3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CL2024
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…
cs.CL2024★ 3 cited
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…
cs.CL2024
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…