42 citations · 160 across the 27 of their papers we have counts for
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cs.LG2026
Geometry Conflict: Explaining and Controlling Forgetting in LLM Continual Post-Training
Yuanyi Wang, Yifan Yang, Su Lu +9
Continual post-training aims to extend large language models (LLMs) with new knowledge, skills, and behaviors, yet it remains unclear when sequential updates enable capability tran…
cs.LG2024
JavaBench: A Benchmark of Object-Oriented Code Generation for Evaluating Large Language Models
Jialun Cao, Zhiyong Chen, Jiarong Wu +2
Code generation benchmarks such as HumanEval are widely adopted to evaluate LLMs' capabilities. However, after consolidating the latest 24 benchmarks, we noticed three significant…