Imagen de Portada

InfoPO: On Mutual Information Maximization for Large Language Model Alignment

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Xiao, Teng, Ge, Zhen, Sanghavi, Sujay, Wang, Tian, Katz-Samuels, Julian, Versage, Marc, Cui, Qingjun, Chilimbi, Trishul
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

InfoPO: Information-Driven Policy Optimization for User-Centric Agents
por: Kong, Fanqi, et al.
Publicado: (2026)

Evolutionary Contrastive Distillation for Language Model Alignment
por: Katz-Samuels, Julian, et al.
Publicado: (2024)

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval
por: Liu, Yuxiang, et al.
Publicado: (2025)

SynerGen: Contextualized Generative Recommender for Unified Search and Recommendation
por: Gao, Vianne R., et al.
Publicado: (2025)

AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs
por: Corrado, Nicholas E., et al.
Publicado: (2025)

VidLA: Video-Language Alignment at Scale
por: Rizve, Mamshad Nayeem, et al.
Publicado: (2024)

Entropy Aware Reward Guidance for Diffusion Language Model Alignment
por: Tejaswi, Atula, et al.
Publicado: (2026)

Context-Free Synthetic Data Mitigates Forgetting
por: Bansal, Parikshit, et al.
Publicado: (2025)

Enabling Approximate Joint Sampling in Diffusion LMs
por: Bansal, Parikshit, et al.
Publicado: (2025)

CoLLM: A Large Language Model for Composed Image Retrieval
por: Huynh, Chuong, et al.
Publicado: (2025)

InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling
por: Wu, Xiaobao, et al.
Publicado: (2023)

DreamBlend: Advancing Personalized Fine-tuning of Text-to-Image Diffusion Models
por: Ram, Shwetha, et al.
Publicado: (2024)

Learning Mixtures of Experts with EM: A Mirror Descent Perspective
por: Fruytier, Quentin, et al.
Publicado: (2024)

Geometric Median (GM) Matching for Robust Data Pruning
por: Acharya, Anish, et al.
Publicado: (2024)

Understanding Self-Supervised Learning via Gaussian Mixture Models
por: Bansal, Parikshit, et al.
Publicado: (2024)

HiSpec: Hierarchical Speculative Decoding for LLMs
por: Kumar, Avinash, et al.
Publicado: (2025)

Test-Time Speculation
por: Kumar, Avinash, et al.
Publicado: (2026)

InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization
por: Jin, Jiarui, et al.
Publicado: (2024)

InfoBridge: Mutual Information estimation via Bridge Matching
por: Kholkin, Sergei, et al.
Publicado: (2025)

InfoNorm: Mutual Information Shaping of Normals for Sparse-View Reconstruction
por: Wang, Xulong, et al.
Publicado: (2024)

Towards Quantifying the Preconditioning Effect of Adam
por: Das, Rudrajit, et al.
Publicado: (2024)

RARe: Retrieval Augmented Retrieval with In-Context Examples
por: Tejaswi, Atula, et al.
Publicado: (2024)

Blocking Bandits
por: Basu, Soumya, et al.
Publicado: (2019)

InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization
por: Hu, Zhengyang, et al.
Publicado: (2024)

Robust Multi-Task Learning with Excess Risks
por: He, Yifei, et al.
Publicado: (2024)

Geometric Median Matching for Robust k-Subset Selection from Noisy Data
por: Acharya, Anish, et al.
Publicado: (2025)

HYPO: Hyperspherical Out-of-Distribution Generalization
por: Bai, Haoyue, et al.
Publicado: (2024)

InfoMerge: Information-aware Token Compression for Efficient Video Large Language Models
por: Liu, Xinxin, et al.
Publicado: (2026)

InfoFlood: Jailbreaking Large Language Models with Information Overload
por: Yadav, Advait, et al.
Publicado: (2025)

VISTA: Enhancing Vision-Text Alignment in MLLMs via Cross-Modal Mutual Information Maximization
por: Li, Mingxiao, et al.
Publicado: (2025)

Open Vocabulary Multi-Label Video Classification
por: Gupta, Rohit, et al.
Publicado: (2024)

X-Former: Unifying Contrastive and Reconstruction Learning for MLLMs
por: Swetha, Sirnam, et al.
Publicado: (2024)

Parameter Estimation of Mutual Information Maximized Channels
por: Tavakoli, Hassan, et al.
Publicado: (2026)

Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting
por: Sanyal, Sunny, et al.
Publicado: (2025)

When Attention Collapses: How Degenerate Layers in LLMs Enable Smaller, Stronger Models
por: Sanyal, Sunny, et al.
Publicado: (2024)

In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness
por: Collins, Liam, et al.
Publicado: (2024)

Asymptotically-Optimal Gaussian Bandits with Side Observations
por: Atsidakou, Alexia, et al.
Publicado: (2025)

Finite-Time Logarithmic Bayes Regret Upper Bounds
por: Atsidakou, Alexia, et al.
Publicado: (2023)

Understanding the Training Speedup from Sampling with Approximate Losses
por: Das, Rudrajit, et al.
Publicado: (2024)

Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization
por: Jiang, Ruichen, et al.
Publicado: (2024)