ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2407.06645
  4. Cited By
Entropy Law: The Story Behind Data Compression and LLM Performance

Entropy Law: The Story Behind Data Compression and LLM Performance

9 July 2024
Mingjia Yin
Chuhan Wu
Yufei Wang
Hao Wang
Wei Guo
Yasheng Wang
Y. Liu
Ruiming Tang
Defu Lian
Enhong Chen
ArXivPDFHTML

Papers citing "Entropy Law: The Story Behind Data Compression and LLM Performance"

17 / 17 papers shown
Title
The Rise of Small Language Models in Healthcare: A Comprehensive Survey
The Rise of Small Language Models in Healthcare: A Comprehensive Survey
Muskan Garg
Shaina Raza
Shebuti Rayana
Xingyi Liu
Sunghwan Sohn
LM&MA
AILaw
87
0
0
23 Apr 2025
MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space
MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space
Yicheng Chen
Yining Li
Kai Hu
Zerun Ma
Haochen Ye
Kai Chen
27
0
0
18 Apr 2025
Advancing MAPF towards the Real World: A Scalable Multi-Agent Realistic Testbed (SMART)
Jingtian Yan
Zhifei Li
William Kang
Yulun Zhang
Stephen Smith
Jiaoyang Li
38
0
0
03 Mar 2025
ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Party LLM Data Valuation
ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Party LLM Data Valuation
Yanzhou Pan
Huawei Lin
Yide Ran
Jiamin Chen
Xiaodong Yu
Weijie Zhao
Denghui Zhang
Zhaozhuo Xu
40
0
0
02 Mar 2025
A Universal Framework for Compressing Embeddings in CTR Prediction
A Universal Framework for Compressing Embeddings in CTR Prediction
Kefan Wang
Hao Wang
Kenan Song
Wei Guo
Kai Cheng
Z. Li
Y. Liu
Defu Lian
Enhong Chen
59
1
0
24 Feb 2025
Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation
Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation
Hao Wang
Wei Guo
L. Zhang
Jin Yao Chin
Yufei Ye
Huifeng Guo
Y. Liu
Defu Lian
Ruiming Tang
Enhong Chen
56
1
0
20 Feb 2025
The Representation and Recall of Interwoven Structured Knowledge in LLMs: A Geometric and Layered Analysis
The Representation and Recall of Interwoven Structured Knowledge in LLMs: A Geometric and Layered Analysis
Ge Lei
Samuel J. Cooper
KELM
47
0
0
15 Feb 2025
FuXi-$\alpha$: Scaling Recommendation Model with Feature Interaction Enhanced Transformer
FuXi-α\alphaα: Scaling Recommendation Model with Feature Interaction Enhanced Transformer
Yufei Ye
Wei Guo
Jin Yao Chin
Hao Wang
Hong Zhu
...
Yuyang Ye
Y. Liu
Ruiming Tang
Defu Lian
Enhong Chen
89
2
0
05 Feb 2025
Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction
Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction
Xiang Xu
Hao Wang
Wei Guo
L. Zhang
Wanshan Yang
R. Yu
Y. Liu
Defu Lian
Enhong Chen
33
5
0
22 Nov 2024
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using
  Discrete State Space Diffusion Model
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model
Wenjia Xie
Hao Wang
L. Zhang
Rui Zhou
Defu Lian
Enhong Chen
DiffM
33
3
0
31 Oct 2024
DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning
  Framework for Cognitive Diagnosis
DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis
Shangshang Yang
Mingyang Chen
Ziwen Wang
Xiaoshan Yu
Panpan Zhang
Haiping Ma
Xingyi Zhang
22
0
0
23 Oct 2024
Rethinking Data Selection at Scale: Random Selection is Almost All You
  Need
Rethinking Data Selection at Scale: Random Selection is Almost All You Need
Tingyu Xia
Bowen Yu
K. Dang
An Yang
Yuan Wu
Yuan Tian
Yi-Ju Chang
Junyang Lin
ALM
49
3
0
12 Oct 2024
MDAP: A Multi-view Disentangled and Adaptive Preference Learning
  Framework for Cross-Domain Recommendation
MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation
Junxiong Tong
Mingjia Yin
Hao Wang
Qiushi Pan
Defu Lian
Enhong Chen
27
2
0
08 Oct 2024
Bridging User Dynamics: Transforming Sequential Recommendations with
  Schrödinger Bridge and Diffusion Models
Bridging User Dynamics: Transforming Sequential Recommendations with Schrödinger Bridge and Diffusion Models
Wenjia Xie
Rui Zhou
Hao Wang
Tingjia Shen
Enhong Chen
DiffM
31
9
0
30 Aug 2024
Denoising Pre-Training and Customized Prompt Learning for Efficient
  Multi-Behavior Sequential Recommendation
Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation
Hao Wang
Yongqiang Han
Kefan Wang
Kai Cheng
Zhen Wang
Wei Guo
Yong Liu
Defu Lian
Enhong Chen
33
2
0
21 Aug 2024
KTO: Model Alignment as Prospect Theoretic Optimization
KTO: Model Alignment as Prospect Theoretic Optimization
Kawin Ethayarajh
Winnie Xu
Niklas Muennighoff
Dan Jurafsky
Douwe Kiela
159
437
0
02 Feb 2024
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
1