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Collections including paper arxiv:2606.02437

AI Research Papers/Things

A collection of research regarding AI that interests me.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling

Paper • 2607.02980 • Published Jul 3 • 84
Gemma 4 Technical Report

Paper • 2607.02770 • Published Jul 2 • 82
SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe

Paper • 2607.03451 • Published Jul 3 • 35
TurnOPD: Making On-Policy Distillation Turn-Aware for Efficient Long-Horizon Agent Training

Paper • 2607.05804 • Published Jul 7 • 20

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters

Paper • 2606.02437 • Published Jun 1 • 145

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters

Paper • 2606.02437 • Published Jun 1 • 145

Meta-Awareness Enhances Reasoning Models: Self-Alignment Reinforcement Learning

Paper • 2510.03259 • Published Sep 26, 2025 • 57
Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense

Paper • 2510.07242 • Published Oct 8, 2025 • 30
First Try Matters: Revisiting the Role of Reflection in Reasoning Models

Paper • 2510.08308 • Published Oct 9, 2025 • 24
Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward

Paper • 2510.03222 • Published Oct 3, 2025 • 76

AI for Auto-Research: Roadmap & User Guide

Paper • 2605.18661 • Published May 18 • 70
StableVLA: Towards Robust Vision-Language-Action Models without Extra Data

Paper • 2605.18287 • Published May 18 • 14
MixSD: Mixed Contextual Self-Distillation for Knowledge Injection

Paper • 2605.16865 • Published May 16 • 9
MolmoPoint: Better Pointing for VLMs with Grounding Tokens

Paper • 2603.28069 • Published Mar 30 • 8

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters

Paper • 2606.02437 • Published Jun 1 • 145

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters

Paper • 2606.02437 • Published Jun 1 • 145
SkillOpt: Executive Strategy for Self-Evolving Agent Skills

Paper • 2605.23904 • Published May 22 • 263

LLM Architectures

Kimi Linear: An Expressive, Efficient Attention Architecture

Paper • 2510.26692 • Published Oct 30, 2025 • 138
GLM-5: from Vibe Coding to Agentic Engineering

Paper • 2602.15763 • Published Feb 17 • 220
Believe Your Model: Distribution-Guided Confidence Calibration

Paper • 2603.03872 • Published Mar 4 • 20
OpenWorldLib: A Unified Codebase and Definition of Advanced World Models

Paper • 2604.04707 • Published Apr 6 • 199

When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method

Paper • 2402.17193 • Published Feb 27, 2024 • 26
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective

Paper • 2410.23743 • Published Oct 31, 2024 • 64
Direct Preference Optimization Using Sparse Feature-Level Constraints

Paper • 2411.07618 • Published Nov 12, 2024 • 17
Transformer^2: Self-adaptive LLMs

Paper • 2501.06252 • Published Jan 9, 2025 • 55

AI Research Papers/Things

A collection of research regarding AI that interests me.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling

Paper • 2607.02980 • Published Jul 3 • 84
Gemma 4 Technical Report

Paper • 2607.02770 • Published Jul 2 • 82
SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe

Paper • 2607.03451 • Published Jul 3 • 35
TurnOPD: Making On-Policy Distillation Turn-Aware for Efficient Long-Horizon Agent Training

Paper • 2607.05804 • Published Jul 7 • 20

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters

Paper • 2606.02437 • Published Jun 1 • 145

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters

Paper • 2606.02437 • Published Jun 1 • 145

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters

Paper • 2606.02437 • Published Jun 1 • 145
SkillOpt: Executive Strategy for Self-Evolving Agent Skills

Paper • 2605.23904 • Published May 22 • 263

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters

Paper • 2606.02437 • Published Jun 1 • 145

LLM Architectures

Kimi Linear: An Expressive, Efficient Attention Architecture

Paper • 2510.26692 • Published Oct 30, 2025 • 138
GLM-5: from Vibe Coding to Agentic Engineering

Paper • 2602.15763 • Published Feb 17 • 220
Believe Your Model: Distribution-Guided Confidence Calibration

Paper • 2603.03872 • Published Mar 4 • 20
OpenWorldLib: A Unified Codebase and Definition of Advanced World Models

Paper • 2604.04707 • Published Apr 6 • 199

Meta-Awareness Enhances Reasoning Models: Self-Alignment Reinforcement Learning

Paper • 2510.03259 • Published Sep 26, 2025 • 57
Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense

Paper • 2510.07242 • Published Oct 8, 2025 • 30
First Try Matters: Revisiting the Role of Reflection in Reasoning Models

Paper • 2510.08308 • Published Oct 9, 2025 • 24
Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward

Paper • 2510.03222 • Published Oct 3, 2025 • 76

When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method

Paper • 2402.17193 • Published Feb 27, 2024 • 26
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective

Paper • 2410.23743 • Published Oct 31, 2024 • 64
Direct Preference Optimization Using Sparse Feature-Level Constraints

Paper • 2411.07618 • Published Nov 12, 2024 • 17
Transformer^2: Self-adaptive LLMs

Paper • 2501.06252 • Published Jan 9, 2025 • 55

AI for Auto-Research: Roadmap & User Guide

Paper • 2605.18661 • Published May 18 • 70
StableVLA: Towards Robust Vision-Language-Action Models without Extra Data

Paper • 2605.18287 • Published May 18 • 14
MixSD: Mixed Contextual Self-Distillation for Knowledge Injection

Paper • 2605.16865 • Published May 16 • 9
MolmoPoint: Better Pointing for VLMs with Grounding Tokens

Paper • 2603.28069 • Published Mar 30 • 8

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