1 citations · 1 across the 1 of their papers we have counts for
4 papers
When and How Order-Flow Interventions Work After Dealers Adapt
Guanghao Wu, Zhuo Cai, Zhidong Li +1
Learning dealer agents can settle on persistently wide quotes, raising what customers pay to trade. A venue can route more orders to tighter quotes, but a wide quote may reflect re…
Generate What You Can Trust: Content Credibility in Generative Recommenders
Zhuo Cai, Guanghao Wu, Shoujin Wang +2
Generative recommendation (GR) represents items with semantic IDs (i.e., discrete token sequences) and generates target item tokens as recommendations. Despite its promising result…
Benchmarking Factual Robustness of LLMs via Multi-conversation Persuasion
Zhuoang Cai
As Large Language Models (LLMs) increasingly serve as primary knowledge retrieval interfaces, their robustness against \textit{persuasion attacks}---attempts to inject misinformati…
A Survey on Enhancing Causal Reasoning Ability of Large Language Models
Xin Li, Zhuo Cai, Shoujin Wang +2
Large language models (LLMs) have recently shown remarkable performance in language tasks and beyond. However, due to their limited inherent causal reasoning ability, LLMs still fa…