20 papers
Parameterized Fair Resource Allocation under Diversity Constraints
Keke Huang, Yik Yu Ng, Laks V. S. Lakshmanan +1
The paper introduces PRA, a parameterized framework that uses inequality‑aversion parameters to softly enforce diversity constraints in resource allocation, allowing flexible trade…
WISERouter: LLM Routing with Workload Budget Constraint
Yifei Li, Zihui Gao, Laks V. S. Lakshmanan
Large language models (LLMs) achieve impressive performance across multiple domains, but using the most capable model for every query is prohibitive at scale. LLM routing exploits…
DRFLOW: A Deep Research Benchmark for Personalized Workflow Prediction
Md Tawkat Islam Khondaker, Raymond Li, Muhammad Abdul-Mageed +2
Deep research (DR) systems are increasingly used for complex information-seeking tasks, but existing works mainly focus on generating reports and summaries. In contrast, many enter…
Topology-Aware LLM-Driven Social Simulation: A Unified Framework for Efficient and Realistic Agent Dynamics
Yuwei Xu, Shulun Zhang, Yingli Zhou +3
Social simulation is essential for understanding collective human behavior by modeling how individual interactions give rise to large-scale social dynamics. Recent advances in larg…
Chinese Short-Form Creative Content Generation via Explanation-Oriented Multi-Objective Optimization
Shanlin Zhou, Xinpeng Wang, Jianxun Lian +4
Chinese demonstrates high semantic compactness and rich metaphorical expressiveness, enabling limited text to convey dense meanings while increasing the difficulty of generation an…
A Multi-Agent Approach for Claim Verification from Tabular Data Documents
Rudra Ranajee Saha, Laks V. S. Lakshmanan, Raymond T. Ng
We present a novel approach for claim verification from tabular data documents. Recent LLM-based approaches either employ complex pretraining/fine-tuning or decompose verification…