Siva Sankalp (@sivasankalp) 's Twitter Profile
Siva Sankalp

@sivasankalp

Research Software Engineer @ IBM TJ Watson Research Center | Machine Learning Enthusiast | Chelsea FC | Music Lover

ID: 2368598653

calendar_today02-03-2014 09:07:02

12 Tweet

31 Followers

191 Following

WE ARE THE SHED ⭐⭐ (@weare_theshed) 's Twitter Profile Photo

There are players where the word legend simpy doesn't do them justice... Frank Lampard is one of them. #ForeverABlueForeverALegend #CFC 💙

There are players where the word legend simpy doesn't do them justice... Frank Lampard is one of them.

#ForeverABlueForeverALegend  #CFC 💙
Kartik Talamadupula (@kr_t) 's Twitter Profile Photo

The #AAAI2021 Demonstrations Program is accepting submissions! Deadline September 18, call and more details here: aaai.org/Conferences/AA… We are also accepting nominations to the program committee (PC) - please use this link to nominate: ibm.biz/aaai21-demos-pc AAAI #AI

Avi Sil (@aviaviavi__) 's Twitter Profile Photo

Want to build a multi-domain Reading Comprehension system that is fast (16x!!) and is SOTA? Come and check out VAULT (VAriable Unified Long Text representation for QA) with @elgreco_winter H @NLPIllinois1 Radu Florian IBM Research at 14E: QA #4 Time: 14UTC, 10amEDT

Want to build a multi-domain Reading Comprehension system that is fast (16x!!) and is SOTA? Come and check out VAULT (VAriable Unified Long Text representation for  QA) with @elgreco_winter <a href="/HaoyangWen/">H</a> @NLPIllinois1  <a href="/hansolosan/">Radu Florian</a> <a href="/IBMResearch/">IBM Research</a> at 14E: QA #4 Time: 14UTC, 10amEDT
Eyal Shnarch (@eyalshnarch) 's Twitter Profile Photo

EMNLP 2025 starts on Sunday! I've gathered for you all IBM Research papers and activities here: ibm.biz/emnlp2021 🤖👻 Don't hesitate to ask me questions about #EMNLP2021, #IBM, industrial #MachineLearning and cats (all are highly recommended, especially the latter)

Sara Rosenthal (@seirasto) 's Twitter Profile Photo

Are you building and evaluating RAG systems? Presenting InspectorRAGet arxiv.org/abs/2404.17347 a platform for easily analyzing overall performance, instance level analysis, comprehensive metrics, and multiple models and more!