activity
20232026
collaborators

8 papers

cs.DL2026

The Ghost Couple: Correlated LLM Name Priors and Their Haunting of the Web and Academic Publishing

Michał Brzozowski, Neo Christopher Chung

These names do not exist. Elena Vasquez and Marcus Chen have appeared as volcano experts, astronauts, thriller protagonists, podcast hosts, and academic co-authors across hundreds…

cs.LG2026

Reading the Finetuning Prior: Verbatim Content Recovery via Contrastive Decoding Diffing

Michał Brzozowski, Zuzanna Dubanowska, Enrico Cassano +1

Narrowly finetuned language models memorize implanted content verbatim, but auditing what a deployed model has been taught, without access to its weights or training data, remains…

cs.LG2026

Aligned Training: A Parameter-Free Method to Improve Feature Quality and Stability of Sparse Autoencoders (SAE)

Michał Brzozowski, Neo Christopher Chung

Sparse autoencoders (SAEs) are one of the main methods to interpret the inner workings of deep neural networks (DNNs), decomposing activations into higher-dimensional features. How…

cs.AI2026

Semantic Adapter Routing with Fine-Tuning Task Embeddings

Enrico Cassano, Michał Brzozowski, Paolo Mandica +2

Parameter-efficient fine-tuning (PEFT) has led to model ecosystems in which a single backbone is paired with many task-specialized adapters. Given such a library, routing aims to s…

cs.LG2026

Ablating Archetypes: The Stability of Archetypal SAEs is an Artifact of Initialization and Metric Design

Michał Brzozowski, Neo Christopher Chung

Dictionary learning with sparse autoencoders (SAEs) produces overcomplete bases from neural network activations that are often interpretable and reduces polysemanticity. However, f…

cs.LG2026

GPart: End-to-End Isometric Fine-Tuning via Global Parameter Partitioning

Paolo Mandica, Michał Brzozowski, Zuzanna Dubanowska +1

Low-rank adaptation (LoRA) has become a dominant paradigm for parameter-efficient fine-tuning (PEFT) of large-scale deep learning models. However, its bilinear parameterization ind…

cs.LG2025

Representation-based Broad Hallucination Detectors Fail to Generalize Out of Distribution

Zuzanna Dubanowska, Maciej Żelaszczyk, Michał Brzozowski +2

We critically assess the efficacy of the current SOTA in hallucination detection and find that its performance on the RAGTruth dataset is largely driven by a spurious correlation w…

cs.CL2023

Contrastive News and Social Media Linking using BERT for Articles and Tweets across Dual Platforms

Jan Piotrowski, Marek Wachnicki, Mateusz Perlik +9

X (formerly Twitter) has evolved into a contemporary agora, offering a platform for individuals to express opinions and viewpoints on current events. The majority of the topics dis…