Cover Image

Prior Prompt Engineering for Reinforcement Fine-Tuning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Taveekitworachai, Pittawat, Manakul, Potsawee, Nutanong, Sarana, Pipatanakul, Kunat
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe
by: Pipatanakul, Kunat, et al.
Published: (2025)

Typhoon T1: An Open Thai Reasoning Model
by: Taveekitworachai, Pittawat, et al.
Published: (2025)

Extending Audio Context for Long-Form Understanding in Large Audio-Language Models
by: Chaichana, Yuatyong, et al.
Published: (2025)

Typhoon-S: Minimal Open Post-Training for Sovereign Large Language Models
by: Pipatanakul, Kunat, et al.
Published: (2026)

Talk Less, Call Right: Enhancing Role-Play LLM Agents with Automatic Prompt Optimization and Role Prompting
by: Ruangtanusak, Saksorn, et al.
Published: (2025)

FinCoT: Grounding Chain-of-Thought in Expert Financial Reasoning
by: Nitarach, Natapong, et al.
Published: (2025)

Formula-One Prompting: A Composable Equation-First Prefix for Applied Mathematics
by: Nitarach, Natapong, et al.
Published: (2026)

Typhoon ASR Real-time: FastConformer-Transducer for Thai Automatic Speech Recognition
by: Sirichotedumrong, Warit, et al.
Published: (2026)

Enhancing Low-Resource Language and Instruction Following Capabilities of Audio Language Models
by: Manakul, Potsawee, et al.
Published: (2024)

Typhoon 2: A Family of Open Text and Multimodal Thai Large Language Models
by: Pipatanakul, Kunat, et al.
Published: (2024)

Typhoon OCR: Open Vision-Language Model For Thai Document Extraction
by: Nonesung, Surapon, et al.
Published: (2026)

On the Robustness of Answer Formats in Medical Reasoning Models
by: Taveekitworachai, Pittawat, et al.
Published: (2025)

Large Language Models are Null-Shot Learners
by: Taveekitworachai, Pittawat, et al.
Published: (2024)

CrossCheckGPT: Universal Hallucination Ranking for Multimodal Foundation Models
by: Sun, Guangzhi, et al.
Published: (2024)

Assessing Thai Dialect Performance in LLMs with Automatic Benchmarks and Human Evaluation
by: Limkonchotiwat, Peerat, et al.
Published: (2025)

Mangosteen: An Open Thai Corpus for Language Model Pretraining
by: Phatthiyaphaibun, Wannaphong, et al.
Published: (2025)

Multiverse of Greatness: Generating Story Branches with LLMs
by: Taveekitworachai, Pittawat, et al.
Published: (2024)

Mind the Gap! Static and Interactive Evaluations of Large Audio Models
by: Li, Minzhi, et al.
Published: (2025)

Towards Better Understanding of Program-of-Thought Reasoning in Cross-Lingual and Multilingual Environments
by: Payoungkhamdee, Patomporn, et al.
Published: (2025)

AudioJudge: Understanding What Works in Large Audio Model Based Speech Evaluation
by: Manakul, Potsawee, et al.
Published: (2025)

WangchanLion and WangchanX MRC Eval
by: Phatthiyaphaibun, Wannaphong, et al.
Published: (2024)

Using LLMs for Automated Privacy Policy Analysis: Prompt Engineering, Fine-Tuning and Explainability
by: Chen, Yuxin, et al.
Published: (2025)

PAFT: Prompt-Agnostic Fine-Tuning
by: Wei, Chenxing, et al.
Published: (2025)

ChatGPT4PCG Competition: Character-like Level Generation for Science Birds
by: Taveekitworachai, Pittawat, et al.
Published: (2023)

Why Reinforcement Fine-Tuning Enables MLLMs Preserve Prior Knowledge Better: A Data Perspective
by: Zhang, Zhihao, et al.
Published: (2025)

Automatic Prompt Engineering with No Task Cues and No Tuning
by: Chowdhury, Faisal, et al.
Published: (2026)

Addressing Topic Leakage in Cross-Topic Evaluation for Authorship Verification
by: Sawatphol, Jitkapat, 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)

State of the Art in Text Classification for South Slavic Languages: Fine-Tuning or Prompting?
by: Pungeršek, Taja Kuzman, et al.
Published: (2025)

Prompting and Fine-Tuning Open-Sourced Large Language Models for Stance Classification
by: Cruickshank, Iain J., et al.
Published: (2023)

Instruction Fine-Tuning: Does Prompt Loss Matter?
by: Huerta-Enochian, Mathew, et al.
Published: (2024)

Are Smarter LLMs Safer? Exploring Safety-Reasoning Trade-offs in Prompting and Fine-Tuning
by: Li, Ang, et al.
Published: (2025)

Supervised Fine-Tuning as Inverse Reinforcement Learning
by: Sun, Hao
Published: (2024)

LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models
by: Liusie, Adian, et al.
Published: (2023)

Comparing LLM and Fine-Tuned Model Performance on NVDRS Circumstance Extraction with Varying Prompt Complexity
by: Martin, Geoffrey, et al.
Published: (2026)

ThaiSafetyBench: Assessing Language Model Safety in Thai Cultural Contexts
by: Ukarapol, Trapoom, et al.
Published: (2026)

ClaimIQ at CheckThat! 2025: Comparing Prompted and Fine-Tuned Language Models for Verifying Numerical Claims
by: Anik, Anirban Saha, et al.
Published: (2025)

LLMs for Explainable Business Decision-Making: A Reinforcement Learning Fine-Tuning Approach
by: Cheng, Xiang, et al.
Published: (2025)

Unlearning vs. Obfuscation: Are We Truly Removing Knowledge?
by: Sun, Guangzhi, et al.
Published: (2025)

Blending Supervised and Reinforcement Fine-Tuning with Prefix Sampling
by: Huang, Zeyu, et al.
Published: (2025)