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Malvina Nissim

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Demystifying Entropy-based Selection for Chain-of-Thought Compression in Large Reasoning Models

It is demonstrated that patching a subset of a few CoT tokens with their original activations recovers near-perfect full-trace performance, providing causal evidence that task information is not concentrated in a small set of CoT tokens identifiable by heuristics, but rather distributed across the full reasoning chain.

Sara Candussio, Daniel Scalena, Luca Bortolussi et al. · 0 citations
#natural language process... Preprint Sep 2026

Language, Language Models, and What We're Talking About

It is argued that this question cannot be answered if this question cannot be answered if a clearer distinction between language models designed as technical products and language models designed as tools for studying language itself is considered.

Malvina Nissim · 0 citations
Open access 2026

Challenging the Abilities of Large Language Models in Italian: a Community Initiative

CALAMITA is conceived as a rolling benchmark, enabling continuous integration of new tasks and models, and argues that this combination offers a blueprint for other languages and communities seeking inclusive and rigorous LLM evaluation practices.

Malvina Nissim, Danilo Croce, V. Patti et al. · 0 citations

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