[CFP] Call for papers for EvalMG 2026
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The Second Workshop on Evaluation for Multimodal Generation
Multimodal generation and retrieval systems are increasingly central to
modern information retrieval, powering retrieval-augmented generation
(RAG), multimodal search, recommendation, and knowledge-intensive
applications. Despite rapid progress in multimodal large language models
(MLLMs), robust and principled evaluation of multimodal generation and
retrieval remains a major open challenge for the IR community. This
workshop aims to foster discussions and research efforts by bringing
together researchers and practitioners in information retrieval, natural
language processing, computer vision, and multimodal AI. Our goal is to
establish evaluation methods for multimodal research and advance
research efforts in this direction.
CALL FOR PAPERS
Both long papers and short papers (up to 9 pages and 4 pages
respectively, with unlimited references and appendices) are welcome for
submission.
A list of topics relevant to this workshop (but not limited to):
*
Multimodal retrieval for RAG, Agentic AI, recommendation systems
*
Evaluation of retrieved cross-modal samples, without relying on
augmented generation
*
Multi-aspect evaluation methods capturing inter- and intra-modal
coherence, relevance, grounding, and contextual consistency
*
Benchmark retrieval datasets, evaluation protocols and annotations for
text-image-audio-video-3D generation
*
Automatic and human-centric metrics for informativeness, factuality,
fluency, faithfulness, calibration, and usability for multimodal
generation
*
Methodology for detecting, analysing, and mitigating multimodal bias,
stereotypes, toxicity, and hallucinations
*
Evaluation in multimodal low-resource and multilingual settings,
including culturally aware and cross-lingual metrics
*
Agent-based evaluation of multimodal generation in multi-turn, tool-use,
or iterative editing scenarios
*
Game-theoretic or optimization-based formulations of evaluation
objectives and protocols
*
Evaluation of the generation quality of synthetic multimodal data,
provenance/attribution, and downstream impact on training and deployment
*
Ethical considerations in the evaluation of multimodal text generation,
including bias detection and mitigation strategies
*
Evaluation of Security and Privacy Dimensions in Multimodal Applications
*
SUBMISSION INSTRUCTIONS
For direct paper submission, you are invited to submit your papers in
our OpenReview portal [1]. Papers are required to strictly follow the
SIGIR submission guidelines [2]. We invite both long papers [2] (9
pages) and short papers [3] (4 pages) submissions. All the submitted
papers have to be anonymous for double-blind review. All accepted papers
must be presented at the workshop.
IMPORTANT DATES
*
Mar 25, 2026: Submission Open
*
May 2, 2026: Workshop Paper Direct Submission Deadline
*
May 27, 2026: ARR Commitment Date
*
June 2, 2026: Workshop Paper Notification
*
July 24, 2026: Workshop Day
Note: All deadlines are 11:59 PM UTC-12:00 ("Anywhere on Earth")
More Information: https://evalmg.github.io/#submission [4]
Links:
------
[1] https://openreview.net/group?id=ACM.org/SIGIR/2026/Workshop/EvalMG
[2] https://sigir2026.org/en-AU/pages/submissions/full-papers-track
[3] https://sigir2026.org/en-AU/pages/submissions/short-papers-track
[4] https://evalmg.github.io/#submission
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