DTISO CFP: The IEEE co-sponsored International Conference on Digital Transformation and Intelligent SOciety, 17 – 20 November 2026 | Barcelona, Spain

NEmo 2026 @ NeurIPS Symbolic Embodied Intelligence (deadline 10 Sept)

Dear all,

We are pleased to announce NEmo 2026: Neuro-Symbolic Embodied Intelligence, a workshop at NeurIPS 2026, taking place on December 12, 2026 in Sydney, Australia.

NEmo focuses on long-lived autonomous agents that perceive, reason, plan, learn and adapt over extended interactions in physical or richly simulated environments. Perception is where much of this is decided: how the output of learned vision becomes something an agent can reason over, how those symbols stay grounded as the scene changes, and what happens when the perceptual commitment was simply wrong.

Topics of interest include:

  • combining learned perception, reinforcement learning and large language models with planning and structured symbolic knowledge
  • grounding and shared semantics
  • memory over long horizons
  • affordances
  • recovery from failed assumptions

We accept ongoing and already published work as well as new contributions.

Important dates

  • Submission deadline: September 10, 2026
  • Workshop date: December 12, 2026

Website: https://nemo.semantic.review
OpenReview: https://openreview.net/group?id=NeurIPS.cc/2026/Workshop/NEmo

Best,
The NEmo 2026 Organizing Committee

Special Issue: Information Theory and Large Language Models

Dear all,
We are excited to announce the Special Issue “Information Theory and Large Language Models” in Entropy (MDPI, ISSN 1099-4300), affiliated with the section “Information Theory, Probability and Statistics”. For full details, please visit the official special issue page:

About this Special Issue

The rapid development of large language models (LLMs) calls for solid theoretical foundations to tackle core challenges including scalability, interpretability, and robustness. Information theory provides powerful analytical frameworks for AI data processing and system optimization, yet its integration into modern LLM research remains insufficiently explored.
This Special Issue aims to fill this gap, welcoming innovative theoretical research and novel algorithms that leverage information theory to advance the capability and interpretability of LLMs, promoting interdisciplinary innovation in this fast-growing field.

Important Dates

* 15 November 2026: Manuscript submission deadline * Rolling publication: Accepted papers will be published online continuously upon approval

Topics of Interest

We welcome original research and review papers covering (but not limited to):
1. Information-theoretic foundations of LLMs 2. Memory and retrieval mechanisms in LLMs 3. Reinforcement learning and LLM reasoning 4. Generalization bounds for LLM training 5. Uncertainty quantification and hallucination detection in LLMs 6. Multimodal LLM information fusion 7. Energy-efficient LLMs via information-theoretic optimization 8. LLM watermarking technologies 9. Large language model compression algorithms
On behalf of the Guest Editors: Dr. Xueyan Niu, Prof. Dr. Jun Chen, Dr. Bo Bai

SNAMS 2026: The IEEE co-sponsored 13th Conference on Social Networks Analysis, Management and Security, 17 – 20 November 2026 | Barcelona, Spain

VisionDocs @ WACV 2027

CALL FOR PAPERS: VisionDocs @ WACV 2027

4th Workshop on Computer Vision Systems for Document Analysis and Recognition

Website: https://sites.google.com/view/avml-lab-visiondocs-wacv2027/

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We are pleased to announce VisionDocs: 4th Workshop on Computer Vision Systems for Document Analysis and Recognition, held in conjunction with the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2027, at Disney Springs, Buena Vista, Orlando, Florida, USA, on January 4 or 5, 2027.

Workshop Overview

The rapid growth of foundation models and multimodal AI has transformed document understanding into a key research area with broad scientific and industrial relevance.

VisionDocs aims to bring together researchers working on computer vision, multimodal learning, and document intelligence to discuss the next generation of AI systems for document understanding. We particularly welcome contributions on vision-language foundation models, agentic document AI, generative approaches, efficient adaptation, and robust and trustworthy document intelligence.

Call for Papers

Research papers are solicited in, but not limited to, the following topic areas:

  • Document image processing
  • Physical and logical layout analysis
  • Text and symbol recognition
  • Handwriting recognition
  • Document analysis systems
  • Document classification
  • Recognition of tables and formulas
  • Data-efficient document analysis
  • Document synthesis
  • Document visual question answering
  • Extracting document semantics
  • Structured document generation
  • Historical document analysis
  • Agentic systems for document understanding
  • Multi-modal document analysis
  • Datasets and benchmarks for document analysis

Submission

We invite submissions of original and unpublished work related to the workshop themes:

  • Regular papers: up to 8 pages + references. Accepted regular papers will be published in the WACV 2027 Workshop Proceedings.
  • Short papers: up to 4 pages + references. Accepted short papers will be published on the VisionDocs website only and will not be included in the WACV proceedings.

All submissions must follow the WACV 2027 formatting guidelines and be prepared for double-blind review.

Accepted papers must be presented in person during the workshop, either as oral presentations or posters.

Important Dates

Regular Papers

  • Paper submission: October 13, 2026, 11:59 PM Pacific Time
  • Author notification: November 2, 2026, 11:59 PM Pacific Time
  • Camera-ready: November 20, 2026, 11:59 PM Pacific Time

Short Papers

  • Paper submission: November 12, 2026, 11:59 PM Pacific Time
  • Author notification: November 19, 2026, 11:59 PM Pacific Time
  • Camera-ready: November 26, 2026, 11:59 PM Pacific Time

Workshop: January 4 or 5, 2027

For additional information and submission details, please visit:
https://sites.google.com/view/avml-lab-visiondocs-wacv2027/

Contact: visiondocs.organizers@gmail.com

 

The VisionDocs Organizers

Silvia Zottin, Axel De Nardin, Silvia Cascianelli, Claudio Piciarelli, and Gian Luca Foresti

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