Search-based test generation for Android apps. - Iván Arcuschin Moreno (ICSE (Companion Volume), 2020)

Algorithm or Representation?: An empirical study on how SAPIENZ achieves coverage. - Iván Arcuschin Moreno; Juan Pablo Galeotti; Diego Garbervetsky (AST@ICSE, 2020)

On the feasibility and challenges of synthesizing executable Espresso tests. - Iván Arcuschin; Juan Pablo Galeotti; Christian Ciccaroni; José Miguel Rojas (AST@ICSE, 2022)

An Empirical Study on How Sapienz Achieves Coverage and Crash Detection. - Iván Arcuschin; Juan Pablo Galeotti; Diego Garbervetsky (J. Softw. Evol. Process., 2023)

WallMauer: Robust Code Coverage Instrumentation for Android Apps. - Michael Auer; Iván Arcuschin Moreno; Gordon Fraser 001 (AST@ICSE, 2024)

Brewing Up Reliability: Espresso Test Generation for Android Apps. - Iván Arcuschin; Lisandro Di Meo; Michael Auer; Juan P. Galeotti; Gordon Fraser 001 (ICST, 2024)

InterpBench: Semi-Synthetic Transformers for Evaluating Mechanistic Interpretability Techniques. - Rohan Gupta; Iván Arcuschin Moreno; Thomas Kwa; Adrià Garriga-Alonso (NeurIPS, 2024)

Chain-of-Thought Reasoning In The Wild Is Not Always Faithful. - Iván Arcuschin; Jett Janiak; Robert Krzyzanowski; Senthooran Rajamanoharan; Neel Nanda; Arthur Conmy (CoRR, 2025)

MIB: A Mechanistic Interpretability Benchmark. - Aaron Mueller; Atticus Geiger; Sarah Wiegreffe; Dana Arad; Iván Arcuschin; Adam Belfki; Yik Siu Chan; Jaden Fiotto-Kaufman; Tal Haklay; Michael Hanna 001; Jing Huang; Rohan Gupta; et al. (CoRR, 2025)

Understanding Reasoning in Thinking Language Models via Steering Vectors. - Constantin Venhoff; Iván Arcuschin; Philip Torr 001; Arthur Conmy; Neel Nanda (CoRR, 2025)