From the 1 of 12 linked papers with an AI index.
1 citations · 1 across the 8 of their papers we have counts for
4 papers · 1 filter
DRIFTLENS: Measuring Memory-Induced Reasoning Drift in Personalized Language Models
Xi Fang, Weijie Xu, Yingqiang Ge +3
The paper introduces DRIFTLENS, a framework for measuring how injecting user-specific memory into personalized language models changes the models' reasoning steps, and evaluates me…
The Personalization Trap: How User Memory Alters Emotional Reasoning in LLMs
Xi Fang, Weijie Xu, Yuchong Zhang +3
When an AI assistant remembers that Sarah is a single mother working two jobs, does it interpret her stress differently than if she were a wealthy executive? As personalized AI sys…
Stop Comparing LLM Agents Without Disclosing the Harness
Yunbei Zhang, Janet Wang, Yingqiang Ge +3
This position paper argues that, for long-horizon tasks evaluated across models with comparable frontier capability, the agent execution harness, namely the infrastructure layer th…
Distractor Injection Attacks on Large Reasoning Models: Characterization and Defense
Zhehao Zhang, Weijie Xu, Shixian Cui +1
Recent advances in large reasoning models (LRMs) have enabled remarkable performance on complex tasks such as mathematics and coding by generating long Chain-of-Thought (CoT) trace…