aiBACKGROUND
I-CARE: Analysis of interference-related phenomena in a controllable, diverse an
BACKGROUND
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20 May
Interference-Aware Multi-Task Unlearning
arXiv:2605.19042v1 Announce Type: new Abstract: Machine unlearning aims to remove the contribution of designated training data from a trained model while preserving performance on
REPORT · WHERE · ArXiv CS.AIOPEN STORY
7 May
Deployment-Relevant Alignment Cannot Be Inferred from Model-Level Evaluation Alone
arXiv:2605.04454v1 Announce Type: new Abstract: Alignment evaluation in machine learning has largely become evaluation of models. Influential benchmarks score model outputs under
REPORT · WHAT · ArXiv CS.AIOPEN STORY
11 Aug
Controlled Memory Interference in Continual LLM Agents
arXiv:2608.07622v1 Announce Type: new Abstract: Long-term memory enables AI agents to maintain continuity across sessions, personalize behavior, and evolve through accumulated
REPORT · WHAT · ArXiv CS.AIOPEN STORY
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