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QuantAgent: Price-Driven Multi-Agent LLMs for High-Frequency Trading
Paper • 2509.09995 • Published • 16 -
TradingAgents: Multi-Agents LLM Financial Trading Framework
Paper • 2412.20138 • Published • 47 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 140 -
Self-Supervised Prompt Optimization
Paper • 2502.06855 • Published • 18
Collections
Discover the best community collections!
Collections including paper arxiv:2502.06855
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Textbooks Are All You Need
Paper • 2306.11644 • Published • 154 -
Self-Improving VLM Judges Without Human Annotations
Paper • 2512.05145 • Published • 20 -
FFP-300K: Scaling First-Frame Propagation for Generalizable Video Editing
Paper • 2601.01720 • Published • 6 -
MM-CRITIC: A Holistic Evaluation of Large Multimodal Models as Multimodal Critique
Paper • 2511.09067 • Published • 2
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Qwen3-TTS Technical Report
Paper • 2601.15621 • Published • 74 -
MemOS: A Memory OS for AI System
Paper • 2507.03724 • Published • 166 -
Self-Supervised Prompt Optimization
Paper • 2502.06855 • Published • 18 -
A decoder-only foundation model for time-series forecasting
Paper • 2310.10688 • Published • 28
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Zep: A Temporal Knowledge Graph Architecture for Agent Memory
Paper • 2501.13956 • Published • 10 -
Self-Supervised Prompt Optimization
Paper • 2502.06855 • Published • 18 -
Agent READMEs: An Empirical Study of Context Files for Agentic Coding
Paper • 2511.12884 • Published • 28 -
Efficient Memory Management for Large Language Model Serving with PagedAttention
Paper • 2309.06180 • Published • 53
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Self-Supervised Prompt Optimization
Paper • 2502.06855 • Published • 18 -
Context Learning for Multi-Agent Discussion
Paper • 2602.02350 • Published • 4 -
XSkill: Continual Learning from Experience and Skills in Multimodal Agents
Paper • 2603.12056 • Published • 33 -
Online Experiential Learning for Language Models
Paper • 2603.16856 • Published • 58
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Agent READMEs: An Empirical Study of Context Files for Agentic Coding
Paper • 2511.12884 • Published • 28 -
Self-Supervised Prompt Optimization
Paper • 2502.06855 • Published • 18 -
YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection
Paper • 2512.23273 • Published • 15 -
Scaling Open-Ended Reasoning to Predict the Future
Paper • 2512.25070 • Published • 20
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QuantAgent: Price-Driven Multi-Agent LLMs for High-Frequency Trading
Paper • 2509.09995 • Published • 16 -
TradingAgents: Multi-Agents LLM Financial Trading Framework
Paper • 2412.20138 • Published • 47 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 140 -
Self-Supervised Prompt Optimization
Paper • 2502.06855 • Published • 18
-
Qwen3-TTS Technical Report
Paper • 2601.15621 • Published • 74 -
MemOS: A Memory OS for AI System
Paper • 2507.03724 • Published • 166 -
Self-Supervised Prompt Optimization
Paper • 2502.06855 • Published • 18 -
A decoder-only foundation model for time-series forecasting
Paper • 2310.10688 • Published • 28
-
Zep: A Temporal Knowledge Graph Architecture for Agent Memory
Paper • 2501.13956 • Published • 10 -
Self-Supervised Prompt Optimization
Paper • 2502.06855 • Published • 18 -
Agent READMEs: An Empirical Study of Context Files for Agentic Coding
Paper • 2511.12884 • Published • 28 -
Efficient Memory Management for Large Language Model Serving with PagedAttention
Paper • 2309.06180 • Published • 53
-
Textbooks Are All You Need
Paper • 2306.11644 • Published • 154 -
Self-Improving VLM Judges Without Human Annotations
Paper • 2512.05145 • Published • 20 -
FFP-300K: Scaling First-Frame Propagation for Generalizable Video Editing
Paper • 2601.01720 • Published • 6 -
MM-CRITIC: A Holistic Evaluation of Large Multimodal Models as Multimodal Critique
Paper • 2511.09067 • Published • 2
-
Self-Supervised Prompt Optimization
Paper • 2502.06855 • Published • 18 -
Context Learning for Multi-Agent Discussion
Paper • 2602.02350 • Published • 4 -
XSkill: Continual Learning from Experience and Skills in Multimodal Agents
Paper • 2603.12056 • Published • 33 -
Online Experiential Learning for Language Models
Paper • 2603.16856 • Published • 58
-
Agent READMEs: An Empirical Study of Context Files for Agentic Coding
Paper • 2511.12884 • Published • 28 -
Self-Supervised Prompt Optimization
Paper • 2502.06855 • Published • 18 -
YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection
Paper • 2512.23273 • Published • 15 -
Scaling Open-Ended Reasoning to Predict the Future
Paper • 2512.25070 • Published • 20