papers

Tag

Cards List
#papers

@TheTuringPost: Must-read papers of the week Harness Handbook: Making Evolving Agent Harnesses Readable, Navigable, and Editable Search…

X AI KOLs Timeline · 2d ago Cached

A curated list of must-read papers of the week covering agentic systems, long-context RL, visual reasoning, and more.

0 favorites 0 likes
#papers

30papers.com – Ilya's 30 essential ML papers, in a beginner friendly format

Hacker News Top · 2026-07-07

A website that presents 30 essential machine learning papers curated by Ilya Sutskever in a beginner-friendly format.

0 favorites 0 likes
#papers

@TheGlobalMinima: Ilya Sutskever’s reading list that he gave to John Carmack. “If you learn all of these, you’ll know 90% of what matters…

X AI KOLs Timeline · 2026-07-04 Cached

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.

0 favorites 0 likes
#papers

@TensorTonic: If you want to actually understand LLMs (not just use them), read these in order: 1. Attention Is All You Need (transfo…

X AI KOLs Timeline · 2026-07-02 Cached

A Twitter thread recommending ten foundational papers and works to understand LLMs, from the original Transformer to DPO.

0 favorites 0 likes
#papers

@askalphaxiv: Looking for a fun weekend read? Introducing the Illustrated ICML We indexed all 6000+ ICML papers and built a visual wa…

X AI KOLs Timeline · 2026-06-26 Cached

A visual web app that indexes over 6000 ICML papers, allowing users to explore the paper landscape by topic.

0 favorites 0 likes
#papers

@tom_doerr: Curated GNN papers, datasets, and implementation tools https://github.com/dair-ai/GNNs-Recipe…

X AI KOLs Timeline · 2026-06-26 Cached

A curated collection of GNN papers, datasets, and implementation tools, hosted on GitHub.

0 favorites 0 likes
#papers

@prakashkagitha: As #ICML2026 is excitingly near, here are some of the most-cited papers and most-starred git repos: Code and workflows …

X AI KOLs Timeline · 2026-06-25 Cached

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.

0 favorites 0 likes
#papers

@TheGlobalMinima: Do yourself a favour > go to http://paperswithcode.co > find “most cited” list of papers > read the top 10 papers > one…

X AI KOLs Timeline · 2026-06-25 Cached

Recommends reading the top most cited papers on Papers with Code, one or two per week, to deeply understand influential AI research.

0 favorites 0 likes
#papers

@GitHub_Daily: How do large language models work internally, why do they hallucinate, and why do they sometimes give irrelevant answers? For a deeper understanding, check out the Awesome LLM Interpretability resource collection, which provides a systematic path to unpack the AI black box. It covers attention visualization, neuron analysis, and more.

X AI KOLs Timeline · 2026-06-18 Cached

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.

0 favorites 0 likes
#papers

@tom_doerr: Curated list of AI engineering books, courses, and papers https://github.com/owainlewis/awesome-artificial-intelligence…

X AI KOLs Timeline · 2026-06-16 Cached

A curated collection of must-use resources for building AI systems, including books, courses, and landmark papers.

0 favorites 0 likes
#papers

@NielsRogge: All 4,361 @iclr_conf 2026 papers, including Oral presentations and Outstanding Papers, can now be explored on PwC! Grou…

X AI KOLs Following · 2026-06-05 Cached

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.

0 favorites 0 likes
#papers

@vikingmute: Who created this amazing website? https://sophon.at It collects and displays all AI-related information and content: papers, newest models, benchmarks, leaderboards. Papers can be viewed online directly, very comprehensive. Also has a feed to subscribe for the latest news. And this…

X AI KOLs Timeline · 2026-06-05 Cached

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.

0 favorites 0 likes
#papers

@FinanceYF5: AI Paper Weekly 1/ 7 Top Papers Reshaping the AI Agent Paradigm. This week's 7 papers tackle the three most expensive problems for AI Agents: prompt guesswork, reasoning burn rate, and infinite context explosion. Each comes with actionable engineering insights, broken down one by one.

X AI KOLs Following · 2026-06-01 Cached

This week's 7 top papers focus on core challenges of AI Agents: prompt design, reasoning cost, and context explosion, each with engineering insights.

0 favorites 0 likes
#papers

@neural_avb: If yall are interested in On Policy Distillation, check this specific repo. Somebody put together a curated collection …

X AI KOLs Timeline · 2026-05-29 Cached

A curated collection of papers and tools for On Policy Distillation, organized and annotated with a getting-started section, shared via a GitHub repo.

0 favorites 0 likes
#papers

@dosco: i'm seeing a lot of industry papers that are karpathy's auto research loop (not cited) or a codex optimization goal for…

X AI KOLs Timeline · 2026-05-26 Cached

A critical observation about recent industry AI papers lacking novelty, citing examples like SkillOpt that treat natural-language skills as trainable external parameters.

0 favorites 0 likes
#papers

@yaojingang: I downloaded all papers related to GEO, AEO, and AI search from the past two years — 41 in total. Read through them one by one, and gained many new insights and inspirations. All 41 papers have been pushed to the GitHub repository. Feel free to download. The address is at the end of the article. Some key insights to share: 1. GEO is not a replacement for SEO. SEO addresses whether content can be retrieved, indexed, and entered into the candidate set...

X AI KOLs Timeline · 2026-05-25 Cached

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.

0 favorites 0 likes
#papers

@HuggingPapers: Most upvoted papers on Hugging Face Daily Papers this week - CiteVQA: Benchmarking evidence attribution for trustworthy…

X AI KOLs Following · 2026-05-24 Cached

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.

0 favorites 0 likes
#papers

@tom_doerr: Categorized directory of LLM-based multi-agent papers https://github.com/taichengguo/LLM_MultiAgents_Survey_Papers…

X AI KOLs Timeline · 2026-05-13 Cached

A categorized directory of LLM-based multi-agent papers, including a survey paper and organized list of frameworks, orchestration, problem solving, simulation, and benchmarks.

0 favorites 0 likes
#papers

1,200 ICLR 2026 Papers with Public Code or Data [R]

Reddit r/MachineLearning · 2026-04-19

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.

0 favorites 0 likes
#papers

owainlewis/awesome-artificial-intelligence

GitHub Trending (daily) · 2026-06-18 Cached

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.

0 favorites 0 likes
← Back to home

Submit Feedback