3 papers
cs.CL2026
HumanLLM: Benchmarking and Improving LLM Anthropomorphism via Human Cognitive Patterns
Xintao Wang, Jian Yang, Weiyuan Li +8
Large Language Models (LLMs) have demonstrated remarkable capabilities in reasoning and generation, serving as the foundation for advanced persona simulation and Role-Playing Langu…
cs.LG2025
Large Language Model Compression via the Nested Activation-Aware Decomposition
Jun Lu, Tianyi Xu, Bill Ding +2
In this paper, we tackle the critical challenge of compressing large language models (LLMs) to facilitate their practical deployment and broader adoption. We introduce a novel post…
cs.CL2024
C3oT: Generating Shorter Chain-of-Thought without Compromising Effectiveness
Yu Kang, Xianghui Sun, Liangyu Chen +1
Generating Chain-of-Thought (CoT) before deriving the answer can effectively improve the reasoning capabilities of large language models (LLMs) and significantly improve the accura…