Accepted Papers

We are pleased to announce the papers accepted to EARL 2026. The assignment to oral and poster presentations will be announced with the detailed programme.

• Beyond Posts: Recommending Conversations in Threads Feed — Xiuyan Ni, Qing Feng, Eric He, Akhil Nadigatla, Adam Kozdrowicz, Emerson Wenzel, Runbo Jiang, Nicholas Joodi, Xiaoyu Cao, Zichao Li, Joy Qiu, Shuting Wang, Shujian Bu and Ivan Ji.
• From Raw IDs to Semantic Planning: How Recommender Systems Utilize Information at Scale — Changhong Jin, Shiqiu Yang, Roger Zhe Li, Yingjie Niu, Aghiles Salah, Mete Sertkan, Zheng Ju, Xingsheng Guo, Huifeng Guo, Ruihai Dong and Barry Smyth.
• Dialogue Generation for Conversational Recommendation Using User Search Interactions and Knowledge Graphs — Donggyu Yoon, Minsung Hwang, Kwanghee Jang, Gowoon Hwang and Joyce Jiyoung Whang.
• From a Large-Scale Teacher to Efficient Multimodal Students for Search Relevance Prediction — Tomasz Gniazdowski, Mohammadreza Momenifar, Nadia Vase, Shahram Khadivi, Wiktor Walentynowicz, Nicola Ueffing, Jan Pawłowski, Piotr Szymański and Abraham Bagherjeiran.
• Encoded but Exposed: Language Embeddings can Reveal More Than They Should in Recommender Systems — Linda Beková and Rodrigo Alves.
• Preprocessing Choices in Fine-Tuning Data Matter: Utility and Demographic Sensitivity in LLM-Based Recommendation — Furkan Yasir Goksu, Yaren Yilmaz and Şule Gündüz Öğüdücü.
• Revisiting Generative vs. Dense Retrieval: A Static Value Prior Reverses the Gap — Renbo Tu, Yang Liu and Shuying Sun.
• Format Compliance without Detectable Preference Gain: A Paired Audit of Post-Trained LLM Recommenders — Shiming Xie.
• When to Ask: A Framework for Interruption-Aware Conversational Recommendation — Sanjana Arun.
• Persona Aware Session-Based Recommendation with LLM-Enhanced Knowledge Graphs — Muskan Gupta, Priyanka Gupta and Jyotsana Khatri.
• Validity Lag: Why LLM Recommender Evaluation Keeps Failing the Same Way — Shiming Xie.