1 citations · 1 across the 3 of their papers we have counts for
5 papers
AgentCPM-Report: Interleaving Drafting and Deepening for Open-Ended Deep Research
Yishan Li, Wentong Chen, Yukun Yan +12
Generating deep research reports requires large-scale information acquisition and the synthesis of insight-driven analysis, posing a significant challenge for current language mode…
AgentCPM-Explore: Realizing Long-Horizon Deep Exploration for Edge-Scale Agents
Haotian Chen, Xin Cong, Shengda Fan +16
While Large Language Model (LLM)-based agents have shown remarkable potential for solving complex tasks, existing systems remain heavily reliant on large-scale models, leaving the…
TADT-CSA: Temporal Advantage Decision Transformer with Contrastive State Abstraction for Generative Recommendation
Xiang Gao, Tianyuan Liu, Yisha Li +5
With the rapid advancement of Transformer-based Large Language Models (LLMs), generative recommendation has shown great potential in enhancing both the accuracy and semantic unders…
Reinforce Lifelong Interaction Value of User-Author Pairs for Large-Scale Recommendation Systems
Yisha Li, Lexi Gao, Jingxin Liu +4
Recommendation systems (RS) help users find interested content and connect authors with their target audience. Most research in RS tends to focus either on predicting users' immedi…
Supervised Learning-enhanced Multi-Group Actor Critic for Live Stream Allocation in Feed
Jingxin Liu, Xiang Gao, Yisha Li +3
In the context of a short video & live stream mixed recommendation scenario, the live stream recommendation system (RS) decides whether to allocate at most one live stream into the…