Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning
Maggie Ziyu Huan · Yuetai Li · Tuney Zheng · Xiaoyu Xu · Seungone Kim · Minxin Du · Radha Poovendran · Graham Neubig · Xiang Yue
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Maggie Ziyu Huan · Yuetai Li · Tuney Zheng · Xiaoyu Xu · Seungone Kim · Minxin Du · Radha Poovendran · Graham Neubig · Xiang Yue
Fengqing Jiang · Yichen Feng · Yuetai Li · Luyao Niu · Basel Alomair · Radha Poovendran
The convergence of LLM-powered research assistants and AI-based peer review systems creates a critical vulnerability: fully automated publication loops where AI-generated research is evaluated by AI reviewers without human oversight. We investigate this through BadScientist, a framework that eval...
Yuetai Li · Zhangchen Xu · Fengqing Jiang · Bhaskar Ramasubramanian · Luyao Niu · Bill Yuchen Lin · Xiang Yue · Radha Poovendran
Fine-tuning large language models (LLMs) is intended to improve their reasoning capabilities, yet we uncover a counterintuitive effect: models often forget how to solve problems they previously answered correctly during training. We term this phenomenon Temporal Forgetting and show that it is wid...