Efficient Data Selection at Scale via Influence Distillation

25 May 2025

Papers citing "Efficient Data Selection at Scale via Influence Distillation"

25 / 25 papers shown

Title
Large-Scale Data Selection for Instruction Tuning Hamish Ivison Muru Zhang Faeze Brahman Pang Wei Koh Pradeep Dasigi ALM 110 5 0 03 Mar 2025
Compute-Constrained Data Selection Junjie Oscar Yin Alexander M. Rush 141 1 0 21 Oct 2024
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models Chankyu Lee Rajarshi Roy Mengyao Xu Jonathan Raiman Mohammad Shoeybi Bryan Catanzaro Ming-Yu Liu RALM 270 204 0 27 May 2024
SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models Yu Yang Siddhartha Mishra Jeffrey N Chiang Baharan Mirzasoleiman 80 23 0 12 Mar 2024
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection Jiawei Zhao Zhenyu Zhang Beidi Chen Zhangyang Wang A. Anandkumar Yuandong Tian 99 224 0 06 Mar 2024
Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond Kyriakos Axiotis Vincent Cohen-Addad Monika Henzinger Sammy Jerome Vahab Mirrokni David Saulpic David P. Woodruff Michael Wunder 71 8 0 27 Feb 2024
D4: Improving LLM Pretraining via Document De-Duplication and Diversification Kushal Tirumala Daniel Simig Armen Aghajanyan Ari S. Morcos SyDa 54 113 0 23 Aug 2023
Scaling Instruction-Finetuned Language Models Hyung Won Chung Le Hou Shayne Longpre Barret Zoph Yi Tay ... Jacob Devlin Adam Roberts Denny Zhou Quoc V. Le Jason W. Wei ReLM LRM 218 3,158 0 20 Oct 2022
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them Mirac Suzgun Nathan Scales Nathanael Scharli Sebastian Gehrmann Yi Tay ... Aakanksha Chowdhery Quoc V. Le Ed H. Chi Denny Zhou Jason W. Wei ALM ELM LRM ReLM 268 1,139 0 17 Oct 2022
CrAM: A Compression-Aware Minimizer Alexandra Peste Adrian Vladu Eldar Kurtic Christoph H. Lampert Dan Alistarh 56 11 0 28 Jul 2022
Beyond neural scaling laws: beating power law scaling via data pruning Ben Sorscher Robert Geirhos Shashank Shekhar Surya Ganguli Ari S. Morcos 97 444 0 29 Jun 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 529 6,293 0 05 Apr 2022
Large Dual Encoders Are Generalizable Retrievers Jianmo Ni Chen Qu Jing Lu Zhuyun Dai Gustavo Hernández Ábrego ... Vincent Zhao Yi Luan Keith B. Hall Ming-Wei Chang Yinfei Yang DML 167 461 0 15 Dec 2021
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts Nan Du Yanping Huang Andrew M. Dai Simon Tong Dmitry Lepikhin ... Kun Zhang Quoc V. Le Yonghui Wu Zhiwen Chen Claire Cui ALM MoE 231 826 0 13 Dec 2021
Training Verifiers to Solve Math Word Problems K. Cobbe V. Kosaraju Mohammad Bavarian Mark Chen Heewoo Jun ... Jerry Tworek Jacob Hilton Reiichiro Nakano Christopher Hesse John Schulman ReLM OffRL LRM 350 4,596 0 27 Oct 2021
Evaluating Large Language Models Trained on Code Mark Chen Jerry Tworek Heewoo Jun Qiming Yuan Henrique Pondé ... Bob McGrew Dario Amodei Sam McCandlish Ilya Sutskever Wojciech Zaremba ELM ALM 236 5,665 0 07 Jul 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 475 2,121 0 31 Dec 2020
Sharpness-Aware Minimization for Efficiently Improving Generalization Pierre Foret Ariel Kleiner H. Mobahi Behnam Neyshabur AAML 199 1,359 0 03 Oct 2020
Aligning AI With Shared Human Values Dan Hendrycks Collin Burns Steven Basart Andrew Critch Jingkai Li Basel Alomair Jacob Steinhardt 145 574 0 05 Aug 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 882 42,463 0 28 May 2020
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages J. Clark Eunsol Choi Michael Collins Dan Garrette Tom Kwiatkowski Vitaly Nikolaev J. Palomaki 184 613 0 10 Mar 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 611 4,921 0 23 Jan 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 488 20,342 0 23 Oct 2019
SQuAD: 100,000+ Questions for Machine Comprehension of Text Pranav Rajpurkar Jian Zhang Konstantin Lopyrev Percy Liang RALM 316 8,174 0 16 Jun 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014