papers

"In the final published research papers, the number of papers from China exceeded that of the United States or Europe for the first time... 9 of the top 10 universities among the 2025 NeurIPS authors are located in China."

"Found 520 relevant papers, tried 25 techniques from them - including one from a paper published in February 2025, months after the AI's training cutoff. It literally couldn't have known about this technique without paper access."

"Giving them access to searchable literature seems to meaningfully close that gap."

"With papers: agent searched the literature before each idea. 520 papers considered, 25 techniques tried: AdaGC — adaptive gradient clipping (Feb 2025 paper, not in Claude's training data)"

"I’ve started using it to quickly figure out which papers are worth reading fully. Honestly, it’s helped me spot recurring trends and get a sense of which papers actually contribute strong results, without losing time on weak or irrelevant work."

"The project's beginning was motivated by the need to process a large number of research papers locally due to security policies restricting the use of external APIs."

"We created dailypapers.io a free newsletter that delivers the top 5 machine learning papers in your areas of interest each day, along with their summaries."

"The weird part is that the challenge isn’t always understanding the models or methods — it’s just sorting through the sheer number of papers and figuring out which ones are worth spending real time on."

"So I built a simple site to discover foundational AI papers, organized by: Model type / modality, Research lab or organization, Official paper links"

"I made a free newsletter https://dailypapers.io/ for researchers and ML engineers who are struggling to keep up with the crazy number of new papers coming out: we filter the best papers each day in the topics you care about, and sends them to you with brief summaries, so you can stay in the loop without drowning in arXiv tabs."

"I've been experimenting more recently, and the quality feels noticeably better, especially for getting a quick gist before deciding whether to deep-read something."

"found a curated set of deep learning papers prior to the paper bubble era. recommend for starters."

"Deepwriter approaches this with a multi-agent architecture."

"I've recently created a subreddit focused on posts about scientific ML research and discussion. r/ScientificDL is intended to concentrate on posts surrounding this approach: Theory->Predictions->Empirics->Implications."

"I've recently created a subreddit focused on posts about scientific ML research and discussion. r/ScientificDL is intended to concentrate on posts surrounding this approach."

"AI conferences have rushed to restrict the use of LLMs for writing and reviewing research papers in recent months after being flooded with AI-generated slop"

"It can be described as a resource hub, providing a large number of AI datasets, cutting-edge research papers in the field of AI, and daily news updates from the AI ​​community."

"Scientists who appeared to use LLMs posted 33% more papers on arXiv than those who didn't."

"The author began by investigating a social media post that questioned the necessity of comparing research to existing work in papers."

"RAG (Retrieval-Augmented Generation) is a technique that improves the accuracy of responses by providing external knowledge to Large Language Models."

"The source is ArXiv, suggesting a pre-print publication."

"PubTables-v2 is a new large-scale dataset for full-page and multi-page table extraction."

"FLAWS is a benchmark for error identification and localization in scientific papers."

"The study aims to leverage digitized newspapers."

"The article's core content revolves around a discussion of AI/ML papers."

"The article is sourced from Hacker News."

"The article is a discussion on Hacker News requesting recommendations for significant AI, ML, and DL papers and their applications."

"The context implies a discussion of impactful research."