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Collections including paper arxiv:2610.11959

A Style is Worth One Code: Unlocking Code-to-Style Image Generation with Discrete Style Space

Paper • 2511.10555 • Published Nov 13, 2025 • 63
Scaling Latent Reasoning via Looped Language Models

Paper • 2510.25741 • Published Oct 29, 2025 • 240
Depth Anything 3: Recovering the Visual Space from Any Views

Paper • 2511.10647 • Published Nov 13, 2025 • 103
The Trinity of Consistency as a Defining Principle for General World Models

Paper • 2602.23152 • Published Feb 26 • 190

Continual learning

AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration

Paper • 2605.20025 • Published May 19 • 142
OpenComputer: Verifiable Software Worlds for Computer-Use Agents

Paper • 2605.19769 • Published May 19 • 67
WildClawBench: A Benchmark for Real-World, Long-Horizon Agent Evaluation

Paper • 2605.10912 • Published May 11 • 38
EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents

Paper • 2605.13941 • Published May 13 • 15

Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation

Paper • 2603.19220 • Published Mar 19 • 70
Not Every Rubric Teaches Equally: Policy-Aware Rubric Rewards for RLVR

Paper • 2605.20164 • Published May 19 • 5
GoLongRL: Capability-Oriented Long Context Reinforcement Learning with Multitask Alignment

Paper • 2605.19577 • Published May 19 • 58
EnvFactory: Scaling Tool-Use Agents via Executable Environments Synthesis and Robust RL

Paper • 2605.18703 • Published May 18 • 50

07. IA agentica

Multi-Agent Computer Use

Paper • 2606.01533 • Published Jun 1 • 6
OpenSkill: Open-World Self-Evolution for LLM Agents

Paper • 2606.06741 • Published Jun 4 • 152
Socratic-SWE: Self-Evolving Coding Agents via Trace-Derived Agent Skills

Paper • 2606.07412 • Published Jun 5 • 13
Bayesian-Agent: Posterior-Guided Skill Evolution for LLM Agent Harnesses

Paper • 2606.08348 • Published Jun 6 • 16

Why Fine-Tuning Encourages Hallucinations and How to Fix It

Paper • 2604.15574 • Published Apr 16 • 25
Tuna-2: Pixel Embeddings Beat Vision Encoders for Multimodal Understanding and Generation

Paper • 2604.24763 • Published Apr 27 • 70
Programming with Data: Test-Driven Data Engineering for Self-Improving LLMs from Raw Corpora

Paper • 2604.24819 • Published Apr 27 • 90
GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents

Paper • 2604.26752 • Published Apr 29 • 116

Foundation Models

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Paper • 2508.06471 • Published Aug 8, 2025 • 217
Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training

Paper • 2508.00414 • Published Aug 1, 2025 • 96
Continuous Autoregressive Language Models

Paper • 2510.27688 • Published Oct 31, 2025 • 75
MiMo-Embodied: X-Embodied Foundation Model Technical Report

Paper • 2511.16518 • Published Nov 20, 2025 • 26

A Style is Worth One Code: Unlocking Code-to-Style Image Generation with Discrete Style Space

Paper • 2511.10555 • Published Nov 13, 2025 • 63
Scaling Latent Reasoning via Looped Language Models

Paper • 2510.25741 • Published Oct 29, 2025 • 240
Depth Anything 3: Recovering the Visual Space from Any Views

Paper • 2511.10647 • Published Nov 13, 2025 • 103
The Trinity of Consistency as a Defining Principle for General World Models

Paper • 2602.23152 • Published Feb 26 • 190

07. IA agentica

Multi-Agent Computer Use

Paper • 2606.01533 • Published Jun 1 • 6
OpenSkill: Open-World Self-Evolution for LLM Agents

Paper • 2606.06741 • Published Jun 4 • 152
Socratic-SWE: Self-Evolving Coding Agents via Trace-Derived Agent Skills

Paper • 2606.07412 • Published Jun 5 • 13
Bayesian-Agent: Posterior-Guided Skill Evolution for LLM Agent Harnesses

Paper • 2606.08348 • Published Jun 6 • 16

Continual learning

AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration

Paper • 2605.20025 • Published May 19 • 142
OpenComputer: Verifiable Software Worlds for Computer-Use Agents

Paper • 2605.19769 • Published May 19 • 67
WildClawBench: A Benchmark for Real-World, Long-Horizon Agent Evaluation

Paper • 2605.10912 • Published May 11 • 38
EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents

Paper • 2605.13941 • Published May 13 • 15

Why Fine-Tuning Encourages Hallucinations and How to Fix It

Paper • 2604.15574 • Published Apr 16 • 25
Tuna-2: Pixel Embeddings Beat Vision Encoders for Multimodal Understanding and Generation

Paper • 2604.24763 • Published Apr 27 • 70
Programming with Data: Test-Driven Data Engineering for Self-Improving LLMs from Raw Corpora

Paper • 2604.24819 • Published Apr 27 • 90
GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents

Paper • 2604.26752 • Published Apr 29 • 116

Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation

Paper • 2603.19220 • Published Mar 19 • 70
Not Every Rubric Teaches Equally: Policy-Aware Rubric Rewards for RLVR

Paper • 2605.20164 • Published May 19 • 5
GoLongRL: Capability-Oriented Long Context Reinforcement Learning with Multitask Alignment

Paper • 2605.19577 • Published May 19 • 58
EnvFactory: Scaling Tool-Use Agents via Executable Environments Synthesis and Robust RL

Paper • 2605.18703 • Published May 18 • 50

Foundation Models

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Paper • 2508.06471 • Published Aug 8, 2025 • 217
Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training

Paper • 2508.00414 • Published Aug 1, 2025 • 96
Continuous Autoregressive Language Models

Paper • 2510.27688 • Published Oct 31, 2025 • 75
MiMo-Embodied: X-Embodied Foundation Model Technical Report

Paper • 2511.16518 • Published Nov 20, 2025 • 26

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