Cover Image

Fine-Tuning LLMs for Report Summarization: Analysis on Supervised and Unsupervised Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rallapalli, Swati, Gallagher, Shannon, Mellinger, Andrew O., Ratchford, Jasmine, Sinha, Anusha, Brooks, Tyler, Nichols, William R., Winski, Nick, Brown, Bryan
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Analysis and Explainability of LLMs Via Evolutionary Methods
by: Gallagher, Shannon K., et al.
Published: (2026)

Interpretable Stylistic Variation in Human and LLM Writing Across Genres, Models, and Decoding Strategies
by: Rallapalli, Swati, et al.
Published: (2026)

Portals for Undergraduate Subject Searching: Are They Worth It?
by: Nichols, Jane, et al.
Published: (2007)

Building Hybrid B-Spline And Neural Network Operators
by: Romagnoli, Raffaele, et al.
Published: (2024)

Semantic Loss Guided Data Efficient Supervised Fine Tuning for Safe Responses in LLMs
by: Lu, Yuxiao, et al.
Published: (2024)

A Summary Report of the Study "Areas of Concern in Technical Institute Accreditation."
by: Mellinger, Barry L.
Published: (1972)

Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions
by: Yoon, Jinsung, et al.
Published: (2024)

Towards Pedagogical LLMs with Supervised Fine Tuning for Computing Education
by: Vassar, Alexandra, et al.
Published: (2024)

Supervised Fine-Tuning LLMs to Behave as Pedagogical Agents in Programming Education
by: Ross, Emily, et al.
Published: (2025)

Prompting and Fine-Tuning of Small LLMs for Length-Controllable Telephone Call Summarization
by: Thulke, David, et al.
Published: (2024)

Toward a critical analysis of tourism representations / Wayne Martin Mellinger
by: Mellinger, Wayne Martin
Published: (1917)

ATLAS from Data Research Associates: A Fully Integrated Automation System.
by: Mellinger, Michael J.
Published: (1987)

Leveraging the Power of LLMs: A Fine-Tuning Approach for High-Quality Aspect-Based Summarization
by: Mullick, Ankan, et al.
Published: (2024)

Supervised Fine-Tuning or In-Context Learning? Evaluating LLMs for Clinical NER
by: Baroian, Andrei
Published: (2025)

BITS Pilani at SemEval-2026 Task 9: Structured Supervised Fine-Tuning with DPO Refinement for Polarization Detection
by: Gupta, Atharva, et al.
Published: (2026)

Enhancing News Summarization with ELearnFit through Efficient In-Context Learning and Efficient Fine-Tuning
by: Guan, Che, et al.
Published: (2024)

UMB@PerAnsSumm 2025: Enhancing Perspective-Aware Summarization with Prompt Optimization and Supervised Fine-Tuning
by: Qi, Kristin, et al.
Published: (2025)

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

Proximal Supervised Fine-Tuning
by: Zhu, Wenhong, et al.
Published: (2025)

FineSurE: Fine-grained Summarization Evaluation using LLMs
by: Song, Hwanjun, et al.
Published: (2024)

Deep operator learning-based surrogate models for aerothermodynamic analysis of AEDC hypersonic waverider
by: Shukla, Khemraj, et al.
Published: (2024)

Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs
by: Pareja, Aldo, et al.
Published: (2024)

One-Token Rollout: Guiding Supervised Fine-Tuning of LLMs with Policy Gradient
by: Ming, Rui, et al.
Published: (2025)

Fine-Tuned Language Models for Domain-Specific Summarization and Tagging
by: Wang, Jun, et al.
Published: (2025)

SFT-TA: Supervised Fine-Tuned Agents in Multi-Agent LLMs for Automated Inductive Thematic Analysis
by: Yi, Seungjun, et al.
Published: (2025)

Automatic High-quality Verilog Assertion Generation through Subtask-Focused Fine-Tuned LLMs and Iterative Prompting
by: Shahidzadeh, Mohammad, 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)

Dynamics of cadmium-stressed plankton communities
by: Marshall, J. S., Mellinger, D. L
Published: (1977)

Five Years Later: Predicting Student Use of Journals in a New Water Resources Graduate Program
by: Wirth, Andrea A., et al.
Published: (2011)

Updating the psychological case for reparations to African Americans
by: Bryan K. Nichols
Published: (2024)

In it Together: Why the community skills of earth smarts are now a critical part of environmental and scientific education
by: Bryan H. Nichols
Published: (2014)

Rotation-Preserving Supervised Fine-Tuning
by: Jin, Hangzhan, et al.
Published: (2026)

Enhancing Faithfulness in Abstractive Summarization via Span-Level Fine-Tuning
by: Huang, Sicong, et al.
Published: (2025)

DeformTune: A Deformable XAI Music Prototype for Non-Musicians
by: Xu, Ziqing, et al.
Published: (2025)

Unsupervised Summarization Re-ranking
by: Ravaut, Mathieu, et al.
Published: (2022)

Recent Trends in Unsupervised Summarization
by: Khosravani, Mohammad, et al.
Published: (2023)

Technical Report: Full-Stack Fine-Tuning for the Q Programming Language
by: Hogan, Brendan R., et al.
Published: (2025)

Abstractive Text Summarization for Contemporary Sanskrit Prose: Issues and Challenges
by: Sinha, Shagun
Published: (2025)

Filtering Beats Fine Tuning: A Bayesian Kalman View of In Context Learning in LLMs
by: Kiruluta, Andrew
Published: (2026)

12 Tips for Improving Disability Education in Undergraduate Medical Education
by: Tanvee Sinha, et al.
Published: (2025)