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ServiceNow AI Research

@ServiceNowRSRCH · Montréal, Québec · joined 20 Jul 2016

Unlock work experiences of the future. Join @ServiceNowRSRCH as we advance the state-of-the-art in Enterprise AI. #ServiceNowResearch #LifeAtNow #Hiring

18 721Followers
1 249Following
2 345Posts total
17.4KViews on collected posts

Последние посты

Thrilled to share 5 papers accepted at EMNLP 2026! 🥳 🤖 Agent augmentation ROI analysis: https://t.co/LRGSrS1ZgS 🔄 Personalized workflow prediction: DRFLOW - https://t.co/JcGtfcWeYO 🔍 RAG advances: metadata-guided (MCompassRAG - https://t.co/9SVOHl1YB5) & hierarchical 694 views · 3 likes · 1 reposts · 1 replies Open on X →
GPT-Realtime-2.1 vs 2.0, benchmarked on EVA-Bench: 📈 Accuracy: 50% → 59% 📈 Conversational Experience: 39% → 62% 🔐 User authentication: 84% → 95% 2.1 lands on the Pareto frontier 🚀 📊 Leaderboard: https://t.co/v4QJZwzUsd 1.1K views · 2 likes · 2 reposts · 1 replies Open on X →
@ServiceNowRSRCH Appreciate you sharing the benchmarks! We're excited about the progress 🚀 4.2K views · 15 likes · 0 reposts · 3 replies Open on X →
Keeping a close eye on the EnterpriseOps-Gym leaderboard: open-weight models like Meta's Muse Spark 1.2 are dropping soon to compete for the top spot on real enterprise agentic tasks. 🔓 7.1K views · 13 likes · 2 reposts · 1 replies Open on X →
Benchmark scores are saturating; understanding isn't. The Core AI team's new work, SynthDocBench (accepted at COLM 2026!), shows frontier VLMs that ace DocVQA still break down on long, chart-heavy documents — and isolates exactly where. Essential reading if you work on 1.2K views · 7 likes · 1 reposts · 0 replies Open on X →
We are excited to release 📊 SynthDocBench (🎉 Accepted at COLM 2026)!   Frontier VLMs score 95%+ on DocVQA. So why do they fall apart on long documents?   SynthDocBench isolates the reason—the bottleneck isn't reasoning, it's perception 🧵.   #COLM2026 https://t.co/6bGpbc5ABU
2.1K views · 14 likes · 6 reposts · 8 replies Open on X →
🚀 Three papers accepted to COLM 2026! We're excited to share our latest work in reasoning, embeddings, and agent grounding with the research community. 👇 1K views · 7 likes · 1 reposts · 1 replies Open on X →

На фоне аккаунтов своего размера

7 постов за последние 90 дней рядом с диапазоном 10K–100K подписчиков. показывается широко, но откликается мало кто.

Медианные просмотры1 189этот аккаунт927медиана для 10K–100K
Охват, %6.35%этот аккаунт3.40%медиана для 10K–100K
Вовлечённость, %0.67%этот аккаунт1.54%медиана для 10K–100K
ПоказательЭтот аккаунтМедиана для 10K–100KОтношение
Медианные просмотры на пост1 1899271.28×
Охват (просмотры ÷ подписчики)6.35%3.40%1.87×
Вовлечённость0.67%1.54%0.44×

Другие в этом диапазоне →   Сравнить с другим аккаунтом →   Как считаются эти ориентиры →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

1K14 Jul
2.1K15 Jul
1.2K
7.1K11 Aug
4.2K
1.1K13 Aug
69424 Aug

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.88%14 Jul
1.43%15 Jul
0.67%
0.22%11 Aug
0.43%
0.47%13 Aug
0.72%24 Aug

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.54%.

What the audience does

Likes58.7%61 in total
Reposts12.5%13 in total
Replies14.4%15 in total
Quotes1.9%2 in total
Bookmarks12.5%13 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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