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Weak-Driven Learning: How Weak Agents make Strong Agents Stronger
Paper • 2602.08222 • Published • 272 -
Rethinking Generative Recommender Tokenizer: Recsys-Native Encoding and Semantic Quantization Beyond LLMs
Paper • 2602.02338 • Published • 40 -
Scaling Embeddings Outperforms Scaling Experts in Language Models
Paper • 2601.21204 • Published • 100 -
Agentic Reasoning for Large Language Models
Paper • 2601.12538 • Published • 198
Collections
Discover the best community collections!
Collections including paper arxiv:2601.21204
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Scaling Embeddings Outperforms Scaling Experts in Language Models
Paper • 2601.21204 • Published • 100 -
Innovator-VL: A Multimodal Large Language Model for Scientific Discovery
Paper • 2601.19325 • Published • 79 -
TwinBrainVLA: Unleashing the Potential of Generalist VLMs for Embodied Tasks via Asymmetric Mixture-of-Transformers
Paper • 2601.14133 • Published • 61 -
MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods
Paper • 2601.21821 • Published • 60
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AgentDoG: A Diagnostic Guardrail Framework for AI Agent Safety and Security
Paper • 2601.18491 • Published • 125 -
SWE-Pruner: Self-Adaptive Context Pruning for Coding Agents
Paper • 2601.16746 • Published • 89 -
Scaling Embeddings Outperforms Scaling Experts in Language Models
Paper • 2601.21204 • Published • 100 -
Improving Multi-step RAG with Hypergraph-based Memory for Long-Context Complex Relational Modeling
Paper • 2512.23959 • Published • 112
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A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Doubao 1.8, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5
Paper • 2601.10527 • Published • 25 -
PACEvolve: Enabling Long-Horizon Progress-Aware Consistent Evolution
Paper • 2601.10657 • Published • 20 -
TranslateGemma Technical Report
Paper • 2601.09012 • Published • 20 -
Recursive Language Models
Paper • 2512.24601 • Published • 90
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Good SFT Optimizes for SFT, Better SFT Prepares for Reinforcement Learning
Paper • 2602.01058 • Published • 41 -
PixelGen: Pixel Diffusion Beats Latent Diffusion with Perceptual Loss
Paper • 2602.02493 • Published • 42 -
Scaling Embeddings Outperforms Scaling Experts in Language Models
Paper • 2601.21204 • Published • 100 -
OmniSIFT: Modality-Asymmetric Token Compression for Efficient Omni-modal Large Language Models
Paper • 2602.04804 • Published • 46
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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 • 100 -
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability
Paper • 2601.18778 • Published • 40
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Scaling Embeddings Outperforms Scaling Experts in Language Models
Paper • 2601.21204 • Published • 100 -
jina-embeddings-v5-text: Task-Targeted Embedding Distillation
Paper • 2602.15547 • Published • 23 -
ManCAR: Manifold-Constrained Latent Reasoning with Adaptive Test-Time Computation for Sequential Recommendation
Paper • 2602.20093 • Published • 28
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Youtu-LLM: Unlocking the Native Agentic Potential for Lightweight Large Language Models
Paper • 2512.24618 • Published • 151 -
Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem
Paper • 2512.24873 • Published • 105 -
AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents
Paper • 2512.23343 • Published • 29 -
Figure It Out: Improving the Frontier of Reasoning with Active Visual Thinking
Paper • 2512.24297 • Published • 6
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Weak-Driven Learning: How Weak Agents make Strong Agents Stronger
Paper • 2602.08222 • Published • 272 -
Rethinking Generative Recommender Tokenizer: Recsys-Native Encoding and Semantic Quantization Beyond LLMs
Paper • 2602.02338 • Published • 40 -
Scaling Embeddings Outperforms Scaling Experts in Language Models
Paper • 2601.21204 • Published • 100 -
Agentic Reasoning for Large Language Models
Paper • 2601.12538 • Published • 198
-
Good SFT Optimizes for SFT, Better SFT Prepares for Reinforcement Learning
Paper • 2602.01058 • Published • 41 -
PixelGen: Pixel Diffusion Beats Latent Diffusion with Perceptual Loss
Paper • 2602.02493 • Published • 42 -
Scaling Embeddings Outperforms Scaling Experts in Language Models
Paper • 2601.21204 • Published • 100 -
OmniSIFT: Modality-Asymmetric Token Compression for Efficient Omni-modal Large Language Models
Paper • 2602.04804 • Published • 46
-
Scaling Embeddings Outperforms Scaling Experts in Language Models
Paper • 2601.21204 • Published • 100 -
Innovator-VL: A Multimodal Large Language Model for Scientific Discovery
Paper • 2601.19325 • Published • 79 -
TwinBrainVLA: Unleashing the Potential of Generalist VLMs for Embodied Tasks via Asymmetric Mixture-of-Transformers
Paper • 2601.14133 • Published • 61 -
MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods
Paper • 2601.21821 • Published • 60
-
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 • 100 -
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability
Paper • 2601.18778 • Published • 40
-
AgentDoG: A Diagnostic Guardrail Framework for AI Agent Safety and Security
Paper • 2601.18491 • Published • 125 -
SWE-Pruner: Self-Adaptive Context Pruning for Coding Agents
Paper • 2601.16746 • Published • 89 -
Scaling Embeddings Outperforms Scaling Experts in Language Models
Paper • 2601.21204 • Published • 100 -
Improving Multi-step RAG with Hypergraph-based Memory for Long-Context Complex Relational Modeling
Paper • 2512.23959 • Published • 112
-
Scaling Embeddings Outperforms Scaling Experts in Language Models
Paper • 2601.21204 • Published • 100 -
jina-embeddings-v5-text: Task-Targeted Embedding Distillation
Paper • 2602.15547 • Published • 23 -
ManCAR: Manifold-Constrained Latent Reasoning with Adaptive Test-Time Computation for Sequential Recommendation
Paper • 2602.20093 • Published • 28
-
A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Doubao 1.8, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5
Paper • 2601.10527 • Published • 25 -
PACEvolve: Enabling Long-Horizon Progress-Aware Consistent Evolution
Paper • 2601.10657 • Published • 20 -
TranslateGemma Technical Report
Paper • 2601.09012 • Published • 20 -
Recursive Language Models
Paper • 2512.24601 • Published • 90
-
Youtu-LLM: Unlocking the Native Agentic Potential for Lightweight Large Language Models
Paper • 2512.24618 • Published • 151 -
Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem
Paper • 2512.24873 • Published • 105 -
AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents
Paper • 2512.23343 • Published • 29 -
Figure It Out: Improving the Frontier of Reasoning with Active Visual Thinking
Paper • 2512.24297 • Published • 6