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Rethinking entropy regularization in large reasoning models (89) 사진

Theoretical Perspectives on Knowledge Distillation: A Review - Liu - 2025 - WIREs Computational Statistics - Wiley Online Library

Do Reasoning Models Really Need Transformers?: Researchers from TogetherAI, Cornell, Geneva, and Princeton Introduce M1—A Hybrid Mamba-Based AI that Matches SOTA Performance at 3x Inference Speed - MarkTechPost

Fin-R1: A Specialized Large Language Model for Financial Reasoning and Decision-Making - MarkTechPost

Toward large reasoning models: A survey of reinforced reasoning with large language models: Patterns

Tractable Regularization of Probabilistic Circuits

Conditional Domain Adaptation with α-Rényi Entropy Regularization and Noise-Aware Label Weighting[v1] | Preprints.org

Internal Consistency and Self-Feedback in Large Language Models: A Survey (Renmin University of China, July 2024) Paper: [https://arxiv.org/abs/2407.14507](https://arxiv.org/abs/2407.14507) Abstract:

Important LLM Papers for the Week From 27/10 To 01/11

Literature Review] Rethinking LLM Human Simulation: When a Graph is What You Need

EPO: Entropy-Regularized Policy Optimization for LLM Agents Reinforcement Learning | by Dixon | Medium

Toward large reasoning models: A survey of reinforced reasoning with large language models: Patterns

Beyond Aha Moments: Structuring Reasoning in Large Language Models - MarkTechPost

PDF) Spurious Rewards: Rethinking Training Signals in RLVR

Simulately

上海AI lab 提出SIREN：重新思考RLVR 中的熵正则- 知乎

Literature Review] Rethinking Entropy Regularization in Large Reasoning Models

Entropy-Regularized Attention for Explainable Histological Classification with Convolutional and Hybrid Models

Reinforcement Learning with Verifiable Rewards

Contextual Knowledge Infusion via Iterative Semantic Tracing for Vision–Language Understanding[v1] | Preprints.org

The State of Reinforcement Learning for LLM Reasoning

Reward Modeling | RLHF Book by Nathan Lambert

Toward large reasoning models: A survey of reinforced reasoning with large language models: Patterns

Literature Review] Clip-Low Increases Entropy and Clip-High Decreases Entropy in Reinforcement Learning of Large Language Models

Multi-access edge computing scheduling optimization model for remote education under 6G network environment based on reinforcement learning | Scientific Reports

ReVisual-R1: An Open-Source 7B Multimodal Large Language Model (MLLMs) that Achieves Long, Accurate and Thoughtful Reasoning - MarkTechPost

Depth-Breadth Synergy in RLVR: Unlocking LLM Reasoning Gains with Adaptive Exploration

Important LLM Papers for the Week From 28/07 to 02/08 | by Youssef Hosni | Towards AI

The State of Reinforcement Learning for LLM Reasoning

ICLR2023 Statistics

Rethinking Data Use in Large Language Models

Rethinking Chain-of-Thought from the Perspective of Self-Training

The State of Reinforcement Learning for LLM Reasoning

Important LLM Papers for the Week From 28/07 to 02/08

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective | International Journal of Computer Vision

Conditional Domain Adaptation with α-Rényi Entropy Regularization and Noise-Aware Label Weighting[v1] | Preprints.org

Important LLM Papers for the Week From 27/10 To 01/11 | by Youssef Hosni | Level Up Coding

Yafu Li (@yafuly) / Posts / X

Can Large Reasoning Models Self-Train?

Reinforcement Learning from One Example? | Towards Data Science

The State of Reinforcement Learning for LLM Reasoning

Off-Policy Reinforcement Learning RL with KL Divergence Yields Superior Reasoning in Large Language Models - MarkTechPost

上海AI lab 提出SIREN：重新思考RLVR 中的熵正则- 机器学习POD

论文评述] From Entropy to Epiplexity: Rethinking Information for Computationally Bounded Intelligence

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective | International Journal of Computer Vision

Aligning machine and human visual representations across abstraction levels | Nature

上海AI lab 提出SIREN：重新思考RLVR 中的熵正则- 知乎

Learning from models beyond fine-tuning | Nature Machine Intelligence

无监督RL的粗略分析- 知乎

Entropy | March 2025 - Browse Articles

Important LLM Papers for the Week From 28/07 to 02/08 | by Youssef Hosni | Towards AI

Shamane Siri (@GShamane) / Posts / X

Emergent neuronal mechanisms mediating covert attention in convolutional neural networks | PNAS

The State of Reinforcement Learning for LLM Reasoning

Structure Trumps Size: Rethinking Data Quality for LLM Reasoning

Today I came across an interesting phenomenon in LLM reasoning on X. Some models actually switch languages mid-problem—not because they are confused, but because they are optimizing. Why? Because Chinese is computationally

Reasoning Training & Inference-Time Scaling | RLHF Book by Nathan Lambert

Toward large reasoning models: A survey of reinforced reasoning with large language models: Patterns

AREAL: Accelerating Large Reasoning Model Training with Fully Asynchronous Reinforcement Learning - MarkTechPost

Entropy-Regularized Attention for Explainable Histological Classification with Convolutional and Hybrid Models

Literature Review] The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models

NeurIPS Poster Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

A Guide to Machine Learning Epistemic Ignorance, Hidden Paradoxes, and Other Tensions - Naser - 2025 - WIREs Data Mining and Knowledge Discovery - Wiley Online Library

Toward large reasoning models: A survey of reinforced reasoning with large language models: Patterns

Important LLM Papers for the Week From 28/07 to 02/08 | by Youssef Hosni | Towards AI

Rethinking Entropy Interventions in RLVR: An Entropy Change Perspective

Scalable MatMul-free Language Modeling: Ternary Weights and MLGRU | Devansh Devansh posted on the topic | LinkedIn

Beyond the Mean: How Quantile Baselines Tame Entropy in AI Reasoning | by GlitchQ | Medium

Tractable Regularization of Probabilistic Circuits

Advancing Medical Reasoning with Reinforcement Learning from Verifiable Rewards (RLVR): Insights from MED-RLVR - MarkTechPost

DeepSeek-R1 Special Edition

RETHINKING ENTROPY REGULARIZATION IN LARGE REASONING MODELS

PDF) Rethinking Entropy Regularization in Large Reasoning Models

Rethinking statistical learning theory: learning using statistical invariants | Machine Learning

Tractable Regularization of Probabilistic Circuits

Important LLM Papers for the Week From 27/10 To 01/11 | by Youssef Hosni | Level Up Coding

Multitask Learning 1997–2024: Part I Fundamentals · Issue 7.3, Summer 2025

Explore Data Left Behind in Reinforcement Learning for Reasoning Language Models

Image Super-Resolution Achieves Efficiency Via Individualized Exploratory Attention, Rethinking Token Similarities

Predictive maintenance in Industry 4.0: a survey of planning models and machine learning techniques [PeerJ]

Differential Smoothing Mitigates Sharpening and Improves LLM Reasoning

Rethinking KL Regularization in RLHF: From Value Estimation to Gradient Optimization

Lokesh Mishra (@exomishra) / Posts / X

论文评述] Boosting RL-Based Visual Reasoning with Selective Adversarial Entropy Intervention

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