2 papers
cs.LG2026
EMO: Frustratingly Easy Progressive Training of Extendable MoE
Linghao Jin, Chufan Shi, Huijuan Wang +4
Sparse Mixture-of-Experts (MoE) models offer a powerful way to scale model size without increasing compute, as per-token FLOPs depend only on k active experts rather than the total…
cs.CL2026
Modeling Community Attitude through Reaction Tone: A Human-AI Collaborative Framework for Evaluating LLM Alignment with Linguistic Behaviors in Online Communities
Nuan Wen, Xuezhe Ma
Large language models (LLMs) are increasingly utilized as proxies for computational social analysis; yet, their ability to faithfully represent the "thick descriptions" (Geertz, 19…