publication
publication on Beyond Market Intelligence: a running collection of 18 stories we have gathered and hand-picked because they are worth your time. Every post here touches on publication in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around publication, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
Seattle Times and Newsday are the latest publications to sue OpenAI and Microsoft
The legal landscape surrounding AI training data continues to evolve. Following similar actions, *The Seattle Times* and *Newsday* have filed lawsuits against OpenAI and Microsoft, alleging the unauthorized use of their journalistic content to train AI models. These suits highlight growing concerns about copyright and fair use in the rapidly advancing field of artificial intelligence. For further insight into AI agent behavior and related developments, explore our article, "OpenAI confirms ‘wiki incident’…"
ACML 2026 Journal Track Any update ?[D]
Submitting to ACM’s 2026 Journal Track can be a pivotal step in research dissemination. Many researchers, like /u/Jealous_Key_4030, are awaiting review decisions—the official release date was August 27th, and timely feedback is crucial. If you've received your review, please share your experience to help others. Delays can be frustrating, so reaching out to the program chairs is a proactive approach. For further insights into presenting machine learning work, consider "Good Machine Learning Posters," a related discussion exploring effective poster design.
*ACL Findings or TMLR? [D]
Navigating the conference publication landscape presents a strategic challenge. With NeurIPS appearing unlikely given current scores, the decision between Transactions on Machine Learning Research (TMLR) and *ACL Findings* warrants careful consideration. While both venues offer visibility, *ACL Findings* likely presents a higher probability of acceptance. Genuinely curious about industry perspectives: would you prioritize *ACL Findings* or TMLR on your publication record? For deeper insights into related AI discovery research, explore our article on "Autonomous Mathematical Discovery in an Open-World Multi-Agent Environment."
NeurIPS accepted papers leaked? [D]
A significant development has emerged: a GitHub repository containing approximately 7,000 papers, potentially representing the accepted submissions for NeurIPS 26, has surfaced. While some entries are anonymized, the level of detail suggests a high degree of accuracy. The early release raises questions about authenticity, and confirmation from the NeurIPS community is actively being sought. This situation highlights the increasing importance of responsible data handling and access. For further context on AI agent capabilities, explore our recent article, "You Never Told Your Agent What Done Means.
Does registering an abstract, not the full submission yet, count as a double submission? [D]
Navigating conference submission guidelines can be tricky. A common question arises: does registering an abstract—prior to the full paper submission—constitute a double submission? This query, posed by /u/obliviousphoenix2003, highlights a crucial point for researchers. To ensure compliance and avoid potential rejection, always verify the specific rules of the target conference. For example, as detailed in "Catching bugs in scikit-learn," meticulous attention to detail, even in underlying libraries, is essential for robust research.
A New Towards Data Science: A Faster Site and a Brand-New Contributor Portal
Towards Data Science is evolving to better serve our community. We've completely rebuilt our website and launched a brand-new contributor portal, designed to enhance both reading and writing experiences. Expect a noticeably faster site and streamlined submission process. This transformation empowers data scientists and enthusiasts to explore insights and share expertise more effectively. For those interested in the broader landscape of AI-powered tools, consider our recent piece on Claude’s expanded memory capabilities. Discover the improvements and unlock your data storytelling potential today.
Archival vs non archival workshop [R]
Understanding NeurIPS workshop archiving is crucial for maximizing the impact of your work, particularly for graduate school applications. A key distinction exists: NeurIPS workshops, like many others, are typically non-archival. Consequently, publication in a proceeding may carry less weight than a peer-reviewed journal. For context, consider how preprints and subsequent publications are handled—a discussion explored in our article, "How to cite/talk about preprint-subsequent works for a camera-ready version?". Prioritize venues that offer robust archival to strengthen your academic record.
Rejected at EMNLP with decent scores. What can be done next? [D]
Facing rejection at EMNLP, even with promising scores (average 2.83), can be disheartening, especially for a first-time solo author. The key now is strategic action. Prioritize resubmission to ACL Rolling Review (ARR) to leverage existing reviewer feedback—though anticipate new assignments. Given your need for timely publication for internships, a swift ARR resubmission is likely the most effective path. Consider how low-capacity networks can acquire fine-grained scoring, as explored in "Estimating from No Data: Deriving a Continuous Score from Categories," for potential avenues of improvement.
Discussion thread for EMNLP 2026 Notifications/Results [D]
EMNLP 2026 notifications and results are expected to be released today – wishing everyone the best as they gather in Budapest! This thread serves as a central hub for discussion surrounding these announcements. We anticipate a lively exchange as the community processes the outcomes. For context, recent developments in AI integration with spreadsheet tools are impacting workflows; for example, Microsoft is retiring the COPILOT function in Excel. Explore the thread for updates and share your insights.
TMLR Relevance and Prestige [D]
Acceptance to *TMLR* signifies a notable achievement in machine learning research. While *NeurIPS*, *ICLR*, and *ICML* consistently rank as the highest-tier AI conferences, *TMLR* (Transactions on Machine Learning Research) holds considerable prestige as a respected journal. It’s generally considered on par with *JMLR* (Journal of Machine Learning Research) in terms of rigor and impact. Securing publication in *TMLR* demonstrates a commitment to well-validated, theoretically sound work. For further insights into transparency in algorithmic ranking, explore our article on X’s open-sourcing of its ranking algorithm.
CIKM '26 Notification [D]
The results are in for CIKM '26! We're pleased to announce acceptances from our submissions, with 3 out of 6 full papers and 1 out of 3 short papers moving forward. A strong showing reflecting the innovative work being done in the field. For those seeking further context on related trends, consider exploring our piece, "2026 NeurIPS: Where are you going?" – a timely look at conference planning. Congratulations to all submitters and we look forward to seeing these contributions come to life.
ECCV workshop, camera ready instructions? [D]
Navigating workshop camera-ready submissions can be surprisingly opaque. Many organizers, like those for ECCV, lack readily available instructions, leaving authors understandably uncertain. While some workshops facilitate PDF uploads via OpenReview, crucial details regarding copyright forms and LaTeX source files remain unclear. To ensure a smooth submission process, proactively seek clarification from the workshop team. For broader context on AI-driven workflows and infrastructure supporting research, explore our recent article, "Exclusive: Mirendil inks $100M+ Google Cloud deal to scale self-improving AI."
How to file a complaint about a published CVPR paper? [R]
Concerns regarding unfulfilled data release promises in published CVPR papers are increasingly relevant. If a CVPR paper’s core contribution—a dataset—remains unavailable despite conference requirements and author commitments (such as an empty GitHub repository), a formal complaint is warranted. The process isn’t always clear, but it’s essential to ensure accountability and maintain research integrity. Explore the CVPR website and conference guidelines for specific complaint procedures; a lack of dataset availability undermines the validity of the research.
Bad but typical NeurIPS experience? [D]
The NeurIPS review process, as highlighted by one researcher's experience, can be a frustrating lottery. Despite conscientious reviewing and generous scoring, unexpectedly harsh reviews and unresponsive area chairs created a deeply discouraging experience. Adversarial reviewer feedback, coupled with a late-stage AC response, underscored the system’s inherent unpredictability and potential toxicity. This highlights a broader issue within the AI research community, prompting discussions around reviewer accountability—as explored in articles like "NeurIPS 2026: If the rebuttal addresses your concern, please raise your score."
No replies to rebuttals and comments even by AC [D]
A concerning trend has emerged: many submissions are experiencing a complete lack of response to submitted rebuttals, even from Area Chairs. This situation, where feedback isn't addressed during the designated discussion period, undermines the review process. While frustrating, it’s crucial to acknowledge this systemic issue. Our community is actively documenting these challenges – see, for example, "No rebuttals from Neurips authors [D]" for broader coverage. Explore alternative strategies for ensuring your work receives due consideration despite these obstacles.
Editing Neurips Rebuttal [D]
Regarding NeurIPS rebuttal edits, a clarification is emerging. The post-rebuttal button will transition to an “official comment” status on July 27th AoE. While we anticipate you'll retain the ability to edit your rebuttal after this change, we advise monitoring closely. For a deeper understanding of the NeurIPS meta-reviewer response process, explore our article, "How exactly does the NeurIPS meta reviewer response work?". Stay informed as these crucial deadlines approach.
NeurIPS 2026 reviews exact timing[D]
The anticipation surrounding NeurIPS 2026 review release dates is understandably high. Many researchers find themselves frequently checking OpenReview, as highlighted by /u/Anshuman3480. While exact timing remains unconfirmed, historical patterns suggest a phased release, typically beginning mid-November. We understand the stress of waiting; staying informed is key. For those tracking submission numbers more broadly, our recent article on "Number of Submissions @ AAAI" offers related insights into the conference timeline. We’ll update this space as official announcements become available.
TACL journal doubts [D]
Navigating the TACL review process can understandably generate questions. Submitting around June 1st for the July cycle suggests reviews may arrive within the subsequent weeks, though timelines can vary. Historically, the full TACL publication process takes several months. TACL holds considerable respect within the NLP community, viewed as a strong venue for impactful research. Its reputation reflects a rigorous review process and high publication standards. For those exploring related avenues, consider reviewing discussions around short-paper submissions at ACL/EMNLP/EACL, as detailed in a recent article.