:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Nguyen, Binh-Nguyen, He, Yang
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2501.02432
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Distributional Surgery for Language Model Activations
by: Nguyen, Bao, et al.
Published: (2025)

Human-Guided Reasoning with Large Language Models for Vietnamese Speech Emotion Recognition
by: Nguyen, Truc, et al.
Published: (2026)

New Benchmark Dataset and Fine-Grained Cross-Modal Fusion Framework for Vietnamese Multimodal Aspect-Category Sentiment Analysis
by: Nguyen, Quy Hoang, et al.
Published: (2024)

A New Benchmark Dataset and Mixture-of-Experts Language Models for Adversarial Natural Language Inference in Vietnamese
by: Van Huynh, Tin, et al.
Published: (2024)

ViConBERT: Context-Gloss Aligned Vietnamese Word Embedding for Polysemous and Sense-Aware Representations
by: Huynh, Khang T., et al.
Published: (2025)

Natural Language Fine-Tuning
by: Liu, Jia, et al.
Published: (2024)

ViCLSR: A Supervised Contrastive Learning Framework with Natural Language Inference for Natural Language Understanding Tasks
by: Van Huynh, Tin, et al.
Published: (2026)

Task-driven Layerwise Additive Activation Intervention
by: Nguyen, Hieu Trung, et al.
Published: (2025)

VLUE: A New Benchmark and Multi-task Knowledge Transfer Learning for Vietnamese Natural Language Understanding
by: Do, Phong Nguyen-Thuan, et al.
Published: (2024)

Exploring Fine-Tuning of Large Audio Language Models for Spoken Language Understanding under Limited Speech Data
by: Choi, Youngwon, et al.
Published: (2025)

Fine-Tuning Medical Language Models for Enhanced Long-Contextual Understanding and Domain Expertise
by: Yang, Qimin, et al.
Published: (2024)

Structured Pruning for Diverse Best-of-N Reasoning Optimization
by: Nguyen, Hieu Trung, et al.
Published: (2025)

Rephrase and Contrast: Fine-Tuning Language Models for Enhanced Understanding of Communication and Computer Networks
by: Wang, Liujianfu, et al.
Published: (2024)

MSA-ASR: Efficient Multilingual Speaker Attribution with frozen ASR Models
by: Nguyen, Thai-Binh, et al.
Published: (2024)

Convoifilter: A case study of doing cocktail party speech recognition
by: Nguyen, Thai-Binh, et al.
Published: (2023)

Automatic Pruning of Fine-tuning Datasets for Transformer-based Language Models
by: Tayaranian, Mohammadreza, et al.
Published: (2024)

FTFT: Efficient and Robust Fine-Tuning by Transferring Training Dynamics
by: Du, Yupei, et al.
Published: (2023)

NLP Datasets for Idiom and Figurative Language Tasks
by: Matheny, Blake, et al.
Published: (2025)

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models
by: Ruan, Zhiwen, et al.
Published: (2026)

Enhancing Large Language Model Reasoning via Selective Critical Token Fine-Tuning
by: Ruan, Zhiwen, et al.
Published: (2025)

Transformer-Based Contextualized Language Models Joint with Neural Networks for Natural Language Inference in Vietnamese
by: Nguyen, Dat Van-Thanh, et al.
Published: (2024)

Prompt Tuning for Natural Language to SQL with Embedding Fine-Tuning and RAG
by: Jang, Jisoo, et al.
Published: (2025)

A Study of the Plausibility of Attention between RNN Encoders in Natural Language Inference
by: Nguyen, Duc Hau, et al.
Published: (2025)

Characterizing and Understanding Energy Footprint and Efficiency of Small Language Model on Edges
by: Islam, Md Romyull, et al.
Published: (2025)

LLM-XTM: Enhancing Cross-Lingual Topic Models with Large Language Models
by: Xuan, Minh Chu, et al.
Published: (2026)

O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning
by: Luo, Haotian, et al.
Published: (2025)

The Reasoning Boundary Paradox: How Reinforcement Learning Constrains Language Models
by: Nguyen, Phuc Minh, et al.
Published: (2025)

Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification
by: Shui, Zeren, et al.
Published: (2024)

Tracing the Evolution of Word Embedding Techniques in Natural Language Processing
by: Nguyen, Minh Anh, et al.
Published: (2026)

Winning the Pruning Gamble: A Unified Approach to Joint Sample and Token Pruning for Efficient Supervised Fine-Tuning
by: Wang, Shaobo, et al.
Published: (2025)

Cocktail-Party Audio-Visual Speech Recognition
by: Nguyen, Thai-Binh, et al.
Published: (2025)

FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models
by: Gao, Yan, et al.
Published: (2025)

Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning
by: Gu, Naibin, et al.
Published: (2024)

Fusionista2.0: Efficiency Retrieval System for Large-Scale Datasets
by: Le, Huy M., et al.
Published: (2025)

ViCocktail: Automated Multi-Modal Data Collection for Vietnamese Audio-Visual Speech Recognition
by: Nguyen, Thai-Binh, et al.
Published: (2025)

Fact4ac at the Financial Misinformation Detection Challenge Task: Reference-Free Financial Misinformation Detection via Fine-Tuning and Few-Shot Prompting of Large Language Models
by: Hoang, Cuong, et al.
Published: (2026)

Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models
by: Mekala, Dheeraj, et al.
Published: (2024)

BMX: Boosting Natural Language Generation Metrics with Explainability
by: Leiter, Christoph, et al.
Published: (2022)

From Macro to Micro: Probing Dataset Diversity in Language Model Fine-Tuning
by: Li, Haoyu, et al.
Published: (2025)

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks
by: Hu, Jiacheng, et al.
Published: (2024)