activity
20242026
collaborators

5 papers

cs.HC2026

Structure-Aware Rendering: How Code Reveal Shapes Programmers' Visual Attention

Xiaotian Su, Jan Brasser, David Robert Reich +2

AI coding interfaces present generated code either all at once or token-by-token. These rendering strategies reflect model generation rather than how programmers actually read code…

cs.CL2026

A Factorial Study of Synthetic Data Generation for Low-Resource Machine Translation using Grammar Books

Varun Ghat Ravikumar, Sina Ahmadi, Lena Jäger +1

Most endangered languages lack the parallel data required for machine translation, despite the existence of descriptive grammar books. We introduce a pipeline that uses large langu…

cs.CR2026

Training LLMs to Enforce Multi-Level Instruction Hierarchies via Gravity-Weighted Direct Preference Optimization

Lena S. Bolliger, Lena A. Jäger

Production LLMs receive instructions from sources with very different levels of trust, yet attend to every token with uniform architectural privilege. This is the structural vulner…

cs.CL2025

Leveraging In-Context Learning for Political Bias Testing of LLMs

Patrick Haller, Jannis Vamvas, Rico Sennrich +1

A growing body of work has been querying LLMs with political questions to evaluate their potential biases. However, this probing method has limited stability, making comparisons be…

cs.CL2024

EMTeC: A Corpus of Eye Movements on Machine-Generated Texts

Lena Sophia Bolliger, Patrick Haller, Isabelle Caroline Rose Cretton +3

The Eye Movements on Machine-Generated Texts Corpus (EMTeC) is a naturalistic eye-movements-while-reading corpus of 107 native English speakers reading machine-generated texts. The…