Cover Image

SAFT: Structure-Aware Fine-Tuning of LLMs for AMR-to-Text Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kamel, Rafiq, Guerranti, Filippo, Geisler, Simon, Günnemann, Stephan
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Long-Range Graph Wavelet Networks
by: Guerranti, Filippo, et al.
Published: (2025)

Task-Aware Calibration: Provably Optimal Decoding in LLMs
by: Tomov, Tim, et al.
Published: (2026)

The Geometry of Refusal in Large Language Models: Concept Cones and Representational Independence
by: Wollschläger, Tom, et al.
Published: (2025)

A Survey : Neural Networks for AMR-to-Text
by: Hao, Hongyu, et al.
Published: (2022)

The Illusion of Certainty: Uncertainty Quantification for LLMs Fails under Ambiguity
by: Tomov, Tim, et al.
Published: (2025)

Modeling Microenvironment Trajectories on Spatial Transcriptomics with NicheFlow
by: Sakalyan, Kristiyan, et al.
Published: (2025)

Extracting Unlearned Information from LLMs with Activation Steering
by: Seyitoğlu, Atakan, et al.
Published: (2024)

QEFT: Quantization for Efficient Fine-Tuning of LLMs
by: Lee, Changhun, et al.
Published: (2024)

PocketLLM: Enabling On-Device Fine-Tuning for Personalized LLMs
by: Peng, Dan, et al.
Published: (2024)

Position-Aware Parameter Efficient Fine-Tuning Approach for Reducing Positional Bias in LLMs
by: Zhang, Zheng, et al.
Published: (2024)

Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance
by: Fuchsgruber, Dominik, et al.
Published: (2024)

Simplify-This: A Comparative Analysis of Prompt-Based and Fine-Tuned LLMs
by: Cohen, Eilam, et al.
Published: (2026)

RAGognizer: Hallucination-Aware Fine-Tuning via Detection Head Integration
by: Ridder, Fabian, et al.
Published: (2026)

Offline Exploration-Aware Fine-Tuning for Long-Chain Mathematical Reasoning
by: Mu, Yongyu, et al.
Published: (2026)

Token Buncher: Shielding LLMs from Harmful Reinforcement Learning Fine-Tuning
by: Feng, Weitao, et al.
Published: (2025)

Reflect-RL: Two-Player Online RL Fine-Tuning for LMs
by: Zhou, Runlong, et al.
Published: (2024)

Memory-Efficient Structured Backpropagation for On-Device LLM Fine-Tuning
by: Park, Juneyoung, et al.
Published: (2026)

Teaching LLMs How to Learn with Contextual Fine-Tuning
by: Choi, Younwoo, et al.
Published: (2025)

Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs
by: Ovadia, Oded, et al.
Published: (2023)

Deep Learning for Medical Text Processing: BERT Model Fine-Tuning and Comparative Study
by: Hu, Jiacheng, et al.
Published: (2024)

Fine-Tuned Large Language Models for Symptom Recognition from Spanish Clinical Text
by: Shaaban, Mai A., et al.
Published: (2024)

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem
by: Wang, Yubo, et al.
Published: (2025)

Ranking Entities along Conceptual Space Dimensions with LLMs: An Analysis of Fine-Tuning Strategies
by: Kumar, Nitesh, et al.
Published: (2024)

CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
by: Liu, Peiyuan, et al.
Published: (2024)

Spatio-Spectral Graph Neural Networks
by: Geisler, Simon, et al.
Published: (2024)

Cheaper, Better, Faster, Stronger: Robust Text-to-SQL without Chain-of-Thought or Fine-Tuning
by: Dönder, Yusuf Denizay, et al.
Published: (2025)

Triplets Better Than Pairs: Towards Stable and Effective Self-Play Fine-Tuning for LLMs
by: Wang, Yibo, et al.
Published: (2026)

EBFT: Effective and Block-Wise Fine-Tuning for Sparse LLMs
by: Guo, Song, et al.
Published: (2024)

L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Models
by: Jeon, Hyesung, et al.
Published: (2024)

A Semantic-Aware Layer-Freezing Approach to Computation-Efficient Fine-Tuning of Language Models
by: Gu, Jian, et al.
Published: (2024)

Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation
by: Yuan, Huizhuo, et al.
Published: (2024)

Anchored Supervised Fine-Tuning
by: Zhu, He, et al.
Published: (2025)

Rethinking Reinforcement Fine-Tuning in LVLM: Convergence, Reward Decomposition, and Generalization
by: Adams, Carter, et al.
Published: (2026)

Automatic Generation of Python Programs Using Context-Free Grammars
by: Yamani, Kamel, et al.
Published: (2024)

Improving Large Language Models with Concept-Aware Fine-Tuning
by: Chen, Michael K., et al.
Published: (2025)

Do LLMs Understand Romanian Driving Laws? A Study on Multimodal and Fine-Tuned Question Answering
by: Barbu, Eduard, et al.
Published: (2025)

LoRA Fine-Tuning Without GPUs: A CPU-Efficient Meta-Generation Framework for LLMs
by: Arabpour, Reza, et al.
Published: (2025)

Towards Understanding Fine-Tuning Mechanisms of LLMs via Circuit Analysis
by: Wang, Xu, et al.
Published: (2025)

Fine-Tuning LLMs for Report Summarization: Analysis on Supervised and Unsupervised Data
by: Rallapalli, Swati, et al.
Published: (2025)

Efficient Differentially Private Fine-Tuning of LLMs via Reinforcement Learning
by: Khadangi, Afshin, et al.
Published: (2025)