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Academic · 1 min

Does LLM Alignment Really Need Diversity? An Empirical Study of Adapting RLVR Methods for Moral …

arXiv:2603.10588v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) has achieved remarkable success in logical reasoning tasks, yet whether large language model (LLM) …

Zhaowei Zhang, Xiaohan Liu, Xuekai Zhu, Junchao Huang, Ceyao Zhang, Zhiyuan Feng, Yaodong Yang, Xiaoyuan Yi, Xing Xie

18 views Mar 12

Academic · 1 min

Resource-constrained Amazons chess decision framework integrating large language models and graph attention

arXiv:2603.10512v1 Announce Type: new Abstract: Artificial intelligence has advanced significantly through the development of intelligent game-playing systems, providing rigorous testbeds for decision-making, strategic planning, and …

Tianhao Qian, Zhuoxuan Li, Jinde Cao, Xinli Shi, Hanjie Liu, Leszek Rutkowski

39 views Mar 12

Academic · 1 min

Assessing Cognitive Biases in LLMs for Judicial Decision Support: Virtuous Victim and Halo Effects

arXiv:2603.10016v1 Announce Type: cross Abstract: We investigate whether large language models (LLMs) display human-like cognitive biases, focusing on potential implications for assistance in judicial sentencing, …

Sierra S. Liu

44 views Mar 12

Academic · 1 min

Evolving Demonstration Optimization for Chain-of-Thought Feature Transformation

arXiv:2603.09987v1 Announce Type: cross Abstract: Feature Transformation (FT) is a core data-centric AI task that improves feature space quality to advance downstream predictive performance. However, …

Xinyuan Wang, Kunpeng Liu, Arun Vignesh Malarkkan, Yanjie Fu

12 views Mar 12

Academic · 1 min

MoE-SpAc: Efficient MoE Inference Based on Speculative Activation Utility in Heterogeneous Edge Scenarios

arXiv:2603.09983v1 Announce Type: cross Abstract: Mixture-of-Experts (MoE) models enable scalable performance but face severe memory constraints on edge devices. Existing offloading strategies struggle with I/O …

Shuhuai Li, Jianghao Lin, Dongdong Ge, Yinyu Ye

13 views Mar 12

Academic · 1 min

Nurture-First Agent Development: Building Domain-Expert AI Agents Through Conversational Knowledge Crystallization

arXiv:2603.10808v1 Announce Type: new Abstract: The emergence of large language model (LLM)-based agent frameworks has shifted the primary challenge in building domain-expert AI agents from …

Linghao Zhang

28 views Mar 12

Academic · 1 min

Agentic Control Center for Data Product Optimization

arXiv:2603.10133v1 Announce Type: new Abstract: Data products enable end users to gain greater insights about their data by providing supporting assets, such as example question-SQL …

Priyadarshini Tamilselvan, Gregory Bramble, Sola Shirai, Ken C. L. Wong, Faisal Chowdhury, Horst Samulowitz

10 views Mar 12

Academic · 1 min

Context Over Compute Human-in-the-Loop Outperforms Iterative Chain-of-Thought Prompting in Interview Answer Quality

arXiv:2603.09995v1 Announce Type: cross Abstract: Behavioral interview evaluation using large language models presents unique challenges that require structured assessment, realistic interviewer behavior simulation, and pedagogical …

Kewen Zhu, Zixi Liu, Yanjing Li

19 views Mar 12

Academic · 1 min

A Retrieval-Augmented Language Assistant for Unmanned Aircraft Safety Assessment and Regulatory Compliance

arXiv:2603.09999v1 Announce Type: cross Abstract: This paper presents the design and validation of a retrieval-based assistant that supports safety assessment, certification activities, and regulatory compliance …

Gabriele Immordino, Andrea Vaiuso, Marcello Righi

44 views Mar 12

Academic · 1 min

Empathy Is Not What Changed: Clinical Assessment of Psychological Safety Across GPT Model Generations

arXiv:2603.09997v1 Announce Type: cross Abstract: When OpenAI deprecated GPT-4o in early 2026, thousands of users protested under #keep4o, claiming newer models had "lost their empathy." …

Michael Keeman, Anastasia Keeman

22 views Mar 12

Academic · 1 min

Emulating Clinician Cognition via Self-Evolving Deep Clinical Research

arXiv:2603.10677v1 Announce Type: new Abstract: Clinical diagnosis is a complex cognitive process, grounded in dynamic cue acquisition and continuous expertise accumulation. Yet most current artificial …

Ruiyang Ren, Yuhao Wang, Yunsen Liang, Lan Luo, Jing Liu, Haifeng Wang, Cong Feng, Yinan Zhang, Chunyan Miao, Ji-Rong Wen, Wayne Xin Zhao

14 views Mar 12

Academic · 1 min

The System Hallucination Scale (SHS): A Minimal yet Effective Human-Centered Instrument for Evaluating Hallucination-Related Behavior …

arXiv:2603.09989v1 Announce Type: cross Abstract: We introduce the System Hallucination Scale (SHS), a lightweight and human-centered measurement instrument for assessing hallucination-related behavior in large language …

Heimo M\"uller, Dominik Steiger, Markus Plass, Andreas Holzinger

18 views Mar 12

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Articles

Does LLM Alignment Really Need Diversity? An Empirical Study of Adapting RLVR Methods for Moral …

Resource-constrained Amazons chess decision framework integrating large language models and graph attention

Assessing Cognitive Biases in LLMs for Judicial Decision Support: Virtuous Victim and Halo Effects

Evolving Demonstration Optimization for Chain-of-Thought Feature Transformation

MoE-SpAc: Efficient MoE Inference Based on Speculative Activation Utility in Heterogeneous Edge Scenarios

Nurture-First Agent Development: Building Domain-Expert AI Agents Through Conversational Knowledge Crystallization

Agentic Control Center for Data Product Optimization

Context Over Compute Human-in-the-Loop Outperforms Iterative Chain-of-Thought Prompting in Interview Answer Quality

A Retrieval-Augmented Language Assistant for Unmanned Aircraft Safety Assessment and Regulatory Compliance

Empathy Is Not What Changed: Clinical Assessment of Psychological Safety Across GPT Model Generations

Emulating Clinician Cognition via Self-Evolving Deep Clinical Research

The System Hallucination Scale (SHS): A Minimal yet Effective Human-Centered Instrument for Evaluating Hallucination-Related Behavior …

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