Copertina

Investigating Regularization of Self-Play Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Alami, Reda, Abubaker, Abdalgader, Achab, Mastane, Seddik, Mohamed El Amine, Lahlou, Salem
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Accurate and Diverse LLM Mathematical Reasoning via Automated PRM-Guided GFlowNets
di: Younsi, Adam, et al.
Pubblicazione: (2025)

A Bregman firmly nonexpansive proximal operator for baryconvex optimization
di: Achab, Mastane
Pubblicazione: (2024)

PORT: Preference Optimization on Reasoning Traces
di: Lahlou, Salem, et al.
Pubblicazione: (2024)

Noise-corrected GRPO: From Noisy Rewards to Unbiased Gradients
di: Mansouri, Omar El, et al.
Pubblicazione: (2025)

Alignment with Preference Optimization Is All You Need for LLM Safety
di: Alami, Reda, et al.
Pubblicazione: (2024)

How Does Attention Help? Insights from Random Matrices on Signal Recovery from Sequence Models
di: Seddik, Mohamed El Amine
Pubblicazione: (2026)

Maximizing the Potential of Synthetic Data: Insights from Random Matrix Theory
di: Firdoussi, Aymane El, et al.
Pubblicazione: (2024)

High-dimensional Learning with Noisy Labels
di: Firdoussi, Aymane El, et al.
Pubblicazione: (2024)

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence
di: Bennis, Mehdi, et al.
Pubblicazione: (2025)

$α$-LoRA: Effective Fine-Tuning via Base Model Rescaling
di: Firdoussi, Aymane El, et al.
Pubblicazione: (2025)

Communication Enables Cooperation in LLM Agents: A Comparison with Curriculum-Based Approaches
di: Madmoun, Hachem, et al.
Pubblicazione: (2025)

Falcon-H1R: Pushing the Reasoning Frontiers with a Hybrid Model for Efficient Test-Time Scaling
di: Falcon LLM Team, et al.
Pubblicazione: (2026)

Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model
di: Lebeau, Hugo, et al.
Pubblicazione: (2024)

How Bad is Training on Synthetic Data? A Statistical Analysis of Language Model Collapse
di: Seddik, Mohamed El Amine, et al.
Pubblicazione: (2024)

Likelihood-guided Regularization in Attention Based Models
di: Salem, Mohamed, et al.
Pubblicazione: (2025)

High-Dimensional Analysis of Bootstrap Ensemble Classifiers
di: Tiomoko, Malik, et al.
Pubblicazione: (2025)

Improved Exploration in GFlownets via Enhanced Epistemic Neural Networks
di: Muhammad, Sajan, et al.
Pubblicazione: (2025)

RSPO: Regularized Self-Play Alignment of Large Language Models
di: Tang, Xiaohang, et al.
Pubblicazione: (2025)

On the Stability of the Jacobian Matrix in Deep Neural Networks
di: Dadoun, Benjamin, et al.
Pubblicazione: (2025)

On Generalization for Generative Flow Networks
di: Krichel, Anas, et al.
Pubblicazione: (2024)

On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis
di: Guan, Junyi, et al.
Pubblicazione: (2025)

HyperKKL: Enabling Non-Autonomous State Estimation through Dynamic Weight Conditioning
di: Shaaban, Yahia Salaheldin, et al.
Pubblicazione: (2026)

Valid Feature-Level Inference for Tabular Foundation Models via the Conditional Randomization Test
di: Salem, Mohamed
Pubblicazione: (2026)

Loss-Guided Auxiliary Agents for Overcoming Mode Collapse in GFlowNets
di: Malek, Idriss, et al.
Pubblicazione: (2025)

Comparative Performance Analysis of Quantum Machine Learning Architectures for Credit Card Fraud Detection
di: Alami, Mansour El, et al.
Pubblicazione: (2024)

Curriculum-Augmented GFlowNets For mRNA Sequence Generation
di: Laajil, Aya, et al.
Pubblicazione: (2025)

Avoid What You Know: Divergent Trajectory Balance for GFlowNets
di: Dall'Antonia, Pedro, et al.
Pubblicazione: (2026)

Do Vision and Language Encoders Represent the World Similarly?
di: Maniparambil, Mayug, et al.
Pubblicazione: (2024)

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

PoTS: Proof-of-Training-Steps for Backdoor Detection in Large Language Models
di: Seddik, Issam, et al.
Pubblicazione: (2025)

Zero-Shot Off-Policy Learning
di: Asadulaev, Arip, et al.
Pubblicazione: (2026)

torchgfn: A PyTorch GFlowNet library
di: Viviano, Joseph D., et al.
Pubblicazione: (2023)

Reinforcement Learning-enabled Satellite Constellation Reconfiguration and Retasking for Mission-Critical Applications
di: Alami, Hassan El, et al.
Pubblicazione: (2024)

GFlowNet Foundations
di: Bengio, Yoshua, et al.
Pubblicazione: (2021)

Diffusion-based Adversarial Purification for Intrusion Detection
di: Merzouk, Mohamed Amine, et al.
Pubblicazione: (2024)

SVRPBench: A Realistic Benchmark for Stochastic Vehicle Routing Problem
di: Heakl, Ahmed, et al.
Pubblicazione: (2025)

SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning
di: Mangold, Paul, et al.
Pubblicazione: (2024)

Self-Play Preference Optimization for Language Model Alignment
di: Wu, Yue, et al.
Pubblicazione: (2024)

VARS-FL: Validation-Aligned Client Selection for Non-IID Federated Learning in IoT Systems
di: Lakas, Mohamed, et al.
Pubblicazione: (2026)

BackPlay: Head-Only Look-Back Self-Correction for Diffusion Language Models
di: Liu, Liming, et al.
Pubblicazione: (2026)