Cover Image

A Sea of Words: An In-Depth Analysis of Anchors for Text Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lopardo, Gianluigi, Precioso, Frederic, Garreau, Damien
Format:	Preprint
Published:	2022
Subjects:	Machine Learning Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Comparing Feature Importance and Rule Extraction for Interpretability on Text Data
by: Lopardo, Gianluigi, et al.
Published: (2022)

Attention Meets Post-hoc Interpretability: A Mathematical Perspective
by: Lopardo, Gianluigi, et al.
Published: (2024)

Faithful and Robust Local Interpretability for Textual Predictions
by: Lopardo, Gianluigi, et al.
Published: (2023)

WolBanking77: Wolof Banking Speech Intent Classification Dataset
by: Kandji, Abdou Karim, et al.
Published: (2025)

AdvAnchor: Enhancing Diffusion Model Unlearning with Adversarial Anchors
by: Zhao, Mengnan, et al.
Published: (2024)

Do Depth-Grown Models Overcome the Curse of Depth? An In-Depth Analysis
by: Kapl, Ferdinand, et al.
Published: (2025)

Reinforcement Learning with Rubric Anchors
by: Huang, Zenan, et al.
Published: (2025)

MMD-Flagger: Leveraging Maximum Mean Discrepancy to Detect Hallucinations
by: Mitsuzawa, Kensuke, et al.
Published: (2025)

On Evaluation Protocols for Data Augmentation in a Limited Data Scenario
by: Piedboeuf, Frédéric, et al.
Published: (2024)

Guided Perturbation Sensitivity (GPS): Detecting Adversarial Text via Embedding Stability and Word Importance
by: Tuck, Bryan E., et al.
Published: (2025)

Magic Words or Methodical Work? Challenging Conventional Wisdom in LLM-Based Political Text Annotation
by: McLaren, Lorcan, et al.
Published: (2026)

RKadiyala at SemEval-2024 Task 8: Black-Box Word-Level Text Boundary Detection in Partially Machine Generated Texts
by: Kadiyala, Ram Mohan Rao
Published: (2024)

SAGE: Shaping Anchors for Guided Exploration in RLVR of LLMs
by: Lee, Chanuk, et al.
Published: (2026)

Constraining Sequential Model Editing with Editing Anchor Compression
by: Xu, Hao-Xiang, et al.
Published: (2025)

Thought Anchors: Which LLM Reasoning Steps Matter?
by: Bogdan, Paul C., et al.
Published: (2025)

Laying Anchors: Semantically Priming Numerals in Language Modeling
by: Sharma, Mandar, et al.
Published: (2024)

Thinking in Latents: Adaptive Anchor Refinement for Implicit Reasoning in LLMs
by: Sheshanarayana, Disha, et al.
Published: (2026)

A Systematic Review of Data-to-Text NLG
by: Osuji, Chinonso Cynthia, et al.
Published: (2024)

Semantic Anchors in In-Context Learning: Why Small LLMs Cannot Flip Their Labels
by: Kumar, Anantha Padmanaban Krishna
Published: (2025)

Jailbreaking LLMs' Safeguard with Universal Magic Words for Text Embedding Models
by: Liang, Haoyu, et al.
Published: (2025)

Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Sampling
by: Shi, Yuhui, et al.
Published: (2024)

GLEAMS: Bridging the Gap Between Local and Global Explanations
by: Visani, Giorgio, et al.
Published: (2024)

Word Embeddings Are Steers for Language Models
by: Han, Chi, et al.
Published: (2023)

Text2Data: Low-Resource Data Generation with Textual Control
by: Wang, Shiyu, et al.
Published: (2024)

DepthCharge: A Domain-Agnostic Framework for Measuring Depth-Dependent Knowledge in Large Language Models
by: Sheppert, Alexander
Published: (2026)

Static Word Embeddings for Sentence Semantic Representation
by: Wada, Takashi, et al.
Published: (2025)

Explicit Word Density Estimation for Language Modelling
by: Andonov, Jovan, et al.
Published: (2024)

How to Synthesize Text Data without Model Collapse?
by: Zhu, Xuekai, et al.
Published: (2024)

Towards Understanding Steering Strength
by: Taimeskhanov, Magamed, et al.
Published: (2026)

The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators
by: Huang, Tzu-Heng, et al.
Published: (2024)

Rapid Word Learning Through Meta In-Context Learning
by: Wang, Wentao, et al.
Published: (2025)

Edeflip: Supervised Word Translation between English and Yoruba
by: Abioye, Ikeoluwa, et al.
Published: (2025)

Text Detoxification: Data Efficiency, Semantic Preservation and Model Generalization
by: Yu, Jing, et al.
Published: (2025)

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach
by: Li, Jiyao, et al.
Published: (2024)

Same Question, Different Words: A Latent Adversarial Framework for Prompt Robustness
by: Fu, Tingchen, et al.
Published: (2025)

Visualising Information Flow in Word Embeddings with Diffusion Tensor Imaging
by: Fabian, Thomas
Published: (2026)

Explaining Datasets in Words: Statistical Models with Natural Language Parameters
by: Zhong, Ruiqi, et al.
Published: (2024)

Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words
by: Minegishi, Gouki, et al.
Published: (2025)

Augmenting Math Word Problems via Iterative Question Composing
by: Liu, Haoxiong, et al.
Published: (2024)