🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

The dataset proposed in our NAACL paper has been released! Let's analyze the capability of LLMs in terms of the fact-level popularity📈 github: github.com/megagonlabs/wi… #NAACL

📢New Preprint📢 LLMs excel at ranking items for retrieval/recommender systems. But, what if we reduce the number of items and instead enforce multiple conditions as ranking instructions? It turns out, LLMs have a long way to go. See our new paper: arxiv.org/abs/2404.00211. 1/n

Let’s push the boundaries of #LLMs in text editing tasks! XATU is the first-of-its-kind benchmark that addresses the nuances of text editing, revolutionizing how we edit text with large language models. Don't miss the presentation at #Coling2024! #AI #NLP megagon.ai/xatu-fine-grai…

🎉 Our long paper has been accepted for the #EMNLP2024 main conference! In "AmbigNLG," co-authored with Hayate Iso, we tackle task ambiguity in NLG instructions to better align LLM outputs with your expectations. 📃 Read more: arxiv.org/abs/2402.17717

⚡️Are you working with #NLP or #AI-driven products for Natural Language Generation (#NLG)? Task ambiguity is a common pain point and AmbigNLG changes that! AmbigNLG is designed to solve task ambiguity in instructions for NLG. What it is... 👇🧵

📢Excited to bring the DAIS workshop to ICDE'25 (w/ sainyam galhotra @FarihaAnna Michael Cafarella Sairam Gurajada) The focus is on the emerging idea of compound AI systems with a specific emphasis on data discovery, interactions w/ data, architectures for #AgenticAI+#LLM, and evaluation.

The CFP of DAIS@ICDE2025 has been released 👇

🌴Heading to #EMNLP2024! Presenting AmbigNLG with Ayana Niwa on Tuesday at 4pm (Riverfront Hall). Paper: aclanthology.org/2024.emnlp-mai… Data: github.com/megagonlabs/am… You can also stop by our Megagon Labs sponsor booth or DM me to chat about full-time and internship opportunities :)

🚀 Want to improve your LLM responses? Read our tutorial for implementing AmbigNLG! Addressing task ambiguity in Natural Language Generation to drive more accurate, context-aligned outputs. Hayate Iso megagon.ai/ambignlg-a-tut… #AmbigNLG #NLP #tutorial #LLMs #EMNLP2024 #MLEngineering

Inference at scale is pushing the boundaries of what today’s systems can handle. One promising direction? #DisaggregatedInference — splitting the serving pipeline into distinct stages like prefill and decode — to unlock better performance across the throughput-interactivity

👀New #NVIDIAResearch on boosting MoE model performance with disaggregated serving. Learn how our NVIDIA Dynamo and GB200 NVL72 work together to boost the performance of #AI data centers running MOE models like DeepSeek R1 and the new Llama 4. ⚡ Technical deep dive➡️

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What if you could ask a chatbot a question the size of an entire encyclopedia—and get an answer in real time? Multi-million token queries with 32x more users are now possible with Helix Parallelism, an innovation by #NVIDIAResearch that drives inference at huge scale. 🔗