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20232026
most citedChipNeMo: Domain-Adapted LLMs for Chip Design

28 citations · 37 across the 12 of their papers we have counts for

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5 papers · 1 filter

cs.LG2025★ 1 cited

Self-Questioning Language Models

Lili Chen, Mihir Prabhudesai, Katerina Fragkiadaki +2

Can large language models improve without external data -- by generating their own questions and answers? We hypothesize that a pre-trained language model can improve its reasoning…

cs.LG2025

Maximizing Confidence Alone Improves Reasoning

Mihir Prabhudesai, Lili Chen, Alex Ippoliti +3

Reinforcement learning (RL) has enabled machine learning models to achieve significant advances in many fields. Most recently, RL has empowered frontier language models to solve ch…

cs.LG2025

Employee Turnover Prediction: A Cross-component Attention Transformer with Consideration of Competitor Influence and Contagious Effect

Hao Liu, Yong Ge

Employee turnover refers to an individual's termination of employment from the current organization. It is one of the most persistent challenges for firms, especially those ones in…

cs.LG2024★ 5 cited

Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry

Yoel Zimmermann, Adib Bazgir, Zartashia Afzal +141

Here, we present the outcomes from the second Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry, which engaged participants across global hyb…

cs.LG2023★ 1 cited

Quantifying the Variability Collapse of Neural Networks

Jing Xu, Haoxiong Liu

Recent studies empirically demonstrate the positive relationship between the transferability of neural networks and the within-class variation of the last layer features. The recen…