:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Jindal, Akhil, Ju, Harang
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2605.06322
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Act or Escalate? Evaluating Escalation Behavior in Automation with Language Models
by: DiSorbo, Matthew DosSantos, et al.
Published: (2026)

CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation
by: Hsu, I-Hung, et al.
Published: (2024)

PhoneLM:an Efficient and Capable Small Language Model Family through Principled Pre-training
by: Yi, Rongjie, et al.
Published: (2024)

LLM-Guided Ansätze Design for Quantum Circuit Born Machines in Financial Generative Modeling
by: Gujju, Yaswitha, et al.
Published: (2025)

Bringing Up a Bilingual BabyLM: Investigating Multilingual Language Acquisition Using Small-Scale Models
by: Zeng, Linda, et al.
Published: (2026)

Reinforcement Learning Finetunes Small Subnetworks in Large Language Models
by: Mukherjee, Sagnik, et al.
Published: (2025)

RAPID: An Efficient Reinforcement Learning Algorithm for Small Language Models
by: Huang, Lianghuan, et al.
Published: (2025)

Curriculum Learning for Small Code Language Models
by: Naïr, Marwa, et al.
Published: (2024)

ModuLM: Enabling Modular and Multimodal Molecular Relational Learning with Large Language Models
by: Chen, Zhuo, et al.
Published: (2025)

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models
by: Zheng, Kangjie, et al.
Published: (2025)

Molecular Graph Representation Learning Integrating Large Language Models with Domain-specific Small Models
by: Zhang, Tianyu, et al.
Published: (2024)

Structural Inference: Interpreting Small Language Models with Susceptibilities
by: Baker, Garrett, et al.
Published: (2025)

Transfer Learning for Molecular Property Predictions from Small Data Sets
by: Kirschbaum, Thorren, et al.
Published: (2024)

Gamma Mixture Modeling for Cosine Similarity in Small Language Models
by: Player, Kevin
Published: (2025)

Hybrid Intent-Aware Personalization with Machine Learning and RAG-Enabled Large Language Models for Financial Services Marketing
by: Shanivendra, Akhil Chandra
Published: (2026)

Can Small Language Models Learn, Unlearn, and Retain Noise Patterns?
by: Scaria, Nicy, et al.
Published: (2024)

Stacking Small Language Models for Generalizability
by: Liang, Laurence
Published: (2024)

All Language Models Large and Small
by: Chen, Zhixun, et al.
Published: (2024)

Learn from Weaknesses: Automated Domain Specialization for Small Computer-Use Agents
by: Kim, Suji, et al.
Published: (2026)

Computational Bottlenecks of Training Small-scale Large Language Models
by: Ashkboos, Saleh, et al.
Published: (2024)

Using Small Language Models to Reverse-Engineer Machine Learning Pipelines Structures
by: Lacroix, Nicolas, et al.
Published: (2026)

Towards a Small Language Model Lifecycle Framework
by: Miraghaei, Parsa, et al.
Published: (2025)

Small Language Models Improve Giants by Rewriting Their Outputs
by: Vernikos, Giorgos, et al.
Published: (2023)

Self-Taught Self-Correction for Small Language Models
by: Moskvoretskii, Viktor, et al.
Published: (2025)

An Analysis for Reasoning Bias of Language Models with Small Initialization
by: Yao, Junjie, et al.
Published: (2025)

Decomposition of Small Transformer Models
by: Christensen, Casper L., et al.
Published: (2025)

Small Language Models: Survey, Measurements, and Insights
by: Lu, Zhenyan, et al.
Published: (2024)

Towards Reasoning Ability of Small Language Models
by: Srivastava, Gaurav, et al.
Published: (2025)

Squat: Quant Small Language Models on the Edge
by: Shen, Xuan, et al.
Published: (2024)

What Happens When Small Is Made Smaller? Exploring the Impact of Compression on Small Data Pretrained Language Models
by: Awobade, Busayo, et al.
Published: (2024)

Magneto: Combining Small and Large Language Models for Schema Matching
by: Liu, Yurong, et al.
Published: (2024)

PACE: Two-Timescale Self-Evolution for Small Language Model Agents
by: Ling, Chen, et al.
Published: (2026)

Learnware of Language Models: Specialized Small Language Models Can Do Big
by: Tan, Zhi-Hao, et al.
Published: (2025)

Making Small Language Models Efficient Reasoners: Intervention, Supervision, Reinforcement
by: Zhang, Xuechen, et al.
Published: (2025)

Towards Holistic Disease Risk Prediction using Small Language Models
by: Björkdahl, Liv, et al.
Published: (2024)

Positive-Unlabeled Reinforcement Learning Distillation for On-Premise Small Models
by: Kou, Zhiqiang, et al.
Published: (2026)

Neighborhood density estimation using space-partitioning based hashing schemes
by: Jindal, Aashi
Published: (2025)

SensorLM: Learning the Language of Wearable Sensors
by: Zhang, Yuwei, et al.
Published: (2025)

Small Molecule Optimization with Large Language Models
by: Guevorguian, Philipp, et al.
Published: (2024)

Kakugo: Distillation of Low-Resource Languages into Small Language Models
by: Devine, Peter, et al.
Published: (2026)