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Collections including paper arxiv:2601.21204

dLLM: Simple Diffusion Language Modeling

Paper • 2602.22661 • Published Feb 26 • 152
OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data

Paper • 2603.15594 • Published Mar 16 • 149
Qianfan-OCR: A Unified End-to-End Model for Document Intelligence

Paper • 2603.13398 • Published Mar 11 • 153
Penguin-VL: Exploring the Efficiency Limits of VLM with LLM-based Vision Encoders

Paper • 2603.06569 • Published Mar 6 • 119

Good SFT Optimizes for SFT, Better SFT Prepares for Reinforcement Learning

Paper • 2602.01058 • Published Feb 1 • 44
PixelGen: Pixel Diffusion Beats Latent Diffusion with Perceptual Loss

Paper • 2602.02493 • Published Feb 2 • 46
Scaling Embeddings Outperforms Scaling Experts in Language Models

Paper • 2601.21204 • Published Jan 29 • 102
OmniSIFT: Modality-Asymmetric Token Compression for Efficient Omni-modal Large Language Models

Paper • 2602.04804 • Published Feb 4 • 50

Other LLM Related

Scaling Embeddings Outperforms Scaling Experts in Language Models

Paper • 2601.21204 • Published Jan 29 • 102
STEM: Scaling Transformers with Embedding Modules

Paper • 2601.10639 • Published Jan 15 • 2

Endless Terminals: Scaling RL Environments for Terminal Agents

Paper • 2601.16443 • Published Jan 23 • 18
Linear representations in language models can change dramatically over a conversation

Paper • 2601.20834 • Published Jan 28 • 21
Scaling Embeddings Outperforms Scaling Experts in Language Models

Paper • 2601.21204 • Published Jan 29 • 102
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability

Paper • 2601.18778 • Published Jan 26 • 42

Scaling Embeddings Outperforms Scaling Experts in Language Models

Paper • 2601.21204 • Published Jan 29 • 102
jina-embeddings-v5-text: Task-Targeted Embedding Distillation

Paper • 2602.15547 • Published Feb 17 • 26
ManCAR: Manifold-Constrained Latent Reasoning with Adaptive Test-Time Computation for Sequential Recommendation

Paper • 2602.20093 • Published Feb 23 • 29
Distribution-Conditioned Transport

Paper • 2603.04736 • Published Mar 5 • 3

Weak-Driven Learning: How Weak Agents make Strong Agents Stronger

Paper • 2602.08222 • Published Feb 9 • 290
Rethinking Generative Recommender Tokenizer: Recsys-Native Encoding and Semantic Quantization Beyond LLMs

Paper • 2602.02338 • Published Feb 2 • 42
Scaling Embeddings Outperforms Scaling Experts in Language Models

Paper • 2601.21204 • Published Jan 29 • 102
Agentic Reasoning for Large Language Models

Paper • 2601.12538 • Published Jan 18 • 204

Interesting papers

Scaling Embeddings Outperforms Scaling Experts in Language Models

Paper • 2601.21204 • Published Jan 29 • 102
Accelerating Scientific Research with Gemini: Case Studies and Common Techniques

Paper • 2602.03837 • Published Feb 3 • 5

2026-02-01 Papers

Scaling Embeddings Outperforms Scaling Experts in Language Models

Paper • 2601.21204 • Published Jan 29 • 102
Innovator-VL: A Multimodal Large Language Model for Scientific Discovery

Paper • 2601.19325 • Published Jan 27 • 81
TwinBrainVLA: Unleashing the Potential of Generalist VLMs for Embodied Tasks via Asymmetric Mixture-of-Transformers

Paper • 2601.14133 • Published Jan 20 • 61
MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods

Paper • 2601.21821 • Published Jan 29 • 62

AgentDoG: A Diagnostic Guardrail Framework for AI Agent Safety and Security

Paper • 2601.18491 • Published Jan 26 • 125
SWE-Pruner: Self-Adaptive Context Pruning for Coding Agents

Paper • 2601.16746 • Published Jan 23 • 91
Scaling Embeddings Outperforms Scaling Experts in Language Models

Paper • 2601.21204 • Published Jan 29 • 102
Improving Multi-step RAG with Hypergraph-based Memory for Long-Context Complex Relational Modeling

Paper • 2512.23959 • Published Dec 30, 2025 • 111

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 Jan 15 • 26
PACEvolve: Enabling Long-Horizon Progress-Aware Consistent Evolution

Paper • 2601.10657 • Published Jan 15 • 20
TranslateGemma Technical Report

Paper • 2601.09012 • Published Jan 13 • 20
Recursive Language Models

Paper • 2512.24601 • Published Dec 31, 2025 • 94

dLLM: Simple Diffusion Language Modeling

Paper • 2602.22661 • Published Feb 26 • 152
OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data

Paper • 2603.15594 • Published Mar 16 • 149
Qianfan-OCR: A Unified End-to-End Model for Document Intelligence

Paper • 2603.13398 • Published Mar 11 • 153
Penguin-VL: Exploring the Efficiency Limits of VLM with LLM-based Vision Encoders

Paper • 2603.06569 • Published Mar 6 • 119

Weak-Driven Learning: How Weak Agents make Strong Agents Stronger

Paper • 2602.08222 • Published Feb 9 • 290
Rethinking Generative Recommender Tokenizer: Recsys-Native Encoding and Semantic Quantization Beyond LLMs

Paper • 2602.02338 • Published Feb 2 • 42
Scaling Embeddings Outperforms Scaling Experts in Language Models

Paper • 2601.21204 • Published Jan 29 • 102
Agentic Reasoning for Large Language Models

Paper • 2601.12538 • Published Jan 18 • 204

Good SFT Optimizes for SFT, Better SFT Prepares for Reinforcement Learning

Paper • 2602.01058 • Published Feb 1 • 44
PixelGen: Pixel Diffusion Beats Latent Diffusion with Perceptual Loss

Paper • 2602.02493 • Published Feb 2 • 46
Scaling Embeddings Outperforms Scaling Experts in Language Models

Paper • 2601.21204 • Published Jan 29 • 102
OmniSIFT: Modality-Asymmetric Token Compression for Efficient Omni-modal Large Language Models

Paper • 2602.04804 • Published Feb 4 • 50

Interesting papers

Scaling Embeddings Outperforms Scaling Experts in Language Models

Paper • 2601.21204 • Published Jan 29 • 102
Accelerating Scientific Research with Gemini: Case Studies and Common Techniques

Paper • 2602.03837 • Published Feb 3 • 5

Other LLM Related

Scaling Embeddings Outperforms Scaling Experts in Language Models

Paper • 2601.21204 • Published Jan 29 • 102
STEM: Scaling Transformers with Embedding Modules

Paper • 2601.10639 • Published Jan 15 • 2

2026-02-01 Papers

Scaling Embeddings Outperforms Scaling Experts in Language Models

Paper • 2601.21204 • Published Jan 29 • 102
Innovator-VL: A Multimodal Large Language Model for Scientific Discovery

Paper • 2601.19325 • Published Jan 27 • 81
TwinBrainVLA: Unleashing the Potential of Generalist VLMs for Embodied Tasks via Asymmetric Mixture-of-Transformers

Paper • 2601.14133 • Published Jan 20 • 61
MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods

Paper • 2601.21821 • Published Jan 29 • 62

Endless Terminals: Scaling RL Environments for Terminal Agents

Paper • 2601.16443 • Published Jan 23 • 18
Linear representations in language models can change dramatically over a conversation

Paper • 2601.20834 • Published Jan 28 • 21
Scaling Embeddings Outperforms Scaling Experts in Language Models

Paper • 2601.21204 • Published Jan 29 • 102
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability

Paper • 2601.18778 • Published Jan 26 • 42

AgentDoG: A Diagnostic Guardrail Framework for AI Agent Safety and Security

Paper • 2601.18491 • Published Jan 26 • 125
SWE-Pruner: Self-Adaptive Context Pruning for Coding Agents

Paper • 2601.16746 • Published Jan 23 • 91
Scaling Embeddings Outperforms Scaling Experts in Language Models

Paper • 2601.21204 • Published Jan 29 • 102
Improving Multi-step RAG with Hypergraph-based Memory for Long-Context Complex Relational Modeling

Paper • 2512.23959 • Published Dec 30, 2025 • 111

Scaling Embeddings Outperforms Scaling Experts in Language Models

Paper • 2601.21204 • Published Jan 29 • 102
jina-embeddings-v5-text: Task-Targeted Embedding Distillation

Paper • 2602.15547 • Published Feb 17 • 26
ManCAR: Manifold-Constrained Latent Reasoning with Adaptive Test-Time Computation for Sequential Recommendation

Paper • 2602.20093 • Published Feb 23 • 29
Distribution-Conditioned Transport

Paper • 2603.04736 • Published Mar 5 • 3

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 Jan 15 • 26
PACEvolve: Enabling Long-Horizon Progress-Aware Consistent Evolution

Paper • 2601.10657 • Published Jan 15 • 20
TranslateGemma Technical Report

Paper • 2601.09012 • Published Jan 13 • 20
Recursive Language Models

Paper • 2512.24601 • Published Dec 31, 2025 • 94

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