update some related resource links and remove one not so insightful p…

…aper

papers/README.template

@@ -35,6 +35,44 @@ You can also share your thoughts and discuss with others in the [Discussions](ht
 
 ---
 
+Related links:
+
+- [deep-learning-dynamics-paper-list](https://github.com/zeke-xie/deep-learning-dynamics-paper-list)
+
+- [Paper List for In-context Learning](https://github.com/dqxiu/ICL_PaperList)
+
+- [Awesome Production Machine Learning](https://github.com/EthicalML/awesome-production-machine-learning)
+
+- [Awesome Math](https://github.com/rossant/awesome-math)
+
+- [Awesome TikZ](https://github.com/xiaohanyu/awesome-tikz)
+
+- [Awesome Lists for Tenure-Track Asst. Professors and PhD students](https://github.com/JunweiLiang/awesome_lists)
+
+- [Awesome LLM Systems Papers](https://github.com/AmberLJC/LLMSys-PaperList)
+
+- [Neural Tangent Kernel Papers](https://github.com/kwignb/NeuralTangentKernel-Papers)
+
+- [Feature Learning in Deep Learning Theory Reading Group](https://github.com/WeiHuang05/Awesome-Feature-Learning-in-Deep-Learning-Thoery)
+
+- [awesome-matplotlib](https://github.com/interactivetech/awesome-matplotlib)
+
+- [LLM Training Puzzles](https://github.com/srush/LLM-Training-Puzzles)
+
+- [Scientific Visualization: Python + Matplotlib](https://github.com/rougier/scientific-visualization-book)
+
+- [A PyTorch Tools, best practices & Styleguide](https://github.com/IgorSusmelj/pytorch-styleguide)
+
+- [Deep Learning Tuning Playbook](https://github.com/google-research/tuning_playbook)
+
+- [Science Plots](https://github.com/garrettj403/SciencePlots)
+
+- [Tips and Tricks for Writing Scientific Papers](https://github.com/Wookai/paper-tips-and-tricks)
+
+- [Paper Writing Tips](https://github.com/MLNLP-World/Paper-Writing-Tips)
+
+---
+
 **Contact**
 
 - [Shiguang Wu](https://furyton.github.io), furyton AT outlook.com / shiguang.wu AT mail.sdu.edu.cn

papers/phenomena-of-interest/hallucination/papers.csv

@@ -6,5 +6,4 @@ Calibrated Language Models Must Hallucinate,2023-11-24,http://arxiv.org/abs/2311
 The Curious Case of Hallucinatory Unanswerablity: Finding Truths in the Hidden States of Over-Confident Large Language Models,2023-10-18,http://arxiv.org/abs/2310.11877,Aviv Slobodkin; Omer Goldman; Avi Caciularu; Ido Dagan; Shauli Ravfogel
 Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?,2024-05-09,http://arxiv.org/abs/2405.05904,Zorik Gekhman; Gal Yona; Roee Aharoni; Matan Eyal; Amir Feder; Roi Reichart; Jonathan Herzig
 Estimating the Hallucination Rate of Generative AI,2024-06-11,http://arxiv.org/abs/2406.07457,Andrew Jesson; Nicolas Beltran-Velez; Quentin Chu; Sweta Karlekar; Jannik Kossen; Yarin Gal; John P. Cunningham; David Blei
-Shared Imagination: LLMs Hallucinate Alike,2024-07-23,http://arxiv.org/abs/2407.16604,Yilun Zhou; Caiming Xiong; Silvio Savarese; Chien-Sheng Wu
-"LLMs Will Always Hallucinate, and We Need to Live With This",2024-09-09,http://arxiv.org/abs/2409.05746,Sourav Banerjee; Ayushi Agarwal; Saloni Singla
+Shared Imagination: LLMs Hallucinate Alike,2024-07-23,http://arxiv.org/abs/2407.16604,Yilun Zhou; Caiming Xiong; Silvio Savarese; Chien-Sheng Wu