1 citations · 3 across the 8 of their papers we have counts for
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MMCOMPOSITION: Revisiting the Compositionality of Pre-trained Vision-Language Models
Hang Hua, Yunlong Tang, Ziyun Zeng +5
The advent of large Vision-Language Models (VLMs) has significantly advanced multimodal understanding, enabling more sophisticated and accurate integration of visual and textual in…
A Law of Next-Token Prediction in Large Language Models
Hangfeng He, Weijie J. Su
Large language models (LLMs) have been widely employed across various application domains, yet their black-box nature poses significant challenges to understanding how these models…
An Empirical Analysis on Large Language Models in Debate Evaluation
Xinyi Liu, Pinxin Liu, Hangfeng He
In this study, we investigate the capabilities and inherent biases of advanced large language models (LLMs) such as GPT-3.5 and GPT-4 in the context of debate evaluation. We discov…
Unveiling Divergent Inductive Biases of LLMs on Temporal Data
Sindhu Kishore, Hangfeng He
Unraveling the intricate details of events in natural language necessitates a subtle understanding of temporal dynamics. Despite the adeptness of Large Language Models (LLMs) in di…