Panoramic Interests: Stylistic-Content Aware Personalized Headline Generation
Paper • 2501.11900 • Published • 6 •
2
Lian Junhong
THEATLAS
AI & ML interests
Natural language processing (NLP), personalized generation in large language models (LLMs), and applications of NLP in the financial domain.
Recent Activity
posted an update about 11 hours ago
🤖 We train LLMs — but how do LLMs reshape AI research itself?
Sharing our new survey, AI4AIR: A Comprehensive Survey on Large Language Models for AI Research 📚
Rather than treating LLMs as outside helpers for writing or literature review, we map how they enter the ML pipeline itself — through a 2D taxonomy (research domain × pipeline stage) and 5 recurring roles:
🏷️ Annotator · 🧪 Synthesizer · ⚙️ Optimizer · 📊 Evaluator · 🎛️ Orchestrator
Our key takeaway: how deeply an LLM can empower a stage is bounded by its validation cost — which is exactly why data annotation & evaluation are already mature, while model design & full-loop orchestration remain hard.
📄 Paper (PDF): https://github.com/ICT-FinD-Lab/Awesome-LLMs-for-AI-Research/blob/master/PDF/AI4AIR_Survey_v260601.pdf
🌐 Project: https://ict-find-lab.github.io/Awesome-LLMs-for-AI-Research
⭐ GitHub: https://github.com/ICT-FinD-Lab/Awesome-LLMs-for-AI-Research
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