:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Song, Junhao, Yuan, Yingfang, Chang, Kaiwen, Xu, Bing, Xuan, Jin, Pang, Wei
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Machine Learning
Online Access:	https://arxiv.org/abs/2405.10452
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SAIS: A Novel Bio-Inspired Artificial Immune System Based on Symbiotic Paradigm
by: Song, Junhao, et al.
Published: (2024)

Refining Dimensions for Improving Clustering-based Cross-lingual Topic Models
by: Chang, Chia-Hsuan, et al.
Published: (2024)

DiffETM: Diffusion Process Enhanced Embedded Topic Model
by: Shao, Wei, et al.
Published: (2025)

ROAST: Rollout-based On-distribution Activation Steering Technique
by: Su, Xuanbo, et al.
Published: (2026)

A History of Philosophy in Colombia through Topic Modelling
by: Loaiza, Juan R., et al.
Published: (2024)

Why Softmax Attention Outperforms Linear Attention
by: Deng, Yichuan, et al.
Published: (2023)

Topic Modeling in Marathi
by: Shinde, Sanket, et al.
Published: (2025)

SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters
by: Xiao, Teng, et al.
Published: (2025)

Don't Shoot The Breeze: Topic Continuity Model Using Nonlinear Naive Bayes With Attention
by: Pi, Shu-Ting, et al.
Published: (2026)

Exploring Anti-Aging Literature via ConvexTopics and Large Language Models
by: Yeganova, Lana E., et al.
Published: (2026)

A Graph-Retrieval-Augmented Generation Framework Enhances Decision-Making in the Circular Economy
by: Zhao, Yang, et al.
Published: (2025)

Causal Attention with Lookahead Keys
by: Song, Zhuoqing, et al.
Published: (2025)

Hyperparameter Loss Surfaces Are Simple Near their Optima
by: Lourie, Nicholas, et al.
Published: (2025)

Dynamics of Spontaneous Topic Changes in Next Token Prediction with Self-Attention
by: Jia, Mumin, et al.
Published: (2025)

Self-Supervised Learning for Neural Topic Models with Variance-Invariance-Covariance Regularization
by: Xu, Weiran, et al.
Published: (2025)

ScaleNet: Scale Invariance Learning in Directed Graphs
by: Jiang, Qin, et al.
Published: (2024)

RedTopic: Toward Topic-Diverse Red Teaming of Large Language Models
by: Ding, Jiale, et al.
Published: (2025)

A Unified Framework to Classify Business Activities into International Standard Industrial Classification through Large Language Models for Circular Economy
by: Li, Xiang, et al.
Published: (2024)

Probabilistic Topic Modelling with Transformer Representations
by: Reuter, Arik, et al.
Published: (2024)

Selective Attention: Enhancing Transformer through Principled Context Control
by: Zhang, Xuechen, et al.
Published: (2024)

LimTopic: LLM-based Topic Modeling and Text Summarization for Analyzing Scientific Articles limitations
by: Azhar, Ibrahim Al, et al.
Published: (2025)

Mixture of Experts in Large Language Models
by: Zhang, Danyang, et al.
Published: (2025)

Exploring the impact of Optimised Hyperparameters on Bi-LSTM-based Contextual Anomaly Detector
by: Toor, Aafan Ahmad, et al.
Published: (2025)

Sliding Window Attention Training for Efficient Large Language Models
by: Fu, Zichuan, et al.
Published: (2025)

Topics as Entity Clusters: Entity-based Topics from Large Language Models and Graph Neural Networks
by: Loureiro, Manuel V., et al.
Published: (2023)

GINopic: Topic Modeling with Graph Isomorphism Network
by: Adhya, Suman, et al.
Published: (2024)

Topic Modelling: Going Beyond Token Outputs
by: Williams, Lowri, et al.
Published: (2024)

CAT: Circular-Convolutional Attention for Sub-Quadratic Transformers
by: Yamada, Yoshihiro
Published: (2025)

Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging
by: Lu, Zhenyi, et al.
Published: (2024)

AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs
by: Ebrahimi, Sana, et al.
Published: (2024)

Leveraging Large Language Models and Topic Modeling for Toxicity Classification
by: Oskouie, Haniyeh Ehsani, et al.
Published: (2024)

Quantifying the Cross-sectoral Intersecting Discrepancies within Multiple Groups Using Latent Class Analysis Towards Fairness
by: Yuan, Yingfang, et al.
Published: (2024)

Combining Automated Optimisation of Hyperparameters and Reward Shape
by: Dierkes, Julian, et al.
Published: (2024)

Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models
by: Hameed, Saad, et al.
Published: (2025)

Decoding Decoded: Understanding Hyperparameter Effects in Open-Ended Text Generation
by: Arias, Esteban Garces, et al.
Published: (2024)

Topic Modeling with Fine-tuning LLMs and Bag of Sentences
by: Schneider, Johannes
Published: (2024)

CEMTM: Contextual Embedding-based Multimodal Topic Modeling
by: Abaskohi, Amirhossein, et al.
Published: (2025)

Semiparametric Latent Topic Modeling on Consumer-Generated Corpora
by: Dayta, Dominic B., et al.
Published: (2021)

Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs
by: Zhang, Xuan, et al.
Published: (2024)

Cache & Distil: Optimising API Calls to Large Language Models
by: Ramírez, Guillem, et al.
Published: (2023)