Hacker Papers

1. 376
   

   Decentralized Training of Foundation Models in Heterogeneous Environments

   Binhang Yuan et al. · 2022

   Hacker News threads

   • Jun 2022Decentralized Training of Foundation Models in Heterogeneous Environments
   • Nov 2022OpenAI ChatGPT: Optimizing Language Models for Dialogue
   • Feb 2023Running large language models like ChatGPT on a single GPU
   • Aug 2024DisTrO – a family of low latency distributed optimizers

   arXiv ↗
2. 377
   

   The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions

   Eric Wallace et al. · 2024

   Hacker News threads

   • Apr 2024OpenAI: Training LLMs to Prioritize Privileged Instructions
   • Apr 2024The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions
   • Apr 2024The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions
   • Aug 2024Crafting formulas: Lambdas all the way down
   • May 2025GitHub MCP exploited: Accessing private repositories via MCP
   • Jun 2026A Theory of Why Prompt Injection Works

   arXiv ↗
3. 378
   

   PageRank: Standing on the shoulders of giants

   Massimo Franceschet · 2010

   Hacker News threads

   • Oct 2020PageRank: Standing on the Shoulders of Giants (2010)
   • Feb 2010PageRank: Stand on the shoulders of giants
   • May 2014The Italian Man Who Inspired Google Web Search
   • Jun 2022Google's PageRank patent has expired (2019)
   • Jun 2023My total comp for creating GitHub Copilot

   arXiv ↗
4. 379
   

   Learning to Transduce with Unbounded Memory

   Edward Grefenstette et al. · 2015

   Hacker News threads

   • Jun 2015Learning to Transduce with Unbounded Memory
   • Jun 2015Learning to Transduce with Unbounded Memory (Google DeepMind) [pdf]
   • Dec 2015Teaching Machines to Read and Comprehend [pdf]
   • Jan 2016Differentiable Programming
   • Aug 2018Markov Chains Explained Visually (2014)

   arXiv ↗
5. 380
   

   REALM: Retrieval-Augmented Language Model Pre-Training

   Kelvin Guu et al. · 2020

   Hacker News threads

   • Feb 2020Realm: Retrieval-Augmented Language Model Pre-Training
   • Aug 2020Recent Advances in Natural Language Processing
   • Dec 2022How Does GPT Obtain Its Ability? Tracing Emergent Abilities of Language Models
   • Feb 2023Sundar Pichai: An important next step on our AI journey

   arXiv ↗
6. 381
   

   TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second

   Noah Hollmann et al. · 2022

   Hacker News threads

   • Oct 2022A Transformer That Solves Small Tabular Classification Problems in a Second
   • Aug 2022Why do tree-based models still outperform deep learning on tabular data?
   • Aug 2023Interpretable Graph Neural Networks for Tabular Data
   • Jan 2025Show HN: TabPFN v2 – A SOTA foundation model for small tabular data

   arXiv ↗
7. 382
   

   The Poison of Alignment

   Aibek Bekbayev et al. · 2023

   Hacker News threads

   • Aug 2023The Poison of (LLMs) Alignment
   • Aug 2023The Poison of Alignment
   • Aug 2023The Poison of Alignment
   • Sep 2023Study shows over time, ChatGPT lost accuracy
   • Jun 2024Cost of self hosting Llama-3 8B-Instruct
   • Jan 2025DeepSeek's Hidden Bias: How We Cut It by 76% Without Performance Loss

   arXiv ↗
8. 383
   

   SSD: Single Shot MultiBox Detector

   Wei Liu et al. · 2015

   Hacker News threads

   • Nov 2016State of the Art Dnn. Single Shot MultiBox Detector
   • Nov 2017Using CNNs for Handbag Brand and Color Detection
   • Oct 2019Video Architecture Search
   • Feb 2020Creator of YOLO and SSD algorithm stopped CV research due to ethical concerns

   arXiv ↗
9. 384
   

   In-Context Learning Creates Task Vectors

   Roee Hendel et al. · 2023

   Hacker News threads

   • Oct 2023In-Context Learning Creates Task Vectors
   • Oct 2023LLMs playing chess are sensitive to how the position came to be
   • Nov 2024Task Vectors [in Vision and Language Models (VLM's)] Are Cross-Modal
   • Dec 2025Ask HN: How can I get better at using AI for programming?

   arXiv ↗
10. 385
    

    A Monte Carlo AIXI Approximation

    Joel Veness et al. · 2009

    Hacker News threads

    • Mar 2010The Single Sign On
    • Nov 2018The impossibility of intelligence explosion
    • Jan 2024Learning Universal Predictors

    arXiv ↗
11. 386
    

    HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent

    Feng Niu et al. · 2011

    Hacker News threads

    • Aug 2016Decoupled Neural Interfaces Using Synthetic Gradients
    • Mar 2018Concurrency I can finally understand and write correctly
    • Aug 2021Tesla Project Dojo Overview

    arXiv ↗
12. 387
    

    Auto-Encoding Variational Bayes

    Diederik P Kingma, Max Welling · 2013

    Hacker News threads

    • Sep 2015A Brief Introduction to Graphical Models and Bayesian Networks (1998)
    • Oct 2017Variational Inference and Deep Learning: A New Synthesis [pdf]
    • Oct 2018Bayes’ Theorem in the 21st Century (2013) [pdf]

    arXiv ↗
13. 388
    

    Qualitatively characterizing neural network optimization problems

    Ian J. Goodfellow et al. · 2014

    Hacker News threads

    • Aug 2015Machine Learning: Curse of Dimensionality
    • Aug 2016What’s Next for Artificial Intelligence
    • May 2024Gradient descent visualization

    arXiv ↗
14. 389
    

    ACDC: A Structured Efficient Linear Layer

    Marcin Moczulski et al. · 2015

    Hacker News threads

    • Aug 2016Optical solutions to NP-Complete problems
    • Feb 2018Lessons from Optics, the Other Deep Learning
    • Jan 2019Dirty lenses (2016)

    arXiv ↗
15. 390
    

    Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussions

    Chenhao Tan et al. · 2016

    Hacker News threads

    • Apr 2017How to change someone's mind, according to science
    • Jul 2019The human body is already close to thermal limits in many regions
    • Apr 2025Unauthorized experiment on r/changemyview involving AI-generated comments

    arXiv ↗
16. 391
    

    Automatic Differentiation Variational Inference

    Alp Kucukelbir et al. · 2016

    Hacker News threads

    • Sep 2016Design and Implementation of Probabilistic Programming Languages
    • Mar 2017An Introduction to Probabilistic Graphical Models (2003) [pdf]
    • Oct 2018Bayes’ Theorem in the 21st Century (2013) [pdf]

    arXiv ↗
17. 392
    

    Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs

    Yu. A. Malkov, D. A. Yashunin · 2016

    Hacker News threads

    • Jul 2022Ask HN: What are some cool but obscure data structures you know about?
    • May 2023Abusing Vector Search for Texts, Maps, and Chess ♟
    • Sep 2024Understanding Pgvector's HNSW Index Storage in Postgres

    arXiv ↗
18. 393
    

    Density estimation using Real NVP

    Laurent Dinh et al. · 2016

    Hacker News threads

    • Jun 2016Blade Runner re-encoded using neural networks
    • Jan 2019Deep Learning State of the Art (2019) [video]
    • Apr 2020Making an invertible function out of non-invertible parts

    arXiv ↗
19. 394
    

    Deep Learning with Differential Privacy

    Martín Abadi et al. · 2016

    Hacker News threads

    • Oct 2016Paul Erdős: a life that added up to something (1996)
    • Mar 2018The Algorithmic Foundations of Differential Privacy (2014) [pdf]
    • Mar 2022Launch HN: Sarus (YC W22) – Work on sensitive data with differential privacy

    arXiv ↗
20. 395
    

    Recurrent Relational Networks

    Rasmus Berg Palm et al. · 2017

    Hacker News threads

    • Dec 2018The Machine Learning Race Is Really a Data Race
    • Feb 2019Neural Networks Are Essentially Polynomial Regression (2018)
    • Jul 2023Code Interpreter will be available to all ChatGPT Plus users over the next week

    arXiv ↗
21. 396
    

    A Multi-Horizon Quantile Recurrent Forecaster

    Ruofeng Wen et al. · 2017

    Hacker News threads

    • Nov 2019Ask HN: Why do so many startups claim machine learning is their long game?
    • Jul 2021Is Facebook's “Prophet” the time-series Messiah or just a naughty boy?
    • Dec 2022Statistical vs. Deep Learning forecasting methods

    arXiv ↗
22. 397
    

    Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs

    Timur Garipov et al. · 2018

    Hacker News threads

    • Feb 2023Knowledge Is a Region in Weight Space for Fine-Tuned Language Models
    • Jun 2024Grokfast: Accelerated Grokking by Amplifying Slow Gradients
    • Jun 2026Rio de Janeiro's "homegrown" LLM appears to be a merge of an existing model

    arXiv ↗
23. 398
    

    Investigating Human Priors for Playing Video Games

    Rachit Dubey et al. · 2018

    Hacker News threads

    • Oct 2019Machines Beat Humans on a Reading Test
    • May 2020Pac-Man recreated with a GAN trained on 50k game episodes
    • Oct 2021Megatron-Turing NLG 530B, the World’s Largest Generative Language Model

    arXiv ↗
24. 399
    

    ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

    Robert Geirhos et al. · 2018

    Hacker News threads

    • Sep 2019People Recognize Objects by Visualizing Their “Skeletons”
    • Feb 2021What Inception Net Doesn't See
    • May 2024AI vs. a giraffe with no spots (2023)

    arXiv ↗
25. 400
    

    Deep Learning Recommendation Model for Personalization and Recommendation Systems

    Maxim Naumov et al. · 2019

    Hacker News threads

    • Mar 2020Smart Algorithms beat Hardware Acceleration for Large-Scale Deep Learning
    • Mar 2024Building Meta's GenAI infrastructure
    • Mar 2025Strobelight: A profiling service built on open source technology

    arXiv ↗

Data from the Hacker News archive (ODC-By), arXiv and OpenAlex. Not affiliated with Hacker News or Y Combinator.