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Gantavya Bhatt Profile
Gantavya Bhatt

@BhattGantavya

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Ph.D. Student @UW, @nvidia, working in data-efficient ML. Prev: @amazonscience, undergrad @iitdelhi. Passionate Photographer into Alpinism!

Redmond, WA
Joined June 2018
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@BhattGantavya
Gantavya Bhatt
10 months
Happy to announce about our recent work - "Deep Submodular Peripteral Networks" on learning parametric family of submodular functions is accepted into #NeurIPS2024 as spotlight 🥳📷! Joint work with @arnaved and @jbilmes! Looking forward to Vancouver & Cascades! Thread soon🧵!.
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@BhattGantavya
Gantavya Bhatt
3 days
The amount of hallucinations Gemini 2.5 Pro does with ray related difficult questions about preventing out of memory with actors is driving me crazy. 😪.
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@BhattGantavya
Gantavya Bhatt
15 days
RT @RafaelValleArt: 🤯 Audio Flamingo 3 is out already. and that's before Audio Flamingo 2 makes its debut at ICML on Wednesday, July 16 a….
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@BhattGantavya
Gantavya Bhatt
18 days
RT @jifan_zhang: Releasing HumorBench today. Grok 4 is🥇 on this uncontaminated, non-STEM humor reasoning benchmark. 🫡🫡@xai . Here are coupl….
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@BhattGantavya
Gantavya Bhatt
18 days
RT @orevaahia: 🎉 We’re excited to introduce BLAB: Brutally Long Audio Bench, the first benchmark for evaluating long-form reasoning in audi….
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@BhattGantavya
Gantavya Bhatt
18 days
RT @ReubenNarad: Whoa. Grok 4 beats o3 on our never-released benchmark: HumorBench, a non-STEM reasoning benchmark that measures humor co….
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@BhattGantavya
Gantavya Bhatt
21 days
RT @nishadsinghi: Excited that our paper got accepted to COLM 25! 🇨🇦.
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@BhattGantavya
Gantavya Bhatt
1 month
RT @Harman26Singh: 🚨 New @GoogleDeepMind paper. 𝐑𝐨𝐛𝐮𝐬𝐭 𝐑𝐞𝐰𝐚𝐫𝐝 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 𝐯𝐢𝐚 𝐂𝐚𝐮𝐬𝐚𝐥 𝐑𝐮𝐛𝐫𝐢𝐜𝐬 📑.👉 We tackle reward hac….
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@BhattGantavya
Gantavya Bhatt
1 month
RT @percyliang: Wrapped up Stanford CS336 (Language Models from Scratch), taught with an amazing team @tatsu_hashimoto @marcelroed @neilbba….
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@BhattGantavya
Gantavya Bhatt
1 month
RT @marksibrahim: A good language model should say “I don’t know” by reasoning about the limits of its knowledge. Our new work AbstentionBe….
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@BhattGantavya
Gantavya Bhatt
1 month
RT @rohanpaul_ai: It’s a hefty 206-page research paper, and the findings are concerning. "LLM users consistently underperformed at neural,….
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@BhattGantavya
Gantavya Bhatt
2 months
RT @Sahil1V: Using retrieval? --> check out this work by my awesome collaborator on how to increase diversity when retrieving!.
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@BhattGantavya
Gantavya Bhatt
2 months
Say hi to us in our poster session on Saturday #CVPR25.
@arnaved
Arnav Das
2 months
1/8 🚀 How can retrieval augmentation be made both relevant and non-redundant for few-shot adaptation? I'm excited to introduce COBRA. Catch our poster at #CVPR25 (ExHall D, Poster #450) on Sat 14 Jun, 5–7 p.m. CDT:
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@BhattGantavya
Gantavya Bhatt
2 months
RT @tadityasrinivas: The Matryoshka🪆wave strikes again! .🚀 Excited to share our latest work, accepted to KDD 2025: Matryoshka Model Learnin….
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@BhattGantavya
Gantavya Bhatt
2 months
RT @IJCAIconf: Announcing the 2025 IJCAI Computers and Thought Award winner ✨Aditya Grover @adityagrover_, @InceptionAILabs @UCLA. Dr. Grov….
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@BhattGantavya
Gantavya Bhatt
2 months
This is an interesting work with unified embedding space in mind!.
@Sahil1V
Sahil Verma
2 months
🚨 New Paper! 🚨.Guard models slow, language-specific, and modality-limited?. Meet OmniGuard that detects harmful prompts across multiple languages & modalities all using one approach with SOTA performance in all 3 modalities!! while being 120X faster 🚀.
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@BhattGantavya
Gantavya Bhatt
2 months
RT @gavinrbrown1: I'm excited to announce that I will join @WisconsinCS as an assistant professor this fall! Time to get to it.
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@BhattGantavya
Gantavya Bhatt
2 months
RT @WenhuChen: Very interesting analysis!. However, we found that that you can actually achieve the same performance on the same ONE exampl….
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@BhattGantavya
Gantavya Bhatt
2 months
RT @natolambert: The language modeling version
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@BhattGantavya
Gantavya Bhatt
2 months
RT @kuchaev: NeMo RL is now open source! It replaces NeMo-Aligner and is the toolkit we use to post train next generations of our models. G….
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github.com
Scalable toolkit for efficient model reinforcement - NVIDIA-NeMo/RL
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