Nutrition

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 33 papers with code (202 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Scaling Language Models: Methods, Analysis & Insights from Training Gopher
  8 Dec 2021 3 repositories listed
  Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world.
• Nutribullets Hybrid: Multi-document Health Summarization
  8 Apr 2021 2 repositories listed
  We present a method for generating comparative summaries that highlights similarities and contradictions in input documents.
• An Open-Source Dataset on Dietary Behaviors and DASH Eating Plan Optimization Constraints
  15 Oct 2020 2 repositories listed
  We hope that this data and its supplementary, open-accessed materials can accelerate and simplify interpretations and research on linear optimization and constrained inference models.
• FoodTracker: A Real-time Food Detection Mobile Application by Deep Convolutional Neural Networks
  13 Sep 2019 2 repositories listed
  We present a mobile application made to recognize food items of multi-object meal from a single image in real-time, and then return the nutrition facts with components and approximate amounts.
• Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images
  3 May 2019 2 repositories listed
  Food computing is playing an increasingly important role in human daily life, and has found tremendous applications in guiding human behavior towards smart food consumption and healthy lifestyle.
• VolTex: Food Volume Estimation using Text-Guided Segmentation and Neural Surface Reconstruction
  3 Jun 2025 1 repository listed
  Accurate food volume estimation is crucial for dietary monitoring, medical nutrition management, and food intake analysis.
• NutriGen: Personalized Meal Plan Generator Leveraging Large Language Models to Enhance Dietary and Nutritional Adherence
  28 Feb 2025 1 repository listed
  We demonstrate that LLMs have strong potential in generating accurate and user-friendly food recommendations, addressing key limitations in existing dietary recommendation systems by providing structured, practical, and…
• Cuckoo: An IE Free Rider Hatched by Massive Nutrition in LLM's Nest
  16 Feb 2025 1 repository listed
  Massive high-quality data, both pre-training raw texts and post-training annotations, have been carefully prepared to incubate advanced large language models (LLMs).
• DiMB-RE: Mining the Scientific Literature for Diet-Microbiome Associations
  29 Sep 2024 1 repository listed
  We fine-tuned and evaluated state-of-the-art NLP models for named entity, trigger, and relation extraction as well as factuality detection using DiMB-RE.
• Swine Diet Design using Multi-objective Regionalized Bayesian Optimization
  19 Sep 2024 1 repository listed
  The design of food diets in the context of animal nutrition is a complex problem that aims to develop cost-effective formulations while balancing minimum nutritional content.
• Accuracy and Consistency of LLMs in the Registered Dietitian Exam: The Impact of Prompt Engineering and Knowledge Retrieval
  6 Aug 2024 1 repository listed
  In this paper, we propose to employ the Registered Dietitian (RD) exam to conduct a standard and comprehensive evaluation of state-of-the-art LLMs, GPT-4o, Claude 3.
• MetaFood CVPR 2024 Challenge on Physically Informed 3D Food Reconstruction: Methods and Results
  12 Jul 2024 1 repository listed
  Participants were tasked with reconstructing 3D models for 20 selected food items of varying difficulty levels: easy, medium, and hard.
• VolETA: One- and Few-shot Food Volume Estimation
  1 Jul 2024 1 repository listed
  Our approach creates a scaled 3D mesh of food objects using one- or few-RGBD images.
• Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual Learning
  24 Feb 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Our findings elucidate that our proposed methodology establishes a new benchmark for SOTA performance in food recognition on the CNFOOD-241 dataset.
• Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns
  21 Feb 2024 1 repository listed
  The opioid crisis has been one of the most critical society concerns in the United States.
• Synthesizing Knowledge-enhanced Features for Real-world Zero-shot Food Detection
  14 Feb 2024 1 repository listed
  The complexity of food semantic attributes further makes it more difficult for current ZSD methods to distinguish various food categories.
• NHANES-GCP: Leveraging the Google Cloud Platform and BigQuery ML for reproducible machine learning with data from the National Health and Nutrition Examination Survey
  13 Jan 2024 1 repository listed
  Summary: NHANES, the National Health and Nutrition Examination Survey, is a program of studies led by the Centers for Disease Control and Prevention (CDC) designed to assess the health and nutritional status of adults…
• K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries
  29 Dec 2023 1 repository listed
  To enhance the relevance and comprehensiveness of personalized responses, we propose using a two-step approach that involves (1) selectively integrating user personas and (2) contextualizing the response with…
• Towards Clinical Prediction with Transparency: An Explainable AI Approach to Survival Modelling in Residential Aged Care
  1 Dec 2023 1 repository listed
  Objectives: Develop an interpretable survival model for elderly residential aged care residents using advanced machine learning.
• Vision-based Food Nutrition Estimation via RGB-D Fusion Network
  25 Oct 2023 1 repository listed
  In this paper, we designed one RGB-D fusion network, which integrated multimodal feature fusion (MMFF) and multi-scale fusion for visioin-based nutrition assessment.
• AI4Food-NutritionFW: A Novel Framework for the Automatic Synthesis and Analysis of Eating Behaviours
  12 Sep 2023 1 repository listed
  In addition to the framework, we also provide and describe a unique food image dataset that includes 4, 800 different weekly eating behaviours from 15 different profiles and 1, 200 subjects.
• Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes
  1 Jun 2023 1 repository listed
  In this study, we explore the use of generative AI methods to extend current food computation models, primarily involving the analysis of nutrition and ingredients, to also incorporate cooking actions (e.
• OCRBench: On the Hidden Mystery of OCR in Large Multimodal Models
  13 May 2023 1 repository listed
  In this paper, we conducted a comprehensive evaluation of Large Multimodal Models, such as GPT4V and Gemini, in various text-related visual tasks including Text Recognition, Scene Text-Centric Visual Question Answering…
• Synthetic data generation for a longitudinal cohort study -- Evaluation, method extension and reproduction of published data analysis results
  12 May 2023 1 repository listed
  In this study, we use a state-of-the-art synthetic data generation method and perform in-depth quality analyses of the generated data for a specific use case in the field of nutrition.
• A Video-based End-to-end Pipeline for Non-nutritive Sucking Action Recognition and Segmentation in Young Infants
  29 Mar 2023 1 repository listed
  Tested on our second, independent, and public NNS in-the-wild dataset, NNS recognition classification reaches 92.
• Leveraging Automatic Personalised Nutrition: Food Image Recognition Benchmark and Dataset based on Nutrition Taxonomy
  14 Nov 2022 1 repository listed
  Maintaining a healthy lifestyle has become increasingly challenging in today's sedentary society marked by poor eating habits.
• DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles
  3 Jul 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  A crucial component in the curation of KB for a scientific domain (e.
• Learning Personal Food Preferences via Food Logs Embedding
  29 Oct 2021 1 repository listed
  Current recommendation systems suffer from a lack of accuracy that is in part due to a lack of knowledge of food preferences, namely foods users like to and are able to eat frequently.
• Nutri-bullets: Summarizing Health Studies by Composing Segments
  22 Mar 2021 1 repository listed
  We introduce \emph{Nutri-bullets}, a multi-document summarization task for health and nutrition.
• Nutrition5k: Towards Automatic Nutritional Understanding of Generic Food
  4 Mar 2021 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Understanding the nutritional content of food from visual data is a challenging computer vision problem, with the potential to have a positive and widespread impact on public health.

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.