3 papers
cs.CL2026
PCA-guided Activation Scaling for Monotonic Bidirectional Control over LLM Sycophancy
Zheng Chen, Zhaoxin Feng, Yip Tin Po +3
Large language models (LLMs) exhibit sycophancy, a tendency to agree with user beliefs regardless of factual accuracy. This can reinforce misconceptions, but eliminating it entirel…
cs.GT2026
On the Incompatibility of Weighted PROPX and Pareto Optimality for Indivisible Chores
Haris Aziz, Bo Li
Proportionality (PROP) is one of the simplest fairness criteria for allocating items among agents with additive preferences. With indivisible chores, however, PROP is not always sa…
cs.OS2026
From LLM Inference to Agentic Workloads: Characterization and Implications for Serving Systems
Chaokun Chang, Yukun Zhou, Kaihua Fu +10
Agentic applications are shifting AI serving from isolated model inference to long-running workloads in which LLMs coordinate tools, environments, and persistent state. However, th…