11 citations · 26 across the 45 of their papers we have counts for
8 papers · 1 filter
Personality Anchoring for Social Simulation: Linking Personality, Social Behavior, and Interaction Success with LLM Agents
Vahid Sadiri Javadi, Aksa Aksa, Fryderyk Róg +2
Social interactions are shaped by the interplay of dispositional traits and situational context, yet systematically investigating how personality configurations between individuals…
Reinforcement Learning Can Amplify Emergent Misalignment from Harmless Rewards
Magnus Jørgenvåg, David Kaczér, Lasse Ruttert +3
Emergent misalignment (EM) is the surprising tendency of language models to become broadly misaligned after fine-tuning on narrowly misaligned examples. While EM has been extensive…
Shapes are not enough: CONSERVAttack and its use for finding vulnerabilities and uncertainties in machine learning applications
Philip Bechtle, Lucie Flek, Philipp Alexander Jung +7
In High Energy Physics, as in many other fields of science, the application of machine learning techniques has been crucial in advancing our understanding of fundamental phenomena.…
Plausible but Wrong: A case study on Agentic Failures in Astrophysical Workflows
Shivam Rawat, Lucie Flek
Agentic AI systems are increasingly being integrated into scientific workflows, yet their behavior under realistic conditions remains insufficiently understood. We evaluate CMBAgen…
Can LLM Agents Identify Spoken Dialects like a Linguist?
Tobias Bystrich, Lukas Hamm, Maria Hassan +3
Due to the scarcity of labeled dialectal speech, audio dialect classification is a challenging task for most languages, including Swiss German. In this work, we explore the ability…
Conspiracy Frame: a Semiotically-Driven Approach for Conspiracy Theories Detection
Heidi Campana Piva, Shaina Ashraf, Maziar Kianimoghadam Jouneghani +4
Conspiracy theories are anti-authoritarian narratives that lead to social conflict, impacting how people perceive political information. To help in understanding this issue, we int…
Label-Consistent Data Generation for Aspect-Based Sentiment Analysis Using LLM Agents
Mohammad H. A. Monfared, Lucie Flek, Akbar Karimi
We propose an agentic data augmentation method for Aspect-Based Sentiment Analysis (ABSA) that uses iterative generation and verification to produce high quality synthetic training…
PERSPECTRA: A Scalable and Configurable Pluralist Benchmark of Perspectives from Arguments
Shangrui Nie, Kian Omoomi, Lucie Flek +2
Pluralism, the capacity to engage with diverse perspectives without collapsing them into a single viewpoint, is critical for developing large language models that faithfully reflec…