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Intrinsic Dimensionality Explains the Effectiveness of Language Model
  Fine-Tuning

Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning

Annual Meeting of the Association for Computational Linguistics (ACL), 2020
22 December 2020
Armen Aghajanyan
Luke Zettlemoyer
Sonal Gupta
ArXiv (abs)PDFHTMLHuggingFace (5 upvotes)

Papers citing "Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning"

50 / 423 papers shown
Decomposed Trust: Exploring Privacy, Adversarial Robustness, Fairness, and Ethics of Low-Rank LLMs
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Yang Li
152
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27 Nov 2025
Geometry of Decision Making in Language Models
Geometry of Decision Making in Language Models
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Divyanshu Bhatt
Ashutosh Modi
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332
3
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25 Nov 2025
Unveiling Intrinsic Dimension of Texts: from Academic Abstract to Creative Story
Unveiling Intrinsic Dimension of Texts: from Academic Abstract to Creative Story
Vladislav Pedashenko
Laida Kushnareva
Yana Khassan Nibal
Eduard Tulchinskii
Kristian Kuznetsov
Vladislav Zharchinskii
Yury Maximov
Irina Piontkovskaya
240
0
0
19 Nov 2025
FPS: Feedforward-based Parameter Selection For Efficient Fine-Tuning
FPS: Feedforward-based Parameter Selection For Efficient Fine-Tuning
Kenneth Yang
Wen-Li Wei
Jen-Chun Lin
151
0
0
31 Oct 2025
1+1>2: A Synergistic Sparse and Low-Rank Compression Method for Large Language Models
1+1>2: A Synergistic Sparse and Low-Rank Compression Method for Large Language Models
Zeliang Zong
Kai Zhang
Zheyang Li
Wenming Tan
Ye Ren
Yiyan Zhai
Jilin Hu
170
0
0
30 Oct 2025
Sequences of Logits Reveal the Low Rank Structure of Language Models
Sequences of Logits Reveal the Low Rank Structure of Language Models
Noah Golowich
Allen Liu
Abhishek Shetty
117
4
0
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Beyond Hidden-Layer Manipulation: Semantically-Aware Logit Interventions for Debiasing LLMs
Beyond Hidden-Layer Manipulation: Semantically-Aware Logit Interventions for Debiasing LLMs
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130
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0
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Emotions Where Art Thou: Understanding and Characterizing the Emotional Latent Space of Large Language Models
Emotions Where Art Thou: Understanding and Characterizing the Emotional Latent Space of Large Language Models
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Adar Avsian
Larry Heck
192
3
0
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REx86: A Local Large Language Model for Assisting in x86 Assembly Reverse Engineering
REx86: A Local Large Language Model for Assisting in x86 Assembly Reverse Engineering
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James M Ghawaly
Golden Richard III
Aisha Ali-Gombe
Andrew Case
146
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GaLLoP: Gradient-based Sparse Learning on Low-Magnitude Parameters
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G. B. Hacene
Fabien Cardinaux
Antoine Bosselut
211
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Ina Kodrasi
141
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A Guardrail for Safety Preservation: When Safety-Sensitive Subspace Meets Harmful-Resistant Null-Space
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Bingjie Zhang
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Renzhe
Dandan Guo
Jindong Gu
Philip Torr
Bernard Ghanem
327
3
0
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Where to Search: Measure the Prior-Structured Search Space of LLM Agents
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Zhuo-Yang Song
294
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Narrow Finetuning Leaves Clearly Readable Traces in Activation Differences
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Helena Casademunt
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Neel Nanda
191
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Compressibility Measures Complexity: Minimum Description Length Meets Singular Learning Theory
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149
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AI4TS
131
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Yue Fang
Hongxin Ding
Weibin Liao
Muyang Ye
Xu Chu
Junfeng Zhao
Yasha Wang
CLL
176
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Van-Tam Nguyen
184
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Zhihang Deng
Fanchao Meng
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Hui Yi Leong
OffRLAI4CE
293
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162
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Babak Hodjat
Risto Miikkulainen
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275
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248
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Does Weak-to-strong Generalization Happen under Spurious Correlations?
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191
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Rule-Based Reinforcement Learning for Document Image Classification with Vision Language Models
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115
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Hisham Cholakkal
139
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163
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Ayan Biswas
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AI4TSAI4CE
379
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HyperAdapt: Simple High-Rank Adaptation
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