6 citations · 6 across the 5 of their papers we have counts for
4 papers · 1 filter
Grounding Memory Summarization in Utility Intent
Zhenyu Lei, Mingjia Shi, Xingbo Fu +3
Existing summarizers for memory systems are typically optimized for human-facing criteria such as faithfulness, which misaligns with their true objective: preserving the evidence n…
Compute Allocation for Self-Evolving LLMs: From Depth-Breadth to Multi-Armed Bandits
Sixue Xing, Haoyu He, Kerui Wu +4
LLM-guided evolutionary search (Evolve systems) has reached state-of-the-art results on mathematical and combinatorial tasks, yet most existing systems report only the best of many…
Fine-Tuned LLM as a Complementary Predictor Improving Ads System
Hui Yang, Daiwei He, Kevin Jiang +20
Recommendation systems power engagement and monetization across feeds, ads, and short-video platforms, but translating the latest advances in Large Language Models into Recommendat…
Structural Graph Probing of Vision-Language Models
Haoyu He, Yue Zhuo, Yu Zheng +1
Vision-language models (VLMs) achieve strong multimodal performance, yet how computation is organized across populations of neurons remains poorly understood. In this work, we stud…