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Collections including paper arxiv:2506.14234

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

Paper • 2506.14234 • Published Jun 17 • 41
MoTE: Mixture of Ternary Experts for Memory-efficient Large Multimodal Models

Paper • 2506.14435 • Published Jun 17 • 7
Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Paper • 2504.19413 • Published Apr 28 • 35
MemOS: A Memory OS for AI System

Paper • 2507.03724 • Published Jul 4 • 157

Reasoning Language Modeling

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

Paper • 2506.14234 • Published Jun 17 • 41
Small Language Models: Architectures, Techniques, Evaluation, Problems and Future Adaptation

Paper • 2505.19529 • Published May 26 • 5

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

Paper • 2506.14234 • Published Jun 17 • 41

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

Reasoning Introduces New Poisoning Attacks Yet Makes Them More Complicated

Paper • 2509.05739 • Published Sep 6 • 2
Loong: Synthesize Long Chain-of-Thoughts at Scale through Verifiers

Paper • 2509.03059 • Published Sep 3 • 24
Universal Deep Research: Bring Your Own Model and Strategy

Paper • 2509.00244 • Published Aug 29 • 13
<think> So let's replace this phrase with insult... </think> Lessons learned from generation of toxic texts with LLMs

Paper • 2509.08358 • Published Sep 10 • 13

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

Paper • 2506.14234 • Published Jun 17 • 41

about 22 hours ago

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8 • 507 • 98
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 36
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23 • 88

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

Paper • 2506.14234 • Published Jun 17 • 41
MoTE: Mixture of Ternary Experts for Memory-efficient Large Multimodal Models

Paper • 2506.14435 • Published Jun 17 • 7
Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Paper • 2504.19413 • Published Apr 28 • 35
MemOS: A Memory OS for AI System

Paper • 2507.03724 • Published Jul 4 • 157

Reasoning Introduces New Poisoning Attacks Yet Makes Them More Complicated

Paper • 2509.05739 • Published Sep 6 • 2
Loong: Synthesize Long Chain-of-Thoughts at Scale through Verifiers

Paper • 2509.03059 • Published Sep 3 • 24
Universal Deep Research: Bring Your Own Model and Strategy

Paper • 2509.00244 • Published Aug 29 • 13
<think> So let's replace this phrase with insult... </think> Lessons learned from generation of toxic texts with LLMs

Paper • 2509.08358 • Published Sep 10 • 13

Reasoning Language Modeling

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

Paper • 2506.14234 • Published Jun 17 • 41
Small Language Models: Architectures, Techniques, Evaluation, Problems and Future Adaptation

Paper • 2505.19529 • Published May 26 • 5

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

Paper • 2506.14234 • Published Jun 17 • 41

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

Paper • 2506.14234 • Published Jun 17 • 41

about 22 hours ago

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8 • 507 • 98
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 36
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23 • 88

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

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