SIGIR

EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention

Zhen Tian, Wayne Xin Zhao, Changwang Zhang, Xin Zhao, Zhongrui Ma, Ji-Rong Wen

Comments Accepted for publication in SIGIR'24

Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation

Zhe Xu, Daoyuan Chen, Jiayi Kuang, Zihao Yi, Yaliang Li, Ying Shen

Comments Accpeted by SIGIR 2024

Generative Retrieval as Multi-Vector Dense Retrieval

Shiguang Wu, Wenda Wei, Mengqi Zhang, Zhumin Chen, Jun Ma, Zhaochun Ren, Maarten de Rijke, Pengjie Ren

Comments 12 pages, 5 figures, 8 tables, accepted at SIGIR 2024

Can LLMs Master Math? Investigating Large Language Models on Math Stack Exchange

Ankit Satpute, Noah Giessing, Andre Greiner-Petter, Moritz Schubotz, Olaf Teschke, Akiko Aizawa, Bela Gipp

Comments Accepted for publication at the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) July 14--18, 2024, Washington D.C.,USA

Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation

Hanyu Li, Weizhi Ma, Peijie Sun, Jiayu Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Min Zhang, Shaoping Ma

Comments Accepted by SIGIR 2024

Capability-aware Prompt Reformulation Learning for Text-to-Image Generation

Jingtao Zhan, Qingyao Ai, Yiqun Liu, Jia Chen, Shaoping Ma

Comments Accepted at SIGIR 2024

Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors

Binzong Geng, Zhaoxin Huan, Xiaolu Zhang, Yong He, Liang Zhang, Fajie Yuan, Jun Zhou, Linjian Mo

Comments Accepted by the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024

Instruction-based Hypergraph Pretraining

Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu

Comments Accepted by SIGIR'24

Lightweight Embeddings for Graph Collaborative Filtering

Xurong Liang, Tong Chen, Lizhen Cui, Yang Wang, Meng Wang, Hongzhi Yin

Comments Accepted by SIGIR '24

Re-ranking Based Diversification: A Unifying View

Shameem A Puthiya Parambath

Journal ref Proceedings of the 2022 ACM SIGIR International Conference on Theory of Information Retrieval

Sequential Recommendation with Latent Relations based on Large Language Model

Shenghao Yang, Weizhi Ma, Peijie Sun, Qingyao Ai, Yiqun Liu, Mingchen Cai, Min Zhang

Comments Accepted by SIGIR 2024

MIND Your Language: A Multilingual Dataset for Cross-lingual News Recommendation

Andreea Iana, Goran Glavaš, Heiko Paulheim

Comments Accepted at the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024)

ArabicaQA: A Comprehensive Dataset for Arabic Question Answering

Abdelrahman Abdallah, Mahmoud Kasem, Mahmoud Abdalla, Mohamed Mahmoud, Mohamed Elkasaby, Yasser Elbendary, Adam Jatowt

Comments Accepted at SIGIR 2024

Learning to Ask Critical Questions for Assisting Product Search

Zixuan Li, Lizi Liao, Tat-Seng Chua

Comments SIGIR eCom'22

Disentangled Contrastive Collaborative Filtering

Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang

Comments Published as a SIGIR'23 full paper

LADER: Log-Augmented DEnse Retrieval for Biomedical Literature Search

Qiao Jin, Ashley Shin, Zhiyong Lu

Comments SIGIR 2023

Task Supportive and Personalized Human-Large Language Model Interaction: A User Study

Ben Wang, Jiqun Liu, Jamshed Karimnazarov, Nicolas Thompson

Journal ref Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval

Multimodal Neural Databases

Giovanni Trappolini, Andrea Santilli, Emanuele Rodolà, Alon Halevy, Fabrizio Silvestri

Journal ref SIGIR 2023: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval

BibSonomy Meets ChatLLMs for Publication Management: From Chat to Publication Management: Organizing your related work using BibSonomy & LLMs

Tom Völker, Jan Pfister, Tobias Koopmann, Andreas Hotho

Comments Accepted at 2024 ACM SIGIR CHIIR, For a demo see here http://professor-x.de/demos/bibsonomy-chatgpt/demo.mp4

Walert: Putting Conversational Search Knowledge into Action by Building and Evaluating a Large Language Model-Powered Chatbot

Sachin Pathiyan Cherumanal, Lin Tian, Futoon M. Abushaqra, Angel Felipe Magnossao de Paula, Kaixin Ji, Danula Hettiachchi, Johanne R. Trippas, Halil Ali, Falk Scholer, Damiano Spina

Comments Accepted at 2024 ACM SIGIR CHIIR

Learning Unsupervised Semantic Document Representation for Fine-grained Aspect-based Sentiment Analysis

Hao-Ming Fu, Pu-Jen Cheng

Comments International ACM SIGIR Conference 2019

Journal ref SIGIR 2019: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, Pages 1105 to 1108

DocGraphLM: Documental Graph Language Model for Information Extraction

Dongsheng Wang, Zhiqiang Ma, Armineh Nourbakhsh, Kang Gu, Sameena Shah

Comments Published at SIGIR'23 (repost for easier access)

Large Search Model: Redefining Search Stack in the Era of LLMs

Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei

Comments SIGIR Forum, Vol. 57 No. 2 - December 2023

FrameFinder: Explorative Multi-Perspective Framing Extraction from News Headlines

Markus Reiter-Haas, Beate Klösch, Markus Hadler, Elisabeth Lex

Comments Accepted for publication at CHIIR'24

Journal ref Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval

Law Article-Enhanced Legal Case Matching: a Causal Learning Approach

Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen

Comments 10 pages accepted by SIGIR2023

Journal ref SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information RetrievalJuly 2023

Boosting legal case retrieval by query content selection with large language models

Youchao Zhou, Heyan Huang, Zhijing Wu

Comments This work was accepted as 23-SIGIR-AP main conference paper

Rethinking E-Commerce Search

Haixun Wang, Taesik Na

Journal ref SIGIR Forum 57, 2, Article 24 (December 2023), 19 pages

On Exploring the Reasoning Capability of Large Language Models with Knowledge Graphs

Pei-Chi Lo, Yi-Hang Tsai, Ee-Peng Lim, San-Yih Hwang

Comments Presented at the Generative-IR Workshop during SIGIR 2023. https://coda.io/@sigir/gen-ir

Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation

Liangcai Su, Fan Yan, Jieming Zhu, Xi Xiao, Haoyi Duan, Zhou Zhao, Zhenhua Dong, Ruiming Tang

Comments Accepted by SIGIR 2023. Code will be available at https://reczoo.github.io/SparCode

Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval

Shengyao Zhuang, Linjun Shou, Jian Pei, Ming Gong, Houxing Ren, Guido Zuccon, Daxin Jiang

Comments 10 pages, accepted at SIGIR-AP