Saved in:
| Main Authors: | Pan, Jingyu, Zhou, Guanglei, Chang, Chen-Chia, Jacobson, Isaac, Hu, Jiang, Chen, Yiran |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.09655 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CROP: Circuit Retrieval and Optimization with Parameter Guidance using LLMs
by: Pan, Jingyu, et al.
Published: (2025)
by: Pan, Jingyu, et al.
Published: (2025)
EDALearn: A Comprehensive RTL-to-Signoff EDA Benchmark for Democratized and Reproducible ML for EDA Research
by: Pan, Jingyu, et al.
Published: (2023)
by: Pan, Jingyu, et al.
Published: (2023)
PatternPaint: Practical Layout Pattern Generation Using Diffusion-Based Inpainting
by: Zhou, Guanglei, et al.
Published: (2024)
by: Zhou, Guanglei, et al.
Published: (2024)
A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models
by: Guo, Cong, et al.
Published: (2024)
by: Guo, Cong, et al.
Published: (2024)
Improving Routability Prediction via NAS Using a Smooth One-shot Augmented Predictor
by: Sridhar, Arjun, et al.
Published: (2024)
by: Sridhar, Arjun, et al.
Published: (2024)
LaMAGIC2: Advanced Circuit Formulations for Language Model-Based Analog Topology Generation
by: Chang, Chen-Chia, et al.
Published: (2025)
by: Chang, Chen-Chia, et al.
Published: (2025)
Large Language Models (LLMs) for Electronic Design Automation (EDA)
by: Xu, Kangwei, et al.
Published: (2025)
by: Xu, Kangwei, et al.
Published: (2025)
Safety Alignment Depth in Large Language Models: A Markov Chain Perspective
by: Kao, Ching-Chia, et al.
Published: (2025)
by: Kao, Ching-Chia, et al.
Published: (2025)
Towards Intrinsic Interpretability of Large Language Models:A Survey of Design Principles and Architectures
by: Gao, Yutong, et al.
Published: (2026)
by: Gao, Yutong, et al.
Published: (2026)
LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits
by: Chang, Chen-Chia, et al.
Published: (2024)
by: Chang, Chen-Chia, et al.
Published: (2024)
Empowering Time Series Analysis with Large Language Models: A Survey
by: Jiang, Yushan, et al.
Published: (2024)
by: Jiang, Yushan, et al.
Published: (2024)
EEGAgent: A Unified Framework for Automated EEG Analysis Using Large Language Models
by: Zhao, Sha, et al.
Published: (2025)
by: Zhao, Sha, et al.
Published: (2025)
DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning
by: Guo, Siyuan, et al.
Published: (2024)
by: Guo, Siyuan, et al.
Published: (2024)
ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data
by: Wang, Chengsen, et al.
Published: (2025)
by: Wang, Chengsen, et al.
Published: (2025)
A Survey on Training-free Alignment of Large Language Models
by: Pan, Birong, et al.
Published: (2025)
by: Pan, Birong, et al.
Published: (2025)
Fine-Grained Interpretation of Political Opinions in Large Language Models
by: Hu, Jingyu, et al.
Published: (2025)
by: Hu, Jingyu, et al.
Published: (2025)
Report for NSF Workshop on AI for Electronic Design Automation
by: Chen, Deming, et al.
Published: (2026)
by: Chen, Deming, et al.
Published: (2026)
Evolutionary Large Language Model for Automated Feature Transformation
by: Gong, Nanxu, et al.
Published: (2024)
by: Gong, Nanxu, et al.
Published: (2024)
Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities
by: Zhou, Hao, et al.
Published: (2024)
by: Zhou, Hao, et al.
Published: (2024)
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models
by: Zhang, Jianyi, et al.
Published: (2024)
by: Zhang, Jianyi, et al.
Published: (2024)
Continual Learning for Large Language Models: A Survey
by: Wu, Tongtong, et al.
Published: (2024)
by: Wu, Tongtong, et al.
Published: (2024)
Fine-tuning Large Language Model for Automated Algorithm Design
by: Liu, Fei, et al.
Published: (2025)
by: Liu, Fei, et al.
Published: (2025)
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
by: Wang, Luping, et al.
Published: (2024)
by: Wang, Luping, et al.
Published: (2024)
CktGNN: Circuit Graph Neural Network for Electronic Design Automation
by: Dong, Zehao, et al.
Published: (2023)
by: Dong, Zehao, et al.
Published: (2023)
A Survey of Large Language Models for Data Challenges in Graphs
by: Li, Mengran, et al.
Published: (2025)
by: Li, Mengran, et al.
Published: (2025)
PalmBench: A Comprehensive Benchmark of Compressed Large Language Models on Mobile Platforms
by: Li, Yilong, et al.
Published: (2024)
by: Li, Yilong, et al.
Published: (2024)
A Survey on Mixture of Experts in Large Language Models
by: Cai, Weilin, et al.
Published: (2024)
by: Cai, Weilin, et al.
Published: (2024)
Large Language Models on Graphs: A Comprehensive Survey
by: Jin, Bowen, et al.
Published: (2023)
by: Jin, Bowen, et al.
Published: (2023)
Large Language Models for Computer-Aided Design: A Survey
by: Zhang, Licheng, et al.
Published: (2025)
by: Zhang, Licheng, et al.
Published: (2025)
A Systematic Survey on Large Language Models for Algorithm Design
by: Liu, Fei, et al.
Published: (2024)
by: Liu, Fei, et al.
Published: (2024)
Data Mixing for Large Language Models Pretraining: A Survey and Outlook
by: Chen, Zhuo, et al.
Published: (2026)
by: Chen, Zhuo, et al.
Published: (2026)
ORCE: Order-Aware Alignment of Verbalized Confidence in Large Language Models
by: Li, Chen, et al.
Published: (2026)
by: Li, Chen, et al.
Published: (2026)
Comprehensive Verilog Design Problems: A Next-Generation Benchmark Dataset for Evaluating Large Language Models and Agents on RTL Design and Verification
by: Pinckney, Nathaniel, et al.
Published: (2025)
by: Pinckney, Nathaniel, et al.
Published: (2025)
Gradually Compacting Large Language Models for Reasoning Like a Boiling Frog
by: Zhao, Yiran, et al.
Published: (2026)
by: Zhao, Yiran, et al.
Published: (2026)
Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning
by: Liu, Gang, et al.
Published: (2024)
by: Liu, Gang, et al.
Published: (2024)
ELMES: An Automated Framework for Evaluating Large Language Models in Educational Scenarios
by: Wei, Shou'ang, et al.
Published: (2025)
by: Wei, Shou'ang, et al.
Published: (2025)
Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models
by: Hsu, Chia-Yi, et al.
Published: (2024)
by: Hsu, Chia-Yi, et al.
Published: (2024)
Deep Representation Learning for Electronic Design Automation
by: Shrestha, Pratik, et al.
Published: (2025)
by: Shrestha, Pratik, et al.
Published: (2025)
CoreInfer: Accelerating Large Language Model Inference with Semantics-Inspired Adaptive Sparse Activation
by: Wang, Qinsi, et al.
Published: (2024)
by: Wang, Qinsi, et al.
Published: (2024)
Exploring Vulnerabilities and Protections in Large Language Models: A Survey
by: Liu, Frank Weizhen, et al.
Published: (2024)
by: Liu, Frank Weizhen, et al.
Published: (2024)
Similar Items
-
CROP: Circuit Retrieval and Optimization with Parameter Guidance using LLMs
by: Pan, Jingyu, et al.
Published: (2025) -
EDALearn: A Comprehensive RTL-to-Signoff EDA Benchmark for Democratized and Reproducible ML for EDA Research
by: Pan, Jingyu, et al.
Published: (2023) -
PatternPaint: Practical Layout Pattern Generation Using Diffusion-Based Inpainting
by: Zhou, Guanglei, et al.
Published: (2024) -
A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models
by: Guo, Cong, et al.
Published: (2024) -
Improving Routability Prediction via NAS Using a Smooth One-shot Augmented Predictor
by: Sridhar, Arjun, et al.
Published: (2024)