works on

From the 2 of 17 linked papers with an AI index.

collaborators

17 papers

cs.IR2026

Role of Personality in Conversational Information Seeking

Abdisalam Abukar, Junchen Fu, Chengli Zhai +1

Large language models (LLMs) are increasingly used for information seeking, where users find, compare, and evaluate information through dialogue. In this role, the assistant does m…

cs.IR2026

RecRec: Latent Interests Recursive Reasoning for Sequential Recommendation

Wenhao Deng, Junchen Fu, Hanwen Du +6

The paper introduces RecRec, a framework that separates reasoning from prediction in sequential recommendation by compressing user histories into multiple latent interests and recu…

cs.AI2026

Do We Really Need Multimodal Emotion Language Models Larger Than 1B Parameters?

Kaiwen Zheng, Junchen Fu, Wenhao Deng +3

The paper introduces Light-MER, a sub‑billion‑parameter multimodal emotion recognition model that uses knowledge distillation, an optimal transport loss, and a multi‑reward optimiz…

cs.IR2026

Stream-aware Side Adaptation for Large Pre-trained Multimodal Embedding Models in Sequential Recommendation

Junchen Fu, Kaiwen Zheng, Ioannis Arapakis +4

Recently, large pretrained multimodal embedding models such as Qwen3-VL Embedding have shown strong promise for sequential recommendation, as they provide reusable semantic item re…

cs.AI2026

FrED: External Data Influence Estimation via Domain Knowledge Graph Grounding

Theodoros Aivalis, Iraklis A. Klampanos, Antonis Troumpoukis +1

The rapid deployment of generative AI has amplified the critical need for Training Data Attribution to ensure transparency and accountability. However, current parametric approache…

cs.IR2026

The 2nd EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval

Junchen Fu, Xuri Ge, Xin Xin +6

Multimodal representation learning has attracted increasing attention in AI, driven by the strong performance of large, pretrained multimodal foundation models such as Qwen, LLaVA,…