4 papers
Population-Evolve: a Parallel Sampling and Evolutionary Method for LLM Math Reasoning
Yanzhi Zhang, Yitong Duan, Zhaoxi Zhang +2
Test-time scaling has emerged as a promising direction for enhancing the reasoning capabilities of Large Language Models in last few years. In this work, we propose Population-Evol…
Sparse Autoencoders Reveal Interpretable Structure in Small Gene Language Models
Haoxiang Guan, Jiyan He, Jie Zhang
Sparse autoencoders (SAEs) have recently emerged as a powerful tool for interpreting the internal representations of large language models (LLMs), revealing latent latent features…
No Free Lunch: Rethinking Internal Feedback for LLM Reasoning
Yanzhi Zhang, Zhaoxi Zhang, Haoxiang Guan +6
Reinforcement learning has emerged as a powerful paradigm for post-training large language models (LLMs) to improve reasoning. Approaches like Reinforcement Learning from Human Fee…
RedChronos: A Large Language Model-Based Log Analysis System for Insider Threat Detection in Enterprises
Chenyu Li, Zhengjia Zhu, Jiyan He +1
Internal threat detection (IDT) aims to address security threats within organizations or enterprises by identifying potential or already occurring malicious threats within vast amo…