A Deep Neural Network based approach for vocal extraction from songs. - Vasu Sharma (ICSIPA, 2015)

Image summarization using topic modelling. - Vasu Sharma; Akshay Kumar; Nishant Agrawal; Puneet Singh; Rajat Kulshreshtha (ICSIPA, 2015)

Analyzing Newspaper Crime Reports for Identification of Safe Transit Paths. - Vasu Sharma; Rajat Kulshreshtha; Puneet Singh; Nishant Agrawal; Akshay Kumar (HLT-NAACL, 2015)

Automatic tagging and retrieval of E-Commerce products based on visual features. - Vasu Sharma; Harish Karnick (SRW@HLT-NAACL, 2016)

Segmentation Guided Attention Networks for Visual Question Answering. - Vasu Sharma; Ankita Bishnu; Labhesh Patel (ACL (Student Research Workshop), 2017)

BioAMA: Towards an End to End BioMedical Question Answering System. - Vasu Sharma; Nitish Kulkarni; Srividya Pranavi; Gabriel Bayomi; Eric Nyberg; Teruko Mitamura (BioNLP, 2018)

Cyclegen: Cyclic consistency based product review generator from attributes. - Vasu Sharma; Harsh Sharma; Ankita Bishnu; Labhesh Patel (INLG, 2018)

Mind Your Language: Learning Visually Grounded Dialog in a Multi-Agent Setting. - Akshat Agarwal; Swaminathan Gurumurthy; Vasu Sharma; Katia P. Sycara (CoRR, 2018)

Community Regularization of Visually-Grounded Dialog. - Akshat Agarwal; Swaminathan Gurumurthy; Vasu Sharma; Mike Lewis; Katia P. Sycara (AAMAS, 2019)

Multimodal Behavioral Markers Exploring Suicidal Intent in Social Media Videos. - Ankit Parag Shah; Vasu Sharma; Vaibhav Vaibhav; Mahmoud Alismail; Louis-Philippe Morency (ICMI, 2019)

Induced Attention Invariance: Defending VQA Models against Adversarial Attacks. - Vasu Sharma; Ankita Kalra; Louis-Philippe Morency (ViGIL@NeurIPS, 2019)

Tweet Based Reach Aware Temporal Attention Network for NFT Valuation. - Ramit Sawhney; Megh Thakkar; Ritesh Soun; Atula Tejaswi Neerkaje; Vasu Sharma; Dipanwita Guhathakurta; Sudheer Chava (EMNLP (Findings), 2022)

PISA: PoIncaré Saliency-Aware Interpolative Augmentation. - Ramit Sawhney; Megh Thakkar; Vishwa Shah; Puneet Mathur; Vasu Sharma; Dinesh Manocha (INTERSPEECH, 2022)

CH-MARL: A Multimodal Benchmark for Cooperative, Heterogeneous Multi-Agent Reinforcement Learning. - Vasu Sharma; Prasoon Goyal; Kaixiang Lin; Govind Thattai; Qiaozi Gao; Gaurav S. Sukhatme (CoRR, 2022)

Flap: Fast Language-Audio Pre-Training. - Ching-Feng Yeh; Po-Yao Huang 001; Vasu Sharma; Shang-Wen Li 001; Gargi Ghosh (ASRU, 2023)

Shimmy: Accelerating Inter-Container Communication for the IoT Edge. - Manan Khasgiwale; Vasu Sharma; Shivakant Mishra; Biljith Thadichi; Jaiber John; Rahul Khanna (GLOBECOM, 2023)

MAViL: Masked Audio-Video Learners. - Po-Yao Huang 001; Vasu Sharma; Hu Xu 001; Chaitanya Ryali; Haoqi Fan 001; Yanghao Li; Shang-Wen Li 001; Gargi Ghosh; Jitendra Malik; Christoph Feichtenhofer (NeurIPS, 2023)

Alexa Arena: A User-Centric Interactive Platform for Embodied AI. - Qiaozi Gao; Govind Thattai; Suhaila Shakiah; Xiaofeng Gao 002; Shreyas Pansare; Vasu Sharma; Gaurav S. Sukhatme; Hangjie Shi; Bofei Yang; Desheng Zhang; Lucy Hu; Karthika Arumugam; et al. (NeurIPS, 2023)

Alexa Arena: A User-Centric Interactive Platform for Embodied AI. - Qiaozi Gao; Govind Thattai; Xiaofeng Gao 002; Suhaila Shakiah; Shreyas Pansare; Vasu Sharma; Gaurav S. Sukhatme; Hangjie Shi; Bofei Yang; Desheng Zheng; Lucy Hu; Karthika Arumugam; et al. (CoRR, 2023)

Alexa, play with robot: Introducing the First Alexa Prize SimBot Challenge on Embodied AI. - Hangjie Shi; Leslie Ball; Govind Thattai; Desheng Zhang; Lucy Hu; Qiaozi Gao; Suhaila Shakiah; Xiaofeng Gao 002; Aishwarya Padmakumar; Bofei Yang; Cadence Chung; Dinakar Guthy; et al. (CoRR, 2023)

Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning. - Lili Yu; Bowen Shi; Ramakanth Pasunuru; Benjamin Muller; Olga Golovneva; Tianlu Wang; Arun Babu; Binh Tang; Brian Karrer; Shelly Sheynin; Candace Ross; Adam Polyak; et al. (CoRR, 2023)

E-ViLM: Efficient Video-Language Model via Masked Video Modeling with Semantic Vector-Quantized Tokenizer. - Jacob Zhiyuan Fang; Skyler Zheng; Vasu Sharma; Robinson Piramuthu (CoRR, 2023)

A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions. - Jack Urbanek; Florian Bordes; Pietro Astolfi; Mary Williamson; Vasu Sharma; Adriana Romero-Soriano (CVPR, 2024)

Demystifying CLIP Data. - Hu Xu 001; Saining Xie; Xiaoqing Ellen Tan; Po-Yao Huang 001; Russell Howes; Vasu Sharma; Shang-Wen Li 001; Gargi Ghosh; Luke Zettlemoyer; Christoph Feichtenhofer (ICLR, 2024)

ε-ViLM : Efficient Video-Language Model via Masked Video Modeling with Semantic Vector-Quantized Tokenizer. - Jacob Zhiyuan Fang; Skyler Zheng; Vasu Sharma; Robinson Piramuthu (WACV (Workshops), 2024)

Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM. - Sainbayar Sukhbaatar; Olga Golovneva; Vasu Sharma; Hu Xu 001; Xi Victoria Lin; Baptiste Rozière; Jacob Kahn; Daniel Li 006; Wen-tau Yih; Jason Weston; Xian Li 003 (CoRR, 2024)

Text Quality-Based Pruning for Efficient Training of Language Models. - Vasu Sharma; Karthik Padthe; Newsha Ardalani; Kushal Tirumala; Russell Howes; Hu Xu 001; Po-Yao Huang 001; Shang-Wen Li 001; Armen Aghajanyan; Gargi Ghosh; Luke Zettlemoyer (CoRR, 2024)

An Introduction to Vision-Language Modeling. - Florian Bordes; Richard Yuanzhe Pang; Anurag Ajay; Alexander C. Li; Adrien Bardes; Suzanne Petryk; Oscar Mañas; Zhiqiu Lin; Anas Mahmoud 002; Bargav Jayaraman; Mark Ibrahim; Melissa Hall; et al. (CoRR, 2024)

The Brittleness of AI-Generated Image Watermarking Techniques: Examining Their Robustness Against Visual Paraphrasing Attacks. - Niyar R. Barman; Krish Sharma; Ashhar Aziz; Shashwat Bajpai; Shwetangshu Biswas; Vasu Sharma; Vinija Jain; Aman Chadha; Amit P. Sheth; Amitava Das 001 (CoRR, 2024)

DINOv2: Learning Robust Visual Features without Supervision. - Maxime Oquab; Timothée Darcet; Théo Moutakanni; Huy V. Vo; Marc Szafraniec; Vasil Khalidov; Pierre Fernandez; Daniel Haziza; Francisco Massa; Alaaeldin El-Nouby; Mido Assran; Nicolas Ballas; et al. (Trans. Mach. Learn. Res., 2024)

YinYang-Align: A new Benchmark for Competing Objectives and Introducing Multi-Objective Preference based Text-to-Image Alignment. - Amitava Das 001; Yaswanth Narsupalli; Gurpreet Singh; Vinija Jain; Vasu Sharma; Suranjana Trivedy; Aman Chadha; Amit P. Sheth (ACL (Findings), 2025)

DPO Kernels: A Semantically-Aware, Kernel-Enhanced, and Divergence-Rich Paradigm for Direct Preference Optimization. - Amitava Das 001; Suranjana Trivedy; Danush Khanna; Yaswanth Narsupalli; Basab Ghosh; Rajarshi Roy 007; Gurpreet Singh; Vinija Jain; Vasu Sharma; Aishwarya Naresh Reganti; Aman Chadha (ACL (Findings), 2025)

Rosetta-PL: Propositional Logic as a Benchmark for Large Language Model Reasoning. - Shaun Lee Baek; Shaun Esua-Mensah; Cyrus Tsui; Sejan Vigneswaralingam; Abdullah Alali; Michael Lu; Vasu Sharma; Kevin Zhu (NAACL (Student Research Workshop), 2025)

YINYANG-ALIGN: Benchmarking Contradictory Objectives and Proposing Multi-Objective Optimization based DPO for Text-to-Image Alignment. - Amitava Das 001; Yaswanth Narsupalli; Gurpreet Singh; Vinija Jain; Vasu Sharma; Suranjana Trivedy; Aman Chadha; Amit P. Sheth (CoRR, 2025)

Safe Reinforcement Learning-based Control for Hydrogen Diesel Dual-Fuel Engines. - Vasu Sharma; Alexander Winkler; Armin Norouzi; Jakob Andert; David C. Gordon; Hongsheng Guo (CoRR, 2025)

Pause-Tuning for Long-Context Comprehension: A Lightweight Approach to LLM Attention Recalibration. - James Begin; Namit Agrawal; Eshan Singh; Yicheng Fu; Sean O'Brien; Vasu Sharma; Kevin Zhu (CoRR, 2025)

TRUTH DECAY: Quantifying Multi-Turn Sycophancy in Language Models. - Joshua Liu; Aarav Jain; Soham Takuri; Srihan Vege; Aslihan Akalin; Kevin Zhu; Sean O'Brien; Vasu Sharma (CoRR, 2025)

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine. - Alexander Winkler; Pranav Shah; Katrin Baumgärtner; Vasu Sharma; David C. Gordon; Jakob Andert (CoRR, 2025)

Rosetta-PL: Propositional Logic as a Benchmark for Large Language Model Reasoning. - Shaun Lee Baek; Shaun Esua-Mensah; Cyrus Tsui; Sejan Vigneswaralingam; Abdullah Alali; Michael Lu; Vasu Sharma; Sean O'Brien; Kevin Zhu (CoRR, 2025)

Deconstructing Bias: A Multifaceted Framework for Diagnosing Cultural and Compositional Inequities in Text-to-Image Generative Models. - Muna Numan Said; Aarib Zaidi; Rabia Usman; Sonia Okon; Praneeth Medepalli; Kevin Zhu; Vasu Sharma; Sean O'Brien (CoRR, 2025)

Advancing Uto-Aztecan Language Technologies: A Case Study on the Endangered Comanche Language. - Jesus Alvarez C; Daua D. Karajeanes; Ashley Celeste Prado; John Ruttan; Ivory Yang; Sean O'Brien; Vasu Sharma; Kevin Zhu (CoRR, 2025)

Distill CLIP (DCLIP): Enhancing Image-Text Retrieval via Cross-Modal Transformer Distillation. - Daniel Csizmadia; Andrei Codreanu; Victor Sim; Vighnesh Prabhu; Michael Lu; Kevin Zhu; Sean O'Brien; Vasu Sharma (CoRR, 2025)

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs. - Stanley Yu; Vaidehi Bulusu; Oscar Yasunaga; Clayton Lau; Cole Blondin; Sean O'Brien; Kevin Zhu; Vasu Sharma (CoRR, 2025)

Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed Techniques. - Lang Xiong; Raina Gao; Alyssa Jeong; Yicheng Fu; Sean O'Brien; Vasu Sharma; Kevin Zhu (CoRR, 2025)

NovelHopQA: Diagnosing Multi-Hop Reasoning Failures in Long Narrative Contexts. - Abhay Gupta; Michael Lu; Kevin Zhu; Sean O'Brien; Vasu Sharma (CoRR, 2025)

Pruning for Performance: Efficient Idiom and Metaphor Classification in Low-Resource Konkani Using mBERT. - Timothy Do; Pranav Saran; Harshita Poojary; Pranav Prabhu; Sean O'Brien; Vasu Sharma; Kevin Zhu (CoRR, 2025)

AdversariaL attacK sAfety aLIgnment(ALKALI): Safeguarding LLMs through GRACE: Geometric Representation-Aware Contrastive Enhancement- Introducing Adversarial Vulnerability Quality Index (AVQI). - Danush Khanna; Krishna Kumar; Basab Ghosh; Vinija Jain; Vasu Sharma; Aman Chadha; Amitava Das 001 (CoRR, 2025)

Alignment Quality Index (AQI) : Beyond Refusals: AQI as an Intrinsic Alignment Diagnostic via Latent Geometry, Cluster Divergence, and Layer wise Pooled Representations. - Abhilekh Borah; Chhavi Sharma; Danush Khanna; Utkarsh Bhatt; Gurpreet Singh; Hasnat Md Abdullah; Raghav Kaushik Ravi; Vinija Jain; Jyoti Patel; Shubham Singh; Vasu Sharma; Arpita Vats; et al. (CoRR, 2025)

Seamless Interaction: Dyadic Audiovisual Motion Modeling and Large-Scale Dataset. - Vasu Agrawal; Akinniyi Akinyemi; Kathryn Alvero; Morteza Behrooz; Julia Buffalini; Fabio Maria Carlucci; Joy Chen; Junming Chen; Zhang Chen; Shiyang Cheng; Praveen Chowdary; Joe Chuang; et al. (CoRR, 2025)

Peccavi: Visual Paraphrase Attack Safe and Distortion Free Image Watermarking Technique for AI-Generated Images. - Shreyas Dixit; Ashhar Aziz; Shashwat Bajpai; Vasu Sharma; Aman Chadha; Vinija Jain; Amitava Das 001 (CoRR, 2025)

Understanding Trade offs When Conditioning Synthetic Data. - Brandon Trabucco; Qasim Wani; Benjamin Pikus; Vasu Sharma (CoRR, 2025)

COREVQA: A Crowd Observation and Reasoning Entailment Visual Question Answering Benchmark. - Ishant Chintapatla; Kazuma Choji; Naaisha Agarwal; Andrew Lin; Hannah You; Charles Duong; Kevin Zhu; Sean O'Brien; Vasu Sharma (CoRR, 2025)

Causal Language Control in Multilingual Transformers via Sparse Feature Steering. - Cheng-Ting Chou; George Liu; Jessica Sun; Cole Blondin; Kevin Zhu; Vasu Sharma; Sean O'Brien (CoRR, 2025)

Rewrite-to-Rank: Optimizing Ad Visibility via Retrieval-Aware Text Rewriting. - Chloe Ho; Ishneet Sukhvinder Singh; Diya Sharma; Tanvi Reddy Anumandla; Michael Lu; Vasu Sharma; Kevin Zhu (CoRR, 2025)

The Geometry of Harmfulness in LLMs through Subconcept Probing. - McNair Shah; Saleena Angeline; Adhitya Rajendra Kumar; Naitik Chheda; Kevin Zhu; Vasu Sharma; Sean O'Brien; Will Cai (CoRR, 2025)

Universal Neurons in GPT-2: Emergence, Persistence, and Functional Impact. - Advey Nandan; Cheng-Ting Chou; Amrit Kurakula; Cole Blondin; Kevin Zhu; Vasu Sharma; Sean O'Brien (CoRR, 2025)