Saved in:
| Main Authors: | Friedman, Adam E., Harnad, Stevan, Shi, Rushen |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.12179 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Language Writ Large: LLMs, ChatGPT, Grounding, Meaning and Understanding
by: Harnad, Stevan
Published: (2024)
by: Harnad, Stevan
Published: (2024)
Improving In-Context Learning with Small Language Model Ensembles
by: Mojarradi, M. Mehdi, et al.
Published: (2024)
by: Mojarradi, M. Mehdi, et al.
Published: (2024)
Evolution without Large Models: Training Language Model with Task Principles
by: Zhu, Minghang, et al.
Published: (2025)
by: Zhu, Minghang, et al.
Published: (2025)
The Heuristic Core: Understanding Subnetwork Generalization in Pretrained Language Models
by: Bhaskar, Adithya, et al.
Published: (2024)
by: Bhaskar, Adithya, et al.
Published: (2024)
Continual Memorization of Factoids in Language Models
by: Chen, Howard, et al.
Published: (2024)
by: Chen, Howard, et al.
Published: (2024)
Instruction Following by Principled Boosting Attention of Large Language Models
by: Guardieiro, Vitoria, et al.
Published: (2025)
by: Guardieiro, Vitoria, et al.
Published: (2025)
Small Language Model Can Self-correct
by: Han, Haixia, et al.
Published: (2024)
by: Han, Haixia, et al.
Published: (2024)
Teaching Small Language Models to Learn Logic through Meta-Learning
by: Bertolazzi, Leonardo, et al.
Published: (2025)
by: Bertolazzi, Leonardo, et al.
Published: (2025)
TrueBrief: Faithful Summarization through Small Language Models
by: Lakara, Kumud, et al.
Published: (2025)
by: Lakara, Kumud, et al.
Published: (2025)
PhoneLM:an Efficient and Capable Small Language Model Family through Principled Pre-training
by: Yi, Rongjie, et al.
Published: (2024)
by: Yi, Rongjie, et al.
Published: (2024)
Bayesian Principles Improve Prompt Learning In Vision-Language Models
by: Kim, Mingyu, et al.
Published: (2025)
by: Kim, Mingyu, et al.
Published: (2025)
Learning Datives: The Tolerance Principle in Monolingual and Bilingual Acquisition
by: Yang, Charles, et al.
Published: (2017)
by: Yang, Charles, et al.
Published: (2017)
Chain-based Distillation for Effective Initialization of Variable-Sized Small Language Models
by: Shi, Boyu, et al.
Published: (2026)
by: Shi, Boyu, et al.
Published: (2026)
Exploring Group and Symmetry Principles in Large Language Models
by: Imani, Shima, et al.
Published: (2024)
by: Imani, Shima, et al.
Published: (2024)
Small Language Models are Equation Reasoners
by: Kim, Bumjun, et al.
Published: (2024)
by: Kim, Bumjun, et al.
Published: (2024)
A Survey of Small Language Models
by: Van Nguyen, Chien, et al.
Published: (2024)
by: Van Nguyen, Chien, et al.
Published: (2024)
Learning to Seek Help: Dynamic Collaboration Between Small and Large Language Models
by: Zeng, Hang, et al.
Published: (2026)
by: Zeng, Hang, et al.
Published: (2026)
In-context Learning vs. Instruction Tuning: The Case of Small and Multilingual Language Models
by: Ponce, David, et al.
Published: (2025)
by: Ponce, David, et al.
Published: (2025)
Learning to Reason via Self-Iterative Process Feedback for Small Language Models
by: Chen, Kaiyuan, et al.
Published: (2024)
by: Chen, Kaiyuan, et al.
Published: (2024)
Small Language Models Learn Enhanced Reasoning Skills from Medical Textbooks
by: Kim, Hyunjae, et al.
Published: (2024)
by: Kim, Hyunjae, et al.
Published: (2024)
Image2Text2Image: A Novel Framework for Label-Free Evaluation of Image-to-Text Generation with Text-to-Image Diffusion Models
by: Huang, Jia-Hong, et al.
Published: (2024)
by: Huang, Jia-Hong, et al.
Published: (2024)
History, Development, and Principles of Large Language Models-An Introductory Survey
by: Wang, Zichong, et al.
Published: (2024)
by: Wang, Zichong, et al.
Published: (2024)
Electronic Circuit Principles of Large Language Models
by: Chen, Qiguang, et al.
Published: (2025)
by: Chen, Qiguang, et al.
Published: (2025)
InfiR : Crafting Effective Small Language Models and Multimodal Small Language Models in Reasoning
by: Xie, Congkai, et al.
Published: (2025)
by: Xie, Congkai, et al.
Published: (2025)
Efficient Continual Learning for Small Language Models with a Discrete Key-Value Bottleneck
by: Diera, Andor, et al.
Published: (2024)
by: Diera, Andor, et al.
Published: (2024)
Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages
by: Gurgurov, Daniil, et al.
Published: (2025)
by: Gurgurov, Daniil, et al.
Published: (2025)
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models
by: Kim, Seungone, et al.
Published: (2024)
by: Kim, Seungone, et al.
Published: (2024)
When Do Language Models Endorse Limitations on Human Rights Principles?
by: Samway, Keenan, et al.
Published: (2026)
by: Samway, Keenan, et al.
Published: (2026)
Pixels to Principles: Probing Intuitive Physics Understanding in Multimodal Language Models
by: Ballout, Mohamad, et al.
Published: (2025)
by: Ballout, Mohamad, et al.
Published: (2025)
DecisionFlow: Advancing Large Language Model as Principled Decision Maker
by: Chen, Xiusi, et al.
Published: (2025)
by: Chen, Xiusi, et al.
Published: (2025)
Can Small Language Models Learn, Unlearn, and Retain Noise Patterns?
by: Scaria, Nicy, et al.
Published: (2024)
by: Scaria, Nicy, et al.
Published: (2024)
Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector
by: Cheng, Xiaoxue, et al.
Published: (2024)
by: Cheng, Xiaoxue, et al.
Published: (2024)
SPLA: Block Sparse Plus Linear Attention for Long Context Modeling
by: Wang, Bailin, et al.
Published: (2026)
by: Wang, Bailin, et al.
Published: (2026)
Small Language Model as Data Prospector for Large Language Model
by: Ni, Shiwen, et al.
Published: (2024)
by: Ni, Shiwen, et al.
Published: (2024)
Small but Significant: On the Promise of Small Language Models for Accessible AIED
by: Wei, Yumou, et al.
Published: (2025)
by: Wei, Yumou, et al.
Published: (2025)
Small Language Models as Effective Guides for Large Language Models in Chinese Relation Extraction
by: Tang, Xuemei, et al.
Published: (2024)
by: Tang, Xuemei, et al.
Published: (2024)
Acquiring Bidirectionality via Large and Small Language Models
by: Goto, Takumi, et al.
Published: (2024)
by: Goto, Takumi, et al.
Published: (2024)
Guiding Reasoning in Small Language Models with LLM Assistance
by: Kim, Yujin, et al.
Published: (2025)
by: Kim, Yujin, et al.
Published: (2025)
Integration of Large Language Models and Traditional Deep Learning for Social Determinants of Health Prediction
by: Landes, Paul, et al.
Published: (2025)
by: Landes, Paul, et al.
Published: (2025)
Hallucination Detection with Small Language Models
by: Cheung, Ming
Published: (2025)
by: Cheung, Ming
Published: (2025)
Similar Items
-
Language Writ Large: LLMs, ChatGPT, Grounding, Meaning and Understanding
by: Harnad, Stevan
Published: (2024) -
Improving In-Context Learning with Small Language Model Ensembles
by: Mojarradi, M. Mehdi, et al.
Published: (2024) -
Evolution without Large Models: Training Language Model with Task Principles
by: Zhu, Minghang, et al.
Published: (2025) -
The Heuristic Core: Understanding Subnetwork Generalization in Pretrained Language Models
by: Bhaskar, Adithya, et al.
Published: (2024) -
Continual Memorization of Factoids in Language Models
by: Chen, Howard, et al.
Published: (2024)