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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Yutong Song

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7 papers indexed here

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Preprint Oct 2026

Hippo: Training-Free Agent Self-Evolution via Hippocampal Replay

Motivated by recursive self-improvement (RSI), we study how LLM agents can learn through external memory without updating model parameters. Extracting useful experience from a single attempt is difficult: flawed reasoning can produce success, while poor execution can obscure a sound strategy. Preserving its value over...

Yu-Tong Song, Jiang Wu, Yu-Xin Ren et al. · 0 citations
Preprint Oct 2026

DuoLM: Fast and Effective Personalized Recommendation with Language Models

DuoLM is introduced, a framework for fast and effective personalized recommendation that integrates a compact recommendation model with an efficient serving runtime that accelerates inference through virtual token IDs for embedding access, shared history computation, and CUDA Graph replay.

Jiang Wu, Yu-Tong Song, Hong-Bo Wang et al. · 0 citations
#artificial intelligence Conference Open access Sep 2025

Domain-Specific Constitutional AI: Enhancing Safety in LLM-Powered Mental Health Chatbots

This work introduces an approach to apply Constitutional AI training with domain-specific mental health principles for safe, domain-adapted CAI systems in computational mental health applications.

Chenhan Lyu, Yu-Tong Song, Pengfei Zhang et al. · 7 citations
#artificial intelligence Preprint Jan 2026

Do Implicit Personalization and Explicit Styles Conflict? PsPLUG: A Lightweight Plug-in for Balancing Personalization and Style in Customized LLMs

PsPLUG is proposed, a lightweight plug-in that learns a user-specific residual after accounting for the requested style, and better preserves user preferences while providing precise control over the balance between personalization and style adherence.

Yutong Song, Jiang Wu, Shaofan Yuan et al. · 1 citation
#artificial intelligence Jan 2026

CARD: Cluster-level Adaptation with Reward-guided Decoding for Personalized Text Generation

This work presents CARD, a hierarchical framework that achieves effective personalization through progressive refinement that first clusters users according to shared stylistic patterns and learns group-specific LoRA adapters, enabling robust generalization and strong low-resource performance.

Yu-Tong Song, Jiang Wu, Weijia Zhang et al. · 3 citations
Review Jul 2026

The empowerment of Science of Science by large language models: New tools and methods

Large language models (LLMs) have exhibited exceptional capabilities in natural language understanding and generation, image recognition, and multimodal tasks, charting a course toward artificial general intelligence and emerging as a central issue in the global technological race. This article conducts a comprehensive...

Guo-Qiang Liang, Jingqian Gong, Mengxuan Li et al. · 0 citations
Preprint Aug 2026

AudioLens: Multi-Perspective Speech Clustering with Reasoning Audio-Language Models

This work introduces audio multi-perspective clustering, where a model directly partitions speech recordings according to a natural-language perspective while inferring both the number of clusters and their assignments.

Wen-Jun Huang, Q. Chu, Tiger Shao et al. · 0 citations

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