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Collections including paper arxiv:2505.24293

Large Language Models are Locally Linear Mappings

Paper • 2505.24293 • Published May 30 • 15
Vision-Language-Vision Auto-Encoder: Scalable Knowledge Distillation from Diffusion Models

Paper • 2507.07104 • Published Jul 9 • 45
KV Cache Steering for Inducing Reasoning in Small Language Models

Paper • 2507.08799 • Published Jul 11 • 40

Analysis papers

Embodied Agents Meet Personalization: Exploring Memory Utilization for Personalized Assistance

Paper • 2505.16348 • Published May 22 • 53
Exploring the Latent Capacity of LLMs for One-Step Text Generation

Paper • 2505.21189 • Published May 27 • 62
Large Language Models are Locally Linear Mappings

Paper • 2505.24293 • Published May 30 • 15
Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers

Paper • 2507.02694 • Published Jul 3 • 18

about 24 hours ago

CoRAG: Collaborative Retrieval-Augmented Generation

Paper • 2504.01883 • Published Apr 2 • 10
SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning

Paper • 2504.08600 • Published Apr 11 • 30
Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL

Paper • 2503.23157 • Published Mar 29 • 11
AI Agents: Evolution, Architecture, and Real-World Applications

Paper • 2503.12687 • Published Mar 16 • 2

Understanding LLM Representation

Large Language Models are Locally Linear Mappings

Paper • 2505.24293 • Published May 30 • 15

about 6 hours ago

microsoft/bitnet-b1.58-2B-4T

Text Generation • 0.8B • Updated May 1 • 5.88k • 1.16k
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models

Paper • 2504.10449 • Published Apr 14 • 14
nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct

Text Generation • 8B • Updated Apr 17 • 1.15k • 15
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

Paper • 2504.11536 • Published Apr 15 • 61

I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24 • 121
Large Language Models are Locally Linear Mappings

Paper • 2505.24293 • Published May 30 • 15
Thought Anchors: Which LLM Reasoning Steps Matter?

Paper • 2506.19143 • Published Jun 23 • 12

Large Language Models are Locally Linear Mappings

Paper • 2505.24293 • Published May 30 • 15
Vision-Language-Vision Auto-Encoder: Scalable Knowledge Distillation from Diffusion Models

Paper • 2507.07104 • Published Jul 9 • 45
KV Cache Steering for Inducing Reasoning in Small Language Models

Paper • 2507.08799 • Published Jul 11 • 40

Understanding LLM Representation

Large Language Models are Locally Linear Mappings

Paper • 2505.24293 • Published May 30 • 15

Analysis papers

Embodied Agents Meet Personalization: Exploring Memory Utilization for Personalized Assistance

Paper • 2505.16348 • Published May 22 • 53
Exploring the Latent Capacity of LLMs for One-Step Text Generation

Paper • 2505.21189 • Published May 27 • 62
Large Language Models are Locally Linear Mappings

Paper • 2505.24293 • Published May 30 • 15
Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers

Paper • 2507.02694 • Published Jul 3 • 18

about 6 hours ago

microsoft/bitnet-b1.58-2B-4T

Text Generation • 0.8B • Updated May 1 • 5.88k • 1.16k
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models

Paper • 2504.10449 • Published Apr 14 • 14
nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct

Text Generation • 8B • Updated Apr 17 • 1.15k • 15
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

Paper • 2504.11536 • Published Apr 15 • 61

about 24 hours ago

CoRAG: Collaborative Retrieval-Augmented Generation

Paper • 2504.01883 • Published Apr 2 • 10
SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning

Paper • 2504.08600 • Published Apr 11 • 30
Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL

Paper • 2503.23157 • Published Mar 29 • 11
AI Agents: Evolution, Architecture, and Real-World Applications

Paper • 2503.12687 • Published Mar 16 • 2

I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24 • 121
Large Language Models are Locally Linear Mappings

Paper • 2505.24293 • Published May 30 • 15
Thought Anchors: Which LLM Reasoning Steps Matter?

Paper • 2506.19143 • Published Jun 23 • 12

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