Physical Intuition

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.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

15 shown of 15 papers with code (35 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.
• Learning Physical Intuition of Block Towers by Example
  3 Mar 2016 3 repositories listed
  Wooden blocks are a common toy for infants, allowing them to develop motor skills and gain intuition about the physical behavior of the world.
• Training Compute-Optimal Large Language Models
  29 Mar 2022 2 repositories listed Syntology ran 8 of 11 samples · 3 unverified · 4 pointer-only (licence)
  We investigate the optimal model size and number of tokens for training a transformer language model under a given compute budget.
• Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection
  9 May 2025 1 repository listed
  Next, we present the Corrective Force Prediction Network (CFP-Net), which uses complementary representations for point-level analysis to simulate the different contributions from internal and external corrective forces.
• Physics-Inspired Distributed Radio Map Estimation
  1 Feb 2025 1 repository listed
  While existing deep learning based methods conduct RME given spectrum measurements gathered from dispersed sensors in the region of interest, they rely on centralized data at a fusion center, which however raises…
• InvDesFlow: An AI-driven materials inverse design workflow to explore possible high-temperature superconductors
  12 Sep 2024 1 repository listed
  Here, we develop InvDesFlow, an AI search engine that integrates deep model pre-training and fine-tuning techniques, diffusion models, and physics-based approaches (e.
• MechAgents: Large language model multi-agent collaborations can solve mechanics problems, generate new data, and integrate knowledge
  14 Nov 2023 1 repository listed
  Solving mechanics problems using numerical methods requires comprehensive intelligent capability of retrieving relevant knowledge and theory, constructing and executing codes, analyzing the results, a task that has thus…
• Physics-tailored machine learning reveals unexpected physics in dusty plasmas
  8 Oct 2023 1 repository listed
  Here we demonstrate and experimentally validate an ML approach that incorporates physical intuition to infer force laws in a laboratory dusty plasma.
• Constructing Custom Thermodynamics Using Deep Learning
  8 Aug 2023 1 repository listed
  Specifically, we learn three interpretable thermodynamic coordinates and build a dynamical landscape of polymer stretching, including the identification of stable and transition states and the control of the stretching…
• Generalizing Adam to Manifolds for Efficiently Training Transformers
  26 May 2023 1 repository listed
  One of the primary reasons behind the success of neural networks has been the emergence of an array of new, highly-successful optimizers, perhaps most importantly the Adam optimizer.
• Automated Optical Multi-layer Design via Deep Reinforcement Learning
  21 Jun 2020 1 repository listed
  In this work, we frame the multi-layer optical design task as a sequence generation problem.
• Leveraging 2D Data to Learn Textured 3D Mesh Generation
  8 Apr 2020 1 repository listed
  Thus, it learns to generate meshes that when rendered, produce images similar to those in its training set.
• Interpretable Embeddings From Molecular Simulations Using Gaussian Mixture Variational Autoencoders
  22 Dec 2019 1 repository listed
  While variational autoencoders ensure continuity of the embedding by assuming a unimodal Gaussian prior, this is at odds with the multi-basin free-energy landscapes that typically arise from the identification of…
• Meta-Learning for Stochastic Gradient MCMC
  12 Jun 2018 1 repository listed
  Stochastic gradient Markov chain Monte Carlo (SG-MCMC) has become increasingly popular for simulating posterior samples in large-scale Bayesian modeling.
• ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking
  21 Apr 2018 1 repository listed
  Physical intuition is pivotal for intelligent agents to perform complex tasks.

Syntology lines on 1 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.