collaborators

5 papers

cs.AI2026

FTB Graph: Determining and Validating First-token Broadcasters and Language-Identity Head Circuits in Multilingual Language Models

Arjun Pillai, Christian Hoang, Anjelo Laroza

Large language models operating in multilingual contexts must resolve target response languages early in generation, yet the causal circuitry governing first-token language identit…

cs.CL2026

Meddies-PII: A Multilingual Framework for Personally Identifiable Information Extraction in Clinical De-identification

Linh Uyen Le, Christian Hoang, Ho Dinh Tri +1

Clinical de-identification relies on accurately identifying personally identifiable information (PII). However, manually annotated datasets are costly to construct, while existing…

cs.CL2026

Last Translation Benchmark

Vilém Zouhar, Niyati Bafna, Mukund Choudhary +263

For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, stan…

cs.CL2026

How Perturbations Propagate: A Multi-Level Analysis of Robustness in Large Language Models

Dun Li Chan, Emily Liu, Niyathi Allu +1

Language models encounter typos, corrupted text, altered words, and disrupted token order, yet robustness is usually evaluated only through output behavior. We study how six natura…

cs.CL2026

First-Token Broadcasters: Mechanistic Origins of Language Identity and Distributed Robustness in Transformers

Arjun Pillai, Christian Hoang, Anjelo Jann Laroza

Why do multilingual language models sometimes generate in the wrong language, and why is this so hard to fix? We introduce Language Identity Head Ablation (LIHA), a causal interven…