submissions

submissions on Beyond Market Intelligence: a running collection of 12 stories we have gathered and hand-picked because they are worth your time. Every post here touches on submissions 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 submissions, 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.

Machine Learning

*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."

Machine Learning

[N] EACL 2027 Industry Track - Deadline 11 September [N]

The EACL 2027 Industry Track offers a vital platform to showcase practical insights and emerging challenges in deploying language technologies. We invite submissions from industry, government, and non-profit organizations—those building real-world applications beyond the core NLP community. Papers, limited to six pages (excluding references and appendices), require a dedicated "Limitations" section for acceptance. The deadline is approaching: **September 11, 2026**. For details, see the full CFP and consider contributing as a reviewer.

Machine Learning

AAAI 2027 Reviewer Bidding and Assignment Integrity [D]

Recent concerns regarding reviewer collusion at AAAI 2027, particularly within two-cycle review assignments, highlight a critical challenge in maintaining research integrity. The prevalence of submissions from a single geographic region increases the likelihood of these problematic pairings, potentially enabling unethical behavior.

EMNLP26 Cost [D]
Machine Learning

EMNLP26 Cost [D]

Navigating EMNLP26 costs can be confusing, as highlighted by recent community discussion. For students with one accepted paper, understanding the actual attendance price is key. Current registration rates fluctuate—registering now in August may present a $350 or $550 option. Confirm pricing details directly with the conference organizers for accurate information. Congratulations to all accepted researchers! For those considering career paths in AI, explore "How to Build a Career in AI: 3 Distinct Pathways" for valuable insights.

Machine Learning

Epistemic Intelligence in Machine Learning Neurips Workshop page limit? [D]

Submitting to the 3rd Workshop on Epistemic Intelligence in Machine Learning at Neurips requires careful preparation. While the organizers have yet to confirm a specific page limit, historical precedent suggests two likely scenarios: either mirroring the ICML workshop's 6-page limit or aligning with the main Neurips conference’s 9-page constraint. To ensure your paper meets submission guidelines, we recommend erring on the side of brevity. For further exploration of related topics, consider our recent analysis of EMNLP 26 cost considerations.

Machine Learning

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.

Machine Learning

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.

Machine Learning

AAAI 2027 Review: No code submission? [D]

AAAI 2027 paper reviews have revealed a concerning trend: a surprisingly low number of submissions include accompanying code. This deviates from AAAI's explicit emphasis on reproducibility and raises questions about the rigor of some submissions. While initial scoring will reflect this omission, we seek community input. Providing code fosters transparency and allows for validation – a practice we strongly advocate, as evidenced by our own consistent code sharing on ArXiv.

Machine Learning

NeurIPS 2026 post-rebuttal score distribution poll [D]

Curious about the NeurIPS 2026 post-rebuttal score distribution? With discussions surrounding potentially lower scores this year, a quick poll aims to gauge the average score breakdown after the rebuttal phase—excluding confidence weights. This is a preliminary look, acknowledging inherent self-selection bias. Share your vote here: [https://loppy.be/poll/yczuv8yo](https://loppy.be/poll/yczuv8yo). For deeper insights into NeurIPS trends, see our related article, "NeurIPS 2026 Main Track — Theory papers score tracking post Rebuttal [D]," for specific analysis.

Machine Learning

Neurips 2026: does every metareview recommend accept/reject? [D]

Navigating NeurIPS decisions can be perplexing. A recent discussion reveals a surprising trend: some metareviews already include an accept/reject recommendation—often a rejection. Your team’s experience, with a metareview expressing cautious optimism despite reviewer disengagement, highlights this complexity. While a strong rebuttal is crucial, the lack of engagement raises questions about future prospects. As explored in "No rebuttals from NeurIPS authors," reviewer responsiveness remains a significant challenge. Consider carefully whether continued hope aligns with the current situation.

Small Joys And Big Adventures (August 2026 Wallpapers Edition)
Articles on Smashing Magazine — For Web Designers And Developers

Small Joys And Big Adventures (August 2026 Wallpapers Edition)

August arrives with a fresh wave of possibilities – both the quiet joys and ambitious undertakings. To complement your month, we’ve curated a new collection of desktop wallpapers, designed to inspire and accompany you on every adventure, big or small. Explore these visuals and refresh your digital workspace. For those interested in the evolving landscape of digital platforms, you might find our recent article on SoundCloud’s acquisition of Nina Protocol particularly insightful. Discover the transformative power of a simple visual upgrade today.

Machine Learning

NeurIPS reviews coming in soon! [D]

NeurIPS reviews are anticipated to appear around July 22nd at 5:30 PM AoE, based on observations across social platforms. For those who submitted to NeurIPS 2026 – whether to workshops or the main/other tracks – we'd welcome your perspectives on the upcoming reviews. This period marks a critical juncture for researchers. Explore insights into model performance; for example, our recent article on "Schema," a harness achieving 99% on ARC-3, offers a relevant case study in pushing boundaries. Share your thoughts and prepare for the assessments!