Guardado en:
| Autores principales: | Kowsher, Md, Esmaeilbeig, Tara, Yu, Chun-Nam, Chen, Chen, Soltanalian, Mojtaba, Yousefi, Niloofar |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2410.10075 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Predicting Through Generation: Why Generation Is Better for Prediction
por: Kowsher, Md, et al.
Publicado: (2025)
por: Kowsher, Md, et al.
Publicado: (2025)
Does Self-Attention Need Separate Weights in Transformers?
por: Kowsher, Md, et al.
Publicado: (2024)
por: Kowsher, Md, et al.
Publicado: (2024)
Linearization Explains Fine-Tuning in Large Language Models
por: Afzal, Zahra Rahimi, et al.
Publicado: (2026)
por: Afzal, Zahra Rahimi, et al.
Publicado: (2026)
Explainable Detection of Implicit Influential Patterns in Conversations via Data Augmentation
por: Abdidizaji, Sina, et al.
Publicado: (2025)
por: Abdidizaji, Sina, et al.
Publicado: (2025)
Beyond Diagonal RIS: Key to Next-Generation Integrated Sensing and Communications?
por: Esmaeilbeig, Tara, et al.
Publicado: (2024)
por: Esmaeilbeig, Tara, et al.
Publicado: (2024)
Parameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuning
por: Prottasha, Nusrat Jahan, et al.
Publicado: (2024)
por: Prottasha, Nusrat Jahan, et al.
Publicado: (2024)
FlowNIB: An Information Bottleneck Analysis of Bidirectional vs. Unidirectional Language Models
por: Kowsher, Md, et al.
Publicado: (2025)
por: Kowsher, Md, et al.
Publicado: (2025)
Deep Learning-Enabled One-Bit DoA Estimation
por: Yeganegi, Farhang, et al.
Publicado: (2024)
por: Yeganegi, Farhang, et al.
Publicado: (2024)
Ambiguity Function Shaping in FMCW Automotive Radar
por: Esmaeilbeig, Zahra, et al.
Publicado: (2024)
por: Esmaeilbeig, Zahra, et al.
Publicado: (2024)
Space-Time Adaptive Processing for radars in Connected and Automated Vehicular Platoons
por: Esmaeilbeig, Zahra, et al.
Publicado: (2023)
por: Esmaeilbeig, Zahra, et al.
Publicado: (2023)
Monkey Jump : MoE-Style PEFT for Efficient Multi-Task Learning
por: Prottasha, Nusrat Jahan, et al.
Publicado: (2026)
por: Prottasha, Nusrat Jahan, et al.
Publicado: (2026)
LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecasting
por: Kowsher, Md, et al.
Publicado: (2024)
por: Kowsher, Md, et al.
Publicado: (2024)
User Profile with Large Language Models: Construction, Updating, and Benchmarking
por: Prottasha, Nusrat Jahan, et al.
Publicado: (2025)
por: Prottasha, Nusrat Jahan, et al.
Publicado: (2025)
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
por: Ashkboos, Saleh, et al.
Publicado: (2024)
por: Ashkboos, Saleh, et al.
Publicado: (2024)
ReFT: Representation Finetuning for Language Models
por: Wu, Zhengxuan, et al.
Publicado: (2024)
por: Wu, Zhengxuan, et al.
Publicado: (2024)
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model
por: Liu, Zirui, et al.
Publicado: (2023)
por: Liu, Zirui, et al.
Publicado: (2023)
CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models
por: Gong, Zi, et al.
Publicado: (2024)
por: Gong, Zi, et al.
Publicado: (2024)
Alignment Whack-a-Mole : Finetuning Activates Verbatim Recall of Copyrighted Books in Large Language Models
por: Liu, Xinyue, et al.
Publicado: (2026)
por: Liu, Xinyue, et al.
Publicado: (2026)
AI-generated text boundary detection with RoFT
por: Kushnareva, Laida, et al.
Publicado: (2023)
por: Kushnareva, Laida, et al.
Publicado: (2023)
RoT: Enhancing Table Reasoning with Iterative Row-Wise Traversals
por: Zhang, Xuanliang, et al.
Publicado: (2025)
por: Zhang, Xuanliang, et al.
Publicado: (2025)
Propulsion: Steering LLM with Tiny Fine-Tuning
por: Kowsher, Md, et al.
Publicado: (2024)
por: Kowsher, Md, et al.
Publicado: (2024)
Delta Activations: A Representation for Finetuned Large Language Models
por: Xu, Zhiqiu, et al.
Publicado: (2025)
por: Xu, Zhiqiu, et al.
Publicado: (2025)
Learning the Bitter Lesson: Empirical Evidence from 20 Years of CVPR Proceedings
por: Yousefi, Mojtaba, et al.
Publicado: (2024)
por: Yousefi, Mojtaba, et al.
Publicado: (2024)
PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models
por: Prottasha, Nusrat Jahan, et al.
Publicado: (2025)
por: Prottasha, Nusrat Jahan, et al.
Publicado: (2025)
Changes by Butterflies: Farsighted Forecasting with Group Reservoir Transformer
por: Kowsher, Md, et al.
Publicado: (2024)
por: Kowsher, Md, et al.
Publicado: (2024)
Mitigating Large Language Model Hallucination with Faithful Finetuning
por: Hu, Minda, et al.
Publicado: (2024)
por: Hu, Minda, et al.
Publicado: (2024)
RoMe: Row Granularity Access Memory System for Large Language Models
por: Nam, Hwayong, et al.
Publicado: (2025)
por: Nam, Hwayong, et al.
Publicado: (2025)
BnTTS: Few-Shot Speaker Adaptation in Low-Resource Setting
por: Basher, Mohammad Jahid Ibna, et al.
Publicado: (2025)
por: Basher, Mohammad Jahid Ibna, et al.
Publicado: (2025)
MAPLE: Multilingual Evaluation of Parameter Efficient Finetuning of Large Language Models
por: Aggarwal, Divyanshu, et al.
Publicado: (2024)
por: Aggarwal, Divyanshu, et al.
Publicado: (2024)
Efficient Adapter Finetuning for Tail Languages in Streaming Multilingual ASR
por: Bai, Junwen, et al.
Publicado: (2024)
por: Bai, Junwen, et al.
Publicado: (2024)
LiME: Lightweight Mixture of Experts for Efficient Multimodal Multi-task Learning
por: Kowsher, Md, et al.
Publicado: (2026)
por: Kowsher, Md, et al.
Publicado: (2026)
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models
por: Bhatt, Gantavya, et al.
Publicado: (2024)
por: Bhatt, Gantavya, et al.
Publicado: (2024)
MuonAll: Muon Variant for Efficient Finetuning of Large Language Models
por: Page, Saurabh, et al.
Publicado: (2025)
por: Page, Saurabh, et al.
Publicado: (2025)
Customizing Large Language Model Generation Style using Parameter-Efficient Finetuning
por: Liu, Xinyue, et al.
Publicado: (2024)
por: Liu, Xinyue, et al.
Publicado: (2024)
RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions
por: Zhang, Yuansen, et al.
Publicado: (2024)
por: Zhang, Yuansen, et al.
Publicado: (2024)
Large Language Models to Diffusion Finetuning
por: Cetin, Edoardo, et al.
Publicado: (2025)
por: Cetin, Edoardo, et al.
Publicado: (2025)
RoSA: Enhancing Parameter-Efficient Fine-Tuning via RoPE-aware Selective Adaptation in Large Language Models
por: Pan, Dayan, et al.
Publicado: (2025)
por: Pan, Dayan, et al.
Publicado: (2025)
Nested-ReFT: Efficient Reinforcement Learning for Large Language Model Fine-Tuning via Off-Policy Rollouts
por: Heuillet, Maxime, et al.
Publicado: (2025)
por: Heuillet, Maxime, et al.
Publicado: (2025)
Risk-Averse Finetuning of Large Language Models
por: Chaudhary, Sapana, et al.
Publicado: (2025)
por: Chaudhary, Sapana, et al.
Publicado: (2025)
Transfer Learning for Finetuning Large Language Models
por: Strangmann, Tobias, et al.
Publicado: (2024)
por: Strangmann, Tobias, et al.
Publicado: (2024)
Ejemplares similares
-
Predicting Through Generation: Why Generation Is Better for Prediction
por: Kowsher, Md, et al.
Publicado: (2025) -
Does Self-Attention Need Separate Weights in Transformers?
por: Kowsher, Md, et al.
Publicado: (2024) -
Linearization Explains Fine-Tuning in Large Language Models
por: Afzal, Zahra Rahimi, et al.
Publicado: (2026) -
Explainable Detection of Implicit Influential Patterns in Conversations via Data Augmentation
por: Abdidizaji, Sina, et al.
Publicado: (2025) -
Beyond Diagonal RIS: Key to Next-Generation Integrated Sensing and Communications?
por: Esmaeilbeig, Tara, et al.
Publicado: (2024)