collaborators

23 papers

cs.IR2026

ConnectionMind: Leveraging Social Networks and Large Language Models for Personalized Recommendation at Meta

Haoyu Han, Yuming Liu, Lei Huang +3

Modern recommendation systems on social media platforms such as Meta must model complex social relationships, including friendships, group memberships, and creator interactions, al…

cs.AI2026

Remember When It Matters: Proactive Memory Agent for Long-Horizon Agents

Yifan Wu, Lizhu Zhang, Yuhang Zhou +5

In long-horizon tasks, decision-relevant state is often scattered across an expanding trajectory, while the action agent must surface it and act. As trajectories grow, task require…

cs.SE2026

SWE-Together: Evaluating Coding Agents in Interactive User Sessions

Yifan Wu, Zhuokai Zhao, Songlin Li +8

Most coding-agent benchmarks are static: an agent receives a complete task description up front and is judged only by its final code. Real coding assistance is interactive, with us…

cs.IR2026

NEXT: Reasoning-Driven Video Recommendation via a Vision-Language Model

Yuming Liu, Hongye Yang, Harrison Zhao +5

We present NEXT (Next-interest EXploration Transformer), a reasoning-driven video recommendation framework that reasons over the video a user has just watched, infers the viewer's…

cs.CL2026

SAGE-OPD: Selective Agent-Guided Intervention for Multi-Turn On-Policy Distillation

Yuhang Zhou, Lizhu Zhang, Yifan Wu +5

On-policy distillation (OPD) improves student models by training them on trajectories induced by their own policy, making it a promising approach for mitigating exposure bias in ag…

cs.AI2026

Token-Level LLM Collaboration via FusionRoute

Nuoya Xiong, Yuhang Zhou, Hanqing Zeng +5

Large language models (LLMs) exhibit strengths across diverse domains. However, achieving strong performance across these domains with a single general-purpose model typically requ…