yang
dearaj23
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AI & ML interests
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Recent Activity
updated
a collection
about 4 hours ago
multi-agent
upvoted
a
paper
about 1 month ago
Memory in the Age of AI Agents
liked
a dataset
2 months ago
openai/gsm8k
Organizations
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RL
multi-agent
-
MALT: Improving Reasoning with Multi-Agent LLM Training
Paper • 2412.01928 • Published • 45 -
Multi-Agent System for Comprehensive Soccer Understanding
Paper • 2505.03735 • Published • 25 -
DITING: A Multi-Agent Evaluation Framework for Benchmarking Web Novel Translation
Paper • 2510.09116 • Published • 95 -
basicv8vc/SimpleQA
Viewer • Updated • 4.33k • 3.07k • 29
CoT
memory
deep research
-
Scaling Agents via Continual Pre-training
Paper • 2509.13310 • Published • 117 -
WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning
Paper • 2509.13305 • Published • 91 -
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
Paper • 2510.05592 • Published • 106 -
Explore to Evolve: Scaling Evolved Aggregation Logic via Proactive Online Exploration for Deep Research Agents
Paper • 2510.14438 • Published • 13
LLM
survey
Agent Benchmark
memory
RL
deep research
-
Scaling Agents via Continual Pre-training
Paper • 2509.13310 • Published • 117 -
WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning
Paper • 2509.13305 • Published • 91 -
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
Paper • 2510.05592 • Published • 106 -
Explore to Evolve: Scaling Evolved Aggregation Logic via Proactive Online Exploration for Deep Research Agents
Paper • 2510.14438 • Published • 13
multi-agent
-
MALT: Improving Reasoning with Multi-Agent LLM Training
Paper • 2412.01928 • Published • 45 -
Multi-Agent System for Comprehensive Soccer Understanding
Paper • 2505.03735 • Published • 25 -
DITING: A Multi-Agent Evaluation Framework for Benchmarking Web Novel Translation
Paper • 2510.09116 • Published • 95 -
basicv8vc/SimpleQA
Viewer • Updated • 4.33k • 3.07k • 29
LLM
CoT
survey