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AI Awards and Competition Achievements

Ricoh has positioned AI as a core technology for solving customer challenges as it pursues its medium- to long-term vision of becoming the leading global integrator of the customer's workplace. By embedding AI into its products and services, while also advancing internal business transformation and data utilization platforms, Ricoh is promoting data-driven value creation on the front lines, close to customers.

In addition to its research and development activities, Ricoh has built a data science community around its internal Data Science School and is developing data science talent across the Ricoh Group. Employees can also choose to participate in advanced data science competitions, helping them continuously strengthen their data analytics and AI expertise. The results of these efforts have also been recognized through external awards and by international academic and research communities.

Major Achievements in International Competition and Research

The Ricoh Group has participated in international competitions and research challenges in fields such as natural language processing, machine learning, and computer vision, achieving numerous first-place finishes and other top results.

The Ricoh Group has achieved notable results in internationally recognized evaluation tasks, including information extraction at TAC and NTCIR, machine translation at WAT, question answering at SQuAD, and large language model (LLM)-related tasks at TREC and SemEval.

Ricoh's research achievements have also gained recognition from the international research community, including the acceptance of papers to the main track of the International Joint Conference on Neural Networks (IJCNN).

Name Organizer Task Rank
TREC 2025
Text Retrieval Conference
  • U.S. National Institute of Standards and Technology (NIST)
  • Microsoft Research
  • University of North Carolina
LLM-Powered Known-Item Retrieval
Tip-of-the-Tongue
1st
TREC 2025
Text Retrieval Conference
  • U.S. National Institute of Standards and Technology (NIST)
  • Carnegie Mellon University
Query-Aware LLM Ranking
Million LLM
1st
SemEval 2025
Semantic Evaluation at ACL
  • Extreme Food Risk Analytics funded by the European Union
  • IBM Research AI
  • Stockholm University
LLM Finetuning
Food Hazard Detection
1st
ICDAR 2024
International Conference on Document Analysis and Recognition
  • ICDAR 2024 Committee
General Document Recognition 1st
ECCV 2024
European Conference on Computer Vision
  • European Computer Vision Association
Single Point Tracking 1st
SMM4H 2024
Social Media Mining for Health at ACL
  • Cedars-Sinai Medical Center
  • University of Pennsylvania
  • Nara Institute of Science and Technology
LLM Generalizability for Social Media NLP 1st
NTCIR 2023
NII Testbeds and Community for Information Access Research
  • National Institute of Informatics
Multilingual ADE Detection 1st
CDMC 2022
International Cybersecurity Data Mining Competition
  • Victoria University of Wellington, New Zealand
  • Nara Institute of Science and Technology
Document Table Recognition 1st
SQuAD2.0 (2021)
Leaderboard on the Stanford Question Answering Dataset
  • Stanford University
Machine Reading Comprehension 1st
TAC 2019
Text Analysis Conference
  • U.S. National Institute of Standards and Technology (NIST)
  • U.S. Food and Drug Administration (FDA)
  • U.S. National Library of Medicine (NLM)
Medical Information Extraction
Drug-Drug Interaction
1st
WAT 2019
Workshop on Asian Translation
  • National Institute of Information and Communications Technology (NICT)
  • Kyoto University
Machine Translation 1st
WAT 2018
Workshop on Asian Translation
  • National Institute of Information and Communications Technology (NICT)
  • Kyoto University
Machine Translation 1st
TAC 2017
Text Analysis Conference
  • U.S. National Institute of Standards and Technology (NIST)
  • U.S. Department of Defense
Knowledge Graph 1st
NTCIR 2017
NII Testbeds and Community for Information Access Research
  • National Institute of Informatics
Short Text Conversation 2nd
COAE 2015
Chinese Opinion Analysis Evaluation
  • Chinese Information Processing Society of China
  • China Computer Federation
Sentiment Analysis 1st

2026

2026-11-5

Ricoh paper on information-theoretic method for steering LLM behavior accepted at AACL 2026

2026-9-30

Ricoh's Kenji Komito Receives a Bronze Medal in Kaggle's Biohub - Cell Tracking During Development

2026-8-17

Ricoh's Yoshimitsu Kumai Receives a Bronze Medal in Kaggle's ROGII - Wellbore Geology Prediction

2026-8-7

Ricoh's Kazuma Matsuura Receives a Gold Medal in Kaggle's BirdCLEF+ 2026

2026-7-16

Ricoh's Kenta Sekiguchi Receives a Silver Medal in Kaggle's The 2026 NeuroGolf Championship

2026-7-1

Ricoh's Yoshimitsu Kumai Receives a Bronze Medal in Kaggle's Hull Tactical - Market Prediction Competition

2026-6-19

Ricoh paper on reliable AI development with limited data accepted for poster presentation at IJCNN 2026

2026-6-4

Ricoh's Yuichiro Uematsu, Kenta Sekiguchi and Risa Ichimura Receive Gold Medals in Kaggle's BirdCLEF+ 2026

2026-5-26

Ricoh's Daisuke Maeda Receives a Gold Medal in Kaggle's Santa 2025 - Christmas Tree Packing Challenge
Beyond His Specialty: How a Ricoh Engineer Reached Kaggle Gold

2026-4-16

Ricoh's Ryoichi Saotome Receives a Bronze Medal in Kaggle's AI Mathematical Olympiad - Progress Prize 3

2026-3-24

Ricoh's Ryoichi Saotome Receives a Bronze Medal in Kaggle's Deep Past Challenge - Translate Akkadian to English

2026-3-11

Ricoh's Kenta Sekiguchi Receives a Silver Medal in Kaggle's NeurIPS 2025 Google Code Golf Championship

2026-3-11

Ricoh's Kenji Komito Receives a Bronze Medal in Kaggle's RSNA Intracranial Aneurysm Detection

2026-3-11

Ricoh's Kenji Komito Receives a Bronze Medal in Kaggle's MAP - Charting Student Math Misunderstandings

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