语言大模型 / LLM

PaRaDe: Passage Ranking using Demonstrations with Large Language Models

Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Rahimi, Xuanhui Wang, Dana Alon, Mohit Iyyer, Andrew McCallum, Donald Metzler, Kai Hui

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

Comments Findings of EMNLP 2023

Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting

Chenkai Sun, Jinning Li, Yi R. Fung, Hou Pong Chan, Tarek Abdelzaher, ChengXiang Zhai, Heng Ji

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

Comments Accepted at EMNLP 2023 Main Conference

Adversarial Demonstration Attacks on Large Language Models

Jiongxiao Wang, Zichen Liu, Keun Hee Park, Zhuojun Jiang, Zhaoheng Zheng, Zhuofeng Wu, Muhao Chen, Chaowei Xiao

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

Automatic Generation of Test Cases based on Bug Reports: a Feasibility Study with Large Language Models

Laura Plein, Wendkûuni C. Ouédraogo, Jacques Klein, Tegawendé F. Bissyandé

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

Thinking Fast and Slow in Large Language Models

Thilo Hagendorff, Sarah Fabi, Michal Kosinski

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

Jailbreaker in Jail: Moving Target Defense for Large Language Models

Bocheng Chen, Advait Paliwal, Qiben Yan

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

Comments MTD Workshop in CCS'23

MaaSDB: Spatial Databases in the Era of Large Language Models (Vision Paper)

Jianzhong Qi, Zuqing Li, Egemen Tanin

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

Comments Accepted to appear in ACM SIGSPATIAL 2023

Toward Reproducing Network Research Results Using Large Language Models

Qiao Xiang, Yuling Lin, Mingjun Fang, Bang Huang, Siyong Huang, Ridi Wen, Franck Le, Linghe Kong, Jiwu Shu

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

Understanding the Benefits and Challenges of Using Large Language Model-based Conversational Agents for Mental Well-being Support

Zilin Ma, Yiyang Mei, Zhaoyuan Su

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

Challenges and Applications of Large Language Models

Jean Kaddour, Joshua Harris, Maximilian Mozes, Herbie Bradley, Roberta Raileanu, Robert McHardy

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

Comments 72 pages. v01. Work in progress. Feedback and comments are highly appreciated!

Conformer LLMs -- Convolution Augmented Large Language Models

Prateek Verma

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

Comments 6 pages, 1 figure

h2oGPT: Democratizing Large Language Models

Arno Candel, Jon McKinney, Philipp Singer, Pascal Pfeiffer, Maximilian Jeblick, Prithvi Prabhu, Jeff Gambera, Mark Landry, Shivam Bansal, Ryan Chesler, Chun Ming Lee, Marcos V. Conde, Pasha Stetsenko, Olivier Grellier, SriSatish Ambati

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

Comments Work in progress by H2O.ai, Inc

Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning

Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Ge Li, Zhi Jin, Xiaoguang Mao, Xiangke Liao

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

Comments Accepted by the 46th International Conference on Software Engineering (ICSE 2024)

ChatGPT is fun, but it is not funny! Humor is still challenging Large Language Models

Sophie Jentzsch, Kristian Kersting

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

Voluminous yet Vacuous? Semantic Capital in an Age of Large Language Models

Luca Nannini

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

How Good are Commercial Large Language Models on African Languages?

Jessica Ojo, Kelechi Ogueji

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

Comments Presented at the AfricanNLP Workshop at ICLR 2023

The Role of Large Language Models in the Recognition of Territorial Sovereignty: An Analysis of the Construction of Legitimacy

Francisco Castillo-Eslava, Carlos Mougan, Alejandro Romero-Reche, Steffen Staab

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

Comments European Workshop of Algorithmic Fairness'23

LP-SLAM: Language-Perceptive RGB-D SLAM system based on Large Language Model

Weiyi Zhang, Yushi Guo, Liting Niu, Peijun Li, Chun Zhang, Zeyu Wan, Jiaxiang Yan, Fasih Ud Din Farrukh, Debing Zhang

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

Comments 12 pages, 16 figures

Large Language Models and the Reverse Turing Test

Terrence Sejnowski

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

Comments Are LLMs stochastic parrots?

Journal ref Neural Computation, 35, 309-342 (2023)

It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners

Timo Schick, Hinrich Schütze

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

Comments Accepted at NAACL2021

Convergence of Outputs When Two Large Language Models Interact in a Multi-Agentic Setup

当两个大语言模型在多智能体设置中交互时输出的收敛性

Aniruddha Maiti, Satya Nimmagadda, Kartha Veerya Jammuladinne, Niladri Sengupta, Ananya Jana

机构 * West Virginia State University（西弗吉尼亚州立大学） ； Marshall University（马歇尔大学） ； Fractal Analytics Inc.（Fractal Analytics公司） 纠错

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

AI总结 研究了两个大语言模型在多智能体环境中交互时输出的收敛现象，发现对话初期连贯但后期趋于重复，导致相似输出循环。

Comments accepted to LLM 2025

What is an "Abstract Reasoner"? Revisiting Experiments and Arguments about Large Language Models

Tian Yun, Chen Sun, Ellie Pavlick

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

Comments CONLL 2025. Project webpage: https://abstract-reasoner-llm.github.io/

Ethical Artificial Intelligence Principles and Guidelines for the Governance and Utilization of Highly Advanced Large Language Models

Soaad Hossain, Syed Ishtiaque Ahmed

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

Comments 5 pages, accepted to workshop on Responsible Language Models (ReLM) at Association of the Advancement of Artificial Intelligence Conference (AAAI 2024)

Massive Activations in Large Language Models

Mingjie Sun, Xinlei Chen, J. Zico Kolter, Zhuang Liu

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

Comments First Conference on Language Modeling (COLM), 2024. Website at https://eric-mingjie.github.io/massive-activations/index.html

Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Mirac Suzgun, Adam Tauman Kalai

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

Comments https://github.com/suzgunmirac/meta-prompting

AdaBoosting Text Prompts for Vision-Language Models

AdaBoosting 文本提示用于视觉-语言模型

Seokhee Jin, Changhwan Sung, Sunung Mun, Hoyoung Kim, Jungseul Ok

机构 * KT Corporation（KT公司） ； Pohang University of Science and Technology (POSTECH)（浦项科技大学） ； National AI Research Lab（国家人工智能研究实验室） 纠错

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

AI总结 提出文本提示提升（TPB）框架，通过AdaBoost策略将每个文本提示分类器视为弱学习器，顺序集成以聚焦难分类样本，提升少样本分类精度并实现跨模型迁移。

Comments Accepted to ECCV 2026 Spotlight

Should We Type or Talk to LLM Agents? A Comprehensive Study of Voice and Keyboard Input Perturbations

我们应该向大语言模型智能体打字还是说话？语音与键盘输入扰动的综合研究

Zizhao Hu, Nathan Elijah Segura, Mohammad Rostami, Jesse Thomason

专题命中 其他LLM ：LLM(title,summary_cn)；language model(abstract)；分类 cs.AI

AI总结 本文通过提出HIVE工具集，研究语音与键盘输入扰动对LLM智能体性能的影响，发现语音转录扰动损害更大、两种扰动影响源于标记留存数量等七项结论。

Progressive in Principle, Centrist in Practice: LLM Political Bias Is Instrument-Dependent

无形的联盟伙伴：当民主变得具体时，LLM如何投票

Joel P. Barmettler

机构 * Independent Researcher（独立研究员） ； Zurich Switzerland（苏黎世瑞士） 纠错

专题命中 其他LLM ：LLM(title,title_cn)；分类 cs.CL

AI总结 通过对比抽象问卷和瑞士实际公投，发现LLM在具体政策决策中表现为中间派、偏向现状且跨语言不一致，而非先前认为的左倾偏见。

Comments 13 pages, 9 figures, 3 tables. Code and data: https://github.com/joelbarmettlerUZH/invisible-coalition-partner

Language as a Material Interface for Creative LLM Interaction

语言作为创造性大语言模型交互的物质界面

Jon McCormack, Tace McNamara, Chen Wang, Maria Teresa Llano

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

AI总结 研究探讨创造性从业者如何将语言当作物质与人工智能合作，通过对四位从业者进行两周生态研究，借助“模因混合器”分析后访谈和设备日志，确定物质语言使用模式和时间维度，为创造性实践中与人工智能的开放式交互提供设计考量。

Comments Paper accepted at Creativity and Cognition '26, London 13-16 July 2026

Empirical Computation: Prompting versus Programming

经验计算：提示与编程

Eric Tang, Jing Liu, Marcel Böhme

机构 * CMU（卡内基梅隆大学） ； MPI-SP（马克斯·普朗克研究所） 纠错

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

AI总结 探讨经验计算（用提示让大语言模型解决问题而非编程）的挑战与机遇，呼吁软件工程界分析其特性，如正确性、属性及极限等，以将经验计算确立为软件工程领域。

Comments Accepted at ACM/IEEE ASE'26 (New Ideas and Emerging Results; NIER), 5 pages