:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lamott, Marcel, Shakir, Muhammad Armaghan
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Machine Learning
Online Access:	https://arxiv.org/abs/2409.11282
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LAPDoc: Layout-Aware Prompting for Documents
by: Lamott, Marcel, et al.
Published: (2024)

Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models
by: Wang, Xindi, et al.
Published: (2024)

DocDjinn: Controllable Synthetic Document Generation with VLMs and Handwriting Diffusion
by: Lamott, Marcel, et al.
Published: (2026)

Memory-Augmented Transformers: A Systematic Review from Neuroscience Principles to Enhanced Model Architectures
by: Omidi, Parsa, et al.
Published: (2025)

BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques
by: Kabir, Muhammad Rafsan, et al.
Published: (2024)

Understanding Structured Financial Data with LLMs: A Case Study on Fraud Detection
by: Tan, Xuwei, et al.
Published: (2025)

Leveraging Parameter Efficient Training Methods for Low Resource Text Classification: A Case Study in Marathi
by: Deshmukh, Pranita, et al.
Published: (2024)

Leveraging Domain Knowledge for Efficient Reward Modelling in RLHF: A Case-Study in E-Commerce Opinion Summarization
by: Nath, Swaroop, et al.
Published: (2024)

Leveraging Zero-Shot Prompting for Efficient Language Model Distillation
by: Vöge, Lukas, et al.
Published: (2024)

Advancing Exchange Rate Forecasting: Leveraging Machine Learning and AI for Enhanced Accuracy in Global Financial Markets
by: Rahat, Md. Yeasin, et al.
Published: (2025)

Meta-Tuning LLMs to Leverage Lexical Knowledge for Generalizable Language Style Understanding
by: Guo, Ruohao, et al.
Published: (2023)

ToolFactory: Automating Tool Generation by Leveraging LLM to Understand REST API Documentations
by: Ni, Xinyi, et al.
Published: (2025)

Can We Use Probing to Better Understand Fine-tuning and Knowledge Distillation of the BERT NLU?
by: Hościłowicz, Jakub, et al.
Published: (2023)

Document Understanding, Measurement, and Manipulation Using Category Theory
by: Claypoole, Jared, et al.
Published: (2025)

AI-Generated Text Detection in Low-Resource Languages: A Case Study on Urdu
by: Ammar, Muhammad, et al.
Published: (2025)

Exploring Ordinality in Text Classification: A Comparative Study of Explicit and Implicit Techniques
by: Kasa, Siva Rajesh, et al.
Published: (2024)

Exploring the Limits of Model Compression in LLMs: A Knowledge Distillation Study on QA Tasks
by: Datta, Joyeeta, et al.
Published: (2025)

Leveraging Large Language Models for Automated Causal Loop Diagram Generation: Enhancing System Dynamics Modeling through Curated Prompting Techniques
by: Liu, Ning-Yuan Georgia, et al.
Published: (2025)

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning
by: Paul, Bidyarthi, et al.
Published: (2025)

Neural Sequence-to-Sequence Modeling with Attention by Leveraging Deep Learning Architectures for Enhanced Contextual Understanding in Abstractive Text Summarization
by: Challagundla, Bhavith Chandra, et al.
Published: (2024)

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation
by: Chen, Jennifer, et al.
Published: (2025)

Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models
by: Zhao, Siyan, et al.
Published: (2026)

BitNet Distillation
by: Wu, Xun, et al.
Published: (2025)

Self-Distilled RLVR
by: Yang, Chenxu, et al.
Published: (2026)

DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation
by: Maekawa, Aru, et al.
Published: (2024)

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

Understanding Post-hoc Explainers: The Case of Anchors
by: Lopardo, Gianluigi, et al.
Published: (2023)

Leveraging Logical Rules in Knowledge Editing: A Cherry on the Top
by: Cheng, Keyuan, et al.
Published: (2024)

Enhancing Clinical Documentation with Synthetic Data: Leveraging Generative Models for Improved Accuracy
by: Biswas, Anjanava, et al.
Published: (2024)

Breaking MLPerf Training: A Case Study on Optimizing BERT
by: Kim, Yongdeok, et al.
Published: (2024)

Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features
by: Bombari, Simone, et al.
Published: (2024)

Knowledge Distillation with Training Wheels
by: Liu, Guanlin, et al.
Published: (2025)

Trust Region On-Policy Distillation
by: Xing, Xingrun, et al.
Published: (2026)

A Survey of On-Policy Distillation for Large Language Models
by: Song, Mingyang, et al.
Published: (2026)

Knowledge Distillation and Dataset Distillation of Large Language Models: Emerging Trends, Challenges, and Future Directions
by: Fang, Luyang, et al.
Published: (2025)

Sociolinguistically Informed Interpretability: A Case Study on Hinglish Emotion Classification
by: Tatariya, Kushal, et al.
Published: (2024)

LLM Library Learning Fails: A LEGO-Prover Case Study
by: Berlot-Attwell, Ian, et al.
Published: (2025)

Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation
by: Yoo, YoungJoon, et al.
Published: (2023)

Leverage Unlearning to Sanitize LLMs
by: Boutet, Antoine, et al.
Published: (2025)

Leveraging the true depth of LLMs
by: González, Ramón Calvo, et al.
Published: (2025)