MoDS: Model-oriented Data Selection for Instruction Tuning

27 November 2023

Papers citing "MoDS: Model-oriented Data Selection for Instruction Tuning"

20 / 20 papers shown

Title
Select2Reason: Efficient Instruction-Tuning Data Selection for Long-CoT Reasoning Cehao Yang Xueyuan Lin Chengjin Xu Xuhui Jiang Xiaojun Wu Honghao Liu Hui Xiong Jian Guo LRM 91 0 0 22 May 2025
PlanGPT-VL: Enhancing Urban Planning with Domain-Specific Vision-Language Models He Zhu Junyou Su Minxin Chen Wen Wang Yijie Deng Guanhua Chen Wenjia Zhang 193 0 0 20 May 2025
D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning Jia Zhang Chen-Xi Zhang Yang Liu Yi-Xuan Jin Xiao-Wen Yang Bo Zheng Yi Liu Lan-Zhe Guo 134 3 0 14 Mar 2025
The Best Instruction-Tuning Data are Those That Fit Dylan Zhang Qirun Dai Hao Peng ALM 209 7 0 06 Feb 2025
DELIFT: Data Efficient Language model Instruction Fine Tuning Ishika Agarwal Krishnateja Killamsetty Lucian Popa Marina Danilevksy ALM VLM 119 4 0 07 Nov 2024
MDCure: A Scalable Pipeline for Multi-Document Instruction-Following Gabrielle Kaili-May Liu Bowen Shi Avi Caciularu Idan Szpektor Arman Cohan 147 4 0 30 Oct 2024
Data Quality Control in Federated Instruction-tuning of Large Language Models Yaxin Du Guangyi Liu Fengting Yuchi W. Zhao Jingjing Qu Yanjie Wang Siheng Chen ALM FedML 125 2 0 15 Oct 2024
Data Selection via Optimal Control for Language Models Yuxian Gu Li Dong Hongning Wang Y. Hao Qingxiu Dong Furu Wei Minlie Huang AI4CE 147 8 0 09 Oct 2024
What is the Role of Small Models in the LLM Era: A Survey Lihu Chen Gaël Varoquaux ALM 211 32 0 10 Sep 2024
Take the essence and discard the dross: A Rethinking on Data Selection for Fine-Tuning Large Language Models Ziche Liu Rui Ke Feng Jiang Feng Jiang Haizhou Li 119 2 0 20 Jun 2024
On the Exploitability of Instruction Tuning Manli Shu Jiong Wang Chen Zhu Jonas Geiping Chaowei Xiao Tom Goldstein SILM 110 98 0 28 Jun 2023
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias Yue Yu Yuchen Zhuang Jieyu Zhang Yu Meng Alexander Ratner Ranjay Krishna Jiaming Shen Chao Zhang ALM 100 234 0 28 Jun 2023
Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision Zhiqing Sun Songlin Yang Qinhong Zhou Hongxin Zhang Zhenfang Chen David D. Cox Yiming Yang Chuang Gan SyDa ALM 102 337 0 04 May 2023
Koala: An Index for Quantifying Overlaps with Pre-training Corpora Thuy-Trang Vu Xuanli He Gholamreza Haffari Ehsan Shareghi CLL 55 15 0 26 Mar 2023
OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization Srinivasan Iyer Xi Lin Ramakanth Pasunuru Todor Mihaylov Daniel Simig ... Jeff Wang Christopher Dewan Asli Celikyilmaz Luke Zettlemoyer Veselin Stoyanov ALM 146 267 0 22 Dec 2022
Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor Or Honovich Thomas Scialom Omer Levy Timo Schick ALM 129 374 0 19 Dec 2022
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks Yizhong Wang Swaroop Mishra Pegah Alipoormolabashi Yeganeh Kordi Amirreza Mirzaei ... Chitta Baral Yejin Choi Noah A. Smith Hannaneh Hajishirzi Daniel Khashabi ELM 123 859 0 16 Apr 2022
PaLM: Scaling Language Modeling with Pathways Aakanksha Chowdhery Sharan Narang Jacob Devlin Maarten Bosma Gaurav Mishra ... Kathy Meier-Hellstern Douglas Eck J. Dean Slav Petrov Noah Fiedel PILM LRM 533 6,301 0 05 Apr 2022
Finetuned Language Models Are Zero-Shot Learners Jason W. Wei Maarten Bosma Vincent Zhao Kelvin Guu Adams Wei Yu Brian Lester Nan Du Andrew M. Dai Quoc V. Le ALM UQCV 251 3,789 0 03 Sep 2021
DeBERTa: Decoding-enhanced BERT with Disentangled Attention Pengcheng He Xiaodong Liu Jianfeng Gao Weizhu Chen AAML 169 2,754 0 05 Jun 2020