Cover Image

From Intentions to Techniques: A Comprehensive Taxonomy and Challenges in Text Watermarking for Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lalai, Harsh Nishant, Ramakrishnan, Aashish Anantha, Shah, Raj Sanjay, Lee, Dongwon
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CORDIAL: Can Multimodal Large Language Models Effectively Understand Coherence Relationships?
by: Ramakrishnan, Aashish Anantha, et al.
Published: (2025)

IRONIC: Coherence-Aware Reasoning Chains for Multi-Modal Sarcasm Detection
by: Ramakrishnan, Aashish Anantha, et al.
Published: (2025)

RONA: Pragmatically Diverse Image Captioning with Coherence Relations
by: Ramakrishnan, Aashish Anantha, et al.
Published: (2025)

The World According to LLMs: How Geographic Origin Influences LLMs' Entity Deduction Capabilities
by: Lalai, Harsh Nishant, et al.
Published: (2025)

When Visuals Aren't the Problem: Evaluating Vision-Language Models on Misleading Data Visualizations
by: Lalai, Harsh Nishant, et al.
Published: (2026)

Generative Active Testing: Efficient LLM Evaluation via Proxy Task Adaptation
by: Ramakrishnan, Aashish Anantha, et al.
Published: (2026)

Beyond speculation: Measuring the growing presence of LLM-generated texts in multilingual disinformation
by: Macko, Dominik, et al.
Published: (2025)

ANNA: Abstractive Text-to-Image Synthesis with Filtered News Captions
by: Ramakrishnan, Aashish Anantha, et al.
Published: (2023)

ANCHOR: LLM-driven Subject Conditioning for Text-to-Image Synthesis
by: Ramakrishnan, Aashish Anantha, et al.
Published: (2024)

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

The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories
by: Shah, Raj Sanjay, et al.
Published: (2025)

Semantic Consistency for Assuring Reliability of Large Language Models
by: Raj, Harsh, et al.
Published: (2023)

From Text to Transformation: A Comprehensive Review of Large Language Models' Versatility
by: Kaur, Pravneet, et al.
Published: (2024)

Techniques to Improve Q&A Accuracy with Transformer-based models on Large Complex Documents
by: Liao, Chejui, et al.
Published: (2020)

A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future
by: Zhong, Jialun, et al.
Published: (2025)

Benchmarking Open-Source Safety Guard Models: A Comprehensive Evaluation
by: Harsh, Reetu Raj, et al.
Published: (2026)

On Fairness of Unified Multimodal Large Language Model for Image Generation
by: Liu, Ming, et al.
Published: (2025)

A Code Comprehension Benchmark for Large Language Models for Code
by: Havare, Jayant, et al.
Published: (2025)

Long-Tail Knowledge in Large Language Models: Taxonomy, Mechanisms, Interventions and Implications
by: Badhe, Sanket, et al.
Published: (2026)

How Well Do Deep Learning Models Capture Human Concepts? The Case of the Typicality Effect
by: Vemuri, Siddhartha K., et al.
Published: (2024)

Cross-Attention Watermarking of Large Language Models
by: Baldassini, Folco Bertini, et al.
Published: (2024)

A Comprehensive Survey of Accelerated Generation Techniques in Large Language Models
by: Khoshnoodi, Mahsa, et al.
Published: (2024)

A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models
by: Geng, Jiahui, et al.
Published: (2025)

Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models
by: Ramakrishnan, Badrinath, et al.
Published: (2025)

Pre-training LLMs using human-like development data corpus
by: Bhardwaj, Khushi, et al.
Published: (2023)

A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions
by: Shorinwa, Ola, et al.
Published: (2024)

BanglaLorica: Design and Evaluation of a Robust Watermarking Algorithm for Large Language Models in Bangla Text Generation
by: Tariqul, Amit Bin, et al.
Published: (2026)

LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles
by: Ng, Ho Yin 'Sam', et al.
Published: (2025)

A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks
by: Vatsal, Shubham, et al.
Published: (2024)

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

From No to Know: Taxonomy, Challenges, and Opportunities for Negation Understanding in Multimodal Foundation Models
by: Vatsa, Mayank, et al.
Published: (2025)

ZK-WAGON: Imperceptible Watermark for Image Generation Models using ZK-SNARKs
by: Ramakrishnan, Aadarsh Anantha, et al.
Published: (2025)

BiMark: Unbiased Multilayer Watermarking for Large Language Models
by: Feng, Xiaoyan, et al.
Published: (2025)

SQLBench: A Comprehensive Evaluation for Text-to-SQL Capabilities of Large Language Models
by: Zhang, Bin, et al.
Published: (2024)

FoodTaxo: Generating Food Taxonomies with Large Language Models
by: Wullschleger, Pascal, et al.
Published: (2025)

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques
by: Aly, Walid Mohamed, et al.
Published: (2025)

CORRECT: Context- and Reference-Augmented Reasoning and Prompting for Fact-Checking
by: Zhang, Delvin Ce, et al.
Published: (2025)

Transformer-Based Extraction of Statutory Definitions from the U.S. Code
by: Hosabettu, Arpana, et al.
Published: (2025)

Are Large Language Models a Good Replacement of Taxonomies?
by: Sun, Yushi, et al.
Published: (2024)

Embedding Retrofitting: Data Engineering for better RAG
by: Sharma, Anantha
Published: (2026)