Buchumschlag

A Large Language Model Guided Topic Refinement Mechanism for Short Text Modeling

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Chang, Shuyu, Wang, Rui, Ren, Peng, Wang, Qi, Huang, Haiping
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Computation and Language Artificial Intelligence
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Large Language Models can be Guided to Evade AI-Generated Text Detection
von: Lu, Ning, et al.
Veröffentlicht: (2023)

Assisting Research Proposal Writing with Large Language Models: Evaluation and Refinement
von: Ren, Jing, et al.
Veröffentlicht: (2025)

Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement
von: Xi, Zhiheng, et al.
Veröffentlicht: (2023)

A Comprehensive Study on Quantization Techniques for Large Language Models
von: Lang, Jiedong, et al.
Veröffentlicht: (2024)

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models
von: Cui, Yingqian, et al.
Veröffentlicht: (2025)

Delta -- Contrastive Decoding Mitigates Text Hallucinations in Large Language Models
von: Huang, Cheng Peng, et al.
Veröffentlicht: (2025)

PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models
von: An, Jiyuan, et al.
Veröffentlicht: (2026)

Efficient Post-Training Refinement of Latent Reasoning in Large Language Models
von: Wang, Xinyuan, et al.
Veröffentlicht: (2025)

Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets
von: Xin, Wangjiaxuan, et al.
Veröffentlicht: (2025)

A Comprehensive Evaluation of Large Language Models on Benchmark Biomedical Text Processing Tasks
von: Jahan, Israt, et al.
Veröffentlicht: (2023)

Refining Wikidata Taxonomy using Large Language Models
von: Peng, Yiwen, et al.
Veröffentlicht: (2024)

BeSimulator: A Large Language Model Powered Text-based Behavior Simulator
von: Wang, Jianan, et al.
Veröffentlicht: (2024)

Iterative Translation Refinement with Large Language Models
von: Chen, Pinzhen, et al.
Veröffentlicht: (2023)

Topic Over Source: The Key to Effective Data Mixing for Language Models Pre-training
von: Peng, Jiahui, et al.
Veröffentlicht: (2025)

A Survey on Fairness in Large Language Models
von: Li, Yingji, et al.
Veröffentlicht: (2023)

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

Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models
von: He, Zhiwei, et al.
Veröffentlicht: (2024)

Leveraging Unstructured Text Data for Federated Instruction Tuning of Large Language Models
von: Ye, Rui, et al.
Veröffentlicht: (2024)

Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models
von: Yang, Yukang, et al.
Veröffentlicht: (2025)

Dynamic Topic Evolution with Temporal Decay and Attention in Large Language Models
von: Wu, Di, et al.
Veröffentlicht: (2025)

Towards Efficient Large Language Models for Scientific Text: A Review
von: To, Huy Quoc, et al.
Veröffentlicht: (2024)

Refine Knowledge of Large Language Models via Adaptive Contrastive Learning
von: Li, Yinghui, et al.
Veröffentlicht: (2025)

Auto-Search and Refinement: An Automated Framework for Gender Bias Mitigation in Large Language Models
von: Xu, Yue, et al.
Veröffentlicht: (2025)

QCRD: Quality-guided Contrastive Rationale Distillation for Large Language Models
von: Wang, Wei, et al.
Veröffentlicht: (2024)

STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models
von: Ma, Mingyu Derek, et al.
Veröffentlicht: (2023)

A Survey on Evaluation of Large Language Models
von: Chang, Yupeng, et al.
Veröffentlicht: (2023)

OThink-SRR1: Search, Refine and Reasoning with Reinforced Learning for Large Language Models
von: Liang, Haijian, et al.
Veröffentlicht: (2026)

Efficient Attention Mechanisms for Large Language Models: A Survey
von: Sun, Yutao, et al.
Veröffentlicht: (2025)

When Audio and Text Disagree: Revealing Text Bias in Large Audio-Language Models
von: Wang, Cheng, et al.
Veröffentlicht: (2025)

Investigating Large Language Models and Control Mechanisms to Improve Text Readability of Biomedical Abstracts
von: Li, Zihao, et al.
Veröffentlicht: (2023)

Assessing and Understanding Creativity in Large Language Models
von: Zhao, Yunpu, et al.
Veröffentlicht: (2024)

Enabling Precise Topic Alignment in Large Language Models Via Sparse Autoencoders
von: Joshi, Ananya, et al.
Veröffentlicht: (2025)

A Framework for Real-time Safeguarding the Text Generation of Large Language Model
von: Dong, Ximing, et al.
Veröffentlicht: (2024)

CoT-Driven Framework for Short Text Classification: Enhancing and Transferring Capabilities from Large to Smaller Model
von: Wu, Hui, et al.
Veröffentlicht: (2024)

Discourse Graph Guided Document Translation with Large Language Models
von: Pham, Viet-Thanh, et al.
Veröffentlicht: (2025)

Cequel: Cost-Effective Querying of Large Language Models for Text Clustering
von: Wang, Hongtao, et al.
Veröffentlicht: (2025)

Large Language Models for Automatic Detection of Sensitive Topics
von: Wen, Ruoyu, et al.
Veröffentlicht: (2024)

Genshin: General Shield for Natural Language Processing with Large Language Models
von: Peng, Xiao, et al.
Veröffentlicht: (2024)

Structure Guided Large Language Model for SQL Generation
von: Zhang, Qinggang, et al.
Veröffentlicht: (2024)

GALLa: Graph Aligned Large Language Models for Improved Source Code Understanding
von: Zhang, Ziyin, et al.
Veröffentlicht: (2024)