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Publication search results
found 112 matches
- 2024
- David A. Caswell:
Audiences, automation, and AI: From structured news to language models. AI Mag. 45(2): 174-186 (2024) - Marco Bronzini, Carlo Nicolini, Bruno Lepri, Andrea Passerini, Jacopo Staiano:
Glitter or gold? Deriving structured insights from sustainability reports via large language models. EPJ Data Sci. 13(1): 41 (2024) - Tong Xie, Yuwei Wan, Yufei Zhou, Wei Huang, Yixuan Liu, Qingyuan Linghu, Shaozhou Wang, Chunyu Kit, Clara Grazian, Wenjie Zhang, Bram Hoex:
Creation of a structured solar cell material dataset and performance prediction using large language models. Patterns 5(5): 100955 (2024) - Yongqi An, Xu Zhao, Tao Yu, Ming Tang, Jinqiao Wang:
Fluctuation-Based Adaptive Structured Pruning for Large Language Models. AAAI 2024: 10865-10873 - Michael Xieyang Liu, Frederick Liu, Alexander J. Fiannaca, Terry Koo, Lucas Dixon, Michael Terry, Carrie J. Cai:
"We Need Structured Output": Towards User-centered Constraints on Large Language Model Output. CHI Extended Abstracts 2024: 10:1-10:9 - Dawid Adam Plaskowski, Szymon Skwarek, Dominika Grajewska, Maciej Niemir, Agnieszka Lawrynowicz:
Automating Opinion Extraction from Semi-Structured Webpages: Leveraging Language Models and Instruction Finetuning on Synthetic Data. ICAART (3) 2024: 681-688 - Xiangru Tang, Yiming Zong, Jason Phang, Yilun Zhao, Wangchunshu Zhou, Arman Cohan, Mark Gerstein:
Struc-Bench: Are Large Language Models Good at Generating Complex Structured Tabular Data? NAACL (Short Papers) 2024: 12-34 - Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang:
Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study. WSDM 2024: 645-654 - Mayank Agarwal, Yikang Shen, Bailin Wang, Yoon Kim, Jie Chen:
Structured Code Representations Enable Data-Efficient Adaptation of Code Language Models. CoRR abs/2401.10716 (2024) - Yinghao Zhu, Zixiang Wang, Junyi Gao, Yuning Tong, Jingkun An, Weibin Liao, Ewen M. Harrison, Liantao Ma, Chengwei Pan:
Prompting Large Language Models for Zero-Shot Clinical Prediction with Structured Longitudinal Electronic Health Record Data. CoRR abs/2402.01713 (2024) - Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, Bhaskar Mitra:
Structured Entity Extraction Using Large Language Models. CoRR abs/2402.04437 (2024) - Haizhong Zheng, Xiaoyan Bai, Beidi Chen, Fan Lai, Atul Prakash:
Learn To be Efficient: Build Structured Sparsity in Large Language Models. CoRR abs/2402.06126 (2024) - Yinghao Li, Rampi Ramprasad, Chao Zhang:
A Simple but Effective Approach to Improve Structured Language Model Output for Information Extraction. CoRR abs/2402.13364 (2024) - Younghun Lee, Sungchul Kim, Tong Yu, Ryan A. Rossi, Xiang Chen:
Learning to Reduce: Optimal Representations of Structured Data in Prompting Large Language Models. CoRR abs/2402.14195 (2024) - Ziyi Chen, Mengyuan Zhang, Mustafa Mohammed Ahmed, Yi Guo, Thomas J. George, Jiang Bian, Yonghui Wu:
Narrative Feature or Structured Feature? A Study of Large Language Models to Identify Cancer Patients at Risk of Heart Failure. CoRR abs/2403.11425 (2024) - Armen Avetisyan, Christopher Xie, Henry Howard-Jenkins, Tsun-Yi Yang, Samir Aroudj, Suvam Patra, Fuyang Zhang, Duncan Frost, Luke Holland, Campbell Orme, Jakob Engel, Edward Miller, Richard A. Newcombe, Vasileios Balntas:
SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Model. CoRR abs/2403.13064 (2024) - Sowmya S. Sundaram, Benjamin Solomon, Avani Khatri, Anisha Laumas, Purvesh Khatri, Mark A. Musen:
Use of a Structured Knowledge Base Enhances Metadata Curation by Large Language Models. CoRR abs/2404.05893 (2024) - Michael Xieyang Liu, Frederick Liu, Alexander J. Fiannaca, Terry Koo, Lucas Dixon, Michael Terry, Carrie J. Cai:
"We Need Structured Output": Towards User-centered Constraints on Large Language Model Output. CoRR abs/2404.07362 (2024) - Shaz Furniturewala, Surgan Jandial, Abhinav Java, Pragyan Banerjee, Simra Shahid, Sumit Bhatia, Kokil Jaidka:
Thinking Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models. CoRR abs/2405.10431 (2024) - Chengwei Wei, Kee Kiat Koo, Amir Tavanaei, Karim Bouyarmane:
Confidence-Aware Sub-Structure Beam Search (CABS): Mitigating Hallucination in Structured Data Generation with Large Language Models. CoRR abs/2406.00069 (2024) - Tarun Khajuria, Braian Olmiro Dias, Jaan Aru:
How structured are the representations in transformer-based vision encoders? An analysis of multi-object representations in vision-language models. CoRR abs/2406.09067 (2024) - Anjanava Biswas, Wrick Talukdar:
Robustness of Structured Data Extraction from In-plane Rotated Documents using Multi-Modal Large Language Models (LLM). CoRR abs/2406.10295 (2024) - Daniel Reichenpfader, Jonas Knupp, André Sander, Kerstin Denecke:
RadEx: A Framework for Structured Information Extraction from Radiology Reports based on Large Language Models. CoRR abs/2406.15465 (2024) - Younghun Lee, Sungchul Kim, Ryan A. Rossi, Tong Yu, Xiang Chen:
Learning to Reduce: Towards Improving Performance of Large Language Models on Structured Data. CoRR abs/2407.02750 (2024) - Xiaoyu Tan, Haoyu Wang, Xihe Qiu, Yuan Cheng, Yinghui Xu, Wei Chu, Yuan Qi:
Struct-X: Enhancing Large Language Models Reasoning with Structured Data. CoRR abs/2407.12522 (2024) - Chara Tsoukala, Georgios Paraskevopoulos, Athanasios Katsamanis:
Revolutionising Theatre Archives: Using Large Language Models to Interact with Structured Archival Content. ERCIM News 2024(136) (2024) - 2023
- Liam Magee, Vanicka Arora, Luke Munn:
Structured like a language model: Analysing AI as an automated subject. Big Data Soc. 10(2) (2023) - Christopher J. Lynch, Erik J. Jensen, Virginia Zamponi, Kevin O'Brien, Erika Frydenlund, Ross Gore:
A Structured Narrative Prompt for Prompting Narratives from Large Language Models: Sentiment Assessment of ChatGPT-Generated Narratives and Real Tweets. Future Internet 15(12): 375 (2023) - Andreas Dengel, Rupert Gehrlein, David Fernes, Sebastian Görlich, Jonas Maurer, Hai Hoang Pham, Gabriel Großmann, Niklas Dietrich genannt Eisermann:
Qualitative Research Methods for Large Language Models: Conducting Semi-Structured Interviews with ChatGPT and BARD on Computer Science Education. Informatics 10(4): 78 (2023) - Simran Arora, Brandon Yang, Sabri Eyuboglu, Avanika Narayan, Andrew Hojel, Immanuel Trummer, Christopher Ré:
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes. Proc. VLDB Endow. 17(2): 92-105 (2023)
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