Hacker Papers

1. 601
   

   Power Hungry Processing: Watts Driving the Cost of AI Deployment?

   Alexandra Sasha Luccioni et al. · 2023

   Hacker News threads

   • Apr 2024Power Hungry Processing: Watts Driving the Cost of AI Deployment?
   • Dec 2023Making an image with generative AI uses as much energy as charging your phone
   • Feb 2024Paragraph Pollution: AI is (probably) greener than you typing on a laptop
   • Apr 2024When Will the GenAI Bubble Burst?

   arXiv ↗
2. 602
   

   LLMs Still Can't Plan; Can LRMs? A Preliminary Evaluation of OpenAI's o1 on PlanBench

   Karthik Valmeekam et al. · 2024

   Hacker News threads

   • Sep 2024LLMs Still Can't Plan; Can LRMs? A Preliminary Evaluation of O1 on PlanBench
   • Sep 2024Apple No Longer in Talks to Join OpenAI Investment Round
   • Oct 2024Were RNNs all we needed?
   • Jan 2025Coconut by Meta AI – Better LLM Reasoning with Chain of Continuous Thought?

   arXiv ↗
3. 603
   

   Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

   Yang Yue et al. · 2025

   Hacker News threads

   • Apr 2025Does RL Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
   • Jun 2025Does Reinforcement Learning Incentivize Reasoning Capacity in LLMs?
   • May 2025GRPO experiment - I trained a Language Model to schedule events
   • Mar 2026Further human + AI + proof assistant work on Knuth's "Claude Cycles" problem
   • Jul 2026Some thoughts about Anthropic's new cryptanalysis results

   arXiv ↗
4. 604
   

   Bad Universal Priors and Notions of Optimality

   Jan Leike, Marcus Hutter · 2015

   Hacker News threads

   • Jun 2021Bad Universal Priors and Notions of Optimality (2015)
   • Aug 2021Fooling Neural Networks [pdf]
   • May 2024Ilya Sutskever to leave OpenAI
   • Nov 2024The $5000 Compression Challenge (2001)

   arXiv ↗
5. 605
   

   Synthesizing the preferred inputs for neurons in neural networks via deep generator networks

   Anh Nguyen et al. · 2016

   Hacker News threads

   • Jun 2016Impressive synthesized images in new paper
   • Jun 2016Generative Models
   • Aug 2016Text to Image Synthesis Using Thought Vectors
   • May 2017Deep Learning’s Impact on Image Processing, Mathematics, and Humanity

   arXiv ↗
6. 606
   

   Understanding Black-box Predictions via Influence Functions

   Pang Wei Koh, Percy Liang · 2017

   Hacker News threads

   • Mar 2017Understanding Black-Box Machine Learning Predictions via Influence Functions
   • Jul 2021The Computer Scientist Training AI to Think with Analogies
   • Feb 2023Stable Attribution
   • Mar 2023Adobe Firefly: AI Art Generator

   arXiv ↗
7. 607
   

   Reformer: The Efficient Transformer

   Nikita Kitaev et al. · 2020

   Hacker News threads

   • Jan 2020Reformer: The Efficient Transformer
   • Jan 2020Standardizing OpenAI’s deep learning framework on PyTorch
   • Oct 2020Nilang.jl – A Reversible Julia DSL
   • May 2026SubQ: a sub-quadratic LLM with 12M-token context

   arXiv ↗
8. 608
   

   Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding

   Zijiao Chen et al. · 2022

   Hacker News threads

   • Nov 2022Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modelin
   • Nov 2022Reconstructing images a person sees via non-invasive brain scans
   • Feb 2023Real-Time Brain-to-Image Reconstructions
   • May 2023Brain Activity Decoder Can Reveal Stories in People’s Minds

   arXiv ↗
9. 609
   

   PAL: Program-aided Language Models

   Luyu Gao et al. · 2022

   Hacker News threads

   • Jan 2023Program Aided Language Models
   • Jan 2023GPT-3: Techniques to improve reliability
   • Mar 2023Oceania Always at War with Eastasia: Generative AI and Knowledge Pollution
   • Nov 2025Program-of-Thought Prompting Outperforms Chain-of-Thought by 15% (2022)

   arXiv ↗
10. 610
    

    Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

    Chengyi Wang et al. · 2023

    Hacker News threads

    • Jan 2023Neural Codec Language Models Are Zero-Shot Text to Speech Synthesizers
    • Jan 2023Will TTS and STT benefit from the AI boom?
    • Feb 2023I had ChatGPT write a Decemberists song
    • Sep 2024Amazon's Secret Weapon in Chip Design Is Amazon

    arXiv ↗
11. 611
    

    Mastering Diverse Domains through World Models

    Danijar Hafner et al. · 2023

    Hacker News threads

    • Jan 2023Mastering Diverse Domains Through World Models
    • Jan 2023Google’s DeepMind: Mastering Diverse Domains Through World Models
    • Jul 2023Ask HN: Who is hiring? (July 2023)
    • Apr 2025DeepMind program finds diamonds in Minecraft without being taught

    arXiv ↗
12. 612
    

    How Language Model Hallucinations Can Snowball

    Muru Zhang et al. · 2023

    Hacker News threads

    • May 2023How Language Model Hallucinations Can Snowball
    • May 2023A Logic for Expressing Transformers
    • Sep 2025An LLM is a lossy encyclopedia
    • Dec 2025Project Vend: Phase Two

    arXiv ↗
13. 613
    

    SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression

    Tim Dettmers et al. · 2023

    Hacker News threads

    • Jun 2023SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
    • Jun 2023LLM.int8(): 8-Bit Matrix Multiplication for Transformers at Scale
    • Sep 2023ROCm Is AMD's #1 Priority, Executive Says
    • Mar 2024Fine tune a 70B language model at home

    arXiv ↗
14. 614
    

    Fast Training of Convolutional Networks through FFTs

    Michael Mathieu et al. · 2013

    Hacker News threads

    • Apr 2015Why GEMM is at the heart of deep learning
    • May 2015A distributed supercomputer using Parallella boards
    • Sep 2020VkFFT – Vulkan Fast Fourier Transform Library

    arXiv ↗
15. 615
    

    Certifying and removing disparate impact

    Michael Feldman et al. · 2014

    Hacker News threads

    • Sep 2015Computer Scientists Find Bias in Algorithms
    • Mar 2016Microsoft chatbot is taught to swear on Twitter
    • Jul 2016Training Computers to Find Future Criminals

    arXiv ↗
16. 616
    

    Trust Region Policy Optimization

    John Schulman et al. · 2015

    Hacker News threads

    • Mar 2016The Artificial Intelligence Revolution: A Special Report, Pt. 1
    • Jun 2016Generative Models
    • May 2017Roboschool: open-source software for robot simulation

    arXiv ↗
17. 617
    

    Effective Approaches to Attention-based Neural Machine Translation

    Minh-Thang Luong et al. · 2015

    Hacker News threads

    • Feb 2023Planning for AGI and Beyond
    • May 2023Google receives patent for attention-based sequence transduction neural networks
    • Jan 2026The Q, K, V Matrices

    arXiv ↗
18. 618
    

    Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning

    Shakir Mohamed, Danilo Jimenez Rezende · 2015

    Hacker News threads

    • Oct 2015Obstacles on the Path to AI
    • Dec 2015The A.I. Anxiety
    • Jun 2016Deep Mind Playing Montezuma's Revenge with Intrinsic Motivation [video]

    arXiv ↗
19. 619
    

    Semi-Supervised Classification with Graph Convolutional Networks

    Thomas N. Kipf, Max Welling · 2016

    Hacker News threads

    • May 2020Symbolic mathematics finally yields to neural networks
    • Dec 2020Deep Graph Library: Easy Deep Learning on Graphs
    • Jan 2023Ask HN: ML Papers to Implement

    arXiv ↗
20. 620
    

    Image-to-Markup Generation with Coarse-to-Fine Attention

    Yuntian Deng et al. · 2016

    Hacker News threads

    • May 2017Pix2code: Generating Code from a GUI Screenshot
    • Dec 2017Accessibility Through Semantic HTML
    • Nov 2023Pix2tex: Using a ViT to convert images of equations into LaTeX code

    arXiv ↗
21. 621
    

    Speed/accuracy trade-offs for modern convolutional object detectors

    Jonathan Huang et al. · 2016

    Hacker News threads

    • Jun 2017Supercharge your Computer Vision models with the TensorFlow Object Detection API
    • Aug 2017YOLO: Real-Time Object Detection
    • Nov 2019Show HN: OpenCV based multi-object-tracker with various object detection models

    arXiv ↗
22. 622
    

    Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

    Chelsea Finn et al. · 2017

    Hacker News threads

    • Jan 2018Cloud AutoML: Making AI accessible to every business
    • Jun 2018Deep learning: a critical appraisal
    • Mar 2019Gödel Machine

    arXiv ↗
23. 623
    

    Massive Exploration of Neural Machine Translation Architectures

    Denny Britz et al. · 2017

    Hacker News threads

    • Mar 2017Google Team Refines GPU Powered Neural Machine Translation
    • Jun 2017Exploring LSTMs
    • Oct 2024Adobe's new image rotation tool is one of the most impressive AI tools seen

    arXiv ↗
24. 624
    

    Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World

    Josh Tobin et al. · 2017

    Hacker News threads

    • Apr 2017Spam detection in the physical world
    • Feb 2021A better way to build ML: Why you should be using Active Learning
    • Apr 2021Massively Parallel Rendering of Complex Closed-Form Implicit Surfaces (2020)

    arXiv ↗
25. 625
    

    Deep Learning is Robust to Massive Label Noise

    David Rolnick et al. · 2017

    Hacker News threads

    • Mar 2022Deep learning on electronic medical records is doomed to fail
    • Oct 2022Why we chose not to release Stable Diffusion 1.5 as quickly
    • Jul 2024A multimodal dataset with one trillion tokens

    arXiv ↗

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