Madhava (@_madkr_) profile picture

MSc VC at Saarland University, BTech CSE at IIITD (2024). Actively looking for PhD opportunities in theoretical DL, dynamical systems, and optimization.

Delhi
Joined July 2020
Photo by Madhava (@_madkr_)Photo by Madhava (@_madkr_)Photo by Madhava (@_madkr_)Photo by Madhava (@_madkr_)Photo by Madhava (@_madkr_)Photo by Madhava (@_madkr_)Photo by Madhava (@_madkr_)Photo by Madhava (@_madkr_)Photo by Madhava (@_madkr_)Photo by Madhava (@_madkr_)
Madhava retweeted
Transformer generalization theory provides simple formatting tricks for boosting small models on state tracking (here: GPT-5.6 Luna). Come meet the authors at COLM: Grand Ballroom Poster Location: #132 on Tuesday, 4:30 PM PDT in Poster Session 2.
In principle, CoT makes Transformers Turing Complete, but empirically LLMs struggle at longer lengths. In our paper, we study Transformer+CoT length generalization and prove that with a finite vocab, models can't solve problems beyond the restricted class TC0. But there’s a fix🧵
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Hi My grandmother is admitted in Holy Family Hospital in Delhi (share.google/dRiocgvTuR75K7M…) and is in need of AB- blood. If you or anyone you know is around and open to donating that would be very very helpful.
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Madhava retweeted
Can Transformer LLMs hide their reasoning from CoT monitors? tl;dr: Transformers cannot hide complex reasoning, but they might cryptographically obfuscate their CoTs, making it extremely difficult to extract hidden goals.
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"This paper was rejected 5 times before being accepted to ICASSP, believe in your dreams!" - Alexandre Stenger, winner of the best student paper award, what a legend! 🔥 #ICASSP #ICASSP2025 #IEEE
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Oh wow, great morning surprise. KAMIM (arxiv.org/abs/2407.13873) got accepted to ICASSP'25!
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What do I do if my ICASSP submission only has 2 out of 3 reviews? Is the third review required?
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Late post but I'm at Interspeech till Thursday! Looking forward to connecting with people working on low-resource and multilingual ASR.
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walked past a man playing Elden Ring on the sidewalk in San Francisco. this is the last shred of art + culture left in this city!!!
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Preprint and code released for KAMIM - Keypoint Aware Masked Image Modelling Key idea: Weighing each patch differently according to keypoint density during MIM boosts linear probing performance. Arxiv: arxiv.org/abs/2407.13873 Code: github.com/madhava20217/KAMI… (1/n)
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KAMIM uses the density of keypoints (obtained from FAST, SIFT or ORB) for patches of an image to weigh each patch differently during the reconstruction phase. This marginally improves fine-tuning performance and significantly boosts linear probing accuracy with a ViT-B. (3/n)
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Best of all, it takes roughly the same time per epoch as SimMIM, based on our testing. We see that KAMIM has similarities to contrastive learning with large attention distances and low NMI values and analyze its representations and behavior of self-attention. (4/4)
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Smh, I messed up one of the tek files and now arxiv won't announce it till Monday :/
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Never knew I could focus like this. Spent about 10 hours finishing a paper I had been procrastinating over for a long time. For real, sometimes you need to take a step back to move (more than) two steps forward :)
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Attending my first conference, @ieee_re, where my first paper (arxiv.org/abs/2404.17842) got accepted into the RE@Next track. Will be in Reykjavik till next Friday and looking forward to connecting with people here 🫡!
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Sigh, time to use Twitter exclusively for academic purposes and training run rants
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Sry but Delhi is better than Blr even though you get firsthand experience of being a patty in an air fryer and can get hit by a car on the footpath. The traffic, waterlogging and the lack of a largely deterministic and widely connected transport system (i.e. metro) is unbearable.
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Should learn to swim to walk properly in Blr
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Hybrid work is the best thing ever - balancing monotonicity and boredom with escape from traffic.
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