3 papers
cs.AI2025
LLM-Based Multi-Agent System for Simulating and Analyzing Marketing and Consumer Behavior
Man-Lin Chu, Lucian Terhorst, Kadin Reed +3
Simulating consumer decision-making is vital for designing and evaluating marketing strategies before costly real-world deployment. However, post-event analyses and rule-based agen…
cs.CL2024
Abstract2Appendix: Academic Reviews Enhance LLM Long-Context Capabilities
Shengzhi Li, Kittipat Kampa, Rongyu Lin +2
Large language models (LLMs) have shown remarkable performance across various tasks, yet their ability to handle long-context reading remains challenging. This study explores the e…
cs.CL2024
Multi-modal Preference Alignment Remedies Degradation of Visual Instruction Tuning on Language Models
Shengzhi Li, Rongyu Lin, Shichao Pei
Multi-modal large language models (MLLMs) are expected to support multi-turn queries of interchanging image and text modalities in production. However, the current MLLMs trained wi…