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Xiangtian Ji

2 accepted papers

2026

Tiny Brains, Giant Impact: Uncovering the Keystone Neurons of LLM with Just a Few Prompts

ICML 2026poster

Large language models (LLMs) display strong comprehensive abilities, yet the internal mechanisms that support these behaviors remain insufficiently understood. In this work, we show that across a wide range of open-weight Transformers, a subset of neurons remains consistently highly activated during…

Cited by 0SourceScholar
2025

RSafe: Incentivizing proactive reasoning to build robust and adaptive LLM safeguards

NeurIPS 2025poster

Large Language Models (LLMs) continue to exhibit vulnerabilities despite deliberate safety alignment efforts, posing significant risks to users and society. To safeguard against the risk of policy-violating content, system-level moderation via external guard models—designed to monitor LLM inputs and…

Cited by 0SourcecodeScholar