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Academic · 1 min

Analysis Of Linguistic Stereotypes in Single and Multi-Agent Generative AI Architectures

arXiv:2603.18729v1 Announce Type: new Abstract: Many works in the literature show that LLM outputs exhibit discriminatory behaviour, triggering stereotype-based inferences based on the dialect in …

Martina Ullasci, Marco Rondina, Riccardo Coppola, Flavio Giobergia, Riccardo Bellanca, Gabriele Mancari Pasi, Luca Prato, Federico Spinoso, Silvia Tagliente

25 views Mar 20

Academic · 1 min

Thinking with Constructions: A Benchmark and Policy Optimization for Visual-Text Interleaved Geometric Reasoning

arXiv:2603.18662v1 Announce Type: new Abstract: Geometric reasoning inherently requires "thinking with constructions" -- the dynamic manipulation of visual aids to bridge the gap between problem …

Haokun Zhao, Wanshi Xu, Haidong Yuan, Songjun Cao, Long Ma, Yanghua Xiao

20 views Mar 20

Academic · 1 min

A Computationally Efficient Learning of Artificial Intelligence System Reliability Considering Error Propagation

arXiv:2603.18201v1 Announce Type: new Abstract: Artificial Intelligence (AI) systems are increasingly prominent in emerging smart cities, yet their reliability remains a critical concern. These systems …

Fenglian Pan, Yinwei Zhang, Yili Hong, Larry Head, Jian Liu

82 views Mar 20

Academic · 1 min

Agentic Framework for Political Biography Extraction

arXiv:2603.18010v1 Announce Type: new Abstract: The production of large-scale political datasets typically demands extracting structured facts from vast piles of unstructured documents or web sources, …

Yifei Zhu, Songpo Yang, Jiangnan Zhu, Junyan Jiang

30 views Mar 20

Academic · 1 min

TherapyGym: Evaluating and Aligning Clinical Fidelity and Safety in Therapy Chatbots

arXiv:2603.18008v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used for mental-health support; yet prevailing evaluation methods--fluency metrics, preference tests, and generic dialogue …

Fangrui Huang, Souhad Chbeir, Arpandeep Khatua, Sheng Wang, Sijun Tan, Kenan Ye, Lily Bailey, Merryn Daniel, Ryan Louie, Sanmi Koyejo, Ehsan Adeli

27 views Mar 20

Academic · 1 min

Retrieval-Augmented LLM Agents: Learning to Learn from Experience

arXiv:2603.18272v1 Announce Type: new Abstract: While large language models (LLMs) have advanced the development of general-purpose agents, achieving robust generalization to unseen tasks remains a …

Thomas Palmeira Ferraz, Romain Deffayet, Vassilina Nikoulina, Herv\'e D\'ejean, St\'ephane Clinchant

20 views Mar 20

Academic · 1 min

A Concept is More Than a Word: Diversified Unlearning in Text-to-Image Diffusion Models

arXiv:2603.18767v1 Announce Type: new Abstract: Concept unlearning has emerged as a promising direction for reducing the risks of harmful content generation in text-to-image diffusion models …

Duc Hao Pham, Van Duy Truong, Duy Khanh Dinh, Tien Cuong Nguyen, Dien Hy Ngo, Tuan Anh Bui

35 views Mar 20

Academic · 1 min

Beyond Accuracy: An Explainability-Driven Analysis of Harmful Content Detection

arXiv:2603.18015v1 Announce Type: new Abstract: Although automated harmful content detection systems are frequently used to monitor online platforms, moderators and end users frequently cannot understand …

Trishita Dhara, Siddhesh Sheth

33 views Mar 20

Academic · 1 min

Interplay: Training Independent Simulators for Reference-Free Conversational Recommendation

arXiv:2603.18573v1 Announce Type: new Abstract: Training conversational recommender systems (CRS) requires extensive dialogue data, which is challenging to collect at scale. To address this, researchers …

Jerome Ramos, Feng Xia, Xi Wang, Shubham Chatterjee, Xiao Fu, Hossein A. Rahmani, Aldo Lipani

19 views Mar 20

Academic · 1 min

From Weak Cues to Real Identities: Evaluating Inference-Driven De-Anonymization in LLM Agents

arXiv:2603.18382v1 Announce Type: new Abstract: Anonymization is widely treated as a practical safeguard because re-identifying anonymous records was historically costly, requiring domain expertise, tailored algorithms, …

Myeongseob Ko, Jihyun Jeong, Sumiran Singh Thakur, Gyuhak Kim, Ruoxi Jia

14 views Mar 20

Academic · 1 min

MemMA: Coordinating the Memory Cycle through Multi-Agent Reasoning and In-Situ Self-Evolution

arXiv:2603.18718v1 Announce Type: new Abstract: Memory-augmented LLM agents maintain external memory banks to support long-horizon interaction, yet most existing systems treat construction, retrieval, and utilization …

Minhua Lin, Zhiwei Zhang, Hanqing Lu, Hui Liu, Xianfeng Tang, Qi He, Xiang Zhang, Suhang Wang

20 views Mar 20

Academic · 1 min

How LLMs Distort Our Written Language

arXiv:2603.18161v1 Announce Type: new Abstract: Large language models (LLMs) are used by over a billion people globally, most often to assist with writing. In this …

Marwa Abdulhai, Isadora White, Yanming Wan, Ibrahim Qureshi, Joel Leibo, Max Kleiman-Weiner, Natasha Jaques

24 views Mar 20

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Articles

Analysis Of Linguistic Stereotypes in Single and Multi-Agent Generative AI Architectures

Thinking with Constructions: A Benchmark and Policy Optimization for Visual-Text Interleaved Geometric Reasoning

A Computationally Efficient Learning of Artificial Intelligence System Reliability Considering Error Propagation

Agentic Framework for Political Biography Extraction

TherapyGym: Evaluating and Aligning Clinical Fidelity and Safety in Therapy Chatbots

Retrieval-Augmented LLM Agents: Learning to Learn from Experience

A Concept is More Than a Word: Diversified Unlearning in Text-to-Image Diffusion Models

Beyond Accuracy: An Explainability-Driven Analysis of Harmful Content Detection

Interplay: Training Independent Simulators for Reference-Free Conversational Recommendation

From Weak Cues to Real Identities: Evaluating Inference-Driven De-Anonymization in LLM Agents

MemMA: Coordinating the Memory Cycle through Multi-Agent Reasoning and In-Situ Self-Evolution

How LLMs Distort Our Written Language

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