Kshitij Ambilduke

नमस्कार !

I am Kshitij Ambilduke, a second-year master’s student at the MVA program, ENS Paris-Saclay. My research interests broadly surround Natural Language Processing (NLP) and I am particularly excited about extensions of NLP towards other modalities like speech and vision. I am currently interning at NAVER LABS Europe under the supervision of Marcely Zanon Boito, Vassilina Nikoulina and Caroline Brun, working on the evaluation of Speech LLMs.

Before my master's, I worked on extending LLMs to speech as a Research Assistant under the guidance of Prof. André F. T. Martins and Prof. Bruno Martins at the SARDINE lab in Lisbon. More recently, I investigated the gains of using complementary multimodal data over unimodal counterparts in a video-game corpus under the supervision of Dr. Djamé Seddah at the ALMAnaCH team, INRIA-Paris.

I completed my bachelor’s in Electronics and Communication from Visvesvaraya National Institute of Technology (VNIT), India. I did my bachelor's thesis with Dr. Anamika Singh where I worked on image captioning. During my pre-final year summer, I worked on interpretable Visual Question Answering under the supervision of Prof. André F. T. Martins and Prof. Bruno Martins.

I was also fortunate to be a part of IvLabs, the AI and Robotics lab of VNIT, where I developed most of my research interests thanks to the oversight of Prof. Shital Chiddarwar

News

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Publications

  1. EMNLP 2025 · Findings

    From TOWER to SPIRE: Adding the Speech Modality to a Translation-Specialist LLM

    Kshitij Ambilduke, Ben Peters, Sonal Sannigrahi, Anil Keshwani, Tsz Kin Lam, Bruno Martins, André F.T. Martins, Marcely Zanon Boito

    Findings of EMNLP 2025

  2. PCEMS 2023

    Attending to Transforms: A Survey on Transformer-based Image Captioning

    Kshitij Ambilduke, Thanmay Jayakumar, Luqman Farooqui, Himanshu Padole, Anamika Singh

    Paradigm Shifts in Communication, Embedded Systems, Machine Learning and Signal Processing (PCEMS 2023)

  3. NeurIPS 2021 · Workshop

    Enhancing Context through Contrast

    Kshitij Ambilduke, Aneesh Shetye, Diksha Bagade, Rishika Bhagwatkar, Khurshed Fitter, Prasad Vagdargi, Shital Chiddarwar

    NeurIPS 2021 Workshop on Pre-registration in Machine Learning

Selected Projects

Jibber-Jabber coming soon :)

Paper Notes 10
  • SpiritLM
  • AudioPaLM
  • SpeechGPT
  • VoxTLM
  • HuBERT
  • Hibiki KyutAI
  • Whisper Open AI
  • On the Robust Approximation of ASR Metrics
  • TowerLLM
  • COMET Metric
Other notes 7
  • Information and Entropy
  • (Gaussian) Mixture Models
  • Principle component analysis
  • Rosenblatt’s Perceptron
  • Word2Vec
  • Variational Auto-encoder
  • From Value Iteration to RLHF