Accepted Papers

We are pleased to announce the papers accepted to EARL 2026. All accepted papers will be presented orally at the workshop on 8 November 2026 (times are local Rome time, CET). See the full schedule for the complete programme.

Long Talks

• 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 (09:40–10:00).
• Dialogue Generation for Conversational Recommendation Using User Search Interactions and Knowledge Graphs — Donggyu Yoon, Minsung Hwang, Kwanghee Jang, Gowoon Hwang and Joyce Jiyoung Whang (11:30–11:50).
• Format Compliance without Detectable Preference Gain: A Paired Audit of Post-Trained LLM Recommenders — Shiming Xie (11:50–12:10).

Short Talks

• 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 (10:00–10:10).
• Encoded but Exposed: Language Embeddings can Reveal More Than They Should in Recommender Systems — Linda Beková and Rodrigo Alves (10:10–10:20).
• When to Ask: A Framework for Interruption-Aware Conversational Recommendation — Sanjana Arun (10:20–10:30).
• Validity Lag: Why LLM Recommender Evaluation Keeps Failing the Same Way — Shiming Xie (10:30–10:40).
• Persona Aware Session-Based Recommendation with LLM-Enhanced Knowledge Graphs — Muskan Gupta, Priyanka Gupta and Jyotsana Khatri (12:10–12:20).
• 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 (12:20–12:30).
• Preprocessing Choices in Fine-Tuning Data Matter: Utility and Demographic Sensitivity in LLM-Based Recommendation — Furkan Yasir Goksu, Yaren Yilmaz and Şule Gündüz Öğüdücü (12:30–12:40).
• Revisiting Generative vs. Dense Retrieval: A Static Value Prior Reverses the Gap — Renbo Tu, Yang Liu and Shuying Sun (12:40–12:50).