Transfer Learning of Tabular Data by Finetuning Large Language Models
Fuente:
arXiv
Guardado en:
| Autores principales: | Rabbani, Shourav B., Kowsar, Ibna, Samad, Manar D. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
LATTLE: LLM Attention Transplant for Transfer Learning of Tabular Data Across Disparate Domains
por: Kowsar, Ibna, et al.
Publicado: (2025)
por: Kowsar, Ibna, et al.
Publicado: (2025)
Imputation-free Learning of Tabular Data with Missing Values using Incremental Feature Partitions in Transformer
por: Samad, Manar D., et al.
Publicado: (2025)
por: Samad, Manar D., et al.
Publicado: (2025)
Deep Clustering of Tabular Data by Weighted Gaussian Distribution Learning
por: Rabbani, Shourav B., et al.
Publicado: (2023)
por: Rabbani, Shourav B., et al.
Publicado: (2023)
DeepIFSAC: Deep Imputation of Missing Values Using Feature and Sample Attention within Contrastive Framework
por: Kowsar, Ibna, et al.
Publicado: (2025)
por: Kowsar, Ibna, et al.
Publicado: (2025)
Attention versus Contrastive Learning of Tabular Data -- A Data-centric Benchmarking
por: Rabbani, Shourav B., et al.
Publicado: (2024)
por: Rabbani, Shourav B., et al.
Publicado: (2024)
Large Scale Transfer Learning for Tabular Data via Language Modeling
por: Gardner, Josh, et al.
Publicado: (2024)
por: Gardner, Josh, et al.
Publicado: (2024)
Large Language Models to Diffusion Finetuning
por: Cetin, Edoardo, et al.
Publicado: (2025)
por: Cetin, Edoardo, et al.
Publicado: (2025)
Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models
por: Bordt, Sebastian, et al.
Publicado: (2024)
por: Bordt, Sebastian, et al.
Publicado: (2024)
Causal Explainability of Machine Learning in Heart Failure Prediction from Electronic Health Records
por: Hou, Yina, et al.
Publicado: (2025)
por: Hou, Yina, et al.
Publicado: (2025)
Differentially Private Zeroth-Order Methods for Scalable Large Language Model Finetuning
por: Liu, Z, et al.
Publicado: (2024)
por: Liu, Z, et al.
Publicado: (2024)
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)
ReFT: Representation Finetuning for Language Models
por: Wu, Zhengxuan, et al.
Publicado: (2024)
por: Wu, Zhengxuan, et al.
Publicado: (2024)
Tabular Transfer Learning via Prompting LLMs
por: Nam, Jaehyun, et al.
Publicado: (2024)
por: Nam, Jaehyun, et al.
Publicado: (2024)
Vanishing Gradients in Reinforcement Finetuning of Language Models
por: Razin, Noam, et al.
Publicado: (2023)
por: Razin, Noam, et al.
Publicado: (2023)
Squeeze the Soaked Sponge: Efficient Off-policy Reinforcement Finetuning for Large Language Model
por: Liang, Jing, et al.
Publicado: (2025)
por: Liang, Jing, et al.
Publicado: (2025)
CARE-RFT: Confidence-Anchored Reinforcement Finetuning for Reliable Reasoning in Large Language Models
por: Li, Shuozhe, et al.
Publicado: (2026)
por: Li, Shuozhe, et al.
Publicado: (2026)
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector
por: Zhang, Andi, et al.
Publicado: (2024)
por: Zhang, Andi, et al.
Publicado: (2024)
Learning Rate Scaling across LoRA Ranks and Transfer to Full Finetuning
por: Chen, Nan, et al.
Publicado: (2026)
por: Chen, Nan, et al.
Publicado: (2026)
Small or Large? Zero-Shot or Finetuned? Guiding Language Model Choice for Specialized Applications in Healthcare
por: Gondara, Lovedeep, et al.
Publicado: (2025)
por: Gondara, Lovedeep, et al.
Publicado: (2025)
ELF-Gym: Evaluating Large Language Models Generated Features for Tabular Prediction
por: Zhang, Yanlin, et al.
Publicado: (2024)
por: Zhang, Yanlin, 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)
Finetuning Large Language Models for Automated Depression Screening in Nigerian Pidgin English: GENSCORE Pilot Study
por: Olufadewa, Isaac Iyinoluwa, et al.
Publicado: (2025)
por: Olufadewa, Isaac Iyinoluwa, et al.
Publicado: (2025)
Unfamiliar Finetuning Examples Control How Language Models Hallucinate
por: Kang, Katie, et al.
Publicado: (2024)
por: Kang, Katie, et al.
Publicado: (2024)
Learning Dynamics of LLM Finetuning
por: Ren, Yi, et al.
Publicado: (2024)
por: Ren, Yi, et al.
Publicado: (2024)
Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts
por: Somayajula, Sai Ashish, et al.
Publicado: (2024)
por: Somayajula, Sai Ashish, et al.
Publicado: (2024)
A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks
por: Labrak, Yanis, et al.
Publicado: (2023)
por: Labrak, Yanis, et al.
Publicado: (2023)
Domain-Adapted Small Language Models for Reliable Clinical Triage
por: Aljohani, Manar, et al.
Publicado: (2026)
por: Aljohani, Manar, et al.
Publicado: (2026)
Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning
por: Ye, Jiasheng, et al.
Publicado: (2023)
por: Ye, Jiasheng, et al.
Publicado: (2023)
Transfer Learning for Finetuning Large Language Models
por: Strangmann, Tobias, et al.
Publicado: (2024)
por: Strangmann, Tobias, et al.
Publicado: (2024)
Evaluating Fine-Tuned LLM Model For Medical Transcription With Small Low-Resource Languages Validated Dataset
por: Chowdhury, Mohammed Nowshad Ruhani, et al.
Publicado: (2026)
por: Chowdhury, Mohammed Nowshad Ruhani, et al.
Publicado: (2026)
Symmetry-Constrained Language-Guided Program Synthesis for Discovering Governing Equations from Noisy and Partial Observations
por: Baig, Mirza Samad Ahmed, et al.
Publicado: (2026)
por: Baig, Mirza Samad Ahmed, et al.
Publicado: (2026)
Order Independence With Finetuning
por: Brown, Katrina, et al.
Publicado: (2025)
por: Brown, Katrina, et al.
Publicado: (2025)
Anomaly Detection of Tabular Data Using LLMs
por: Li, Aodong, et al.
Publicado: (2024)
por: Li, Aodong, et al.
Publicado: (2024)
TabDLM: Free-Form Tabular Data Generation via Joint Numerical-Language Diffusion
por: Cai, Donghong, et al.
Publicado: (2026)
por: Cai, Donghong, et al.
Publicado: (2026)
Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning
por: Chen, Yanda, et al.
Publicado: (2024)
por: Chen, Yanda, et al.
Publicado: (2024)
Unveiling Imitation Learning: Exploring the Impact of Data Falsity to Large Language Model
por: Cho, Hyunsoo
Publicado: (2024)
por: Cho, Hyunsoo
Publicado: (2024)
Few-Shot Cross-Lingual Transfer for Prompting Large Language Models in Low-Resource Languages
por: Toukmaji, Christopher
Publicado: (2024)
por: Toukmaji, Christopher
Publicado: (2024)
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains
por: Subramaniam, Vighnesh, et al.
Publicado: (2025)
por: Subramaniam, Vighnesh, et al.
Publicado: (2025)
Conditional Language Policy: A General Framework for Steerable Multi-Objective Finetuning
por: Wang, Kaiwen, et al.
Publicado: (2024)
por: Wang, Kaiwen, et al.
Publicado: (2024)
Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models
por: Bandarkar, Lucas, et al.
Publicado: (2024)
por: Bandarkar, Lucas, et al.
Publicado: (2024)
Ejemplares similares
-
LATTLE: LLM Attention Transplant for Transfer Learning of Tabular Data Across Disparate Domains
por: Kowsar, Ibna, et al.
Publicado: (2025) -
Imputation-free Learning of Tabular Data with Missing Values using Incremental Feature Partitions in Transformer
por: Samad, Manar D., et al.
Publicado: (2025) -
Deep Clustering of Tabular Data by Weighted Gaussian Distribution Learning
por: Rabbani, Shourav B., et al.
Publicado: (2023) -
DeepIFSAC: Deep Imputation of Missing Values Using Feature and Sample Attention within Contrastive Framework
por: Kowsar, Ibna, et al.
Publicado: (2025) -
Attention versus Contrastive Learning of Tabular Data -- A Data-centric Benchmarking
por: Rabbani, Shourav B., et al.
Publicado: (2024)