:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lin, He-Zhe, Liu, Cheng-Hung, Lin, Chih-Jen
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computation and Language
Online Access:	https://arxiv.org/abs/2410.09554
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Explainable machine learning multi-label classification of Spanish legal judgements
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)

AlleNoise: large-scale text classification benchmark dataset with real-world label noise
by: Rączkowska, Alicja, et al.
Published: (2024)

xKV: Cross-Layer KV-Cache Compression via Aligned Singular Vector Extraction
by: Chang, Chi-Chih, et al.
Published: (2025)

On multi-token prediction for efficient LLM inference
by: Mehra, Somesh, et al.
Published: (2025)

DALLMi: Domain Adaption for LLM-based Multi-label Classifier
by: Beţianu, Miruna, et al.
Published: (2024)

KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation
by: Luo, Xindi, et al.
Published: (2024)

Learning Unsupervised Semantic Document Representation for Fine-grained Aspect-based Sentiment Analysis
by: Fu, Hao-Ming, et al.
Published: (2024)

Efficient Training of Self-Supervised Speech Foundation Models on a Compute Budget
by: Liu, Andy T., et al.
Published: (2024)

Team Trifecta at Factify5WQA: Setting the Standard in Fact Verification with Fine-Tuning
by: Chiang, Shang-Hsuan, et al.
Published: (2024)

MatchXML: An Efficient Text-label Matching Framework for Extreme Multi-label Text Classification
by: Ye, Hui, et al.
Published: (2023)

Computing Pure-Strategy Nash Equilibria in a Two-Party Policy Competition: Existence and Algorithmic Approaches
by: Lin, Chuang-Chieh, et al.
Published: (2025)

Hoeffding adaptive trees for multi-label classification on data streams
by: Esteban, Aurora, et al.
Published: (2024)

A Step-by-step Introduction to the Implementation of Automatic Differentiation
by: Fang, Yu-Hsueh, et al.
Published: (2024)

State Tuning: State-based Test-Time Scaling on RWKV-7
by: Xiao, Liu, et al.
Published: (2025)

Olica: Efficient Structured Pruning of Large Language Models without Retraining
by: He, Jiujun, et al.
Published: (2025)

BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models
by: Ben-Zaken, Elad, et al.
Published: (2021)

Boosting classification reliability of NLP transformer models in the long run
by: Kmetty, Zoltán, et al.
Published: (2023)

Generalized test utilities for long-tail performance in extreme multi-label classification
by: Schultheis, Erik, et al.
Published: (2023)

Multi-label Learning with Random Circular Vectors
by: Nishida, Ken, et al.
Published: (2024)

Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders
by: Wang, Shun, et al.
Published: (2025)

Exploring prompts to elicit memorization in masked language model-based named entity recognition
by: Xia, Yuxi, et al.
Published: (2024)

Automatic explanation of the classification of Spanish legal judgments in jurisdiction-dependent law categories with tree estimators
by: González-González, Jaime, et al.
Published: (2024)

Using Twitter Data to Understand Public Perceptions of Approved versus Off-label Use for COVID-19-related Medications
by: Hua, Yining, et al.
Published: (2022)

Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning
by: Lyu, Chengqi, et al.
Published: (2025)

Scaling behavior of large language models in emotional safety classification across sizes and tasks
by: Pinzuti, Edoardo, et al.
Published: (2025)

MONOVAB : An Annotated Corpus for Bangla Multi-label Emotion Detection
by: Banshal, Sumit Kumar, et al.
Published: (2023)

Boundary-Guided Policy Optimization for Memory-efficient RL of Diffusion Large Language Models
by: Lin, Nianyi, et al.
Published: (2025)

A comparative study of zero-shot inference with large language models and supervised modeling in breast cancer pathology classification
by: Sushil, Madhumita, et al.
Published: (2024)

Zero-shot data citation function classification using transformer-based large language models (LLMs)
by: Byers, Neil, et al.
Published: (2025)

Millions of States: Designing a Scalable MoE Architecture with RWKV-7 Meta-learner
by: Xiao, Liu, et al.
Published: (2025)

Beyond Independent Passages: Adaptive Passage Combination Retrieval for Retrieval Augmented Open-Domain Question Answering
by: Ko, Ting-Wen, et al.
Published: (2025)

Simple linear attention language models balance the recall-throughput tradeoff
by: Arora, Simran, et al.
Published: (2024)

Sample-efficient LLM Optimization with Reset Replay
by: Liu, Zichuan, et al.
Published: (2025)

Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond
by: Wang, Xinyu, et al.
Published: (2024)

Not All LLM-Generated Data Are Equal: Rethinking Data Weighting in Text Classification
by: Kuo, Hsun-Yu, et al.
Published: (2024)

Property Neurons in Self-Supervised Speech Transformers
by: Lin, Tzu-Quan, et al.
Published: (2024)

Interpretable by AI Mother Tongue: Native Symbolic Reasoning in Neural Models
by: Liu, Hung Ming
Published: (2025)

Towards Data-efficient Customer Intent Recognition with Prompt-based Learning Paradigm
by: Luo, Hengyu, et al.
Published: (2023)

Single-image driven 3d viewpoint training data augmentation for effective wine label recognition
by: Huang, Yueh-Cheng, et al.
Published: (2024)

NeuCLIP: Efficient Large-Scale CLIP Training with Neural Normalizer Optimization
by: Wei, Xiyuan, et al.
Published: (2025)