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Collections including paper arxiv:2606.06087

Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level

Paper • 2411.03562 • Published Nov 5, 2024 • 66
Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning

Paper • 2502.06060 • Published Feb 9, 2025 • 36
MLGym: A New Framework and Benchmark for Advancing AI Research Agents

Paper • 2502.14499 • Published Feb 20, 2025 • 192
SurveyX: Academic Survey Automation via Large Language Models

Paper • 2502.14776 • Published Feb 20, 2025 • 66

LatentSkill: From In-Context Textual Skills to In-Weight Latent Skills for LLM Agents

Paper • 2606.06087 • Published Jun 4 • 67

about 4 hours ago

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8, 2025 • 402 • 105
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12, 2025 • 42
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30, 2025 • 90
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23, 2025 • 89

Contrastive Decoding Improves Reasoning in Large Language Models

Paper • 2309.09117 • Published Sep 17, 2023 • 39
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Paper • 2310.08491 • Published Oct 12, 2023 • 56
Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding

Paper • 2411.04282 • Published Nov 6, 2024 • 35
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models

Paper • 2411.14432 • Published Nov 21, 2024 • 25

LatentSkill: From In-Context Textual Skills to In-Weight Latent Skills for LLM Agents

Paper • 2606.06087 • Published Jun 4 • 67

Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills

Paper • 2603.25158 • Published Mar 26 • 52
SkillClaw: Let Skills Evolve Collectively with Agentic Evolver

Paper • 2604.08377 • Published Apr 9 • 209
How Well Do Agentic Skills Work in the Wild: Benchmarking LLM Skill Usage in Realistic Settings

Paper • 2604.04323 • Published Apr 6 • 37
SkillX: Automatically Constructing Skill Knowledge Bases for Agents

Paper • 2604.04804 • Published Apr 6 • 29

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 • 62
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 • 54

Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level

Paper • 2411.03562 • Published Nov 5, 2024 • 66
Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning

Paper • 2502.06060 • Published Feb 9, 2025 • 36
MLGym: A New Framework and Benchmark for Advancing AI Research Agents

Paper • 2502.14499 • Published Feb 20, 2025 • 192
SurveyX: Academic Survey Automation via Large Language Models

Paper • 2502.14776 • Published Feb 20, 2025 • 66

LatentSkill: From In-Context Textual Skills to In-Weight Latent Skills for LLM Agents

Paper • 2606.06087 • Published Jun 4 • 67

LatentSkill: From In-Context Textual Skills to In-Weight Latent Skills for LLM Agents

Paper • 2606.06087 • Published Jun 4 • 67

Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills

Paper • 2603.25158 • Published Mar 26 • 52
SkillClaw: Let Skills Evolve Collectively with Agentic Evolver

Paper • 2604.08377 • Published Apr 9 • 209
How Well Do Agentic Skills Work in the Wild: Benchmarking LLM Skill Usage in Realistic Settings

Paper • 2604.04323 • Published Apr 6 • 37
SkillX: Automatically Constructing Skill Knowledge Bases for Agents

Paper • 2604.04804 • Published Apr 6 • 29

about 4 hours ago

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8, 2025 • 402 • 105
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12, 2025 • 42
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30, 2025 • 90
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23, 2025 • 89

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 • 62
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 • 54

Contrastive Decoding Improves Reasoning in Large Language Models

Paper • 2309.09117 • Published Sep 17, 2023 • 39
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Paper • 2310.08491 • Published Oct 12, 2023 • 56
Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding

Paper • 2411.04282 • Published Nov 6, 2024 • 35
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models

Paper • 2411.14432 • Published Nov 21, 2024 • 25

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