2 papers
cs.LG2025
HAMMER: Hamiltonian Curiosity Augmented Large Language Model Reinforcement
Ming Yang, Xiaofan Li, Zhiyuan Ma +4
Recent curriculum reinforcement learning for large language models (LLMs) typically rely on difficulty-based annotations for data filtering and ordering. However, such methods suff…
cs.CL2025
Pseudocode-Injection Magic: Enabling LLMs to Tackle Graph Computational Tasks
Chang Gong, Wanrui Bian, Zhijie Zhang +1
Graph computational tasks are inherently challenging and often demand the development of advanced algorithms for effective solutions. With the emergence of large language models (L…