8 papers
Framework of Thoughts: A Foundation Framework for Dynamic and Optimized Reasoning based on Chains, Trees, and Graphs
Felix Fricke, Simon Malberg, Georg Groh
Prompting schemes such as Chain of Thought, Tree of Thoughts, and Graph of Thoughts can significantly enhance the reasoning capabilities of large language models. However, most exi…
Safer Reasoning Traces: Measuring and Mitigating Chain-of-Thought Leakage in LLMs
Patrick Ahrend, Tobias Eder, Xiyang Yang +2
Chain-of-Thought (CoT) prompting improves LLM reasoning but can increase privacy risk by resurfacing personally identifiable information (PII) from the prompt into reasoning traces…
Agent2Agent Threats in Safety-Critical LLM Assistants: A Human-Centric Taxonomy
Lukas Stappen, Ahmet Erkan Turan, Johann Hagerer +1
The integration of Large Language Model (LLM)-based conversational agents into vehicles creates novel security challenges at the intersection of agentic AI, automotive safety, and…
A Comprehensive Evaluation of Cognitive Biases in LLMs
Simon Malberg, Roman Poletukhin, Carolin M. Schuster +1
We present a large-scale evaluation of 30 cognitive biases in 20 state-of-the-art large language models (LLMs) under various decision-making scenarios. Our contributions include a…
Deep Research Brings Deeper Harm
Shuo Chen, Zonggen Li, Zhen Han +7
Deep Research (DR) agents built on Large Language Models (LLMs) can perform complex, multi-step research by decomposing tasks, retrieving online information, and synthesizing detai…
Tuning Into Bias: A Computational Study of Gender Bias in Song Lyrics
Danqing Chen, Adithi Satish, Rasul Khanbayov +2
The application of text mining methods is becoming increasingly prevalent, particularly within Humanities and Computational Social Sciences, as well as in a broader range of discip…