BaichuanSEED: Sharing the Potential of ExtensivE Data Collection and Deduplication by Introducing a Competitive Large Language Model Baseline
Paper • 2408.15079 • Published • 55
Lingxiang Hu
Chrisp33
AI & ML interests
agent
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Towards Faithful Industrial RAG: A Reinforced Co-adaptation Framework for Advertising QA upvoted a paper about 15 hours ago
Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG TrainingOrganizations
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upvoted 4
papers about 15 hours ago
Towards Faithful Industrial RAG: A Reinforced Co-adaptation Framework for Advertising QA
Paper • 2602.22584 • Published • 5
Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG Training
Paper • 2602.22576 • Published • 4
AD-Bench: A Real-World, Trajectory-Aware Advertising Analytics Benchmark for LLM Agents
Paper • 2602.14257 • Published • 4