Manish Gupta
@blitzprecision
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Principal Applied Researcher at Microsoft. Adjunct Faculty at IIIT Hyderabad. Visiting faculty at ISB Hyderabad. Interested in deep learning, NLP, web mining.
Joined October 2010
𝐅𝐢𝐧𝐝𝐢𝐧𝐠 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐦𝐨𝐦𝐞𝐧𝐭 𝐢𝐧 𝐚 𝐯𝐢𝐝𝐞𝐨 𝐮𝐬𝐢𝐧𝐠 𝐚𝐧𝐨𝐭𝐡𝐞𝐫 𝐯𝐢𝐝𝐞𝐨? 𝐒𝐨𝐮𝐧𝐝𝐬 𝐡𝐚𝐫𝐝. 𝐈𝐧𝐝𝐞𝐞𝐝 𝐢𝐭 𝐢𝐬! Paper accepted at ICCV 2025: Aligning Moments in Time using Video Queries. 𝐏𝐫𝐞-𝐩𝐫𝐢𝐧𝐭:
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𝐇𝐨𝐰 𝐭𝐨 𝐏𝐞𝐫𝐬𝐮𝐚𝐝𝐞 𝐋𝐋𝐌𝐬 𝐭𝐨 𝐉𝐚𝐢𝐥𝐛𝐫𝐞𝐚𝐤 𝐓𝐡𝐞𝐦? -- 𝐒𝐞𝐚𝐫𝐜𝐡-𝐨𝟏: 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐒𝐞𝐚𝐫𝐜𝐡-𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐋𝐚𝐫𝐠𝐞 𝐑𝐞𝐚𝐬𝐨𝐧𝐢𝐧𝐠 𝐌𝐨𝐝𝐞𝐥𝐬 --
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𝐂𝐚𝐧 𝐋𝐋𝐌𝐬 𝐥𝐞𝐚𝐫𝐧 𝐬𝐲𝐧𝐭𝐡𝐞𝐭𝐢𝐜 𝐥𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 𝐞𝐪𝐮𝐚𝐥𝐥𝐲 𝐰𝐞𝐥𝐥? -- 𝐀𝐲𝐚 𝐌𝐨𝐝𝐞𝐥-- Happy learning! :-).
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Paper accepted at ICML 2025 on "𝐌𝐎𝐆𝐈𝐂: 𝐌𝐞𝐭𝐚𝐝𝐚𝐭𝐚-𝐈𝐧𝐟𝐮𝐬𝐞𝐝 𝐎𝐫𝐚𝐜𝐥𝐞 𝐆𝐮𝐢𝐝𝐚𝐧𝐜𝐞 𝐅𝐨𝐫 𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐝 𝐄𝐱𝐭𝐫𝐞𝐦𝐞 𝐂𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧." .
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Llama-4 models: Rho-1: Selection Language Modeling: Graph of Thoughts for LLMs: .Visual Autoregressive Modeling for Image Generation: 200+ such videos on
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DeepSeek-V3 -- Phi-4 -- Large Language Models are Human-like Annotators -- PRISM Alignment Dataset for LLMs -- Happy learning! :-).
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𝐕𝐢𝐝𝐞𝐨𝐩𝐨𝐞𝐭: LLM for zero-shot video generation -- 𝐒𝐭𝐞𝐚𝐥𝐢𝐧𝐠 𝐩𝐚𝐫𝐭 𝐨𝐟 𝐚𝐧 𝐋𝐋𝐌 -- 𝐃𝐞𝐞𝐩𝐒𝐞𝐞𝐤-𝐑𝟏 -- Watch 200+ such videos on
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2/3: 2 full paper accepts at ICLR. @subbareddy300 @KhushbuPahwa @MounikaMarreddy @ManeeshKSingh5 @blitzprecision, Bapi Raju. Multi-modal brain encoding models for multi-modal stimuli.
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1/3: 2 full paper accepts at ICLR. @subbareddy300, Akshett Jindal, @tweepy_ishani, @khushbu_pahwa, @srinath_namburi, @manshri, @ManeeshKSingh5, Bapi Raju, @blitzprecision. Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain).
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I created a playlist on 𝐌𝐮𝐥𝐭𝐢-𝐯𝐞𝐜𝐭𝐨𝐫 𝐝𝐞𝐧𝐬𝐞 𝐫𝐞𝐭𝐫𝐢𝐞𝐯𝐚𝐥 methods: 𝐂𝐨𝐥𝐁𝐄𝐑𝐓, 𝐗𝐓𝐑, 𝐂𝐨𝐥𝐁𝐄𝐑𝐓𝐯𝟐, 𝐏𝐋𝐀𝐈𝐃, 𝐌𝐔𝐕𝐄𝐑𝐀. Watch these and more on my YouTube with 200+ such videos #denseRetrieval.
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𝐆𝐞𝐧𝐢𝐞: Generative Interactive Environments: 𝐒𝐭𝐚𝐛𝐥𝐞 𝐃𝐢𝐟𝐟𝐮𝐬𝐢𝐨𝐧 𝟑 (𝐮𝐬𝐢𝐧𝐠 𝐌𝐌-𝐃𝐢𝐓): 𝐌𝐚𝐭𝐅𝐨𝐫𝐦𝐞𝐫: Nested Transformer for Elastic Inference: More at
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Tutorial on AlphaFold detailed architecture:.Part1: Part2: Happy learning! :-).
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Awesome panel discussion with Sandipan Dandapat, Shirish Karande, Srinivas Bangalore, Prof. @devvarma on multiple aspects on usage of LLMs across industry: myths/misconceptions, value add, ways of using LLMs for various sectors, and also on NLP besides LLMs at @iiit_hyderabad.
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Weekend learning (2/2):.𝐍𝐕𝐄𝐦𝐛𝐞𝐝: Best text embedding model as of now -- 𝐌𝐢𝐧𝐢𝐂𝐏𝐌-𝐕: A GPT-4V Level MLLM on Your Phone -- 𝐍𝐞𝐮𝐫𝐚𝐥 𝐂𝐨𝐫𝐩𝐮𝐬 𝐈𝐧𝐝𝐞𝐱𝐞𝐫 --
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Weekend learning:.𝐋𝐥𝐚𝐦𝐚𝟑.𝟐 -- 𝐈𝐦𝐚𝐠𝐞𝐧𝟑 -- 𝐎𝐩𝐞𝐧𝐀𝐈 𝐨𝟏 -- 𝐎𝐏𝐑𝐎: Large Language Models as Optimizers --
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𝐖𝐡𝐢𝐥𝐞 𝐥𝐢𝐬𝐭𝐞𝐧𝐢𝐧𝐠 𝐭𝐨 𝐚 𝐬𝐭𝐨𝐫𝐲, 𝐰𝐡𝐢𝐜𝐡 𝐥𝐢𝐧𝐠𝐮𝐢𝐬𝐭𝐢𝐜 𝐩𝐫𝐨𝐩𝐬 𝐨𝐟 𝐄𝐧𝐠𝐥𝐢𝐬𝐡 𝐡𝐞𝐥𝐩 𝐨𝐮𝐫 𝐛𝐫𝐚𝐢𝐧𝐬 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐭𝐡𝐞 𝐬𝐭𝐨𝐫𝐲?Full paper at NeuRIPS with Subba and Mariya.Joint processing of linguistic props in brains and LMs.
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How can you create models with 𝟏𝟓𝐱 𝐦𝐨𝐫𝐞 𝐭𝐡𝐫𝐨𝐮𝐠𝐡𝐩𝐮𝐭 𝐜𝐨𝐦𝐩𝐚𝐫𝐞𝐝 𝐭𝐨 𝐋𝐥𝐚𝐦𝐚 𝟐 but can still give similar accuracies? How do you generate audio for text caption like "a dog barks while somebody plays the trumpet in a busy street"?
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