语言大模型 / LLM

Understanding EFL Learners' Code-Switching and Teachers' Pedagogical Approaches in LLM-Supported Speaking Practice

理解外语学习者在LLM支持下的语用转换及教师教学方法

Junyeong Park, Jieun Han, Yeon Su Park, Youngbin Lee, Suin Kim, Juho Kim, Alice Oh, So-Yeon Ahn

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

AI总结 本研究探讨了LLM支持下EFL学习者语用转换的使用及教师教学策略，发现学习者通过语用转换表达文化情感，教师采用动态支架策略促进有意义学习。

HeavyWater and SimplexWater: Distortion-Free LLM Watermarks for Low-Entropy Next-Token Predictions

重水与简单水：用于低熵下一个词预测的无失真LLM水印

Dor Tsur, Carol Xuan Long, Claudio Mayrink Verdun, Hsiang Hsu, Chen-Fu Chen, Haim Permuter, Sajani Vithana, Flavio P. Calmon

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

AI总结 本文提出HeavyWater和SimplexWater两种无失真LLM水印方法，适用于低熵生成任务，实现高检测准确性和低文本失真。

Comments Presented at NeurIPS2025

Opponent Shaping in LLM Agents

Marta Emili Garcia Segura, Stephen Hailes, Mirco Musolesi

机构 * Department of Computer Science, University College London（计算机科学系，伦敦大学学院） ； Centre for Artificial Intelligence, University College London（人工智能中心，伦敦大学学院） ； Department of Computer Science, University of Bologna（计算机科学系，博洛尼亚大学） 纠错

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

Comments 29 pages, 15 figures, 15 tables

A Voter-Based Stochastic Rejection-Method Framework for Asymptotically Safe Language Model Outputs

Jake R. Watts, Joel Sokol

机构 * Department of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA（工业与系统工程系，佐治亚理工学院，亚特兰大，佐治亚州，美国） 纠错

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

Comments 7 pages, 2 figures

MindEye-OmniAssist: A Gaze-Driven LLM-Enhanced Assistive Robot System for Implicit Intention Recognition and Task Execution

Zejia Zhang, Bo Yang, Xinxing Chen, Weizhuang Shi, Haoyuan Wang, Wei Luo, Jian Huang

机构 * Hubei Key Laboratory of Brain-Inspired Intelligent Systems, Huazhong University of Science and Technology（脑启发智能系统湖北省重点实验室，华中科技大学） ； Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology（图像处理与智能控制教育部重点实验室，人工智能与自动化学院，华中科技大学） ； state key laboratory of intelligent vehicle safety technology, chongqing changan automobile co ltd（智能车辆安全技术 state key laboratory，重庆长安汽车有限公司） ； Science and technology innovation center, China ship development and design centre（科技创新中心，中国船舶工业设计研究中心） 纠错

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

LENS: Learning Ensemble Confidence from Neural States for Multi-LLM Answer Integration

Jizhou Guo

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

LLM-Guided Agentic Object Detection for Open-World Understanding

Furkan Mumcu, Michael J. Jones, Anoop Cherian, Yasin Yilmaz

机构 * University of South Florida（佛罗里达州立大学） ； Mitsubishi Electric Research Laboratories (MERL)（三菱电机研究实验室） 纠错

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

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute

Dujian Ding, Ankur Mallick, Shaokun Zhang, Chi Wang, Daniel Madrigal, Mirian Del Carmen Hipolito Garcia, Menglin Xia, Laks V. S. Lakshmanan, Qingyun Wu, Victor Rühle

机构 * The University of British Columbia（不列颠哥伦比亚大学） ； Microsoft（微软） ； Pennsylvania State University（宾夕法尼亚州立大学） ； AG2AI, Inc.（AG2AI公司） 纠错

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

Comments Accepted to ICML 2025 (main conference)

Effect of Selection Format on LLM Performance

Yuchen Han, Yucheng Wu, Jeffrey Willard

机构 * Washington University in St. Louis（圣路易斯华盛顿大学） ； Nanjing University of Posts and Telecommunications（南京邮电大学） ； Boston University（波士顿大学） 纠错

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

Technical Report for Argoverse2 Scenario Mining Challenges on Iterative Error Correction and Spatially-Aware Prompting

Yifei Chen, Ross Greer

机构 * Xi’an University of Technology（西安理工大学） ； University of California, Merced（加州大学默塞德分校） 纠错

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

Conversational Interfaces for Parametric Conceptual Architectural Design: Integrating Mixed Reality with LLM-driven Interaction

Ruochen Ji, Lyu Tiangang

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

AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Anselm Paulus, Arman Zharmagambetov, Chuan Guo, Brandon Amos, Yuandong Tian

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

Comments Accepted to ICML 2025. Code is available at http://github.com/facebookresearch/advprompter

STeCa: Step-level Trajectory Calibration for LLM Agent Learning

Hanlin Wang, Jian Wang, Chak Tou Leong, Wenjie Li

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

Comments Accepted by ACL2025 Findings

Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy

Tong Wu, Shujian Zhang, Kaiqiang Song, Silei Xu, Sanqiang Zhao, Ravi Agrawal, Sathish Reddy Indurthi, Chong Xiang, Prateek Mittal, Wenxuan Zhou

机构 * Princeton University（普林斯顿大学） ； Zoom Video Communications（Zoom视频通讯） 纠错

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

Comments Preprint

Journal ref ICLR 2025

StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization

Yiming Tang, Yi Fan, Chenxiao Yu, Tiankai Yang, Yue Zhao, Xiyang Hu

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

Wisdom from Diversity: Bias Mitigation Through Hybrid Human-LLM Crowds

Axel Abels, Tom Lenaerts

机构 * Machine Learning Group, Université Libre de Bruxelles（布鲁塞尔自由大学机器学习组） ； AI Lab, Vrije Universiteit Brussel（布鲁塞尔自由大学人工智能实验室） ； FARI, AI for the Common-Good Institute, ULB-VUB（ULB-VUB共同利益人工智能研究所） ； Center for Human-Compatible AI, UC Berkeley（伯克利人类兼容人工智能中心） 纠错

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

Comments Accepted for publication in the Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI 2025)

"I Would Have Written My Code Differently'': Beginners Struggle to Understand LLM-Generated Code

Yangtian Zi, Luisa Li, Arjun Guha, Carolyn Jane Anderson, Molly Q Feldman

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

Comments To appear in 33rd ACM International Conference on the Foundations of Software Engineering (FSE Companion '25), June 23-28, 2025, Trondheim, Norway

Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs

Tianqi Shang, Shu Yang, Weiqing He, Tianhua Zhai, Dawei Li, Bojian Hou, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Li Shen

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

Comments Accepted by AMIA-IS'25: AMIA Informatics Summit

Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025

Nitya Thakkar, Mert Yuksekgonul, Jake Silberg, Animesh Garg, Nanyun Peng, Fei Sha, Rose Yu, Carl Vondrick, James Zou

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

Comments 30 pages, 7 figures

Fuzzing BusyBox: Leveraging LLM and Crash Reuse for Embedded Bug Unearthing

Asmita, Yaroslav Oliinyk, Michael Scott, Ryan Tsang, Chongzhou Fang, Houman Homayoun

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

Towards Detecting Prompt Knowledge Gaps for Improved LLM-guided Issue Resolution

Ramtin Ehsani, Sakshi Pathak, Preetha Chatterjee

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

Human-LLM Coevolution: Evidence from Academic Writing

Mingmeng Geng, Roberto Trotta

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

COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act

Philipp Guldimann, Alexander Spiridonov, Robin Staab, Nikola Jovanović, Mark Vero, Velko Vechev, Anna-Maria Gueorguieva, Mislav Balunović, Nikola Konstantinov, Pavol Bielik, Petar Tsankov, Martin Vechev

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

IsolateGPT: An Execution Isolation Architecture for LLM-Based Agentic Systems

Yuhao Wu, Franziska Roesner, Tadayoshi Kohno, Ning Zhang, Umar Iqbal

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

Comments Accepted by the Network and Distributed System Security (NDSS) Symposium 2025

Journal ref The Network and Distributed System Security (NDSS) Symposium 2025

CPath-Omni: A Unified Multimodal Foundation Model for Patch and Whole Slide Image Analysis in Computational Pathology

Yuxuan Sun, Yixuan Si, Chenglu Zhu, Xuan Gong, Kai Zhang, Pingyi Chen, Ye Zhang, Zhongyi Shui, Tao Lin, Lin Yang

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

Comments 22 pages, 13 figures

Data-Prep-Kit: getting your data ready for LLM application development

David Wood, Boris Lublinsky, Alexy Roytman, Shivdeep Singh, Constantin Adam, Abdulhamid Adebayo, Sungeun An, Yuan Chi Chang, Xuan-Hong Dang, Nirmit Desai, Michele Dolfi, Hajar Emami-Gohari, Revital Eres, Takuya Goto, Dhiraj Joshi, Yan Koyfman, Mohammad Nassar, Hima Patel, Paramesvaran Selvam, Yousaf Shah, Saptha Surendran, Daiki Tsuzuku, Petros Zerfos, Shahrokh Daijavad

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

Comments 10 pages, 7 figures

Systematically Analyzing Prompt Injection Vulnerabilities in Diverse LLM Architectures

Victoria Benjamin, Emily Braca, Israel Carter, Hafsa Kanchwala, Nava Khojasteh, Charly Landow, Yi Luo, Caroline Ma, Anna Magarelli, Rachel Mirin, Avery Moyer, Kayla Simpson, Amelia Skawinski, Thomas Heverin

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

Bias Amplification in Language Model Evolution: An Iterated Learning Perspective

Yi Ren, Shangmin Guo, Linlu Qiu, Bailin Wang, Danica J. Sutherland

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

How Aligned are Human Chart Takeaways and LLM Predictions? A Case Study on Bar Charts with Varying Layouts

Huichen Will Wang, Jane Hoffswell, Sao Myat Thazin Thane, Victor S. Bursztyn, Cindy Xiong Bearfield

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

Comments IEEE Transactions on Visualization and Computer Graphics (Proc. VIS 2024)

AI-Augmented Predictions: LLM Assistants Improve Human Forecasting Accuracy

Philipp Schoenegger, Peter S. Park, Ezra Karger, Sean Trott, Philip E. Tetlock

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

Comments 22 pages pages (main text comprised of 19 pages, appendix comprised of three pages). 10 visualizations in the main text (four figures, six tables), three additional figures in the appendix