Title
All You Need is One: Capsule Prompt Tuning with a Single Vector Yiyang Liu James Chenhao Liang Heng Fan Wenhao Yang Yiming Cui Xiaotian Han Lifu Huang Dongfang Liu Qifan Wang Cheng Han VLM 97 1 0 19 Oct 2025
PATFinger: Prompt-Adapted Transferable Fingerprinting against Unauthorized Multimodal Dataset UsageAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025 Weinan Zhang Ju Jia Yang Liu Yihao Huang Xuzhao Li Cong Wu Lina Wang AAML 232 1 0 15 Apr 2025
Steered Generation via Gradient Descent on Sparse Features Sumanta Bhattacharyya Pedram Rooshenas LLMSV 240 0 0 25 Feb 2025
Concept Based Continuous Prompts for Interpretable Text Classification Qian Chen Dongyang Li Xiaofeng He 252 0 0 02 Dec 2024
One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Pengfei Cao Yuheng Chen Zhuoran Jin Yubo Chen Kang Liu Jun Zhao KELM 251 1 0 26 Nov 2024
Eliciting Textual Descriptions from Representations of Continuous Prompts Dana Ramati Daniela Gottesman Mor Geva 198 2 0 15 Oct 2024
Can Language Model Understand Word Semantics as A Chatbot? An Empirical Study of Language Model Internal External Mismatch Jinman Zhao Xueyan Zhang Xingyu Yue Weizhe Chen Zifan Qian Ruiyu Wang LRM 226 0 0 21 Sep 2024
Prompt Obfuscation for Large Language Models David Pape Sina Mavali Thorsten Eisenhofer Lea Schonherr AAML 475 6 0 17 Sep 2024
Prompt Your Brain: Scaffold Prompt Tuning for Efficient Adaptation of fMRI Pre-trained ModelInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024 Zijian Dong Yilei Wu Zijiao Chen Yichi Zhang Yueming Jin Juan Helen Zhou 161 4 0 20 Aug 2024
No Such Thing as a General Learner: Language models and their dual optimization Emmanuel Chemla R. Nefdt 174 1 0 18 Aug 2024
Large Language Models Prompting With Episodic MemoryEuropean Conference on Artificial Intelligence (ECAI), 2024 Dai Do Quan Tran Svetha Venkatesh Hung Le LLMAG 167 5 0 14 Aug 2024
Improving Minimum Bayes Risk Decoding with Multi-Prompt David Heineman Yao Dou Wei Xu 230 11 0 22 Jul 2024
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL Yunseon Choi Sangmin Bae Seonghyun Ban Minchan Jeong Wei Shen Lei Song Wei Xiong Jiang Bian Kee-Eung Kim VLM AAML 150 4 0 20 Jul 2024
LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models Shouchang Guo Sonam Damani Keng-hao Chang VLM 100 3 0 27 Jun 2024
Yo'LLaVA: Your Personalized Language and Vision Assistant Thao Nguyen Haotian Liu Yuheng Li Mu Cai Utkarsh Ojha Yong Jae Lee VLM MLLM 216 38 0 13 Jun 2024
Understanding Visual Concepts Across Models Brandon Trabucco Max Gurinas Kyle Doherty Ruslan Salakhutdinov VLM 120 0 0 11 Jun 2024
Deconstructing In-Context Learning: Understanding Prompts via CorruptionInternational Conference on Language Resources and Evaluation (LREC), 2024 Namrata Shivagunde Vladislav Lialin Sherin Muckatira Anna Rumshisky 272 8 0 02 Apr 2024
Genetic Auto-prompt Learning for Pre-trained Code Intelligence Language Models Chengzhe Feng Yanan Sun Ke Li Pan Zhou Jiancheng Lv Aojun Lu 237 3 0 20 Mar 2024
Beyond prompt brittleness: Evaluating the reliability and consistency of political worldviews in LLMs Tanise Ceron Neele Falk Ana Barić Dmitry Nikolaev Sebastian Padó 211 33 0 27 Feb 2024
Continuous Prompt Generation from Linear Combination of Discrete Prompt Embeddings Pascal Passigan Kidus Yohannes Joshua Pereira 92 2 0 16 Dec 2023
MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction-FollowingInternational Conference on Learning Representations (ICLR), 2023 Renze Lou Kai Zhang Jian Xie Yuxuan Sun Janice Ahn Hanzi Xu Yu Su Wenpeng Yin 231 36 0 05 Dec 2023
Data Management For Large Language Models: A Survey Zige Wang Wanjun Zhong Yufei Wang Qi Zhu Fei Mi Baojun Wang Lifeng Shang Xin Jiang Qun Liu LM&MA 170 17 0 04 Dec 2023
Tunable Soft Prompts are Messengers in Federated LearningConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Chenhe Dong Yuexiang Xie Bolin Ding Ying Shen Yaliang Li FedML 167 9 0 12 Nov 2023
Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs through a Global Scale Prompt Hacking Competition Sander Schulhoff Jeremy Pinto Anaum Khan Louis-Franccois Bouchard Chenglei Si Svetlina Anati Valen Tagliabue Anson Liu Kost Christopher Carnahan Jordan L. Boyd-Graber SILM 296 60 0 24 Oct 2023
Unnatural language processing: How do language models handle machine-generated prompts?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Corentin Kervadec Francesca Franzon Marco Baroni 206 7 0 24 Oct 2023
Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning Lucas Weber Elia Bruni Dieuwke Hupkes 228 34 0 20 Oct 2023
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formattingInternational Conference on Learning Representations (ICLR), 2023 Melanie Sclar Yejin Choi Yulia Tsvetkov Alane Suhr 261 524 0 17 Oct 2023
Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language ModelsInternational Conference on Learning Representations (ICLR), 2023 Archiki Prasad Elias Stengel-Eskin Mohit Bansal ReLM LRM 200 13 0 09 Oct 2023
Guiding Language Model Math Reasoning with Planning Tokens Xinyi Wang Lucas Caccia O. Ostapenko Xingdi Yuan William Yang Wang Alessandro Sordoni LRM 238 2 0 09 Oct 2023
Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language ModelsInternational Conference on Learning Representations (ICLR), 2023 Zijun Wu Yongkang Wu Lili Mou VLM 177 8 0 02 Oct 2023
EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers Qingyan Guo Rui Wang Junliang Guo Bei Li Kaitao Song Xu Tan Guoqing Liu Jiang Bian Yiran Yang 393 116 0 15 Sep 2023
Text Descriptions are Compressive and Invariant Representations for Visual Learning Zhili Feng Anna Bair J. Zico Kolter VLM 151 7 0 10 Jul 2023
TrojLLM: A Black-box Trojan Prompt Attack on Large Language ModelsNeural Information Processing Systems (NeurIPS), 2023 Jiaqi Xue Mengxin Zheng Ting Hua Yilin Shen Ye Liu Ladislau Bölöni Qian Lou 353 44 0 12 Jun 2023
Preference-grounded Token-level Guidance for Language Model Fine-tuningNeural Information Processing Systems (NeurIPS), 2023 Shentao Yang Shujian Zhang Congying Xia Yihao Feng Caiming Xiong Mi Zhou 405 31 0 01 Jun 2023
Towards Legally Enforceable Hate Speech Detection for Public ForumsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Chunyan Luo R. Bhambhoria Xiao-Dan Zhu Samuel Dahan AILaw 206 9 0 23 May 2023
Prompting is not a substitute for probability measurements in large language modelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Jennifer Hu R. Levy 267 54 0 22 May 2023
SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Elizabeth Clark Shruti Rijhwani Sebastian Gehrmann Joshua Maynez Roee Aharoni Vitaly Nikolaev Thibault Sellam Aditya Siddhant Dipanjan Das Ankur P. Parikh 218 48 0 22 May 2023
Solving NLP Problems through Human-System Collaboration: A Discussion-based ApproachFindings (Findings), 2023 Masahiro Kaneko Graham Neubig Naoaki Okazaki 274 7 0 19 May 2023
Flatness-Aware Prompt Selection Improves Accuracy and Sample EfficiencyConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Lingfeng Shen Weiting Tan Boyuan Zheng Daniel Khashabi VLM 265 6 0 18 May 2023
"What It Wants Me To Say": Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language ModelsInternational Conference on Human Factors in Computing Systems (CHI), 2023 Michael Xieyang Liu Advait Sarkar Carina Negreanu B. Zorn Jack Williams N. Toronto Andrew D. Gordon 220 130 0 13 Apr 2023
Large Language Model Instruction Following: A Survey of Progresses and ChallengesComputational Linguistics (CL), 2023 Renze Lou Kai Zhang Wenpeng Yin ALM LRM 675 38 0 18 Mar 2023
Can discrete information extraction prompts generalize across language models?International Conference on Learning Representations (ICLR), 2023 Nathanaël Carraz Rakotonirina Roberto Dessì Fabio Petroni Sebastian Riedel Marco Baroni 152 8 0 20 Feb 2023
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and DiscoveryNeural Information Processing Systems (NeurIPS), 2023 Yuxin Wen Neel Jain John Kirchenbauer Micah Goldblum Jonas Geiping Tom Goldstein VLM DiffM 261 350 1 07 Feb 2023
Are Language Models Worse than Humans at Following Prompts? It's ComplicatedConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Albert Webson A. Loo Qinan Yu Ellie Pavlick LRM 230 18 0 17 Jan 2023
Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image GeneratorsInternational Conference on Machine Learning (ICML), 2022 Jianhao Yuan Francesco Pinto Adam Davies Juil Sock DiffM 300 17 0 21 Dec 2022
Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Weijia Shi Xiaochuang Han Hila Gonen Ari Holtzman Yulia Tsvetkov Luke Zettlemoyer 169 56 0 20 Dec 2022
Demystifying Prompts in Language Models via Perplexity EstimationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Hila Gonen Srini Iyer Terra Blevins Noah A. Smith Luke Zettlemoyer LRM 329 269 0 08 Dec 2022
TCBERT: A Technical Report for Chinese Topic Classification BERT Ting Han Kunhao Pan Xinyu Chen Dingjie Song Yuchen Fan Xinyu Gao Ruyi Gan Jiaxing Zhang VLM 105 1 0 21 Nov 2022
Prompt Tuning with Soft Context Sharing for Vision-Language ModelsNeurocomputing (Neurocomputing), 2022 Kun Ding Ying Wang Pengzhang Liu Qiang Yu Hao Zhang Shiming Xiang Chunhong Pan VPVLM VLM 227 19 0 29 Aug 2022
Reducing Retraining by Recycling Parameter-Efficient Prompts Brian Lester Joshua Yurtsever Siamak Shakeri Noah Constant 168 13 0 10 Aug 2022