Papers
Fine-tuning Large Language Models for Improving Factuality in Legal Question Answering
Yinghao Hu, Leilei Gan, Wenyi Xiao et al.
Fine-Tuning Large Language Models for Relation Extraction within a Retrieval-Augmented Generation Framework
Sefika Efeoglu, Adrian Paschke
Fine-Tuning Large Language Models with Sequential Instructions
Hanxu Hu, Simon Yu, Pinzhen Chen et al.
Finetuning LLMs for Comparative Assessment Tasks
Vatsal Raina, Adian Liusie, Mark Gales
Finetuning LLMs for EvaCun 2025 token prediction shared task
Josef Jon, Ondřej Bojar
Finetuning LLMs for Human Behavior Prediction in Social Science Experiments
Akaash Kolluri, Shengguang Wu, Joon Sung Park et al.
Fine-tuning LLMs to Extract Epilepsy Seizure Frequency Data from Health Records
Ben Holgate, Joe Davies, Shichao Fang et al.
Fine-tuning LLMs with Cross-Attention-based Weight Decay for Bias Mitigation
Farsheed Haque, Zhe Fu, Depeng Xu et al.
Fine-Tuning Lowers Safety and Disrupts Evaluation Consistency
Kathleen C. Fraser, Hillary Dawkins, Isar Nejadgholi et al.
Fine-Tuning Medium-Scale LLMs for Joint Intent Classification and Slot Filling: A Data-Efficient and Cost-Effective Solution for SMEs
Maia Aguirre, Ariane Méndez, Arantza del Pozo et al.
Fine-tuning NMT Models and LLMs for Specialised EN-ES Translation Using Aligned Corpora, Glossaries, and Synthetic Data: MULTITAN at WMT25 Terminology Shared Task
Lichao Zhu, Maria Zimina-Poirot, Cristian Valdez et al.
Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs
Haritz Puerto, Tilek Chubakov, Xiaodan Zhu et al.
Fine-Tuning on Noisy Instructions: Effects on Generalization and Performance
Ahmed Alajrami, Xingwei Tan, Nikolaos Aletras
Fine-Tuning on Noisy Instructions: Effects on Generalization and Performance
Ahmed Alajrami, Xingwei Tan, Nikolaos Aletras
Finetuning Pre-trained Language Models for Bidirectional Sign Language Gloss to Text Translation
Arshia Kermani, Habib Irani, Vangelis Metsis
Finetuning Pre-trained Language Models for Bidirectional Sign Language Gloss to Text Translation
Arshia Kermani, Habib Irani, Vangelis Metsis
Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
Moo Jin Kim, Chelsea Finn, Percy Liang
Fine-Tuning Visual Autogressive Models for Subject-Driven Generation
Jiwoo Chung, Sangeek Hyun, Hyunjun Kim et al.
Fine-Tuning vs Prompting Techniques for Gender-Fair Rewriting of Machine Translations
Paolo Mainardi, Federico Garcea, Alberto Barrón-Cedeño
Fine-tuning Whisper Tiny for Swahili ASR: Challenges and Recommendations for Low-Resource Speech Recognition
Avinash Kumar Sharma, Manas Pandya, Arpit Shukla
Fine-tuning with Reserved Majority for Noise Reduction
Shuyang Jiang, Yusheng Liao, Ya Zhang et al.
Fine-tuning XLM-RoBERTa for Named Entity Recognition in Kurmanji Kurdish
Akam Nawzad, Hossein Hassani
FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models
Xin Guo, Haotian Xia, Zhaowei Liu et al.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment
Huiyu Duan, Qiang Hu, Jiarui Wang et al.
Fin-ExBERT: User Intent based Text Extraction in Financial Context using Graph-Augmented BERT and trainable Plugin
Soumick Sarker, Abhijit Kumar Rai