties of complex exchanges in language remains a chall…
CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs
Zirui Wang, Mengzhou Xia, Luxi He +10
Chart understanding plays a pivotal role when applying Multimodal Large Language Models (MLLMs) to real-world tasks such as analyzing scientific papers or financial reports. Howeve…
Fast Exact Retrieval for Nearest-neighbor Lookup (FERN)
Richard Zhu
Exact nearest neighbor search is a computationally intensive process, and even its simpler sibling -- vector retrieval -- can be computationally complex. This is exacerbated when r…
Comparing Importance Sampling Based Methods for Mitigating the Effect of Class Imbalance
Indu Panigrahi, Richard Zhu
Most state-of-the-art computer vision models heavily depend on data. However, many datasets exhibit extreme class imbalance which has been shown to negatively impact model performa…