Game of LLMs: Discovering Structural Constructs in Activities using Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Hiremath, Shruthi K., Ploetz, Thomas |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Maintenance Required: Updating and Extending Bootstrapped Human Activity Recognition Systems for Smart Homes
by: Hiremath, Shruthi K., et al.
Published: (2024)
by: Hiremath, Shruthi K., et al.
Published: (2024)
Layout Agnostic Human Activity Recognition in Smart Homes through Textual Descriptions Of Sensor Triggers (TDOST)
by: Thukral, Megha, et al.
Published: (2024)
by: Thukral, Megha, et al.
Published: (2024)
tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)
by: Zeng, Junhua, et al.
Published: (2024)
by: Zeng, Junhua, et al.
Published: (2024)
Limitations in Employing Natural Language Supervision for Sensor-Based Human Activity Recognition -- And Ways to Overcome Them
by: Haresamudram, Harish, et al.
Published: (2024)
by: Haresamudram, Harish, et al.
Published: (2024)
Discovering Implicit Large Language Model Alignment Objectives
by: Chen, Edward, et al.
Published: (2026)
by: Chen, Edward, et al.
Published: (2026)
Discovering Decoupled Functional Modules in Large Language Models
by: Yu, Yanke, et al.
Published: (2026)
by: Yu, Yanke, et al.
Published: (2026)
PeruMedQA: Benchmarking Large Language Models (LLMs) on Peruvian Medical Exams -- Dataset Construction and Evaluation
by: Carrillo-Larco, Rodrigo M., et al.
Published: (2025)
by: Carrillo-Larco, Rodrigo M., et al.
Published: (2025)
Large Language Models as Agents in Two-Player Games
by: Liu, Yang, et al.
Published: (2024)
by: Liu, Yang, et al.
Published: (2024)
Additive Large Language Models for Semi-Structured Text
by: K, Karthikeyan, et al.
Published: (2025)
by: K, Karthikeyan, et al.
Published: (2025)
CEQuest: Benchmarking Large Language Models for Construction Estimation
by: Wu, Yanzhao, et al.
Published: (2025)
by: Wu, Yanzhao, et al.
Published: (2025)
The Depth Ceiling: On the Limits of Large Language Models in Discovering Latent Planning
by: Xu, Yi, et al.
Published: (2026)
by: Xu, Yi, et al.
Published: (2026)
Thou Shalt Not Prompt: Zero-Shot Human Activity Recognition in Smart Homes via Language Modeling of Sensor Data & Activities
by: Dhekane, Sourish Gunesh, et al.
Published: (2025)
by: Dhekane, Sourish Gunesh, et al.
Published: (2025)
Why is "Chicago" Predictive of Deceptive Reviews? Using LLMs to Discover Language Phenomena from Lexical Cues
by: Qu, Jiaming, et al.
Published: (2025)
by: Qu, Jiaming, et al.
Published: (2025)
Discovering Forbidden Topics in Language Models
by: Rager, Can, et al.
Published: (2025)
by: Rager, Can, et al.
Published: (2025)
Zero-Shot Decision Tree Construction via Large Language Models
by: Carrasco, Lucas, et al.
Published: (2025)
by: Carrasco, Lucas, et al.
Published: (2025)
Towards Linguistically-Aware and Language-Independent Tokenization for Large Language Models (LLMs)
by: Rahman, Abrar, et al.
Published: (2024)
by: Rahman, Abrar, et al.
Published: (2024)
Concept Unlearning in Large Language Models via Self-Constructed Knowledge Triplets
by: Yamashita, Tomoya, et al.
Published: (2025)
by: Yamashita, Tomoya, et al.
Published: (2025)
Can Language Models Discover Scaling Laws?
by: Lin, Haowei, et al.
Published: (2025)
by: Lin, Haowei, et al.
Published: (2025)
Deterministic Differentiable Structured Pruning for Large Language Models
by: Huang, Weiyu, et al.
Published: (2026)
by: Huang, Weiyu, et al.
Published: (2026)
Semantic Structure of Feature Space in Large Language Models
by: Kozlowski, Austin C., et al.
Published: (2026)
by: Kozlowski, Austin C., et al.
Published: (2026)
Discovering Hidden Gems in Model Repositories
by: Kahana, Jonathan, et al.
Published: (2026)
by: Kahana, Jonathan, et al.
Published: (2026)
Inference-Cost-Aware Dynamic Tree Construction for Efficient Inference in Large Language Models
by: Hong, Yinrong, et al.
Published: (2025)
by: Hong, Yinrong, et al.
Published: (2025)
Entity Matching using Large Language Models
by: Peeters, Ralph, et al.
Published: (2023)
by: Peeters, Ralph, et al.
Published: (2023)
Large Language Models Memorize Sensor Datasets! Implications on Human Activity Recognition Research
by: Haresamudram, Harish, et al.
Published: (2024)
by: Haresamudram, Harish, et al.
Published: (2024)
Discovering Latent Knowledge in Language Models Without Supervision
by: Burns, Collin, et al.
Published: (2022)
by: Burns, Collin, et al.
Published: (2022)
Discovering Knowledge-Critical Subnetworks in Pretrained Language Models
by: Bayazit, Deniz, et al.
Published: (2023)
by: Bayazit, Deniz, et al.
Published: (2023)
Unraveling Arithmetic in Large Language Models: The Role of Algebraic Structures
by: Chang, Fu-Chieh, et al.
Published: (2024)
by: Chang, Fu-Chieh, et al.
Published: (2024)
Leveraging Graph Structures to Detect Hallucinations in Large Language Models
by: Nonkes, Noa, et al.
Published: (2024)
by: Nonkes, Noa, et al.
Published: (2024)
DarwinLM: Evolutionary Structured Pruning of Large Language Models
by: Tang, Shengkun, et al.
Published: (2025)
by: Tang, Shengkun, et al.
Published: (2025)
Large Language Models for Biomedical Knowledge Graph Construction: Information extraction from EMR notes
by: Arsenyan, Vahan, et al.
Published: (2023)
by: Arsenyan, Vahan, et al.
Published: (2023)
Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations
by: Xie, Zhihui, et al.
Published: (2024)
by: Xie, Zhihui, et al.
Published: (2024)
Bias in LLMs as Annotators: The Effect of Party Cues on Labelling Decision by Large Language Models
by: Vera, Sebastian Vallejo, et al.
Published: (2024)
by: Vera, Sebastian Vallejo, et al.
Published: (2024)
Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models
by: Yuan, Yu, et al.
Published: (2024)
by: Yuan, Yu, et al.
Published: (2024)
Risks, Causes, and Mitigations of Widespread Deployments of Large Language Models (LLMs): A Survey
by: Sakib, Md Nazmus, et al.
Published: (2024)
by: Sakib, Md Nazmus, et al.
Published: (2024)
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
by: Ma, Shuming, et al.
Published: (2024)
by: Ma, Shuming, et al.
Published: (2024)
Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications
by: Liu, Yanchen, et al.
Published: (2023)
by: Liu, Yanchen, et al.
Published: (2023)
Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision
by: Su, Jinyan, et al.
Published: (2024)
by: Su, Jinyan, et al.
Published: (2024)
DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
by: Gao, Shangqian, et al.
Published: (2024)
by: Gao, Shangqian, et al.
Published: (2024)
On the Emergence and Test-Time Use of Structural Information in Large Language Models
by: Chen, Michelle Chao, et al.
Published: (2026)
by: Chen, Michelle Chao, et al.
Published: (2026)
Olica: Efficient Structured Pruning of Large Language Models without Retraining
by: He, Jiujun, et al.
Published: (2025)
by: He, Jiujun, et al.
Published: (2025)
Similar Items
-
Maintenance Required: Updating and Extending Bootstrapped Human Activity Recognition Systems for Smart Homes
by: Hiremath, Shruthi K., et al.
Published: (2024) -
Layout Agnostic Human Activity Recognition in Smart Homes through Textual Descriptions Of Sensor Triggers (TDOST)
by: Thukral, Megha, et al.
Published: (2024) -
tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)
by: Zeng, Junhua, et al.
Published: (2024) -
Limitations in Employing Natural Language Supervision for Sensor-Based Human Activity Recognition -- And Ways to Overcome Them
by: Haresamudram, Harish, et al.
Published: (2024) -
Discovering Implicit Large Language Model Alignment Objectives
by: Chen, Edward, et al.
Published: (2026)