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Collections including paper arxiv:2602.08222

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

about 11 hours ago

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1, 2024 • 24
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 85
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 152
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 25

about 14 hours ago

AgentConductor: Topology Evolution for Multi-Agent Competition-Level Code Generation

Paper • 2602.17100 • Published 22 days ago • 2
GroupGPT: A Token-efficient and Privacy-preserving Agentic Framework for Multi-User Chat Assistant

Paper • 2603.01059 • Published 12 days ago • 1
Multi-Domain Riemannian Graph Gluing for Building Graph Foundation Models

Paper • 2603.00618 • Published 13 days ago
Heterogeneous Agent Collaborative Reinforcement Learning

Paper • 2603.02604 • Published 10 days ago • 171

The Trinity of Consistency as a Defining Principle for General World Models

Paper • 2602.23152 • Published 15 days ago • 196
From Blind Spots to Gains: Diagnostic-Driven Iterative Training for Large Multimodal Models

Paper • 2602.22859 • Published 15 days ago • 148
OmniGAIA: Towards Native Omni-Modal AI Agents

Paper • 2602.22897 • Published 15 days ago • 52
Imagination Helps Visual Reasoning, But Not Yet in Latent Space

Paper • 2602.22766 • Published 15 days ago • 40

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

Paper • 2602.08222 • Published Feb 9 • 282

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

Paper • 2602.08222 • Published Feb 9 • 282

about 2 hours ago

BitNet: Scaling 1-bit Transformers for Large Language Models

Paper • 2310.11453 • Published Oct 17, 2023 • 106
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Paper • 2310.11511 • Published Oct 17, 2023 • 78
In-Context Learning Creates Task Vectors

Paper • 2310.15916 • Published Oct 24, 2023 • 44
Matryoshka Diffusion Models

Paper • 2310.15111 • Published Oct 23, 2023 • 45

GLM-5: from Vibe Coding to Agentic Engineering

Paper • 2602.15763 • Published 24 days ago • 108
Recurrent-Depth VLA: Implicit Test-Time Compute Scaling of Vision-Language-Action Models via Latent Iterative Reasoning

Paper • 2602.07845 • Published Feb 8 • 69
LLaDA2.1: Speeding Up Text Diffusion via Token Editing

Paper • 2602.08676 • Published Feb 9 • 70
MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Paper • 2602.02474 • Published Feb 2 • 59

Agentic Reasoning for Large Language Models

Paper • 2601.12538 • Published Jan 18 • 201
From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence

Paper • 2511.18538 • Published Nov 23, 2025 • 301
Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9, 2025 • 273
Weak-Driven Learning: How Weak Agents make Strong Agents Stronger

Paper • 2602.08222 • Published Feb 9 • 282

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

Paper • 2602.08222 • Published Feb 9 • 282
Rethinking Generative Recommender Tokenizer: Recsys-Native Encoding and Semantic Quantization Beyond LLMs

Paper • 2602.02338 • Published Feb 2 • 41
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 • 201

interesting paper

about 1 month ago

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

Paper • 2602.08222 • Published Feb 9 • 282

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

about 11 hours ago

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1, 2024 • 24
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 85
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 152
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 25

about 2 hours ago

BitNet: Scaling 1-bit Transformers for Large Language Models

Paper • 2310.11453 • Published Oct 17, 2023 • 106
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Paper • 2310.11511 • Published Oct 17, 2023 • 78
In-Context Learning Creates Task Vectors

Paper • 2310.15916 • Published Oct 24, 2023 • 44
Matryoshka Diffusion Models

Paper • 2310.15111 • Published Oct 23, 2023 • 45

about 14 hours ago

AgentConductor: Topology Evolution for Multi-Agent Competition-Level Code Generation

Paper • 2602.17100 • Published 22 days ago • 2
GroupGPT: A Token-efficient and Privacy-preserving Agentic Framework for Multi-User Chat Assistant

Paper • 2603.01059 • Published 12 days ago • 1
Multi-Domain Riemannian Graph Gluing for Building Graph Foundation Models

Paper • 2603.00618 • Published 13 days ago
Heterogeneous Agent Collaborative Reinforcement Learning

Paper • 2603.02604 • Published 10 days ago • 171

GLM-5: from Vibe Coding to Agentic Engineering

Paper • 2602.15763 • Published 24 days ago • 108
Recurrent-Depth VLA: Implicit Test-Time Compute Scaling of Vision-Language-Action Models via Latent Iterative Reasoning

Paper • 2602.07845 • Published Feb 8 • 69
LLaDA2.1: Speeding Up Text Diffusion via Token Editing

Paper • 2602.08676 • Published Feb 9 • 70
MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Paper • 2602.02474 • Published Feb 2 • 59

The Trinity of Consistency as a Defining Principle for General World Models

Paper • 2602.23152 • Published 15 days ago • 196
From Blind Spots to Gains: Diagnostic-Driven Iterative Training for Large Multimodal Models

Paper • 2602.22859 • Published 15 days ago • 148
OmniGAIA: Towards Native Omni-Modal AI Agents

Paper • 2602.22897 • Published 15 days ago • 52
Imagination Helps Visual Reasoning, But Not Yet in Latent Space

Paper • 2602.22766 • Published 15 days ago • 40

Agentic Reasoning for Large Language Models

Paper • 2601.12538 • Published Jan 18 • 201
From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence

Paper • 2511.18538 • Published Nov 23, 2025 • 301
Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9, 2025 • 273
Weak-Driven Learning: How Weak Agents make Strong Agents Stronger

Paper • 2602.08222 • Published Feb 9 • 282

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

Paper • 2602.08222 • Published Feb 9 • 282

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

Paper • 2602.08222 • Published Feb 9 • 282
Rethinking Generative Recommender Tokenizer: Recsys-Native Encoding and Semantic Quantization Beyond LLMs

Paper • 2602.02338 • Published Feb 2 • 41
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 • 201

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

Paper • 2602.08222 • Published Feb 9 • 282

interesting paper

about 1 month ago

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

Paper • 2602.08222 • Published Feb 9 • 282

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