Copertina

Learning to Reason in 13 Parameters

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Morris, John X., Mireshghallah, Niloofar, Ibrahim, Mark, Mahloujifar, Saeed
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Synthetic Data Can Mislead Evaluations: Membership Inference as Machine Text Detection
di: Naseh, Ali, et al.
Pubblicazione: (2025)

Position: Privacy Is Not Just Memorization!
di: Mireshghallah, Niloofar, et al.
Pubblicazione: (2025)

Operationalizing Data Minimization for Privacy-Preserving LLM Prompting
di: Zhou, Jijie, et al.
Pubblicazione: (2025)

Z0-Inf: Zeroth Order Approximation for Data Influence
di: Kokhlikyan, Narine, et al.
Pubblicazione: (2025)

Auditing $f$-Differential Privacy in One Run
di: Mahloujifar, Saeed, et al.
Pubblicazione: (2024)

Differentially Private Learning Needs Better Model Initialization and Self-Distillation
di: Ngong, Ivoline C., et al.
Pubblicazione: (2024)

Machine Learning with Privacy for Protected Attributes
di: Mahloujifar, Saeed, et al.
Pubblicazione: (2025)

Harnessing Optimization Dynamics for Curvature-Informed Model Merging
di: Mahdavinia, Pouria, et al.
Pubblicazione: (2025)

Privacy Blur: Quantifying Privacy and Utility for Image Data Release
di: Mahloujifar, Saeed, et al.
Pubblicazione: (2025)

Smaller Language Models are Better Black-box Machine-Generated Text Detectors
di: Mireshghallah, Niloofar, et al.
Pubblicazione: (2023)

Privacy Amplification for the Gaussian Mechanism via Bounded Support
di: Hu, Shengyuan, et al.
Pubblicazione: (2024)

Observational Auditing of Label Privacy
di: Kalemaj, Iden, et al.
Pubblicazione: (2025)

Guarantees of confidentiality via Hammersley-Chapman-Robbins bounds
di: Chaudhuri, Kamalika, et al.
Pubblicazione: (2024)

Boundary-targeted Membership Inference Attacks on Safety Classifiers
di: Hughes, Anthony, et al.
Pubblicazione: (2026)

A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization
di: Panda, Ashwinee, et al.
Pubblicazione: (2022)

Private Fine-tuning of Large Language Models with Zeroth-order Optimization
di: Tang, Xinyu, et al.
Pubblicazione: (2024)

SecAlign: Defending Against Prompt Injection with Preference Optimization
di: Chen, Sizhe, et al.
Pubblicazione: (2024)

CIMemories: A Compositional Benchmark for Contextual Integrity of Persistent Memory in LLMs
di: Mireshghallah, Niloofar, et al.
Pubblicazione: (2025)

Publicly-Detectable Watermarking for Language Models
di: Fairoze, Jaiden, et al.
Pubblicazione: (2023)

CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation
di: Chen, Tong, et al.
Pubblicazione: (2024)

ParaPO: Aligning Language Models to Reduce Verbatim Reproduction of Pre-training Data
di: Chen, Tong, et al.
Pubblicazione: (2025)

RefGrader: Automated Grading of Mathematical Competition Proofs using Agentic Workflows
di: Mahdavi, Hamed, et al.
Pubblicazione: (2025)

Extracting Prompts by Inverting LLM Outputs
di: Zhang, Collin, et al.
Pubblicazione: (2024)

Do language models plan ahead for future tokens?
di: Wu, Wilson, et al.
Pubblicazione: (2024)

Harnessing the Universal Geometry of Embeddings
di: Jha, Rishi, et al.
Pubblicazione: (2025)

Early Recognition of Parkinson's Disease Through Acoustic Analysis and Machine Learning
di: Fadavi, Niloofar, et al.
Pubblicazione: (2024)

Towards Parameter-Free Temporal Difference Learning
di: Li, Yunxiang, et al.
Pubblicazione: (2026)

A False Sense of Privacy: Evaluating Textual Data Sanitization Beyond Surface-level Privacy Leakage
di: Xin, Rui, et al.
Pubblicazione: (2025)

Validating Interpretability in siRNA Efficacy Prediction: A Perturbation-Based, Dataset-Aware Protocol
di: Khodagholi, Zahra, et al.
Pubblicazione: (2026)

SGC: A semi-supervised pipeline for gene clustering using self-training approach in gene co-expression networks
di: Aghaieabiane, Niloofar, et al.
Pubblicazione: (2022)

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

Occam's Razor for Self Supervised Learning: What is Sufficient to Learn Good Representations?
di: Ibrahim, Mark, et al.
Pubblicazione: (2024)

BIOGEN: Evidence-Grounded Multi-Agent Reasoning Framework for Transcriptomic Interpretation in Antimicrobial Resistance
di: Hossain, Elias, et al.
Pubblicazione: (2025)

Lotus at SemEval-2025 Task 11: RoBERTa with Llama-3 Generated Explanations for Multi-Label Emotion Classification
di: Ranjbar, Niloofar, et al.
Pubblicazione: (2025)

ReasonCACHE: Teaching LLMs To Reason Without Weight Updates
di: Gupta, Sharut, et al.
Pubblicazione: (2026)

Reinforcement Learning Improves Traversal of Hierarchical Knowledge in LLMs
di: Zhang, Renfei, et al.
Pubblicazione: (2025)

Learning Stable Predictors from Weak Supervision under Distribution Shift
di: Shoeibi, Mehrdad, et al.
Pubblicazione: (2026)

K2-Think: A Parameter-Efficient Reasoning System
di: Cheng, Zhoujun, et al.
Pubblicazione: (2025)

PERK: Long-Context Reasoning as Parameter-Efficient Test-Time Learning
di: Chen, Zeming, et al.
Pubblicazione: (2025)

Lasso Penalization for High-Dimensional Beta Regression Models: Computation, Analysis, and Inference
di: Ramezani, Niloofar, et al.
Pubblicazione: (2025)