Oren Sultan (@oren_sultan) 's Twitter Profile
Oren Sultan

@oren_sultan

AI Researcher @Lightricks, CS PhD Candidate #AI #NLP @HebrewU, advised by @HyadataLab ๐Ÿ‡ฎ๐Ÿ‡ฑ | prev. @TU_Muenchen ๐Ÿ‡ฉ๐Ÿ‡ช @UniMelb ๐Ÿ‡ฆ๐Ÿ‡บ

ID: 1423192726670135300

linkhttp://www.orensultan.com calendar_today05-08-2021 08:02:52

502 Tweet

790 Followers

624 Following

LTX Studio (@ltxstudio) 's Twitter Profile Photo

We've partnered with Ari Folman, the Oscar nominated and two time Golden Globe winning director, on the first ever project created with the help of LTX Studio. As you can see, weโ€™re all about bringing dreams to life and experience storytelling transformed.

Yunyao Li (@yunyao_li) 's Twitter Profile Photo

Thanks Dan Roth for an inspiring talk on LLMs and reasoning DaSH #NAACL2024. Looking forward to hearing more at our panel discussion later today.

Thanks <a href="/DanRothNLP/">Dan Roth</a> for an inspiring talk on LLMs and reasoning <a href="/dash_workshop/">DaSH</a> #NAACL2024. Looking forward to hearing more at our panel discussion later today.
hele (@helekuul) 's Twitter Profile Photo

One week ago today, I was at #NAACL in Mexico City ๐Ÿ‡ฒ๐Ÿ‡ฝ presenting a poster on our work about the Llammas๐Ÿ‘language model. Taking part in such a large event for the first time was an exciting experience, and I hope there will be more to come!๐Ÿ˜Š #NAACL24 #NAACL2024

One week ago today, I was at #NAACL in Mexico City ๐Ÿ‡ฒ๐Ÿ‡ฝ presenting a poster on our work about the Llammas๐Ÿ‘language model. Taking part in such a large event for the first time was an exciting experience, and I hope there will be more to come!๐Ÿ˜Š

#NAACL24 #NAACL2024
Siyu Yuan (@siyu_yuan_) 's Twitter Profile Photo

๐Ÿš€ Excited to introduce EvoAgent! A generic method to automatically extend expert agents to multi-agent systems via the evolutionary algorithm! Paper๐Ÿ“„: arxiv.org/pdf/2406.14228 Website๐ŸŒ: evo-agent.github.io Code๐Ÿ’ป: github.com/siyuyuan/evoagโ€ฆ [1/6]

๐Ÿš€ Excited to introduce EvoAgent! A generic method to automatically extend expert agents to multi-agent systems via the evolutionary algorithm!

Paper๐Ÿ“„: arxiv.org/pdf/2406.14228
Website๐ŸŒ: evo-agent.github.io
Code๐Ÿ’ป: github.com/siyuyuan/evoagโ€ฆ
[1/6]
Oren Sultan (@oren_sultan) 's Twitter Profile Photo

Greetings from Fort Lauderdale, USA ๐Ÿ‡บ๐Ÿ‡ธ Last destination for my post conference trip! Soon to be back in Tel Aviv, Israel ๐Ÿ‡ฎ๐Ÿ‡ฑ

Greetings from Fort Lauderdale, USA ๐Ÿ‡บ๐Ÿ‡ธ
Last destination for my post conference trip! Soon to be back in Tel Aviv, Israel ๐Ÿ‡ฎ๐Ÿ‡ฑ
Maor Ivgi (@maorivg) 's Twitter Profile Photo

1/7 ๐Ÿšจ What do LLMs do when they are uncertain? We found that the stronger the LLM, the more it hallucinates and the less it loops! This pattern extends to sampling methods and instruction tuning. ๐Ÿงต๐Ÿ‘‡ Mor Geva Jonathan Berant Ori Yoran

1/7 ๐Ÿšจ What do LLMs do when they are uncertain? We found that the stronger the LLM, the more it hallucinates and the less it loops! This pattern extends to sampling methods and instruction tuning. ๐Ÿงต๐Ÿ‘‡
<a href="/megamor2/">Mor Geva</a> <a href="/JonathanBerant/">Jonathan Berant</a> <a href="/OriYoran/">Ori Yoran</a>
Shachar Don-Yehiya (@shachar_don) 's Twitter Profile Photo

Human feedback is critical for language models development ๐Ÿ’ฌ, but collecting it is costly ๐Ÿค‘ We find that users naturally include feedback when interacting with chat models, and we can automatically extract it! arxiv.org/abs/2407.10944 W Leshem Choshen ๐Ÿค–๐Ÿค— Omri Abend ๐Ÿงต๐Ÿ‘‡

Human feedback is critical for language models development ๐Ÿ’ฌ, but collecting it is costly ๐Ÿค‘

We find that users naturally include feedback when interacting with chat models, and we can automatically extract it!

arxiv.org/abs/2407.10944

W <a href="/LChoshen/">Leshem Choshen ๐Ÿค–๐Ÿค—</a> <a href="/AbendOmri/">Omri Abend</a> ๐Ÿงต๐Ÿ‘‡
ืื™ืœ ื ื•ื” - Eyal Naveh (@eyalnaveh1) 's Twitter Profile Photo

ื ืชื ื™ื”ื•, ืื ื™ ืžื•ืฉืš ื‘ื“ืฉ ืžืขื™ืœืš. ืขืฆื•ืจ ืืช ื”ื˜ื™ืจื•ืฃ ืื• ืชื™ื–ื›ืจ ื›ืžื—ื•ืœืœ ืฉืœื•. ื–ืืช ื”ื”ื–ื“ืžื ื•ืช ื”ืื—ืจื•ื ื” ืœืขืฉื•ืช ืกื™ื‘ื•ื‘ ืคืจืกื” ื•ื‘ืžืงื•ื ืœืงืจื•ืข ืืช ื™ืฉืจืืœ - ืœื“ืื•ื’ ืœืขืชื™ื“ื”

Yonatan Bitton (@yonatanbitton) 's Twitter Profile Photo

1/4 ๐Ÿงฉ Excited to share our new paper "Visual Riddles"! We explore how small visual details can greatly impact understanding, providing a rigorous test for both visual comprehension and world knowledge factuality. ๐Ÿงต

LTX Studio (@ltxstudio) 's Twitter Profile Photo

Remember when we partnered with award-winning filmmaker Ari Folman? Check out how he used LTX Studio throughout his project to visualize his concept in the thread below ๐Ÿงตโฌ‡๏ธ Make sure to follow our posts later today for a big announcement coming soon ๐Ÿ‘€ x.com/LTXStudio/statโ€ฆ

Gil Dickmann (@gildickmann) 's Twitter Profile Photo

ืกืœื™ื—ื”, ื›ืจืžืœื™. ืกืœื™ื—ื” ืฉืœื ืขืฆืจื ื• ื›ืฉืขื•ื“ ื”ื™ื” ืืคืฉืจ. ืกืœื™ื—ื” ืฉื ืชื ื• ืœื”ื ืœื”ืจื•ื’ ืื•ืชืš. ื”ืœื•ื•ืื™ ืฉืจืื™ืช ื•ืฉืžืขืช ืื•ืชื ื•. ื”ืœื•ื•ืื™ ืฉืœืžืจื•ืช ืฉืจืื™ืช ื‘ืขื™ื ื™ื™ื ืืช ื”ืจืฆื— ื”ื ื•ืจื ืฉืœ ืืžื ื›ื ืจืช, ื’ื™ืœื™ืช ืฉืื‘ื ืืฉืœ ื•ืื—ื™ื™ืš ืืœื•ืŸ ื•ืื•ืจ, ื”ื’ื™ืกื” ืฉืœืš ื™ืจื“ืŸ ื•ื”ืื—ื™ื™ื ื™ืช ืฉืœืš ื’ืคืŸ, ืฉืจื“ื•. ื”ืœื•ื•ืื™ ืฉืจืื™ืช ืื™ืš ื”ื—ื‘ืจื•ืช ืฉืœืš ื ืื‘ืงื• ื›ื“ื™ ืฉืชื—ื–ืจื™

ืกืœื™ื—ื”, ื›ืจืžืœื™. 

ืกืœื™ื—ื” ืฉืœื ืขืฆืจื ื• ื›ืฉืขื•ื“ ื”ื™ื” ืืคืฉืจ. 
ืกืœื™ื—ื” ืฉื ืชื ื• ืœื”ื ืœื”ืจื•ื’ ืื•ืชืš. 

ื”ืœื•ื•ืื™ ืฉืจืื™ืช ื•ืฉืžืขืช ืื•ืชื ื•. ื”ืœื•ื•ืื™ ืฉืœืžืจื•ืช ืฉืจืื™ืช ื‘ืขื™ื ื™ื™ื ืืช ื”ืจืฆื— ื”ื ื•ืจื ืฉืœ ืืžื ื›ื ืจืช, ื’ื™ืœื™ืช ืฉืื‘ื ืืฉืœ ื•ืื—ื™ื™ืš ืืœื•ืŸ ื•ืื•ืจ, ื”ื’ื™ืกื” ืฉืœืš ื™ืจื“ืŸ ื•ื”ืื—ื™ื™ื ื™ืช ืฉืœืš ื’ืคืŸ, ืฉืจื“ื•. ื”ืœื•ื•ืื™ ืฉืจืื™ืช ืื™ืš ื”ื—ื‘ืจื•ืช ืฉืœืš ื ืื‘ืงื• ื›ื“ื™ ืฉืชื—ื–ืจื™
Omri Avrahami (@omriavr) 's Twitter Profile Photo

[1/7] ๐Ÿ“œ I can finally share that our recent @NVIDIA project DiffUHaul --- A Training-Free Method for Object Dragging in Images has been accepted to #SIGGRAPHAsia2024 ๐ŸŽ‰. Project Page: omriavrahami.com/diffuhaul/

Leshem Choshen ๐Ÿค–๐Ÿค— (@lchoshen) 's Twitter Profile Photo

Human feedback is critical for aligning LLMs, so why donโ€™t we collect it in the open ecosystem?๐Ÿง We (15 orgs) gathered the key issues and next steps. Envisioning a community-driven feedback platform, like Wikipedia alphaxiv.org/abs/2408.16961 ๐Ÿงต

Human feedback is critical for aligning LLMs, so why donโ€™t we collect it in the open ecosystem?๐Ÿง
We (15 orgs) gathered the key issues and next steps.
Envisioning
a community-driven feedback platform, like Wikipedia

alphaxiv.org/abs/2408.16961
๐Ÿงต