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Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
Paper • 2508.09789 • Published • 5 -
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
Paper • 2508.13186 • Published • 18 -
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents
Paper • 2508.04038 • Published • 1 -
Prompt Orchestration Markup Language
Paper • 2508.13948 • Published • 48
Collections
Discover the best community collections!
Collections including paper arXiv:2510.02209
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AlphaQuanter: An End-to-End Tool-Orchestrated Agentic Reinforcement Learning Framework for Stock Trading
Paper • 2510.14264 • Published • 9 -
QTMRL: An Agent for Quantitative Trading Decision-Making Based on Multi-Indicator Guided Reinforcement Learning
Paper • 2508.20467 • Published -
ATLAS: Adaptive Trading with LLM AgentS Through Dynamic Prompt Optimization and Multi-Agent Coordination
Paper • 2510.15949 • Published -
When Agents Trade: Live Multi-Market Trading Benchmark for LLM Agents
Paper • 2510.11695 • Published
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SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models
Paper • 2506.04180 • Published • 33 -
AniMaker: Automated Multi-Agent Animated Storytelling with MCTS-Driven Clip Generation
Paper • 2506.10540 • Published • 37 -
AutoMind: Adaptive Knowledgeable Agent for Automated Data Science
Paper • 2506.10974 • Published • 18 -
SPAR: Scholar Paper Retrieval with LLM-based Agents for Enhanced Academic Search
Paper • 2507.15245 • Published • 11
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StockBench: Can LLM Agents Trade Stocks Profitably In Real-world Markets?
Paper • 2510.02209 • Published • 52 -
MM-DREX: Multimodal-Driven Dynamic Routing of LLM Experts for Financial Trading
Paper • 2509.05080 • Published -
TradingGroup: A Multi-Agent Trading System with Self-Reflection and Data-Synthesis
Paper • 2508.17565 • Published -
QTMRL: An Agent for Quantitative Trading Decision-Making Based on Multi-Indicator Guided Reinforcement Learning
Paper • 2508.20467 • Published
-
Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
Paper • 2508.09789 • Published • 5 -
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
Paper • 2508.13186 • Published • 18 -
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents
Paper • 2508.04038 • Published • 1 -
Prompt Orchestration Markup Language
Paper • 2508.13948 • Published • 48
-
SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models
Paper • 2506.04180 • Published • 33 -
AniMaker: Automated Multi-Agent Animated Storytelling with MCTS-Driven Clip Generation
Paper • 2506.10540 • Published • 37 -
AutoMind: Adaptive Knowledgeable Agent for Automated Data Science
Paper • 2506.10974 • Published • 18 -
SPAR: Scholar Paper Retrieval with LLM-based Agents for Enhanced Academic Search
Paper • 2507.15245 • Published • 11
-
AlphaQuanter: An End-to-End Tool-Orchestrated Agentic Reinforcement Learning Framework for Stock Trading
Paper • 2510.14264 • Published • 9 -
QTMRL: An Agent for Quantitative Trading Decision-Making Based on Multi-Indicator Guided Reinforcement Learning
Paper • 2508.20467 • Published -
ATLAS: Adaptive Trading with LLM AgentS Through Dynamic Prompt Optimization and Multi-Agent Coordination
Paper • 2510.15949 • Published -
When Agents Trade: Live Multi-Market Trading Benchmark for LLM Agents
Paper • 2510.11695 • Published
-
StockBench: Can LLM Agents Trade Stocks Profitably In Real-world Markets?
Paper • 2510.02209 • Published • 52 -
MM-DREX: Multimodal-Driven Dynamic Routing of LLM Experts for Financial Trading
Paper • 2509.05080 • Published -
TradingGroup: A Multi-Agent Trading System with Self-Reflection and Data-Synthesis
Paper • 2508.17565 • Published -
QTMRL: An Agent for Quantitative Trading Decision-Making Based on Multi-Indicator Guided Reinforcement Learning
Paper • 2508.20467 • Published