2 citations · 2 across the 3 of their papers we have counts for
5 papers
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…
A Benchmark for Deep Information Synthesis
Debjit Paul, Daniel Murphy, Milan Gritta +14
Large language model (LLM)-based agents are increasingly used to solve complex tasks involving tool use, such as web browsing, code execution, and data analysis. However, current e…
Eye-Tracking-while-Reading: A Living Survey of Datasets with Open Library Support
Deborah N. Jakobi, David R. Reich, Paul Prasse +3
Eye-tracking-while-reading corpora are a valuable resource for many different disciplines and use cases. Use cases range from studying the cognitive processes underlying reading to…
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…
Language models emulate certain cognitive profiles: An investigation of how predictability measures interact with individual differences
Patrick Haller, Lena S. Bolliger, Lena A. Jäger
To date, most investigations on surprisal and entropy effects in reading have been conducted on the group level, disregarding individual differences. In this work, we revisit the p…