:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Nessari, Saman, Bozorgi-Amiri, Ali
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2510.19014
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Benchmarking large language models for biomedical natural language processing applications and recommendations
by: Chen, Qingyu, et al.
Published: (2023)

Efficiency optimization of large-scale language models based on deep learning in natural language processing tasks
by: Mei, Taiyuan, et al.
Published: (2024)

Adversarial bandit optimization for approximately linear functions
by: Cheng, Zhuoyu, et al.
Published: (2025)

Pre-trained knowledge elevates large language models beyond traditional chemical reaction optimizers
by: MacKnight, Robert, et al.
Published: (2025)

Spectral bandits
by: Kocák, Tomáš, et al.
Published: (2026)

Post-training makes large language models less human-like
by: Binz, Marcel, et al.
Published: (2026)

Linear bandits with polylogarithmic minimax regret
by: Lumbreras, Josep, et al.
Published: (2024)

Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems
by: Forouzandeh, Saman, et al.
Published: (2025)

Context information can be more important than reasoning for time series forecasting with a large language model
by: Yang, Janghoon
Published: (2025)

Representation in large language models
by: Yetman, Cameron
Published: (2025)

Block removal for large language models through constrained binary optimization
by: Jansen, David, et al.
Published: (2026)

Quantifying construct validity in large language model evaluations
by: Kearns, Ryan Othniel
Published: (2026)

Performance of AI agents based on reasoning language models on ALD process optimization tasks
by: Yanguas-Gil, Angel
Published: (2026)

Alignment faking in large language models
by: Greenblatt, Ryan, et al.
Published: (2024)

Reinforcement learning with combinatorial actions for coupled restless bandits
by: Xu, Lily, et al.
Published: (2025)

Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers
by: Lin, Xiaoqiang, et al.
Published: (2023)

Large language models as uncertainty-calibrated optimizers for experimental discovery
by: Ranković, Bojana, et al.
Published: (2025)

Long-form factuality in large language models
by: Wei, Jerry, et al.
Published: (2024)

Can large language models explore in-context?
by: Krishnamurthy, Akshay, et al.
Published: (2024)

AI-AI Bias: large language models favor communications generated by large language models
by: Laurito, Walter, et al.
Published: (2024)

Benchmarking pre-trained text embedding models in aligning built asset information
by: Shahinmoghadam, Mehrzad, et al.
Published: (2024)

Logic-informed reinforcement learning for cross-domain optimization of large-scale cyber-physical systems
by: Wan, Guangxi, et al.
Published: (2025)

A federated large language model for long-term time series forecasting
by: Abdel-Sater, Raed, et al.
Published: (2024)

Pretraining large language models with MXFP4 on Native FP4 Hardware
by: Cim, Musa, et al.
Published: (2026)

Zero-shot data citation function classification using transformer-based large language models (LLMs)
by: Byers, Neil, et al.
Published: (2025)

From Simulation to Enaction: Post-trained language models recognize and react to their own generations
by: G., Asvin, et al.
Published: (2026)

Beyond designer's knowledge: Generating materials design hypotheses via large language models
by: Liu, Quanliang, et al.
Published: (2024)

Are large language models superhuman chemists?
by: Mirza, Adrian, et al.
Published: (2024)

Relational In-Context Learning via Synthetic Pre-training with Structural Prior
by: Wang, Yanbo, et al.
Published: (2026)

Comprehensive benchmarking of large language models for RNA secondary structure prediction
by: Zablocki, L. I., et al.
Published: (2024)

Text-guided multi-property molecular optimization with a diffusion language model
by: Xiong, Yida, et al.
Published: (2024)

Data filtering methods for training language models
by: Shevchenko, Egor, et al.
Published: (2026)

Safety challenges of AI in medicine in the era of large language models
by: Wang, Xiaoye, et al.
Published: (2024)

Inducing anxiety in large language models can induce bias
by: Coda-Forno, Julian, et al.
Published: (2023)

Fine-grained large-scale content recommendations for MSX sellers
by: Singh, Manpreet, et al.
Published: (2024)

Using large language models for embodied planning introduces systematic safety risks
by: Zhang, Tao, et al.
Published: (2026)

Functional multi-armed bandit and the best function identification problems
by: Dorn, Yuriy, et al.
Published: (2025)

Uncovering mesa-optimization algorithms in Transformers
by: von Oswald, Johannes, et al.
Published: (2023)

Improving training time and GPU utilization in geo-distributed language model training
by: Palak, et al.
Published: (2024)

Disentangled Structural and Featural Representation for Task-Agnostic Graph Valuation
by: Falahati, Ali, et al.
Published: (2024)