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Can watermarks survive translation? on the cross-lingual consistency of text watermark for large language models
Text watermarking technology aims to tag and identify content produced by large language
models (LLMs) to prevent misuse. In this study, we introduce the concept of cross-lingual …
models (LLMs) to prevent misuse. In this study, we introduce the concept of cross-lingual …
Limited ability of llms to simulate human psychological behaviours: a psychometric analysis
NB Petrov, G Serapio-García, J Rentfrow - arxiv preprint arxiv:2405.07248, 2024 - arxiv.org
The humanlike responses of large language models (LLMs) have prompted social scientists
to investigate whether LLMs can be used to simulate human participants in experiments …
to investigate whether LLMs can be used to simulate human participants in experiments …
The better angels of machine personality: How personality relates to llm safety
Personality psychologists have analyzed the relationship between personality and safety
behaviors in human society. Although Large Language Models (LLMs) demonstrate …
behaviors in human society. Although Large Language Models (LLMs) demonstrate …
Measuring bargaining abilities of llms: A benchmark and a buyer-enhancement method
Bargaining is an important and unique part of negotiation between humans. As LLM-driven
agents learn to negotiate and act like real humans, how to evaluate agents' bargaining …
agents learn to negotiate and act like real humans, how to evaluate agents' bargaining …
Evaluating psychological safety of large language models
In this work, we designed unbiased prompts to systematically evaluate the psychological
safety of large language models (LLMs). First, we tested five different LLMs by using two …
safety of large language models (LLMs). First, we tested five different LLMs by using two …
Shall we team up: Exploring spontaneous cooperation of competing llm agents
Large Language Models (LLMs) have increasingly been utilized in social simulations, where
they are often guided by carefully crafted instructions to stably exhibit human-like behaviors …
they are often guided by carefully crafted instructions to stably exhibit human-like behaviors …
Benchmarking Distributional Alignment of Large Language Models
N Meister, C Guestrin, T Hashimoto - arxiv preprint arxiv:2411.05403, 2024 - arxiv.org
Language models (LMs) are increasingly used as simulacra for people, yet their ability to
match the distribution of views of a specific demographic group and be\textit {distributionally …
match the distribution of views of a specific demographic group and be\textit {distributionally …
What Limits LLM-based Human Simulation: LLMs or Our Design?
We argue that advancing LLM-based human simulation requires addressing both LLM's
inherent limitations and simulation framework design challenges. Recent studies have …
inherent limitations and simulation framework design challenges. Recent studies have …
Exploring the Potential of Large Language Models to Simulate Personality
M Molchanova, A Mikhailova, A Korzanova… - arxiv preprint arxiv …, 2025 - arxiv.org
With the advancement of large language models (LLMs), the focus in Conversational AI has
shifted from merely generating coherent and relevant responses to tackling more complex …
shifted from merely generating coherent and relevant responses to tackling more complex …
Text-based Personality Prediction Using Large Language Models
M Molchanova, D Olshevskaya - 2024 2nd International …, 2024 - ieeexplore.ieee.org
This paper addresses the task of text-based personality detection using Large Language
Models (LLMs). The study focuses primarily on exploring the text-based detection of …
Models (LLMs). The study focuses primarily on exploring the text-based detection of …