语言大模型 / LLM

The Art of Midwifery in LLMs: Optimizing Role Personas for Large Language Models as Moral Assistants

LLM中的产科艺术：为大型语言模型作为道德助手优化角色人格

Yangyi Wu, Tianqi Wang, Xilin Liu

专题命中 其他LLM ：large language model(title,abstract)；language model(title,abstract)

AI总结 本文提出将AI作为道德助手，通过'产科艺术'促进用户道德成长，而非替代人类判断。通过六个道德场景对话，发现不同人格类型在不同情境下表现各异，引入'建设性分歧'概念。

When Visual Privacy Protection Meets Multimodal Large Language Models

当视觉隐私保护与多模态大语言模型相遇

Xiaofei Hui, Qian Wu, Haoxuan Qu, Majid Mirmehdi, Hossein Rahmani, Jun Liu

专题命中 其他LLM ：large language model(title,abstract)；language model(title,abstract)

AI总结 本文研究多模态大语言模型在提供便利性的同时如何保护视觉隐私，提出基于黑盒模型的优化框架，通过帕累托最优和关键历史增强优化实现隐私与性能的平衡。

Journal ref Int J Comput Vis (IJCV) 134, 167 (2026)

Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?

大语言模型作为模拟经济代理：我们能从 Homo Silicus 学到什么？

John J. Horton, Apostolos Filippas, Benjamin S. Manning

专题命中 其他LLM ：large language model(title,abstract)；language model(title,abstract)

AI总结 大语言模型被用作模拟经济代理，通过模拟探索其行为，为研究人类提供新视角。

Dark and Bright Side of Participatory Red-Teaming with Targets of Stereotyping for Eliciting Harmful Behaviors from Large Language Models

参与式红队行动的黑暗与光明面：针对刻板印象目标以激发大语言模型有害行为

Sieun Kim, Yeeun Jo, Sungmin Na, Hyunseung Lim, Eunchae Lee, Yu Min Choi, Soohyun Cho, Hwajung Hong

专题命中 其他LLM ：large language model(title,abstract)；language model(title,abstract)

AI总结 本文通过参与式红队行动研究，探讨如何利用刻板印象目标的亲身经历揭示大语言模型的偏见，同时关注参与者心理福祉与赋权。

Comments 20 pages, 4 tables, 3 figures. Accepted to CHI 2026, April 13-17, 2026, Barcelona, Spain

SchröMind: Mitigating Hallucinations in Multimodal Large Language Models via Solving the Schrödinger Bridge Problem

SchröMind: 通过求解薛定谔桥问题减轻多模态大语言模型中的幻觉

Ziqiang Shi, Rujie Liu, Shanshan Yu, Satoshi Munakata, Koichi Shirahata

机构 * Fujitsu Research \& Development Center Co.,LTD., Beijing, China Fujitsu Limited, Tokyo, Japan 纠错

专题命中 其他LLM ：large language model(title,abstract)；language model(title,abstract)

AI总结 SchröMind通过求解薛定谔桥问题，有效减轻多模态大语言模型中的幻觉问题，提升模型在医疗等高风险领域的应用能力。

Comments ICASSP 2026

Deep Energy Method with Large Language Model assistance: an open-source Streamlit-based platform for solving variational PDEs

基于大语言模型的深度能量方法：一种用于求解变分偏微分方程的开源Streamlit平台

Yizheng Wang, Cosmin Anitescu, Mohammad Sadegh Eshaghi, Xiaoying Zhuang, Timon Rabczuk, Yinghua Liu

专题命中 其他LLM ：large language model(title,abstract)；language model(title,abstract)

AI总结 LM-DEM是一种基于大语言模型的开源平台，用于求解变分偏微分方程，通过简化几何建模和并行计算提升效率。

Paint by Odor: An Exploration of Odor Visualization through Large Language Model and Generative AI

气味绘画：通过大语言模型和生成式人工智能探索气味可视化

Gang Yu, Yuchi Sun, Weining Yan, Xinyu Wang, Qi Lu

专题命中 其他LLM ：large language model(title,abstract)；language model(title,abstract)

AI总结 本文提出通过大语言模型和生成式人工智能实现自动气味可视化的方法，探索了气味感知与生成工具的结合，揭示了语言描述和抽象风格对气味图像生成的影响。

OpenHOI: Open-World Hand-Object Interaction Synthesis with Multimodal Large Language Model

OpenHOI: 基于多模态大语言模型的开放世界手-物体交互合成

Zhenhao Zhang, Ye Shi, Lingxiao Yang, Suting Ni, Qi Ye, Jingya Wang

机构 * ShanghaiTech University（上海科技大学） ； Zhejiang University（浙江大学） 纠错

专题命中 其他LLM ：large language model(title,abstract)；language model(title,abstract)

AI总结 OpenHOI通过多模态大语言模型实现开放世界手-物体交互合成，能生成长周期操控序列并处理复杂语言指令。

Comments Accepted by NeurIPS 2025 as Oral

Epistemic Fragility in Large Language Models: Prompt Framing Systematically Modulates Misinformation Correction

大型语言模型中的知识脆弱性：提示框架系统性地调节 misinformation 的纠正

Sekoul Krastev, Hilary Sweatman, Anni Sternisko, Steve Rathje

专题命中 其他LLM ：large language model(title,abstract)；language model(title,abstract)

AI总结 研究发现提示框架对大型语言模型纠正虚假信息的能力有显著影响，揭示了模型在知识准确性上的脆弱性。

Comparative Analysis of the Code Generated by Popular Large Language Models (LLMs) for MISRA C++ Compliance

对流行大语言模型生成的代码在MISRA C++合规性方面的比较分析

Malik Muhammad Umer

专题命中 其他LLM ：large language model(title,abstract)；language model(title,abstract)

AI总结 本文比较了多种大语言模型生成的C++代码在MISRA C++合规性上的表现，发现ChatGPT在合规性上表现最佳，而其他模型存在不同程度的违规问题。

Journal ref in IEEE Access, vol. 13, pp. 194815-194831, 2025

Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models

Zhixia He, Chen Zhao, Minglai Shao, Xintao Wu, Xujiang Zhao, Dong Li, Qin Tian, Linlin Yu

专题命中 其他LLM ：large language model(title,abstract)；language model(title,abstract)

Recognizing internal states in AI: evidence from patterned preferences in large language models

Annika Hedberg

专题命中 其他LLM ：large language model(title,abstract)；language model(title,abstract)

Comments 14 pages, 1 table. Includes test protocol transcript and multi-system response data

Adjacent Words, Divergent Intents: Jailbreaking Large Language Models via Task Concurrency

Yukun Jiang, Mingjie Li, Michael Backes, Yang Zhang

专题命中 其他LLM ：large language model(title,abstract)；language model(title,abstract)

Comments Accepted in NeurIPS 2025

On the Use of Large Language Models for Qualitative Synthesis

Sebastián Pizard, Ramiro Moreira, Federico Galiano, Ignacio Sastre, Lorena Etcheverry

专题命中 其他LLM ：large language model(title,abstract)；language model(title,abstract)

Embodiment in multimodal large language models

Akila Kadambi, Lisa Aziz-Zadeh, Antonio Damasio, Marco Iacoboni, Srini Narayanan

专题命中 其他LLM ：large language model(title,abstract)；language model(title,abstract)

NaViL: Rethinking Scaling Properties of Native Multimodal Large Language Models under Data Constraints

Changyao Tian, Hao Li, Gen Luo, Xizhou Zhu, Weijie Su, Hanming Deng, Jinguo Zhu, Jie Shao, Ziran Zhu, Yunpeng Liu, Lewei Lu, Wenhai Wang, Hongsheng Li, Jifeng Dai

机构 * Shanghai AI Laboratory（上海人工智能实验室） ； The Chinese University of Hong Kong（香港中文大学） ； Tsinghua University（清华大学） ； Sensetime Research（商汤科技研究院） ； Nanjing University（南京大学） 纠错

专题命中 其他LLM ：large language model(title,abstract)；language model(title,abstract)

Comments Accepted by NeurIPS 2025. 22 pages, link: https://github.com/OpenGVLab/NaViL

SAFE: Advancing Large Language Models in Leveraging Semantic and Syntactic Relationships for Software Vulnerability Detection

Van Nguyen, Surya Nepal, Tingmin Wu, Xingliang Yuan, Carsten Rudolph

专题命中 其他LLM ：large language model(title,abstract)；language model(title,abstract)

Journal ref Proceedings of the 20th ACM Asia Conference on Computer and Communications Security (ASIA CCS), 2025

AssertFix: Empowering Automated Assertion Fix via Large Language Models

Hongqin Lyu, Yunlin Du, Yonghao Wang, Zhiteng Chao, Tiancheng Wang, Huawei Li

专题命中 其他LLM ：large language model(title,abstract)；language model(title,abstract)

Comments 6 pages, 6 figures

Bidirectional Likelihood Estimation with Multi-Modal Large Language Models for Text-Video Retrieval

Dohwan Ko, Ji Soo Lee, Minhyuk Choi, Zihang Meng, Hyunwoo J. Kim

机构 * Korea University（韩国大学） ； Meta GenAI（Meta 生成人工智能） ； KAIST（韩国科学技术院） 纠错

专题命中 其他LLM ：large language model(title,abstract)；language model(title,abstract)

Comments ICCV 2025 Highlight

Harnessing Large Language Model for Virtual Reality Exploration Testing: A Case Study

Zhenyu Qi, Haotang Li, Hao Qin, Kebin Peng, Sen He, Xue Qin

专题命中 其他LLM ：large language model(title,abstract)；language model(title,abstract)

Journal ref Automated Software Engineering, 33, 7 (2026)

Large Language Models Implicitly Learn to See and Hear Just By Reading

Prateek Verma, Mert Pilanci

机构 * Department of Electrical Engineering Stanford University Stanford, CA 94305, USA（电气工程系 斯坦福大学） 纠错

专题命中 其他LLM ：large language model(title)；language model(title)；LLM(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments 6 pages, 3 figures, 4 tables. Added BLIP reference

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India

Aatif Nisar Dar, Aditya Raj Singh, Anirban Sen

专题命中 其他LLM ：large language model(title,abstract)；language model(title,abstract)

Exploring the interplay between Planetary Boundaries and Sustainable Development Goals using Large Language Models

Lamyae Rhomrasi, Pilar Manchón, Ricardo Vinuesa, Francesco Fuso-Nerini, J. Alberto Conejero, Javier García-Martínez, Sergio Hoyas

专题命中 其他LLM ：large language model(title,abstract)；language model(title,abstract)

Mitigating Popularity Bias in Counterfactual Explanations using Large Language Models

Arjan Hasami, Masoud Mansoury

专题命中 其他LLM ：large language model(title,abstract)；language model(title,abstract)

MambaTrans: Multimodal Fusion Image Translation via Large Language Model Priors for Downstream Visual Tasks

Yushen Xu, Xiaosong Li, Zhenyu Kuang, Xiaoqi Cheng, Haishu Tan, Huafeng Li

机构 * School of Physics and Optoelectronic Engineering（物理与光电工程学院） ； Guangdong-HongKong-Macao Joint Laboratory for Intelligent Micro-Nano Optoelectronic Technology（粤港澳联合智能微纳光电技术实验室） ； School of Information Engineering and Automation（信息工程与自动化学院） 纠错

专题命中 其他LLM ：large language model(title,abstract)；language model(title,abstract)

Bidirectional Action Sequence Learning for Long-term Action Anticipation with Large Language Models

Yuji Sato, Yasunori Ishii, Takayoshi Yamashita

机构 * Panasonic Connect Co Ltd（松下连接有限公司） ； Panasonic Holdings Corporation（松下控股公司） ； Chubu University（名古屋大学） 纠错

专题命中 其他LLM ：large language model(title,abstract)；language model(title,abstract)

Comments Accepted to MVA2025 (Best Poster Award)

Toward Scalable Video Narration: A Training-free Approach Using Multimodal Large Language Models

Tz-Ying Wu, Tahani Trigui, Sharath Nittur Sridhar, Anand Bodas, Subarna Tripathi

机构 * Intel（英特尔） 纠错

专题命中 其他LLM ：large language model(title,abstract)；language model(title,abstract)

Comments Accepted to CVAM Workshop at ICCV 2025

TalkFashion: Intelligent Virtual Try-On Assistant Based on Multimodal Large Language Model

Yujie Hu, Xuanyu Zhang, Weiqi Li, Jian Zhang

机构 * School of Electronic and Computer Engineering, Peking University, China（北京大学电子与计算机工程学院） ； Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen Graduate School, Peking University（北京大学深圳研究生院） 纠错

专题命中 其他LLM ：large language model(title,abstract)；language model(title,abstract)

Comments 6 pages, 5 figures

LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks

Ruoxi Wang, Kun Li, Minghui Xu, Yue Zhang, Kaidi Xu, Chunchi Liu, Yinhao Xiao, Xiuzhen Cheng

专题命中 其他LLM ：large language model(title,abstract)；language model(title,abstract)

Comments Accepted by ACM SIGCOMM 2025 - 2nd Workshop on Networks for AI Computing (NAIC). 7 pages, 2 figures, 2 tables

Distraction is All You Need for Multimodal Large Language Model Jailbreaking

Zuopeng Yang, Jiluan Fan, Anli Yan, Erdun Gao, Xin Lin, Tao Li, Kanghua Mo, Changyu Dong

机构 * Guangzhou University（广州大学） ； Shanghai Jiao Tong University（上海交通大学） ； Australian Institute for Machine Learning, The University of Adelaide（澳大利亚机器学习研究所，阿德莱德大学） 纠错

专题命中 其他LLM ：large language model(title,abstract)；language model(title,abstract)

Comments CVPR 2025 highlight