Cover Image

Independence Tests for Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhu, Sally, Ahmed, Ahmed, Kuditipudi, Rohith, Liang, Percy
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Blackbox Model Provenance via Palimpsestic Membership Inference
by: Kuditipudi, Rohith, et al.
Published: (2025)

Robust Distortion-free Watermarks for Language Models
by: Kuditipudi, Rohith, et al.
Published: (2023)

Auditing Prompt Caching in Language Model APIs
by: Gu, Chenchen, et al.
Published: (2025)

Extracting books from production language models
by: Ahmed, Ahmed, et al.
Published: (2026)

Self-Verified Distillation: Your Language Model Is Secretly Its Own Synthetic Data Pipeline
by: Lee, Tony, et al.
Published: (2026)

On the Entropy Calibration of Language Models
by: Cao, Steven, et al.
Published: (2025)

Replaying pre-training data improves fine-tuning
by: Kotha, Suhas, et al.
Published: (2026)

On the Learnability of Watermarks for Language Models
by: Gu, Chenchen, et al.
Published: (2023)

Resampling methods for private statistical inference
by: Chadha, Karan, et al.
Published: (2024)

Analyzing Fairness of Computer Vision and Natural Language Processing Models
by: Rashed, Ahmed, et al.
Published: (2024)

Beyond Extraction: Contextualising Tabular Data for Efficient Summarisation by Language Models
by: Allu, Uday, et al.
Published: (2024)

Parallel Sampling from Masked Diffusion Models via Conditional Independence Testing
by: Azangulov, Iskander, et al.
Published: (2025)

Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training
by: Liu, Hong, et al.
Published: (2023)

Extracting memorized pieces of (copyrighted) books from open-weight language models
by: Cooper, A. Feder, et al.
Published: (2025)

Towards Linguistically-Aware and Language-Independent Tokenization for Large Language Models (LLMs)
by: Rahman, Abrar, et al.
Published: (2024)

Guaranteed Guess: A Language Modeling Approach for CISC-to-RISC Transpilation with Testing Guarantees
by: Heakl, Ahmed, et al.
Published: (2025)

The Curious Language Model: Strategic Test-Time Information Acquisition
by: Cooper, Michael, et al.
Published: (2025)

Bayesian Mixture of Experts For Large Language Models
by: Dialameh, Maryam, et al.
Published: (2025)

Sentiment Classification of Gaza War Headlines: A Comparative Analysis of Large Language Models and Arabic Fine-Tuned BERT Models
by: Eleraqi, Amr, et al.
Published: (2026)

Quantifying the Effect of Test Set Contamination on Generative Evaluations
by: Schaeffer, Rylan, et al.
Published: (2026)

DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
by: Gao, Shangqian, et al.
Published: (2024)

ResumeAtlas: Revisiting Resume Classification with Large-Scale Datasets and Large Language Models
by: Heakl, Ahmed, et al.
Published: (2024)

Eliciting Language Model Behaviors with Investigator Agents
by: Li, Xiang Lisa, et al.
Published: (2025)

FLOP-Efficient Training: Early Stopping Based on Test-Time Compute Awareness
by: Amer, Hossam, et al.
Published: (2026)

ANUBHUTI: A Comprehensive Corpus For Sentiment Analysis In Bangla Regional Languages
by: Kundu, Swastika, et al.
Published: (2025)

GATech at AbjadGenEval Shared Task: Multilingual Embeddings for Arabic Machine-Generated Text Classification
by: Khamis, Ahmed Khaled
Published: (2026)

PoliTune: Analyzing the Impact of Data Selection and Fine-Tuning on Economic and Political Biases in Large Language Models
by: Agiza, Ahmed, et al.
Published: (2024)

Obliviate: Efficient Unmemorization for Protecting Intellectual Property in Large Language Models
by: Russinovich, Mark, et al.
Published: (2025)

Systematic Evaluation of Optimization Techniques for Long-Context Language Models
by: Ahmed, Ammar, et al.
Published: (2025)

SOS! Soft Prompt Attack Against Open-Source Large Language Models
by: Yang, Ziqing, et al.
Published: (2024)

Advanced Crash Causation Analysis for Freeway Safety: A Large Language Model Approach to Identifying Key Contributing Factors
by: Abdelrahman, Ahmed S., et al.
Published: (2025)

Accelerating the Low-Rank Decomposed Models
by: Hajimolahoseini, Habib, et al.
Published: (2024)

Do Large Language Model Benchmarks Test Reliability?
by: Vendrow, Joshua, et al.
Published: (2025)

mucAI at WojoodNER 2024: Arabic Named Entity Recognition with Nearest Neighbor Search
by: Abdou, Ahmed, et al.
Published: (2024)

Entropy-Aligned Decoding of LMs for Better Writing and Reasoning
by: Ahmed, Kareem, et al.
Published: (2026)

Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
by: Karamcheti, Siddharth, et al.
Published: (2024)

Qalb: Largest State-of-the-Art Urdu Large Language Model for 230M Speakers with Systematic Continued Pre-training
by: Hassan, Muhammad Taimoor, et al.
Published: (2026)

Scalable Ensembling For Mitigating Reward Overoptimisation
by: Ahmed, Ahmed M., et al.
Published: (2024)

Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective
by: Wen, Kaiyue, et al.
Published: (2024)

Adaptive Testing for Segmenting Watermarked Texts From Language Models
by: Li, Xingchi, et al.
Published: (2025)