What Does "Findings" Mean in EMNLP Workshop Paper Review Results?

A Reddit Help Post Sparks a Discussion on Review Mechanisms

Recently, a researcher posted a question in the Reddit machine learning community: their EMNLP Workshop paper showed "Findings" in the decision field, and they weren't sure whether this counted as accepted or something else.

This seemingly simple question reflects a widespread confusion in the academic conference review process — review outcomes are often not as black-and-white as "accepted" or "rejected." For first-time submitters, especially non-native English speakers, understanding the precise meaning of these terms is crucial.

This article will systematically walk through the positioning of EMNLP Findings, the special nature of Workshop papers, and the meaning of common review terminology.

What Exactly Is EMNLP Findings?

Findings: Positioned Between Main Conference Acceptance and Rejection

EMNLP (Empirical Methods in Natural Language Processing) is one of the top international conferences in the field of natural language processing, alongside ACL and NAACL — collectively known as the three major NLP conferences. Since its inaugural edition in 1996, EMNLP has grown into one of the most influential academic events in the field. ACL (Association for Computational Linguistics Annual Meeting) is the longest-running conference in NLP, while NAACL (North American Chapter of ACL Annual Meeting) focuses on the North American research community. In recent years, with the explosive growth of large language models, submission volumes to these three conferences have surged dramatically — EMNLP 2023, for example, received over 4,800 submissions with an acceptance rate of approximately 23%. This intense competition is one of the key reasons the Findings mechanism was created.

Findings of EMNLP (commonly shortened to Findings) is a special paper category first introduced at ACL 2020. Its creation was driven by a clear practical need: as the NLP field rapidly expanded, top conference submissions grew year over year, but the main conference's capacity (i.e., the number of oral and poster presentation slots) couldn't keep pace with the growth in submissions. This meant that many papers of solid or even excellent quality were rejected purely due to capacity constraints. The Findings mechanism was designed precisely to address this contradiction — providing a formal publication channel for papers that passed the peer review quality threshold but couldn't secure a main conference presentation slot.

Findings occupies a position between "main conference acceptance" and "rejection." When a paper is solid in quality and methodology but doesn't make it into the main conference program due to capacity limits or topic fit, the program committee recommends it for Findings. From an academic publishing perspective, Findings papers undergo the same peer review process as main conference papers; they simply rank slightly below the main conference acceptance threshold. These papers are formally published, citable, and indexed in the ACL Anthology.

ACL Anthology is an open-access digital library maintained by the Association for Computational Linguistics (ACL). It archives virtually all major conference and journal papers in NLP and computational linguistics dating back to 1965, with over 90,000 papers accumulated to date. Inclusion in ACL Anthology means a paper has received formal academic recognition in the field and can be discovered and cited through academic search engines like Google Scholar and Semantic Scholar. For Findings papers, inclusion in ACL Anthology is the core guarantee of their "formally published" status.

Does Findings Count as Formal Acceptance?

Addressing the Reddit author's central question — "Does this count as acceptance?" — the answer is clear: Findings is a form of formal acceptance, not a rejection. Papers recommended for Findings receive a level of recognition slightly below the Main Conference.

Here's a detailed comparison:

Dimension	Main Conference Acceptance	Findings Acceptance
Formally published	Yes	Yes
Citable	Yes	Yes
Indexed in ACL Anthology	Yes	Yes
Oral presentation opportunity	Yes (oral/poster)	Usually poster-only or online presentation
Academic prestige	Higher	Slightly below Main Conference
How to list on CV	Accepted to EMNLP	Accepted to Findings of EMNLP

In short, Findings papers are essentially the same as main conference papers in terms of publication and citation — the main differences lie in presentation format and academic impact.

What Should You Watch Out for When "Findings" Appears for a Workshop Paper?

Differences Between Workshop and Main Conference Review Mechanisms

Here's a critical detail: the Reddit author was referring to an EMNLP Workshop paper, not a main conference paper. Workshops are academic events organized around specific subtopics and represent an important but often underappreciated part of the conference ecosystem. They are typically organized by active researchers in a specific subfield who apply to be affiliated with the main conference. Each Workshop focuses on a particular theme, such as "Clinical NLP," "Low-Resource Language Processing," or "LLM Safety." Workshops have their own independent program committees and review processes, with review standards, acceptance rates, and procedures that differ notably from the main conference.

Generally speaking, Workshops have lower acceptance thresholds than the main conference, with acceptance rates typically between 40%-60%, shorter review cycles, and more concise reviewer feedback. Paper length requirements are also more flexible, usually accepting 4-page short papers and 8-page long papers. Workshop papers are also indexed in ACL Anthology, but typically carry less academic influence and prestige than main conference papers and Findings papers. Therefore, when "Findings" appears in a Workshop's decision field, its meaning may not be entirely consistent with the main conference's Findings mechanism — it needs to be interpreted in the context of the specific Workshop's organizational rules. It's worth noting that review standards vary significantly across different Workshops; some Workshops adopt the main conference's Findings mechanism, but the specific meaning may differ depending on the organizers' design.

Four Steps to Confirm Your Paper's Acceptance Status

When facing ambiguous review results, follow these steps to verify:

1. Check the official notification email: The organizing committee usually sends a clear Accept/Reject notification email — this is the most authoritative source.
2. Read the Workshop's Call for Papers: The call for papers typically specifies paper categories and acceptance policies.
3. Log into the submission system for detailed information: On platforms like OpenReview or Softconf, the decision field usually includes a full explanation. OpenReview has rapidly gained popularity in the AI field in recent years, known for its open review philosophy — some conferences publicly display reviewer comments and author responses to improve review transparency. ICLR was the first top conference to fully adopt OpenReview, and ACL-affiliated conferences are gradually migrating to it as well. Softconf/START is the traditional submission system used by the ACL community, with a relatively dated interface but mature functionality. Regardless of the platform, a paper's acceptance status is marked with specific fields in the system, but different conferences use these fields inconsistently — which is one of the technical reasons behind author confusion.
4. Contact the Program Chair directly: If the first three steps still don't provide clarity, politely emailing the organizing committee is the most reliable approach.

Quick Reference Guide to Academic Conference Review Terminology

Commonly Confused Acceptance Statuses

Questions like the Reddit post are actually quite common, indicating that the academic review system isn't particularly newcomer-friendly. Besides Findings, researchers may encounter the following status labels:

• Accept (Main): Main conference acceptance — the highest level of recognition.
• Accept (Findings): Recommended for Findings — formally accepted but at a slightly lower tier than the main conference.
• Conditional Accept: Conditionally accepted — the paper must be revised according to reviewer feedback before final acceptance.
• Reject: Rejection — the paper did not pass the review.
• Desk Reject: Rejected without peer review due to formatting non-compliance or being outside the call for papers scope. A Desk Reject means the paper was rejected before entering the formal peer review process, typically for procedural rather than academic quality reasons. Common causes include: the paper format not conforming to the conference template requirements (e.g., using the wrong LaTeX template or exceeding page limits), the paper topic clearly falling outside the conference's scope, obvious anonymization violations (e.g., revealing author identity in a double-blind review), and the paper having already been published in another formal venue (violating ACL's submission policy). For first-time submitters, carefully checking the formatting requirements and submission checklist in the call for papers is the most effective way to avoid a Desk Reject.

Practical Tips for First-Time Submitters

• Before submission: Carefully read the target conference's review guidelines and FAQ page to understand the possible acceptance categories.
• During review: Monitor status changes in the submission system and pay attention to every email from the organizing committee.
• After receiving results: If you have any questions, confirm through official channels immediately — don't draw conclusions based solely on brief labels in the submission system.
• Leverage academic communities: Reddit's r/MachineLearning and NLP scholar communities on Twitter are great channels for gaining peer experience — just as this author did.

Conclusion

Returning to the Reddit author's question, a clear answer can be given: Seeing "Findings" in the decision field typically means the paper has been formally accepted, not rejected. However, since this is a Workshop paper, the official notification email should still be treated as the final authority.

As NLP submission volumes continue to grow, acceptance categories like Findings — occupying the space between main conference acceptance and rejection — are becoming increasingly common. Understanding the meaning of these "gray areas" not only helps researchers correctly interpret review outcomes but also supports more strategic planning of submission strategies and academic career paths.