SIGIR

TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning

Jing Zhu, Xiang Song, Vassilis N. Ioannidis, Danai Koutra, Christos Faloutsos

Comments SIGIR 2024

Robust-IR @ SIGIR 2025: The First Workshop on Robust Information Retrieval

Yu-An Liu, Haya Nachimovsky, Ruqing Zhang, Oren Kurland, Jiafeng Guo, Moshe Tennenholtz

Comments Accept by SIGIR 2025

Multimodal Search in Chemical Documents and Reactions

Ayush Kumar Shah, Abhisek Dey, Leo Luo, Bryan Amador, Patrick Philippy, Ming Zhong, Siru Ouyang, David Mark Friday, David Bianchi, Nick Jackson, Richard Zanibbi, Jiawei Han

Comments 4 pages, 2 figures, SIGIR 2025 Demonstration Submission

Adaptive In-Context Learning with Large Language Models for Bundle Generation

Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu

Comments Accepted by SIGIR 2024

Journal ref The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2024

Axiomatic Causal Interventions for Reverse Engineering Relevance Computation in Neural Retrieval Models

Catherine Chen, Jack Merullo, Carsten Eickhoff

Comments 10 pages, 10 figures, updated version of SIGIR 2024 perspective paper

HintEval: A Comprehensive Framework for Hint Generation and Evaluation for Questions

Jamshid Mozafari, Bhawna Piryani, Abdelrahman Abdallah, Adam Jatowt

Comments Submitted to SIGIR 2025

Can Generative LLMs Create Query Variants for Test Collections? An Exploratory Study

Marwah Alaofi, Luke Gallagher, Mark Sanderson, Falk Scholer, Paul Thomas

Comments Published in the proceedings of SIGIR'23

LLMs can be Fooled into Labelling a Document as Relevant (best café near me; this paper is perfectly relevant)

Marwah Alaofi, Paul Thomas, Falk Scholer, Mark Sanderson

Comments Published in the proceedings of SIGIR-AP'24

On Generative Agents in Recommendation

An Zhang, Yuxin Chen, Leheng Sheng, Xiang Wang, Tat-Seng Chua

Comments SIGIR 2024 perspective paper

Data Fusion of Synthetic Query Variants With Generative Large Language Models

Timo Breuer

Comments The definitive version of record was published in SIGIR-AP '24

JPEC: A Novel Graph Neural Network for Competitor Retrieval in Financial Knowledge Graphs

Wanying Ding, Manoj Cherukumalli, Santosh Chikoti, Vinay K. Chaudhri

Comments 5 pages, 4 figures, accepted by SIGIR'24

R^3AG: First Workshop on Refined and Reliable Retrieval Augmented Generation

Zihan Wang, Xuri Ge, Joemon M. Jose, Haitao Yu, Weizhi Ma, Zhaochun Ren, Xin Xin

Comments R^3AG workshop overview at SIGIR-AP 2024

LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems

Langming Liu, Xiangyu Zhao, Chi Zhang, Jingtong Gao, Wanyu Wang, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu, Qing Li

Comments SIGIR 2023

MACRec: a Multi-Agent Collaboration Framework for Recommendation

Zhefan Wang, Yuanqing Yu, Wendi Zheng, Weizhi Ma, Min Zhang

Comments Accepted by SIGIR2024

Journal ref ACM SIGIR Conference on Research and Development in Information Retrieval 47 (2024) 2760-2764

Can Users Detect Biases or Factual Errors in Generated Responses in Conversational Information-Seeking?

Weronika Łajewska, Krisztian Balog, Damiano Spina, Johanne Trippas

Comments Extended version of the paper that appeared in the Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region (SIGIR-AP '24)

Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommender Systems

Dayu Yang, Fumian Chen, Hui Fang

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

ZeQR: Zero-shot Query Reformulation for Conversational Search

Dayu Yang, Yue Zhang, Hui Fang

Comments Accepted by the 9th ACM SIGIR International Conference on the Theory of Information Retrieval

Report on the Workshop on Simulations for Information Access (Sim4IA 2024) at SIGIR 2024

Timo Breuer, Christin Katharina Kreutz, Norbert Fuhr, Krisztian Balog, Philipp Schaer, Nolwenn Bernard, Ingo Frommholz, Marcel Gohsen, Kaixin Ji, Gareth J. F. Jones, Jüri Keller, Jiqun Liu, Martin Mladenov, Gabriella Pasi, Johanne Trippas, Xi Wang, Saber Zerhoudi, ChengXiang Zhai

Comments Preprint of a SIGIR Forum submission for Vol. 58 No. 2 - December 2024

Long or Short or Both? An Exploration on Lookback Time Windows of Behavioral Features in Product Search Ranking

Qi Liu, Atul Singh, Jingbo Liu, Cun Mu, Zheng Yan, Jan Pedersen

Comments Published in ACM SIGIR Workshop on eCommerce 2024

C-Pack: Packed Resources For General Chinese Embeddings

Shitao Xiao, Zheng Liu, Peitian Zhang, Niklas Muennighoff, Defu Lian, Jian-Yun Nie

Comments SIGIR 2024

Shaping the Future of Endangered and Low-Resource Languages -- Our Role in the Age of LLMs: A Keynote at ECIR 2024

Josiane Mothe

Journal ref Sigir Forum, 2024, 58 (1), pp.1-13

NFARec: A Negative Feedback-Aware Recommender Model

Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Dongjin Yu

Comments Accepted to SIGIR 2024

CaDRec: Contextualized and Debiased Recommender Model

Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Jiyi Li, Dongjin Yu

Comments Accepted to SIGIR 2024

Genetic Approach to Mitigate Hallucination in Generative IR

Hrishikesh Kulkarni, Nazli Goharian, Ophir Frieder, Sean MacAvaney

Comments Gen-IR@SIGIR 2024

Journal ref The Second Workshop on Generative Information Retrieval at ACM SIGIR 2024

ACE-2005-PT: Corpus for Event Extraction in Portuguese

Luís Filipe Cunha, Purificação Silvano, Ricardo Campos, Alípio Jorge

Journal ref SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024)

A Novel Evaluation Framework for Image2Text Generation

Jia-Hong Huang, Hongyi Zhu, Yixian Shen, Stevan Rudinac, Alessio M. Pacces, Evangelos Kanoulas

Comments The paper has been accepted for presentation at the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, specifically in the Large Language Model for Evaluation in IR (LLM4Eval) Workshop in 2024

Toward Automatic Relevance Judgment using Vision--Language Models for Image--Text Retrieval Evaluation

Jheng-Hong Yang, Jimmy Lin

Comments Accepted by ACM SIGIR 2024 LLM4Eval Workshop: https://llm4eval.github.io/papers

The Impact of Quantization on Retrieval-Augmented Generation: An Analysis of Small LLMs

Mert Yazan, Suzan Verberne, Frederik Situmeang

Comments Accepted to the IR-RAG Workshop at SIGIR 2024

Large Language Models for Next Point-of-Interest Recommendation

Peibo Li, Maarten de Rijke, Hao Xue, Shuang Ao, Yang Song, Flora D. Salim

Journal ref In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Association for Computing Machinery, New York, NY, USA, 1463-1472

General-Purpose User Modeling with Behavioral Logs: A Snapchat Case Study

Qixiang Fang, Zhihan Zhou, Francesco Barbieri, Yozen Liu, Leonardo Neves, Dong Nguyen, Daniel L. Oberski, Maarten W. Bos, Ron Dotsch

Comments SIGIR 2024