5 citations · 9 across the 17 of their papers we have counts for
4 papers · 1 filter
Allocation Before Ranking: Decoupled Token Compression for OmniLLMs
Zhenghui Guo, Yilin Yang, Yuanbin Man +5
Token compression in OmniLLMs is typically posed as a single saliency-ranking problem: score each multimodal token, keep the top-K. We argue this abstraction is mis-specified. The…
CausalGraphX: A Counterfactual Graph Neural Network Framework for Explainable Systemic Risk Assessment
Rabimba Karanjai, Hemanth Madhavarao, Lei Xu +1
The interconnected nature of global financial systems makes them vulnerable to systemic risks, where the failure of a few institutions can trigger catastrophic cascading defaults.…
Evaluating the Quality of Randomness and Entropy in Tasks Supported by Large Language Models
Rabimba Karanjai, Yang Lu, Ranjith Chodavarapu +2
The rapid advancement of large language model (LLM) technology has led to diverse applications, many of which inherently require randomness, such as stochastic decision-making, gam…
Collaboration is all you need: LLM Assisted Safe Code Translation
Rabimba Karanjai, Sam Blackshear, Lei Xu +1
This paper introduces UniTranslator, a visionary framework that re-imagines code translation as a collaborative endeavor among multiple, compact LLMs. By orchestrating the interact…