This repository provides the official LaTeX style files (acl.sty, acl_natbib.bst) and templates for *ACL conference paper submissions. The acl.sty file configures double-column A4 layout, title/author formatting, line numbering for review copies, hyperref integration, and citation style via natbib. The acl_natbib.bst bibliography style implements author-year citation formatting with advanced features: author list truncation for >20 authors (showing 'and N others'), URL/DOI/eprint hyperlinks via urlbst integration, and proper handling of literal 'and others' entries. A regression test suite in Python validates the .bst's author-list formatting by driving the actual bibtex binary and parsing its output. This is not a software application in the traditional sense but a highly maintained, well-tested LaTeX package used by thousands of researchers annually.
This repository is a comprehensive data pipeline and curation system for academic papers in the fields of search, recommendation, and advertising (known as 搜广推 in Chinese). It consists of three primary automated workflows: daily arXiv paper fetching with LLM-based relevance scoring (rough and fine ranking) and output to HTML/Feishu notifications; conference paper aggregation where metadata from top venues (KDD, SIGIR, RecSys, etc.) is crawled from DBLP/DBLP and stored as markdown tables; and a curated industry practice article index with its own HTML page. All are driven by GitHub Actions and deploy to GitHub Pages. The codebase is functional but exhibits typical research-project messiness: legacy scripts coexist with a newer paperBotV2 refactor, many conference paper tables have incomplete fields (empty abstracts, zero recommendation scores), and the environment relies on unpinned Python package versions and external APIs (DeepSeek, arXiv, DBLP). The arXiv daily pipeline is the most polished component, featuring retry logic, status tracking, and two-stage LLM ranking. Overall, the repo is a pragmatic automation for researchers but not production-grade software.
This repository is a curated, community-driven directory of academic computer science papers, organized by topic (e.g., distributed systems, cryptography, machine learning). It primarily consists of README files listing papers with links to hosted PDFs or external sources, along with a subset of PDF files stored directly in the repo. The only executable code is a simple bash script (`scripts/download.sh`) that scrapes markdown files for PDF URLs and downloads them. There are no data pipelines, models, or analytics workflows. The value lies in the curated bibliography, not in any software implementation. As such, it is not a typical software application or data research project; it is a reference resource for practitioners and researchers.