Cover Image

PolyReal: A Benchmark for Real-World Polymer Science Workflows

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Wanhao, Wang, Weida, Xie, Jiaqing, Yang, Suorong, Wang, Jue, Chen, Benteng, Mei, Guangtao, Yang, Zonglin, Zhang, Shufei, Mo, Yuchun, Cheng, Lang, Zeng, Jin, Li, Houqiang, Ouyang, Wanli, Li, Yuqiang
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MOOSE-Chem3: Toward Experiment-Guided Hypothesis Ranking via Simulated Experimental Feedback
by: Liu, Wanhao, et al.
Published: (2025)

OmniMatBench: A Human-Calibrated Multimodal Reasoning Benchmark Across 19 Materials Science Subfields
by: Liu, Wanhao, et al.
Published: (2026)

Step-GRPO: Internalizing Dynamic Early Exit for Efficient Reasoning
by: Chen, Benteng, et al.
Published: (2026)

MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses
by: Yang, Zonglin, et al.
Published: (2024)

Chem-R: Learning to Reason as a Chemist
by: Wang, Weida, et al.
Published: (2025)

QCBench: Evaluating Large Language Models on Domain-Specific Quantitative Chemistry
by: Xie, Jiaqing, et al.
Published: (2025)

Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning
by: Zhang, Di, et al.
Published: (2024)

DSADF: Thinking Fast and Slow for Decision Making
by: Dou, Zhihao, et al.
Published: (2025)

A CLIP-Powered Framework for Robust and Generalizable Data Selection
by: Yang, Suorong, et al.
Published: (2024)

Iterative Pretraining Framework for Interatomic Potentials
by: Cui, Taoyong, et al.
Published: (2025)

ChemMLLM: Chemical Multimodal Large Language Model
by: Tan, Qian, et al.
Published: (2025)

Control-R: Towards controllable test-time scaling
by: Zhang, Di, et al.
Published: (2025)

PolyR-CNN: R-CNN for end-to-end polygonal building outline extraction
by: Jiao, Weiqin, et al.
Published: (2024)

MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search
by: Yang, Zonglin, et al.
Published: (2025)

Online Test-time Adaptation for Interatomic Potentials
by: Cui, Taoyong, et al.
Published: (2024)

MolAct: An Agentic RL Framework for Molecular Editing and Property Optimization
by: Yang, Zhuo, et al.
Published: (2025)

SkillsInjector: Dynamic Skill Context Construction for LLM Agents
by: Li, Yanchao, et al.
Published: (2026)

Plan Then Action:High-Level Planning Guidance Reinforcement Learning for LLM Reasoning
by: Dou, Zhihao, et al.
Published: (2025)

Geometry-enhanced Pre-training on Interatomic Potentials
by: Cui, Taoyong, et al.
Published: (2023)

ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition
by: Liu, Yujie, et al.
Published: (2025)

VARFVV: View-Adaptive Real-Time Interactive Free-View Video Streaming with Edge Computing
by: Hu, Qiang, et al.
Published: (2025)

Multimodal-Guided Dynamic Dataset Pruning for Robust and Efficient Data-Centric Learning
by: Yang, Suorong, et al.
Published: (2025)

Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B
by: Zhang, Di, et al.
Published: (2024)

Characterization of S1 Nuclease Activity on Poly‐Adenine Coated Gold Nanoparticle Surfaces
by: Yuhan Wang, et al.
Published: (2026)

Rethinking Continual Learning with Progressive Neural Collapse
by: Wang, Zheng, et al.
Published: (2025)

HVDistill: Transferring Knowledge from Images to Point Clouds via Unsupervised Hybrid-View Distillation
by: Zhang, Sha, et al.
Published: (2024)

CrystalX: High-accuracy Crystal Structure Analysis Using Deep Learning
by: Zheng, Kaipeng, et al.
Published: (2024)

Physical formula enhanced multi-task learning for pharmacokinetics prediction
by: Li, Ruifeng, et al.
Published: (2024)

Leveraging Adaptive Group Negotiation for Heterogeneous Multi-Robot Collaboration with Large Language Models
by: Song, Siqi, et al.
Published: (2025)

Evidential Deep Learning for Interatomic Potentials
by: Xu, Han, et al.
Published: (2024)

LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning
by: Zhang, Di, et al.
Published: (2024)

Towards Practical Real-Time Neural Video Compression
by: Jia, Zhaoyang, et al.
Published: (2025)

RAG or Learning? Understanding the Limits of LLM Adaptation under Continuous Knowledge Drift in the Real World
by: Liu, Hanbing, et al.
Published: (2026)

Revisiting the Broken Symmetry Phase of Solid Hydrogen: A Neural Network Variational Monte Carlo Study
by: Chai, Shengdu, et al.
Published: (2025)

Structure-Level Disentangled Diffusion for Few-Shot Chinese Font Generation
by: Li, Jie, et al.
Published: (2026)

RL-Selector: Reinforcement Learning-Guided Data Selection via Redundancy Assessment
by: Yang, Suorong, et al.
Published: (2025)

Nature-Inspired Population-Based Evolution of Large Language Models
by: Zhang, Yiqun, et al.
Published: (2025)

S2R-Bench: A Sim-to-Real Evaluation Benchmark for Autonomous Driving
by: Wang, Li, et al.
Published: (2025)

Towards a bottom-up formulation of spin kinetic theory
by: Mo, Zonglin, et al.
Published: (2025)

More Than Memory Savings: Zeroth-Order Optimization Mitigates Forgetting in Continual Learning
by: Yu, Wanhao, et al.
Published: (2025)