Title
Synthetic Data Can Mislead Evaluations: Membership Inference as Machine Text Detection Ali Naseh Niloofar Mireshghallah 58 0 0 20 Jan 2025
The Geometry of Tokens in Internal Representations of Large Language Models Karthik Viswanathan Yuri Gardinazzi Giada Panerai Alberto Cazzaniga Matteo Biagetti AIFin 94 4 0 17 Jan 2025
Large Language Models Share Representations of Latent Grammatical Concepts Across Typologically Diverse Languages Jannik Brinkmann Chris Wendler Christian Bartelt Aaron Mueller 51 9 0 10 Jan 2025
Understand, Solve and Translate: Bridging the Multilingual Mathematical Reasoning Gap Hyunwoo Ko Guijin Son Dasol Choi RALM LRM 78 7 0 05 Jan 2025
Tracking the Feature Dynamics in LLM Training: A Mechanistic Study Yang Xu Yixuan Wang Hao Wang 114 1 0 23 Dec 2024
Social Science Is Necessary for Operationalizing Socially Responsible Foundation Models Adam Davies Elisa Nguyen Michael Simeone Erik Johnston Martin Gubri 93 0 0 20 Dec 2024
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning Ruben Ohana Michael McCabe Lucas Meyer Rudy Morel Fruzsina J. Agocs ... François Rozet Liam Parker M. Cranmer S. Ho Shirley Ho PINN AI4CE 72 7 1 30 Nov 2024
Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models Javier Ferrando Oscar Obeso Senthooran Rajamanoharan Neel Nanda 82 10 0 21 Nov 2024
Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Seokil Ham H. Kim Sangmin Woo Changick Kim Mamba 186 0 0 21 Nov 2024
Sparsing Law: Towards Large Language Models with Greater Activation Sparsity Yuqi Luo Chenyang Song Xu Han Y. Chen Chaojun Xiao Zhiyuan Liu Maosong Sun 49 3 0 04 Nov 2024
What Goes Into a LM Acceptability Judgment? Rethinking the Impact of Frequency and Length Lindia Tjuatja Graham Neubig Tal Linzen Sophie Hao 37 1 0 04 Nov 2024
GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for Minority Languages Amir Hossein Kargaran François Yvon Hinrich Schutze VLM 36 5 0 31 Oct 2024
What is Wrong with Perplexity for Long-context Language Modeling? Lizhe Fang Yifei Wang Zhaoyang Liu Chenheng Zhang Stefanie Jegelka Jinyang Gao Bolin Ding Yisen Wang 66 6 0 31 Oct 2024
On Memorization of Large Language Models in Logical Reasoning Chulin Xie Yangsibo Huang Chiyuan Zhang Da Yu Xinyun Chen Bill Yuchen Lin Bo Li Badih Ghazi Ravi Kumar LRM 53 20 0 30 Oct 2024
TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters Haiyang Wang Yue Fan Muhammad Ferjad Naeem Yongqin Xian J. E. Lenssen Liwei Wang F. Tombari Bernt Schiele 46 2 0 30 Oct 2024
ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference Hanshi Sun Li-Wen Chang Yiyuan Ma Wenlei Bao Ningxin Zheng Xin Liu Harry Dong Yuejie Chi Beidi Chen VLM 88 16 0 28 Oct 2024
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA Sangmin Bae Adam Fisch Hrayr Harutyunyan Ziwei Ji Seungyeon Kim Tal Schuster KELM 81 5 0 28 Oct 2024
COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training Haocheng Xi Han Cai Ligeng Zhu Yaojie Lu Kurt Keutzer Jianfei Chen Song Han MQ 75 9 0 25 Oct 2024
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies L. Wang Sheng Chen Linnan Jiang Shu Pan Runze Cai Sen Yang Fei Yang 49 3 0 24 Oct 2024
Does Data Contamination Detection Work (Well) for LLMs? A Survey and Evaluation on Detection Assumptions Yujuan Fu Özlem Uzuner Meliha Yetisgen Fei Xia 59 3 0 24 Oct 2024
MiniPLM: Knowledge Distillation for Pre-Training Language Models Yuxian Gu Hao Zhou Fandong Meng Jie Zhou Minlie Huang 67 5 0 22 Oct 2024
Self-calibration for Language Model Quantization and Pruning Miles Williams G. Chrysostomou Nikolaos Aletras MQ 144 0 0 22 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 29 3 0 21 Oct 2024
Decomposing The Dark Matter of Sparse Autoencoders Joshua Engels Logan Riggs Max Tegmark LLMSV 59 9 0 18 Oct 2024
Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization Phillip Guo Aaquib Syed Abhay Sheshadri Aidan Ewart Gintare Karolina Dziugaite KELM MU 33 5 0 16 Oct 2024
DAQ: Density-Aware Post-Training Weight-Only Quantization For LLMs Yingsong Luo Ling Chen MQ 21 0 0 16 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 Kemal Kurniawan Don Dharmasiri Long Duong Yuan-Fang Li SyDa 58 1 0 16 Oct 2024
Reconstruction of Differentially Private Text Sanitization via Large Language Models Shuchao Pang Zhigang Lu Haoran Wang Peng Fu Yongbin Zhou Minhui Xue AAML 55 4 0 16 Oct 2024
MoH: Multi-Head Attention as Mixture-of-Head Attention Peng Jin Bo Zhu Li Yuan Shuicheng Yan MoE 31 13 0 15 Oct 2024
MIND: Math Informed syNthetic Dialogues for Pretraining LLMs Syeda Nahida Akter Shrimai Prabhumoye John Kamalu S. Satheesh Eric Nyberg M. Patwary M. Shoeybi Bryan Catanzaro LRM SyDa ReLM 98 1 0 15 Oct 2024
ControlMM: Controllable Masked Motion Generation Ekkasit Pinyoanuntapong Muhammad Usama Saleem Korrawe Karunratanakul Pu Wang Hongfei Xue Cheng Chen Chuan Guo Junli Cao J. Ren Sergey Tulyakov VGen 37 4 0 14 Oct 2024
Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family Experts Guorui Zheng Xidong Wang Juhao Liang Nuo Chen Yuping Zheng Benyou Wang MoE 35 5 0 14 Oct 2024
Parameter-Efficient Fine-Tuning of State Space Models Kevin Galim Wonjun Kang Yuchen Zeng H. Koo Kangwook Lee 29 4 0 11 Oct 2024
Data Processing for the OpenGPT-X Model Family Nicolo' Brandizzi Hammam Abdelwahab Anirban Bhowmick Lennard Helmer Benny Jörg Stein ... Georg Rehm Dennis Wegener Nicolas Flores-Herr Joachim Kohler Johannes Leveling VLM 79 2 0 11 Oct 2024
Detecting Training Data of Large Language Models via Expectation Maximization Gyuwan Kim Yang Li Evangelia Spiliopoulou Jie Ma Miguel Ballesteros William Yang Wang MIALM 95 4 2 10 Oct 2024
The Geometry of Concepts: Sparse Autoencoder Feature Structure Yuxiao Li Eric J. Michaud David D. Baek Joshua Engels Xiaoqing Sun Max Tegmark 52 7 0 10 Oct 2024
COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act Philipp Guldimann Alexander Spiridonov Robin Staab Nikola Jovanović Mark Vero ... Mislav Balunović Nikola Konstantinov Pavol Bielik Petar Tsankov Martin Vechev ELM 47 4 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 52 4 0 09 Oct 2024
Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions Zhihao He Hang Yu Zi Gong Shizhan Liu J. Li Weiyao Lin VLM 38 1 0 09 Oct 2024
Fine-tuning can Help Detect Pretraining Data from Large Language Models H. Zhang Songxin Zhang Bingyi Jing Hongxin Wei 43 0 0 09 Oct 2024
Joint Fine-tuning and Conversion of Pretrained Speech and Language Models towards Linear Complexity Mutian He Philip N. Garner 82 0 0 09 Oct 2024
DEPT: Decoupled Embeddings for Pre-training Language Models Alex Iacob Lorenzo Sani Meghdad Kurmanji William F. Shen Xinchi Qiu Dongqi Cai Yan Gao Nicholas D. Lane VLM 145 0 0 07 Oct 2024
Mitigating Memorization In Language Models Mansi Sakarvadia Aswathy Ajith Arham Khan Nathaniel Hudson Caleb Geniesse Kyle Chard Yaoqing Yang Ian Foster Michael W. Mahoney KELM MU 58 0 0 03 Oct 2024
Position: LLM Unlearning Benchmarks are Weak Measures of Progress Pratiksha Thaker Shengyuan Hu Neil Kale Yash Maurya Zhiwei Steven Wu Virginia Smith MU 53 10 0 03 Oct 2024
Geometric Signatures of Compositionality Across a Language Model's Lifetime Jin Hwa Lee Thomas Jiralerspong Lei Yu Yoshua Bengio Emily Cheng CoGe 84 0 0 02 Oct 2024
Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling David Grangier Simin Fan Skyler Seto Pierre Ablin 44 3 0 30 Sep 2024
Small Language Models: Survey, Measurements, and Insights Zhenyan Lu Xiang Li Dongqi Cai Rongjie Yi Fangming Liu Xiwen Zhang Nicholas D. Lane Mengwei Xu ObjD LRM 55 36 0 24 Sep 2024
Can AI writing be salvaged? Mitigating Idiosyncrasies and Improving Human-AI Alignment in the Writing Process through Edits Tuhin Chakrabarty Philippe Laban C. Wu 47 8 0 22 Sep 2024
When Context Leads but Parametric Memory Follows in Large Language Models Yufei Tao Adam Hiatt Erik Haake Antonie J. Jetter Ameeta Agrawal KELM 38 0 0 13 Sep 2024
Your Weak LLM is Secretly a Strong Teacher for Alignment Leitian Tao Yixuan Li 88 5 0 13 Sep 2024