:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Vuong, An, Van, Minh-Hao, Verma, Prateek, Zhao, Chen, Wu, Xintao
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Materials Science Artificial Intelligence Computation and Language
Online Access:	https://arxiv.org/abs/2511.05577
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Property Prediction of Stacked Bilayer Materials: A Multimodal Learning Approach
by: Vuong, An, et al.
Published: (2026)

Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysis
by: Verma, Prateek, et al.
Published: (2024)

Detecting and Mitigating Hateful Content in Multimodal Memes with Vision-Language Models
by: Van, Minh-Hao, et al.
Published: (2025)

Soft Prompting for Unlearning in Large Language Models
by: Bhaila, Karuna, et al.
Published: (2024)

On Large Visual Language Models for Medical Imaging Analysis: An Empirical Study
by: Van, Minh-Hao, et al.
Published: (2024)

A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools
by: Van, Minh-Hao, et al.
Published: (2025)

Fair In-Context Learning via Latent Concept Variables
by: Bhaila, Karuna, et al.
Published: (2024)

Whisper-GPT: A Hybrid Representation Audio Large Language Model
by: Verma, Prateek
Published: (2024)

Evaluating the Performance and Robustness of LLMs in Materials Science Q&A and Property Predictions
by: Wang, Hongchen, et al.
Published: (2024)

Wavelet GPT: Wavelet Inspired Large Language Models
by: Verma, Prateek
Published: (2024)

Material Property Prediction with Element Attribute Knowledge Graphs and Multimodal Representation Learning
by: Huang, Chao, et al.
Published: (2024)

CausalVLBench: Benchmarking Visual Causal Reasoning in Large Vision-Language Models
by: Komanduri, Aneesh, et al.
Published: (2025)

Towards Signal Processing In Large Language Models
by: Verma, Prateek, et al.
Published: (2024)

Adaptive Large Language Models By Layerwise Attention Shortcuts
by: Verma, Prateek, et al.
Published: (2024)

Automated Extraction of Material Properties using LLM-based AI Agents
by: Ghosh, Subham, et al.
Published: (2025)

MatterTune: An Integrated, User-Friendly Platform for Fine-Tuning Atomistic Foundation Models to Accelerate Materials Simulation and Discovery
by: Kong, Lingyu, et al.
Published: (2025)

LayerRoute: Input-Conditioned Adaptive Layer Skipping via LoRA Fine-Tuning for Agentic Language Models
by: Sikdar, Prateek Kumar
Published: (2026)

BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models
by: Antoniuk, Evan R., et al.
Published: (2025)

Fine-Tuning Language Models with Reward Learning on Policy
by: Lang, Hao, et al.
Published: (2024)

One-Pass to Reason: Token Duplication and Block-Sparse Mask for Efficient Fine-Tuning on Multi-Turn Reasoning
by: Goru, Ritesh, et al.
Published: (2025)

Tensor Completion for Surrogate Modeling of Material Property Prediction
by: Pakala, Shaan, et al.
Published: (2025)

Generative Chemical Language Models for Energetic Materials Discovery
by: Salij, Andrew, et al.
Published: (2026)

Parameter Efficient Multimodal Instruction Tuning for Romanian Vision Language Models
by: Dima, George-Andrei, et al.
Published: (2025)

Large Language Models Implicitly Learn to See and Hear Just By Reading
by: Verma, Prateek, et al.
Published: (2025)

Hierarchical Multi-agent Large Language Model Reasoning for Autonomous Functional Materials Discovery
by: Rothfarb, Samuel, et al.
Published: (2025)

Supervised Pretraining for Material Property Prediction
by: Rahman, Chowdhury Mohammad Abid, et al.
Published: (2025)

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model
by: Zhao, Chengshuai, et al.
Published: (2026)

AtomWorld: A Benchmark for Evaluating Spatial Reasoning in Large Language Models on Crystalline Materials
by: Lv, Taoyuze, et al.
Published: (2025)

Can LLMs Predict Polymer Physics Just by Reading Synthesis and Processing Prose?
by: Liu, Yuchu, et al.
Published: (2026)

Improving Large Language Models with Concept-Aware Fine-Tuning
by: Chen, Michael K., et al.
Published: (2025)

Accurate Prediction of Ligand-Protein Interaction Affinities with Fine-Tuned Small Language Models
by: Fauber, Ben
Published: (2024)

Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
by: Chen, Zixiang, et al.
Published: (2024)

Boosting Large Language Models with Mask Fine-Tuning
by: Zhang, Mingyuan, et al.
Published: (2025)

Scaling Sparse Fine-Tuning to Large Language Models
by: Ansell, Alan, et al.
Published: (2024)

Fine-Tuning Improves Information Conveyance in Language Models
by: Cheng, Yuwei, et al.
Published: (2026)

BeamPERL: Parameter-Efficient RL with Verifiable Rewards Specializes Compact LLMs for Structured Beam Mechanics Reasoning
by: Hage, Tarjei Paule, et al.
Published: (2026)

Higher-Order Knowledge Representations for Agentic Scientific Reasoning
by: Stewart, Isabella A., et al.
Published: (2026)

Are LLMs Ready for Real-World Materials Discovery?
by: Miret, Santiago, et al.
Published: (2024)

Agentic Deep Graph Reasoning Yields Self-Organizing Knowledge Networks
by: Buehler, Markus J.
Published: (2025)

TCM-FTP: Fine-Tuning Large Language Models for Herbal Prescription Prediction
by: Zhou, Xingzhi, et al.
Published: (2024)