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Do Prompt-Based Models Really Understand the Meaning of their Prompts?

2 September 2021

Papers citing "Do Prompt-Based Models Really Understand the Meaning of their Prompts?"

50 / 277 papers shown

Title
Decomposed Trust: Exploring Privacy, Adversarial Robustness, Fairness, and Ethics of Low-Rank LLMs Daniel Agyei Asante Md Mokarram Chowdhury Yang Li 68 0 0 27 Nov 2025
ELPO: Ensemble Learning Based Prompt Optimization for Large Language Models Qing Zhang Bing Xu X. R. Zhang Yifan Shi Yang Li ... Ngai Wong Yijie Chen Hong Dai X. Chen M. Zhang 92 0 0 20 Nov 2025
Implicature in Interaction: Understanding Implicature Improves Alignment in Human-LLM Interaction Asutosh Hota Jussi P.P. Jokinen 77 0 0 29 Oct 2025
FidelityGPT: Correcting Decompilation Distortions with Retrieval Augmented Generation Zhiping Zhou Xiaohong Li Ruitao Feng Yao Zhang Yuekang Li Wenbu Feng Yunqian Wang Y. Li 97 0 0 22 Oct 2025
Stable LLM Ensemble: Interaction between Example Representativeness and Diversity Junichiro Niimi 124 0 0 15 Oct 2025
To Steer or Not to Steer? Mechanistic Error Reduction with Abstention for Language Models Anna Hedström Salim I. Amoukou Tom Bewley Saumitra Mishra Manuela Veloso LLMSV 184 2 0 15 Oct 2025
Continual Learning for Image Captioning through Improved Image-Text Alignment Bertram Taetz Gal Bordelius CLL VLM 100 1 0 07 Oct 2025
Dynamic Stress Detection: A Study of Temporal Progression Modelling of Stress in Speech Vishakha Lall Yisi Liu 28 0 0 02 Oct 2025
Chronological Thinking in Full-Duplex Spoken Dialogue Language Models Donghang Wu H. Zhang Chen Chen Tianyu Zhang Fei Tian ... Gang Yu Hexin Liu Nana Hou Yuchen Hu Eng Siong Chng AuLLM KELM AI4CE LRM 440 2 0 02 Oct 2025
Learning the Wrong Lessons: Syntactic-Domain Spurious Correlations in Language Models Chantal Shaib Vinith Suriyakumar Levent Sagun Byron C. Wallace Elisa Kreiss LRM 167 1 0 25 Sep 2025
Explaining Fine Tuned LLMs via Counterfactuals A Knowledge Graph Driven Framework Y Samuel Wang Ziyang Chen Md Faisal Kabir OffRL 108 0 0 25 Sep 2025
iFinder: Structured Zero-Shot Vision-Based LLM Grounding for Dash-Cam Video Reasoning Manyi Yao Bingbing Zhuang Sparsh Garg Amit Roy-Chowdhury Christian Shelton Manmohan Chandraker Abhishek Aich LRM 174 1 0 23 Sep 2025
Do Natural Language Descriptions of Model Activations Convey Privileged Information? Millicent Li Alberto Mario Ceballos Arroyo Giordano Rogers Naomi Saphra Byron C. Wallace 148 2 0 16 Sep 2025
Is In-Context Learning Learning? Adrian de Wynter 141 1 0 12 Sep 2025
Compartmentalised Agentic Reasoning for Clinical NLI Mael Jullien Lei Xu Marco Valentino André Freitas LRM 58 0 0 12 Sep 2025
Abduct, Act, Predict: Scaffolding Causal Inference for Automated Failure Attribution in Multi-Agent Systems Alva West Yixuan Weng Minjun Zhu Zhen Lin Yue Zhang Yue Zhang 143 3 0 12 Sep 2025
Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning Kwesi Cobbina Tianyi Zhou 111 2 0 30 Jul 2025
How Chain-of-Thought Works? Tracing Information Flow from Decoding, Projection, and Activation H. Yang Qinghua Zhao Lei Li LRM 117 0 0 28 Jul 2025
Understanding Human Limits in Pattern Recognition: A Computational Model of Sequential Reasoning in Rock, Paper, Scissors Logan Cross Erik Brockbank Tobias Gerstenberg Judith E. Fan Daniel L. K. Yamins Nick Haber 113 0 0 25 Jul 2025
When Does Meaning Backfire? Investigating the Role of AMRs in NLI Junghyun Min Xiulin Yang Shira Wein LLMSV 270 2 0 17 Jun 2025
When Meaning Stays the Same, but Models Drift: Evaluating Quality of Service under Token-Level Behavioral Instability in LLMs Xiao Li Joel Kreuzwieser Alan Peters 131 1 0 11 Jun 2025
What Makes a Good Natural Language Prompt?Annual Meeting of the Association for Computational Linguistics (ACL), 2025 Do Xuan Long Duy Dinh Ngoc-Hai Nguyen Kenji Kawaguchi Nancy F. Chen Shafiq Joty Min-Yen Kan 202 6 0 07 Jun 2025
Large Language Models are Demonstration Pre-Selectors for Themselves Jiarui Jin Yuwei Wu Haoxuan Li Xiaoting He Weinan Zhang Y. Yang Yong Yu Jun Wang Mengyue Yang 263 2 0 06 Jun 2025
Labelling Data with Unknown References Adrian de Wynter 341 0 0 03 Jun 2025
S2LPP: Small-to-Large Prompt Prediction across LLMs Liang Cheng Tianyi Li Zhaowei Wang Mark Steedman LRM 182 1 0 26 May 2025
Optimization-Inspired Few-Shot Adaptation for Large Language Models Boyan Gao Xin Wang Jianlong Wu David A. Clifton 252 0 0 25 May 2025
Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target AtomsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 Mengru Wang Ziwen Xu Shengyu Mao Shumin Deng Zhaopeng Tu Ningyu Zhang Ningyu Zhang LLMSV 431 9 0 23 May 2025
Relation Extraction or Pattern Matching? Unravelling the Generalisation Limits of Language Models for Biographical RE Varvara Arzt Allan Hanbury Michael Wiegand Gábor Recski Terra Blevins 200 1 0 18 May 2025
LAMP: Extracting Locally Linear Decision Surfaces from LLM World Models Ryan Chen Youngmin Ko Zeyu Zhang Catherine Cho Sunny Chung Mauro Giuffré Dennis L. Shung Bradly C. Stadie 369 0 0 17 May 2025
What's the Difference? Supporting Users in Identifying the Effects of Prompt and Model Changes Through Token PatternsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 Michael A. Hedderich Anyi Wang Raoyuan Zhao Florian Eichin Jonas Fischer Barbara Plank 304 3 0 22 Apr 2025
DOVE: A Large-Scale Multi-Dimensional Predictions Dataset Towards Meaningful LLM EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 Eliya Habba Ofir Arviv Itay Itzhak Yotam Perlitz Elron Bandel Leshem Choshen Michal Shmueli-Scheuer Gabriel Stanovsky 331 10 0 03 Mar 2025
ANPMI: Assessing the True Comprehension Capabilities of LLMs for Multiple Choice Questions Gyeongje Cho Yeonkyoung So Jaejin Lee ELM 339 0 0 26 Feb 2025
Better Aligned with Survey Respondents or Training Data? Unveiling Political Leanings of LLMs on U.S. Supreme Court Cases Shanshan Xu T. Y. S. S. Santosh Yanai Elazar Quirin Vogel Barbara Plank Matthias Grabmair AILaw 447 2 0 25 Feb 2025
In-context Learning of Evolving Data Streams with Tabular Foundational Models Afonso Lourenço João Gama Eric P. Xing Goreti Marreiros 399 0 0 24 Feb 2025
Vector-ICL: In-context Learning with Continuous Vector RepresentationsInternational Conference on Learning Representations (ICLR), 2024 Yufan Zhuang Chandan Singh Liyuan Liu Jingbo Shang Jianfeng Gao 416 10 0 21 Feb 2025
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and EthicsInformation Fusion (Inf. Fusion), 2023 Kai He Rui Mao Qika Lin Yucheng Ruan Xiang Lan Mengling Feng Xiaoshi Zhong LM&MA AILaw 650 259 0 28 Jan 2025
Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checkingInternational Conference on Computational Linguistics (COLING), 2025 Dina Pisarevskaya Arkaitz Zubiaga 287 9 0 18 Jan 2025
Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation H. Yang Qianghua Zhao Lei Li AI4CE LRM 201 4 0 05 Dec 2024
Enhancing Clinical Trial Patient Matching through Knowledge Augmentation with Multi-Agents Hanwen Shi Jin Zhang Kunpeng Zhang 229 0 0 22 Nov 2024
Belief in the Machine: Investigating Epistemological Blind Spots of Language Models Mirac Suzgun Tayfun Gur Federico Bianchi Daniel E. Ho Thomas Icard Dan Jurafsky James Zou 346 7 0 28 Oct 2024
Reasoning or a Semblance of it? A Diagnostic Study of Transitive Reasoning in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 Houman Mehrafarin Arash Eshghi Ioannis Konstas LRM 138 1 0 26 Oct 2024
Causality for Large Language Models Anpeng Wu Kun Kuang Minqin Zhu Yingrong Wang Yujia Zheng Kairong Han Yangqiu Song Guangyi Chen Leilei Gan Kun Zhang LRM 300 17 0 20 Oct 2024
Are LLMs Models of Distributional Semantics? A Case Study on Quantifiers Zhang Enyan Zewei Wang Michael A. Lepori Ellie Pavlick Helena Aparicio 304 3 0 17 Oct 2024
Eliciting Textual Descriptions from Representations of Continuous Prompts Dana Ramati Daniela Gottesman Mor Geva 206 2 0 15 Oct 2024
One Step at a Time: Combining LLMs and Static Analysis to Generate Next-Step Hints for Programming TasksEuropean Conference on Modelling and Simulation (ECMS), 2024 Anastasiia Birillo Elizaveta Artser Anna Potriasaeva Ilya Vlasov Katsiaryna Dzialets Yaroslav Golubev Igor Gerasimov Hieke Keuning T. Bryksin 160 13 0 11 Oct 2024
Investigating Human-Computer Interaction and Visual Comprehension in Text Generation Process of Natural Language Generation Models Yunchao Wang Zihang Fu Chaoqing Xu Guodao Sun Ronghua Liang 125 0 0 11 Oct 2024
Towards a Benchmark for Large Language Models for Business Process Management TasksProceedings of the Annual Hawaii International Conference on System Sciences (HICSS), 2024 Kiran Busch Henrik Leopold 208 4 0 04 Oct 2024
HUT: A More Computation Efficient Fine-Tuning Method With Hadamard Updated Transformation Geyuan Zhang Xiaofei Zhou Chuheng Chen 118 0 0 20 Sep 2024
The representation landscape of few-shot learning and fine-tuning in large language modelsNeural Information Processing Systems (NeurIPS), 2024 Diego Doimo Alessandro Serra A. Ansuini Alberto Cazzaniga 309 12 0 05 Sep 2024
Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMsAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 Zhuo Li Yuhao Du Jinpeng Hu Xiang Wan Anningzhe Gao 157 6 0 03 Sep 2024