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Collections including paper arxiv:2506.14234

ChipNeMo: Domain-Adapted LLMs for Chip Design

Paper • 2311.00176 • Published Oct 31, 2023 • 9
Language Models can be Logical Solvers

Paper • 2311.06158 • Published Nov 10, 2023 • 23
JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models

Paper • 2311.05997 • Published Nov 10, 2023 • 37
Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs

Paper • 2311.05657 • Published Nov 9, 2023 • 32

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team

Paper • 2506.14234 • Published Jun 17 • 40

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8 • 783 • 94
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 35
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30 • 96
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23 • 89

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team

Paper • 2506.14234 • Published Jun 17 • 40

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team

Paper • 2506.14234 • Published Jun 17 • 40
MoTE: Mixture of Ternary Experts for Memory-efficient Large Multimodal Models

Paper • 2506.14435 • Published Jun 17 • 8
Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Paper • 2504.19413 • Published Apr 28 • 18
MemOS: A Memory OS for AI System

Paper • 2507.03724 • Published Jul 4 • 144

ChipNeMo: Domain-Adapted LLMs for Chip Design

Paper • 2311.00176 • Published Oct 31, 2023 • 9
Language Models can be Logical Solvers

Paper • 2311.06158 • Published Nov 10, 2023 • 23
JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models

Paper • 2311.05997 • Published Nov 10, 2023 • 37
Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs

Paper • 2311.05657 • Published Nov 9, 2023 • 32

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team

Paper • 2506.14234 • Published Jun 17 • 40

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team

Paper • 2506.14234 • Published Jun 17 • 40

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team

Paper • 2506.14234 • Published Jun 17 • 40
MoTE: Mixture of Ternary Experts for Memory-efficient Large Multimodal Models

Paper • 2506.14435 • Published Jun 17 • 8
Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Paper • 2504.19413 • Published Apr 28 • 18
MemOS: A Memory OS for AI System

Paper • 2507.03724 • Published Jul 4 • 144

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8 • 783 • 94
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 35
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30 • 96
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23 • 89

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