Enhancing News Summarization with ELearnFit through Efficient In-Context Learning and Efficient Fine-Tuning
Fuente:
arXiv
Saved in:
| Main Authors: | Guan, Che, Chin, Andrew, Vahabi, Puya |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
In-Context Learning Distillation for Efficient Few-Shot Fine-Tuning
by: Duan, Yifei, et al.
Published: (2024)
by: Duan, Yifei, et al.
Published: (2024)
A Hybrid Architecture with Efficient Fine Tuning for Abstractive Patent Document Summarization
by: Jayatilleke, Nevidu, et al.
Published: (2025)
by: Jayatilleke, Nevidu, et al.
Published: (2025)
DoRA: Enhancing Parameter-Efficient Fine-Tuning with Dynamic Rank Distribution
by: Mao, Yulong, et al.
Published: (2024)
by: Mao, Yulong, et al.
Published: (2024)
Parameter-Efficient Fine-Tuning for Medical Text Summarization: A Comparative Study of Lora, Prompt Tuning, and Full Fine-Tuning
by: Shernazarov, Ulugbek, et al.
Published: (2026)
by: Shernazarov, Ulugbek, et al.
Published: (2026)
Can Smaller LLMs do better? Unlocking Cross-Domain Potential through Parameter-Efficient Fine-Tuning for Text Summarization
by: Afzal, Anum, et al.
Published: (2025)
by: Afzal, Anum, et al.
Published: (2025)
Enhancing Faithfulness in Abstractive Summarization via Span-Level Fine-Tuning
by: Huang, Sicong, et al.
Published: (2025)
by: Huang, Sicong, et al.
Published: (2025)
MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter
by: Hao, Jitai, et al.
Published: (2024)
by: Hao, Jitai, et al.
Published: (2024)
Exploring Fine-Tuning for In-Context Retrieval and Efficient KV-Caching in Long-Context Language Models
by: Molfese, Francesco Maria, et al.
Published: (2026)
by: Molfese, Francesco Maria, et al.
Published: (2026)
Crafting Efficient Fine-Tuning Strategies for Large Language Models
by: Oliver, Michael, et al.
Published: (2024)
by: Oliver, Michael, et al.
Published: (2024)
Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning
by: Wang, Shaobo, et al.
Published: (2025)
by: Wang, Shaobo, et al.
Published: (2025)
UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter-Efficient Fine-Tuning of Large Models
by: Zhang, Xueyan, et al.
Published: (2025)
by: Zhang, Xueyan, et al.
Published: (2025)
Correlation-Aware Select and Merge Attention for Efficient Fine-Tuning and Context Length Extension
by: Wang, Ning, et al.
Published: (2024)
by: Wang, Ning, et al.
Published: (2024)
Efficient Many-Shot In-Context Learning with Dynamic Block-Sparse Attention
by: Xiao, Emily, et al.
Published: (2025)
by: Xiao, Emily, et al.
Published: (2025)
Parameter-Efficient Fine-Tuning With Adapters
by: Chen, Keyu, et al.
Published: (2024)
by: Chen, Keyu, et al.
Published: (2024)
ShadowPEFT: Shadow Network for Parameter-Efficient Fine-Tuning
by: Li, Xianming, et al.
Published: (2026)
by: Li, Xianming, et al.
Published: (2026)
Neologism Learning as a Parameter-Efficient Alternative to Fine-Tuning for Model Steering
by: Park, Sungjoon, et al.
Published: (2025)
by: Park, Sungjoon, et al.
Published: (2025)
Learning Fine-Grained Controllability on Speech Generation via Efficient Fine-Tuning
by: Chien, Chung-Ming, et al.
Published: (2024)
by: Chien, Chung-Ming, et al.
Published: (2024)
Filtering Beats Fine Tuning: A Bayesian Kalman View of In Context Learning in LLMs
by: Kiruluta, Andrew
Published: (2026)
by: Kiruluta, Andrew
Published: (2026)
Unveiling Reasoning Thresholds in Language Models: Scaling, Fine-Tuning, and Interpretability through Attention Maps
by: Hsiao, Yen-Che, et al.
Published: (2025)
by: Hsiao, Yen-Che, et al.
Published: (2025)
Fine-Tuned Language Models for Domain-Specific Summarization and Tagging
by: Wang, Jun, et al.
Published: (2025)
by: Wang, Jun, et al.
Published: (2025)
Fine-Tuning LLMs for Report Summarization: Analysis on Supervised and Unsupervised Data
by: Rallapalli, Swati, et al.
Published: (2025)
by: Rallapalli, Swati, et al.
Published: (2025)
QEFT: Quantization for Efficient Fine-Tuning of LLMs
by: Lee, Changhun, et al.
Published: (2024)
by: Lee, Changhun, et al.
Published: (2024)
DELIFT: Data Efficient Language model Instruction Fine Tuning
by: Agarwal, Ishika, et al.
Published: (2024)
by: Agarwal, Ishika, et al.
Published: (2024)
SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning
by: Wen, Zhihao, et al.
Published: (2024)
by: Wen, Zhihao, et al.
Published: (2024)
DEFT: Distribution-guided Efficient Fine-Tuning for Human Alignment
by: Zhu, Liang, et al.
Published: (2026)
by: Zhu, Liang, et al.
Published: (2026)
Towards Efficient Medical Reasoning with Minimal Fine-Tuning Data
by: Zhuang, Xinlin, et al.
Published: (2025)
by: Zhuang, Xinlin, et al.
Published: (2025)
High-Rank Structured Modulation for Parameter-Efficient Fine-Tuning
by: Liu, Yongkang, et al.
Published: (2026)
by: Liu, Yongkang, et al.
Published: (2026)
Parameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuning
by: Prottasha, Nusrat Jahan, et al.
Published: (2024)
by: Prottasha, Nusrat Jahan, et al.
Published: (2024)
In-Context Learning and Fine-Tuning GPT for Argument Mining
by: Cabessa, Jérémie, et al.
Published: (2024)
by: Cabessa, Jérémie, et al.
Published: (2024)
TokenSeek: Memory Efficient Fine Tuning via Instance-Aware Token Ditching
by: Zeng, Runjia, et al.
Published: (2026)
by: Zeng, Runjia, et al.
Published: (2026)
Semantic are Beacons: A Semantic Perspective for Unveiling Parameter-Efficient Fine-Tuning in Knowledge Learning
by: Wang, Renzhi, et al.
Published: (2024)
by: Wang, Renzhi, et al.
Published: (2024)
Parameter-Efficient Fine-Tuning via Circular Convolution
by: Chen, Aochuan, et al.
Published: (2024)
by: Chen, Aochuan, et al.
Published: (2024)
Parameter-Efficient Fine-Tuning of State Space Models
by: Galim, Kevin, et al.
Published: (2024)
by: Galim, Kevin, et al.
Published: (2024)
Dialect Identification Using Resource-Efficient Fine-Tuning Approaches
by: Lin, Zirui, et al.
Published: (2025)
by: Lin, Zirui, et al.
Published: (2025)
Unlocking Parameter-Efficient Fine-Tuning for Low-Resource Language Translation
by: Su, Tong, et al.
Published: (2024)
by: Su, Tong, et al.
Published: (2024)
PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark
by: Belanec, Robert, et al.
Published: (2025)
by: Belanec, Robert, et al.
Published: (2025)
UMB@PerAnsSumm 2025: Enhancing Perspective-Aware Summarization with Prompt Optimization and Supervised Fine-Tuning
by: Qi, Kristin, et al.
Published: (2025)
by: Qi, Kristin, et al.
Published: (2025)
FastPerson: Enhancing Video Learning through Effective Video Summarization that Preserves Linguistic and Visual Contexts
by: Kawamura, Kazuki, et al.
Published: (2024)
by: Kawamura, Kazuki, et al.
Published: (2024)
Parameter-Efficient Fine-Tuning for Foundation Models
by: Zhang, Dan, et al.
Published: (2025)
by: Zhang, Dan, et al.
Published: (2025)
Efficient Differentially Private Fine-Tuning of LLMs via Reinforcement Learning
by: Khadangi, Afshin, et al.
Published: (2025)
by: Khadangi, Afshin, et al.
Published: (2025)
Similar Items
-
In-Context Learning Distillation for Efficient Few-Shot Fine-Tuning
by: Duan, Yifei, et al.
Published: (2024) -
A Hybrid Architecture with Efficient Fine Tuning for Abstractive Patent Document Summarization
by: Jayatilleke, Nevidu, et al.
Published: (2025) -
DoRA: Enhancing Parameter-Efficient Fine-Tuning with Dynamic Rank Distribution
by: Mao, Yulong, et al.
Published: (2024) -
Parameter-Efficient Fine-Tuning for Medical Text Summarization: A Comparative Study of Lora, Prompt Tuning, and Full Fine-Tuning
by: Shernazarov, Ulugbek, et al.
Published: (2026) -
Can Smaller LLMs do better? Unlocking Cross-Domain Potential through Parameter-Efficient Fine-Tuning for Text Summarization
by: Afzal, Anum, et al.
Published: (2025)