Summary of Unfamiliar Finetuning Examples Control How Language Models Hallucinate, by Katie Kang et al.
Unfamiliar Finetuning Examples Control How Language Models Hallucinateby Katie Kang, Eric Wallace, Claire Tomlin, Aviral…
Summary of Evidence, Definitions and Algorithms Regarding the Existence Of Cohesive-convergence Groups in Neural Network Optimization, by Thien An L. Nguyen
Evidence, Definitions and Algorithms regarding the Existence of Cohesive-Convergence Groups in Neural Network Optimizationby Thien…
Summary of What Is Different Between These Datasets?, by Varun Babbar et al.
What is different between these datasets?by Varun Babbar, Zhicheng Guo, Cynthia RudinFirst submitted to arxiv…
Summary of Quantifying Manifolds: Do the Manifolds Learned by Generative Adversarial Networks Converge to the Real Data Manifold, By Anupam Chaudhuri et al.
Quantifying Manifolds: Do the manifolds learned by Generative Adversarial Networks converge to the real data…
Summary of Are Human Conversations Special? a Large Language Model Perspective, by Toshish Jawale and Chaitanya Animesh and Sekhar Vallath and Kartik Talamadupula and Larry Heck
Are Human Conversations Special? A Large Language Model Perspectiveby Toshish Jawale, Chaitanya Animesh, Sekhar Vallath,…
Summary of Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision, by Zeyang Zhang et al.
Unsupervised Graph Neural Architecture Search with Disentangled Self-supervisionby Zeyang Zhang, Xin Wang, Ziwei Zhang, Guangyao…
Summary of Reset & Distill: a Recipe For Overcoming Negative Transfer in Continual Reinforcement Learning, by Hongjoon Ahn et al.
Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual Reinforcement Learningby Hongjoon Ahn,…
Summary of Improving Diffusion-based Generative Models Via Approximated Optimal Transport, by Daegyu Kim et al.
Improving Diffusion-Based Generative Models via Approximated Optimal Transportby Daegyu Kim, Jooyoung Choi, Chaehun Shin, Uiwon…
Summary of Benchmarking Large Language Models For Molecule Prediction Tasks, by Zhiqiang Zhong and Kuangyu Zhou and Davide Mottin
Benchmarking Large Language Models for Molecule Prediction Tasksby Zhiqiang Zhong, Kuangyu Zhou, Davide MottinFirst submitted…
Summary of Simulating Battery-powered Tinyml Systems Optimised Using Reinforcement Learning in Image-based Anomaly Detection, by Jared M. Ping and Ken J. Nixon
Simulating Battery-Powered TinyML Systems Optimised using Reinforcement Learning in Image-Based Anomaly Detectionby Jared M. Ping,…