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20242026
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cs.AI2026

EvoEmo: Towards Evolved Emotional Policies for Adversarial LLM Agents in Multi-Turn Price Negotiation

Yunbo Long, Liming Xu, Lukas Beckenbauer +2

Recent research on Chain-of-Thought (CoT) reasoning in Large Language Models (LLMs) has demonstrated that agents can engage in \textit{complex}, \textit{multi-turn} negotiations, o…

cs.AI2026

EmoMAS: Emotion-Aware Multi-Agent System for High-Stakes Edge-Deployable Negotiation with Bayesian Orchestration

Yunbo Long, Yuhan Liu, Liming Xu

Large language models (LLMs) has been widely used for automated negotiation, but their high computational cost and privacy risks limit deployment in privacy-sensitive, on-device se…

cs.AI2026

Automating Supply Chain Disruption Monitoring via an Agentic AI Approach

Sara AlMahri, Liming Xu, Alexandra Brintrup

Modern supply chains are increasingly exposed to disruptions from geopolitical events, demand shocks, trade restrictions, to natural disasters. While many of these disruptions orig…

cs.AI2025

SynDelay: A Synthetic Dataset for Delivery Delay Prediction

Liming Xu, Yunbo Long, Alexandra Brintrup

Artificial intelligence (AI) is transforming supply chain management, yet progress in predictive tasks -- such as delivery delay prediction -- remains constrained by the scarcity o…

cs.AI2024

Towards Autonomous Supply Chains: Definition, Characteristics, Conceptual Framework, and Autonomy Levels

Liming Xu, Stephen Mak, Yaniv Proselkov +1

Recent global disruptions, such as the pandemic and geopolitical conflicts, have profoundly exposed vulnerabilities in traditional supply chains, requiring exploration of more resi…