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V. Palit

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#machine learning Preprint Oct 2026

When Forgetting is not Catastrophic: On the Mechanics of Spurious Forgetting

Knowledge that a language model appears to forget during finetuning often remains stored and can be recovered, a phenomenon called spurious forgetting. Finetuning on new facts can even produce forgetting that undoes itself: recall of the old facts collapses, recovers as training continues on new facts alone, and only t...

V. Palit, Florent Draye, Nicolas Zucchet et al. · 0 citations

Simulating Eutopia: Revisiting Long-term Fairness with Outcomes, Performativity, and Dynamics

This paper revisit the nuances of long-term fairness achievable by an ADM-- specifically, through the lens of a loan approver inducing a population-level wealth dynamics, by developing Eutopia: a lending-process simulator enabled with a novel performative data generator to learn long-term fair strategies.

V. Palit, Udvas Das, Brahim Driss et al. · 0 citations
#machine learning Preprint Aug 2026

How Do Linear Probes Emerge? A Circuit-Tracing Framework with Concept-Targeted Attribution

Concept-Targeted Attribution (CTA) provides a framework for moving from behavioral probe accuracy to mechanistic explanations of probe performance, enabling more detailed audits of internal concept representations, including safety-critical ones.

V. Palit, Florent Draye, Terry Jingchen Zhang et al. · 0 citations

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