📄 Paper Explainer

All Explained Papers

576 papers explained. Page 4 of 29. ← Back to home

• arXiv:2312.16132 · cs.CL · submitted 2023-12-26 · explained 2026-05-20
  RoleEval: A Bilingual Role Evaluation Benchmark for Large Language Models
  Tianhao Shen, Sun Li, Quan Tu, et al.
• arXiv:2311.07911 · cs.CL+2 · submitted 2023-11-14 · explained 2026-05-20
  Instruction-Following Evaluation for Large Language Models
  Jeffrey Zhou, Tianjian Lu, Swaroop Mishra, et al.
• arXiv:2310.06474 · cs.CL · submitted 2023-10-10 · explained 2026-05-20
  Multilingual Jailbreak Challenges in Large Language Models
  Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, et al.
• arXiv:2309.05922 · cs.AI+2 · submitted 2023-09-12 · explained 2026-05-20
  A Survey of Hallucination in ``Large'' Foundation Models
  Vipula Rawte, Amit Sheth, Amitava Das
• arXiv:2308.13816 · cs.LG+2 · submitted 2023-08-26 · explained 2026-05-20
  Homological Convolutional Neural Networks
  Antonio Briola, Yuanrong Wang, Silvia Bartolucci, et al.
• arXiv:2308.12966 · cs.CV+1 · submitted 2023-08-24 · explained 2026-05-20
  Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
  Jinze Bai, Shuai Bai, Shusheng Yang, et al.
• arXiv:2307.09288 · cs.CL+1 · submitted 2023-07-18 · explained 2026-05-20
  Open Foundation and Fine-Tuned Chat Models
  Hugo Touvron, Louis Martin, Kevin Stone, et al.
• arXiv:2211.15089 · cs.CL+1 · submitted 2022-11-28 · explained 2026-05-20
  Continuous diffusion for categorical data
  Sander Dieleman, Laurent Sartran, Arman Roshannai, et al.
• arXiv:2110.14168 · cs.LG+1 · submitted 2021-10-27 · explained 2026-05-20
  Training Verifiers to Solve Math Word Problems
  Karl Cobbe, Vineet Kosaraju, Mohammad Bavarian, et al.
• arXiv:2107.07511 · cs.LG+4 · submitted 2021-07-15 · explained 2026-05-20
  A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification
  Anastasios N. Angelopoulos, Stephen Bates
• arXiv:2106.12059 · cs.LG+1 · submitted 2021-06-22 · explained 2026-05-20
  Stochastic Batch Acquisition: Simple Baseline for Deep Active Learning
  Andreas Kirsch, Sebastian Farquhar, Parmida Atighehchian, et al.
• arXiv:2012.05208 · cs.NE+2 · submitted 2020-12-09 · explained 2026-05-20
  On the Binding Problem in Artificial Neural Networks
  Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber
• arXiv:2009.03300 · cs.CY+3 · submitted 2020-09-07 · explained 2026-05-20
  Measuring Massive Multitask Understanding
  Dan Hendrycks, Collin Burns, Steven Basart, et al.
• arXiv:2003.00534 · cs.LG+2 · submitted 2020-03-01 · explained 2026-05-20
  Provably Efficient Safe Exploration Primal-Dual Policy Optimization
  Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, et al.
• arXiv:1904.12843 · cs.LG+3 · submitted 2019-04-29 · explained 2026-05-20
  Adversarial Training for Free!
  Ali Shafahi, Mahyar Najibi, Amin Ghiasi, et al.
• arXiv:1901.11390 · cs.CV+2 · submitted 2019-01-22 · explained 2026-05-20
  MONet: Unsupervised Scene Decomposition and Representation
  Christopher P. Burgess, Loic Matthey, Nicholas Watters, et al.
• arXiv:1804.11271 · stat.ML+1 · submitted 2018-04-30 · explained 2026-05-20
  Gaussian Process Behaviour in Wide Deep Neural Networks
  Alexander G. de G. Matthews, Mark Rowland, Jiri Hron, et al.
• arXiv:1804.08598 · cs.CV+2 · submitted 2018-04-23 · explained 2026-05-20
  Black-box Adversarial Attacks with Limited Queries and Information
  Andrew Ilyas, Logan Engstrom, Anish Athalye, et al.
• arXiv:1803.10122 · cs.LG+1 · submitted 2018-03-27 · explained 2026-05-20
  World Models
  David Ha, Jürgen Schmidhuber
• arXiv:1707.03904 · cs.CL+2 · submitted 2017-07-12 · explained 2026-05-20
  Quasar: Datasets for Question Answering by and Reading
  Bhuwan Dhingra, Kathryn Mazaitis, William W. Cohen