-
Endless Terminals: Scaling RL Environments for Terminal Agents
Paper • 2601.16443 • Published • 18 -
Linear representations in language models can change dramatically over a conversation
Paper • 2601.20834 • Published • 21 -
Scaling Embeddings Outperforms Scaling Experts in Language Models
Paper • 2601.21204 • Published • 102 -
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability
Paper • 2601.18778 • Published • 42
Collections
Discover the best community collections!
Collections including paper arxiv:2601.20975
-
Youtu-LLM: Unlocking the Native Agentic Potential for Lightweight Large Language Models
Paper • 2512.24618 • Published • 154 -
Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem
Paper • 2512.24873 • Published • 108 -
AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents
Paper • 2512.23343 • Published • 30 -
Figure It Out: Improving the Frontier of Reasoning with Active Visual Thinking
Paper • 2512.24297 • Published • 6
-
Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level
Paper • 2411.03562 • Published • 69 -
Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning
Paper • 2502.06060 • Published • 38 -
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Paper • 2502.14499 • Published • 195 -
SurveyX: Academic Survey Automation via Large Language Models
Paper • 2502.14776 • Published • 100
-
LongCat-Flash-Thinking-2601 Technical Report
Paper • 2601.16725 • Published • 180 -
DeepSeek-OCR 2: Visual Causal Flow
Paper • 2601.20552 • Published • 68 -
Linear representations in language models can change dramatically over a conversation
Paper • 2601.20834 • Published • 21 -
BMAM: Brain-inspired Multi-Agent Memory Framework
Paper • 2601.20465 • Published • 5
-
Open Deep Search: Democratizing Search with Open-source Reasoning Agents
Paper • 2503.20201 • Published • 48 -
ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning
Paper • 2503.19470 • Published • 19 -
Spacer: Towards Engineered Scientific Inspiration
Paper • 2508.17661 • Published • 32 -
DeepResearch Arena: The First Exam of LLMs' Research Abilities via Seminar-Grounded Tasks
Paper • 2509.01396 • Published • 58
-
Endless Terminals: Scaling RL Environments for Terminal Agents
Paper • 2601.16443 • Published • 18 -
Linear representations in language models can change dramatically over a conversation
Paper • 2601.20834 • Published • 21 -
Scaling Embeddings Outperforms Scaling Experts in Language Models
Paper • 2601.21204 • Published • 102 -
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability
Paper • 2601.18778 • Published • 42
-
LongCat-Flash-Thinking-2601 Technical Report
Paper • 2601.16725 • Published • 180 -
DeepSeek-OCR 2: Visual Causal Flow
Paper • 2601.20552 • Published • 68 -
Linear representations in language models can change dramatically over a conversation
Paper • 2601.20834 • Published • 21 -
BMAM: Brain-inspired Multi-Agent Memory Framework
Paper • 2601.20465 • Published • 5
-
Youtu-LLM: Unlocking the Native Agentic Potential for Lightweight Large Language Models
Paper • 2512.24618 • Published • 154 -
Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem
Paper • 2512.24873 • Published • 108 -
AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents
Paper • 2512.23343 • Published • 30 -
Figure It Out: Improving the Frontier of Reasoning with Active Visual Thinking
Paper • 2512.24297 • Published • 6
-
Open Deep Search: Democratizing Search with Open-source Reasoning Agents
Paper • 2503.20201 • Published • 48 -
ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning
Paper • 2503.19470 • Published • 19 -
Spacer: Towards Engineered Scientific Inspiration
Paper • 2508.17661 • Published • 32 -
DeepResearch Arena: The First Exam of LLMs' Research Abilities via Seminar-Grounded Tasks
Paper • 2509.01396 • Published • 58
-
Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level
Paper • 2411.03562 • Published • 69 -
Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning
Paper • 2502.06060 • Published • 38 -
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Paper • 2502.14499 • Published • 195 -
SurveyX: Academic Survey Automation via Large Language Models
Paper • 2502.14776 • Published • 100