Jaskirat Singh @1jaskiratsingh
Ph.D. Candidate at Australian National University | Intern @AIatMeta GenAI | @AdobeResearch | Multimodal Fusion Models and Agents | R2E-Gym | REPA-E 1jsingh.github.io Seattle, Washington Joined June 2018-
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We’re excited to launch Oasis 2.0! ✨ Instead of generating new worlds, transform any game world into any style, in real time 🎮
We’re excited to launch Oasis 2.0! ✨ Instead of generating new worlds, transform any game world into any style, in real time 🎮
Can AI solve open problems in math, physics, coding, medical sciences & beyond? We collected unsolved questions (UQ) & tested frontier LLMs. Some solutions passed expert validation…
Come share your work at the efficient reasoning workshop @NeurIPSConf 2025 🎉 🔗: efficient-reasoning.github.io
Come share your work at the efficient reasoning workshop @NeurIPSConf 2025 🎉 🔗: efficient-reasoning.github.io
I know op is click-baiting, but let me bite... fwiw every researcher’s DREAM is to find out their architecture is wrong. If it’s never wrong, that’s a bigger problem. we try to break DiT every day w/ SiT, REPA, REPA-E etc. but you gotta form hypotheses, run experiments, test, not…
I know op is click-baiting, but let me bite... fwiw every researcher’s DREAM is to find out their architecture is wrong. If it’s never wrong, that’s a bigger problem. we try to break DiT every day w/ SiT, REPA, REPA-E etc. but you gotta form hypotheses, run experiments, test, not…
Thanks so much for having me @SentientAGI @openagisummit!
Thanks so much for having me @SentientAGI @openagisummit!
🚨 Announcing DCVLR: The Data Curation Challenge for Vision-Language Reasoning! 🚨 @Oumi_PBC launches DCVLR, an open-source initiative to build the best reasoning datasets for Vision-Language Models (VLMs) 💫 🔍 Why: Vision-language data generation lags behind language-only…
Want to add that even with language-assisted visual evaluations, we're seeing encouraging progress in vision-centric benchmarks like CV-Bench (arxiv.org/abs/2406.16860) and Blink (arxiv.org/abs/2404.12390), which repurpose core vision tasks into VQA format. These benchmarks do help…
Want to add that even with language-assisted visual evaluations, we're seeing encouraging progress in vision-centric benchmarks like CV-Bench (arxiv.org/abs/2406.16860) and Blink (arxiv.org/abs/2404.12390), which repurpose core vision tasks into VQA format. These benchmarks do help…
Nice write-up from Guangxuan on the attention sink mechanism — a key component of OpenAI’s latest OSS model. I still remember him first mentioning it over a casual dinner — incredible to see how far it’s come.
Nice write-up from Guangxuan on the attention sink mechanism — a key component of OpenAI’s latest OSS model. I still remember him first mentioning it over a casual dinner — incredible to see how far it’s come.
Excited about our new work: Language models develop computational circuits that are reusable AND TRANSFER across tasks. Over a year ago, I tested GPT-4 on 200 digit addition, and the model managed to do it (without CoT!). Someone from OpenAI even clarified they NEVER trained…
yes. but you should all follow Ken Liu (@kyliu99) and read his novels. he’s my favorite sci-fi writer and just an incredible person. Ken’s been hands-on with AI for years. No surprise Pantheon clicks so hard with many researchers. I remember a few years ago he fine-tuned his own…
yes. but you should all follow Ken Liu (@kyliu99) and read his novels. he’s my favorite sci-fi writer and just an incredible person. Ken’s been hands-on with AI for years. No surprise Pantheon clicks so hard with many researchers. I remember a few years ago he fine-tuned his own…
The Universal Similarity Metric based on Kolmogorov complexity enjoyed great practical success in the past. In this talk youtube.com/watch?v=QEJnF0… I review this success and present new theoretical properties. Also check out the other great AIT&ML talks in the side bar.
Scaling CLIP on English-only data is outdated now… 🌍We built CLIP data curation pipeline for 300+ languages 🇬🇧We train MetaCLIP 2 without compromising English-task performance (it actually improves! 🥳It’s time to drop the language filter! 📝arxiv.org/abs/2507.22062 [1/5] 🧵
What happens if you compare LMs on SWE-bench without the fancy scaffolds? Our new leaderboard “SWE-bench (bash only)” shows you which LMs are the best at getting the job done with just bash. More on why this is important 👇
Okay, we have Pytorch code up now. github.com/Gsunshine/py-m…
Okay, we have Pytorch code up now. github.com/Gsunshine/py-m…
The wait is over—MetaCLIP 2 has landed! 🔥 Big congrats to the MetaCLIP team on this milestone.
Amazing, great to see rLLM getting adopted for Terminal-Bench!
Amazing, great to see rLLM getting adopted for Terminal-Bench!
If you're like me and tired of grappling with huge agent scaffolds, check this out. @KLieret put a ton of thought into this. The simplicity is elegant and powerful. If you wanna get started + have questions, join SWE-bench slack! (link at bottom left of swebench.com)
If you're like me and tired of grappling with huge agent scaffolds, check this out. @KLieret put a ton of thought into this. The simplicity is elegant and powerful. If you wanna get started + have questions, join SWE-bench slack! (link at bottom left of swebench.com)
>>> Qwen3-Coder is here! ✅ We’re releasing Qwen3-Coder-480B-A35B-Instruct, our most powerful open agentic code model to date. This 480B-parameter Mixture-of-Experts model (35B active) natively supports 256K context and scales to 1M context with extrapolation. It achieves…

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