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A curated list of must-read papers of the week covering agentic systems, long-context RL, visual reasoning, and more.
A website that presents 30 essential machine learning papers curated by Ilya Sutskever in a beginner-friendly format.
Ilya Sutskever shared a reading list of influential machine learning papers with John Carmack, recommending them as essential knowledge covering 90% of what matters today.
A Twitter thread recommending ten foundational papers and works to understand LLMs, from the original Transformer to DPO.
A visual web app that indexes over 6000 ICML papers, allowing users to explore the paper landscape by topic.
A curated collection of GNN papers, datasets, and implementation tools, hosted on GitHub.
A tweet highlighting the most-cited papers and most-starred GitHub repos related to ICML 2026, with publicly available code and workflows to map papers to Semantic Scholar citation data and GitHub repos.
Recommends reading the top most cited papers on Papers with Code, one or two per week, to deeply understand influential AI research.
Introduces the Awesome LLM Interpretability resource collection, which gathers various interpretability tools, papers, and community resources to help understand the internal workings of large language models.
A curated collection of must-use resources for building AI systems, including books, courses, and landmark papers.
All 4,361 ICLR 2026 papers, including Oral presentations and Outstanding Papers, are now explorable on Papers with Code, grouped by task from 3D generation to GUI agents.
This article recommends a website called Sophon, which aggregates AI papers, models, benchmarks, leaderboards, and reinforcement learning environments. It provides real-time rankings, comparisons, and subscription features, and is hailed as the Bloomberg terminal for AI research.
This week's 7 top papers focus on core challenges of AI Agents: prompt design, reasoning cost, and context explosion, each with engineering insights.
A curated collection of papers and tools for On Policy Distillation, organized and annotated with a getting-started section, shared via a GitHub repo.
A critical observation about recent industry AI papers lacking novelty, citing examples like SkillOpt that treat natural-language skills as trainable external parameters.
The author collected and read 41 papers related to GEO, AEO, and AI search, pushed the collection to GitHub, and shared 10 key insights, including the relationship between GEO and SEO, AI search citation mechanisms, the importance of content structuring, and practical optimization directions.
A weekly roundup of the most upvoted papers on Hugging Face Daily Papers, covering topics like evidence attribution, code agents, reinforcement learning, and multi-modal LLMs.
A categorized directory of LLM-based multi-agent papers, including a survey paper and organized list of frameworks, orchestration, problem solving, simulation, and benchmarks.
A curated list of approximately 1,200 ICLR 2026 accepted papers (22% of total) with publicly available code, data, or demos has been compiled and published. ICLR 2026 will take place in Rio de Janeiro, Brazil starting April 22nd, 2026.
A curated collection of must-use, actively maintained resources for building and shipping AI systems, covering AI engineering topics like RAG, agents, evals, guardrails, and deployment, along with recommended books, courses, and landmark papers.