Title
AttentionInfluence: Adopting Attention Head Influence for Weak-to-Strong Pretraining Data Selection Kai Hua Steven Wu Ge Zhang Ke Shen LRM 18 0 0 12 May 2025
R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training Albert Ge Tzu-Heng Huang John Cooper Avi Trost Ziyi Chu Satya Sai Srinath Namburi GNVV Ziyang Cai Kendall Park Nicholas Roberts Frederic Sala 47 0 0 01 May 2025
Combatting Dimensional Collapse in LLM Pre-Training Data via Diversified File Selection Ziqing Fan Siyuan Du Shengchao Hu Pingjie Wang Li Shen Y. Zhang Dacheng Tao Y. Wang 41 1 0 29 Apr 2025
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Paul Kassianik Baturay Saglam Alexander Chen Blaine Nelson Anu Vellore ... Hyrum Anderson Kojin Oshiba Omar Santos Yaron Singer Amin Karbasi PILM 56 0 0 28 Apr 2025
QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Fengze Liu Weidong Zhou Binbin Liu Zhimiao Yu Yifan Zhang ... Yifeng Yu Bingni Zhang Xiaohuan Zhou Taifeng Wang Yong Cao 55 0 0 23 Apr 2025
Meta-rater: A Multi-dimensional Data Selection Method for Pre-training Language Models Xinlin Zhuang Jiahui Peng Ren Ma Y. Wang Tianyi Bai Xingjian Wei Jiantao Qiu Chi Zhang Ying Qian Conghui He 39 0 0 19 Apr 2025
CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training Shizhe Diao Yu Yang Y. Fu Xin Dong Dan Su ... Hongxu Yin M. Patwary Yingyan Jan Kautz Pavlo Molchanov 33 0 0 17 Apr 2025
On Linear Representations and Pretraining Data Frequency in Language Models Jack Merullo Noah A. Smith Sarah Wiegreffe Yanai Elazar 32 0 0 16 Apr 2025
Efficient Evaluation of Large Language Models via Collaborative Filtering Xu-Xiang Zhong Chao Yi Han-Jia Ye 21 0 0 05 Apr 2025
ToReMi: Topic-Aware Data Reweighting for Dynamic Pre-Training Data Selection Xiaoxuan Zhu Zhouhong Gu Baiqian Wu Suhang Zheng Tao Wang Tianyu Li Hongwei Feng Yanghua Xiao 40 0 0 01 Apr 2025
Empirical Analysis of Sim-and-Real Cotraining Of Diffusion Policies For Planar Pushing from Pixels Adam Wei Abhinav Agarwal Boyuan Chen Rohan Bosworth Nicholas Pfaff Russ Tedrake 40 1 0 28 Mar 2025
Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework Thomson Yen Andrew Siah Haozhe Chen Tianyi Peng Daniel Guetta Hongseok Namkoong 48 0 0 26 Mar 2025
HAR-DoReMi: Optimizing Data Mixture for Self-Supervised Human Activity Recognition Across Heterogeneous IMU Datasets Lulu Ban Tao Zhu Xiangqing Lu Qi Qiu Wenyong Han Shuangjian Li L. Chen Kevin I-Kai Wang Mingxing Nie Yaping Wan 59 0 0 16 Mar 2025
Compute Optimal Scaling of Skills: Knowledge vs Reasoning Nicholas Roberts Niladri S. Chatterji Sharan Narang Mike Lewis Dieuwke Hupkes 46 2 0 13 Mar 2025
Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions E. Liu Amanda Bertsch Lintang Sutawika Lindia Tjuatja Patrick Fernandes ... S. Carolin (Haas) Lawrence Aditi Raghunathan Kiril Gashteovski Graham Neubig 60 0 0 05 Mar 2025
Curating Demonstrations using Online Experience Annie S. Chen Alec M. Lessing Yuejiang Liu Chelsea Finn 55 0 0 05 Mar 2025
SampleMix: A Sample-wise Pre-training Data Mixing Strategey by Coordinating Data Quality and Diversity Xiangyu Xi Deyang Kong Jian Yang Jiawei Yang Z. Chen Wei Wang J. T. Wang Xunliang Cai Shikun Zhang Wei Ye 60 0 0 03 Mar 2025
Mixtera: A Data Plane for Foundation Model Training Maximilian Böther Xiaozhe Yao Tolga Kerimoglu Ana Klimovic Viktor Gsteiger Ana Klimovic MoE 74 0 0 27 Feb 2025
Tokens for Learning, Tokens for Unlearning: Mitigating Membership Inference Attacks in Large Language Models via Dual-Purpose Training Toan Tran Ruixuan Liu Li Xiong MU 41 0 0 27 Feb 2025
Unsupervised Topic Models are Data Mixers for Pre-training Language Models Jiahui Peng Xinlin Zhuang Qiu Jiantao Ren Ma Jing Yu Tianyi Bai Conghui He 36 0 0 24 Feb 2025
Optimizing Pre-Training Data Mixtures with Mixtures of Data Expert Models Lior Belenki Alekh Agarwal Tianze Shi Kristina Toutanova MoE 46 0 0 21 Feb 2025
PiKE: Adaptive Data Mixing for Multi-Task Learning Under Low Gradient Conflicts Zeman Li Yuan Deng Peilin Zhong Meisam Razaviyayn Vahab Mirrokni MoMe 75 1 0 10 Feb 2025
Do we really have to filter out random noise in pre-training data for language models? Jinghan Ru Yuxin Xie Xianwei Zhuang Yuguo Yin Yuexian Zou 83 2 0 10 Feb 2025
Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining Daouda Sow Herbert Woisetschläger Saikiran Bulusu Shiqiang Wang Hans-Arno Jacobsen Yingbin Liang 59 0 0 10 Feb 2025
NExtLong: Toward Effective Long-Context Training without Long Documents Chaochen Gao Xing Wu Zijia Lin Debing Zhang Songlin Hu SyDa 64 1 0 22 Jan 2025
Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback Lester James Validad Miranda Yizhong Wang Yanai Elazar Sachin Kumar Valentina Pyatkin Faeze Brahman Noah A. Smith Hannaneh Hajishirzi Pradeep Dasigi 45 8 0 08 Jan 2025
Exposing Limitations of Language Model Agents in Sequential-Task Compositions on the Web Hiroki Furuta Yutaka Matsuo Aleksandra Faust Izzeddin Gur CLL 78 13 0 03 Jan 2025
Maximize Your Data's Potential: Enhancing LLM Accuracy with Two-Phase Pretraining Steven Feng Shrimai Prabhumoye Kezhi Kong Dan Su M. Patwary M. Shoeybi Bryan Catanzaro 65 0 0 18 Dec 2024
Predictable Emergent Abilities of LLMs: Proxy Tasks Are All You Need Bo Zhang Yan Yan Boxiang Yang Yifei Xue Guang Liu LRM 74 0 0 10 Dec 2024
Training Bilingual LMs with Data Constraints in the Targeted Language Skyler Seto Maartje ter Hoeve He Bai Natalie Schluter David Grangier 74 0 0 20 Nov 2024
What Should Baby Models Read? Exploring Sample-Efficient Data Composition on Model Performance Hong Meng Yam Nathan J Paek 41 1 0 11 Nov 2024
ZIP-FIT: Embedding-Free Data Selection via Compression-Based Alignment Elyas Obbad Iddah Mlauzi Brando Miranda Rylan Schaeffer Kamal Obbad Suhana Bedi Sanmi Koyejo CVBM 48 0 0 23 Oct 2024
MiniPLM: Knowledge Distillation for Pre-Training Language Models Yuxian Gu Hao Zhou Fandong Meng Jie Zhou Minlie Huang 58 5 0 22 Oct 2024
Scalable Data Ablation Approximations for Language Models through Modular Training and Merging Clara Na Ian H. Magnusson A. Jha Tom Sherborne Emma Strubell Jesse Dodge Pradeep Dasigi MoMe 36 4 0 21 Oct 2024
CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts Zhenpeng Su Xing Wu Zijia Lin Yizhe Xiong Minxuan Lv Guangyuan Ma Hui Chen Songlin Hu Guiguang Ding MoE 26 2 0 21 Oct 2024
Balancing Label Quantity and Quality for Scalable Elicitation Alex Troy Mallen Nora Belrose 22 1 0 17 Oct 2024
Mastering the Craft of Data Synthesis for CodeLLMs Meng Chen Philip Arthur Qianyu Feng Cong Duy Vu Hoang Yu-Heng Hong ... Mark Johnson K. K. Don Dharmasiri Long Duong Yuan-Fang Li SyDa 46 1 0 16 Oct 2024
Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws Yiding Jiang Allan Zhou Zhili Feng Sadhika Malladi J. Zico Kolter 33 15 0 15 Oct 2024
Multi-Agent Collaborative Data Selection for Efficient LLM Pretraining Tianyi Bai Ling Yang Zhen Hao Wong Jiahui Peng Xinlin Zhuang ... Lijun Wu Jiantao Qiu Wentao Zhang Binhang Yuan Conghui He LLMAG 23 4 0 10 Oct 2024
Extracting and Transferring Abilities For Building Multi-lingual Ability-enhanced Large Language Models Zhipeng Chen Liang Song K. Zhou Wayne Xin Zhao B. Wang Weipeng Chen Ji-Rong Wen 60 0 0 10 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 40 4 0 09 Oct 2024
Communication-Efficient Federated Group Distributionally Robust Optimization Zhishuai Guo Tianbao Yang FedML 25 0 0 08 Oct 2024
Cookbook: A framework for improving LLM generative abilities via programmatic data generating templates A. Narayan Mayee F. Chen Kush S. Bhatia Christopher Ré SyDa 36 3 0 07 Oct 2024
Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasets Tianjian Li Haoran Xu Weiting Tan Kenton Murray Daniel Khashabi 35 1 0 06 Oct 2024
Dynamic Gradient Alignment for Online Data Mixing Simin Fan David Grangier Pierre Ablin 26 3 0 03 Oct 2024
Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling David Grangier Simin Fan Skyler Seto Pierre Ablin 34 3 0 30 Sep 2024
Pruning then Reweighting: Towards Data-Efficient Training of Diffusion Models Yize Li Yihua Zhang Sijia Liu Xue Lin 40 3 0 27 Sep 2024
Data Proportion Detection for Optimized Data Management for Large Language Models Hao Liang Keshi Zhao Yajie Yang Bin Cui Guosheng Dong Zenan Zhou Wentao Zhang 31 0 0 26 Sep 2024
Towards Data-Centric RLHF: Simple Metrics for Preference Dataset Comparison Judy Hanwen Shen Archit Sharma Jun Qin 32 4 0 15 Sep 2024
DiPT: Enhancing LLM reasoning through diversified perspective-taking H. Just Mahavir Dabas Lifu Huang Ming Jin Ruoxi Jia LRM 32 1 0 10 Sep 2024