1 citations · 1 across the 9 of their papers we have counts for
10 papers
SNIP++: Fine-Grained Symbolic-Numerical Alignment for Symbolic Regression
Benjamin Léger, Shubham Gupta, Samy Mammeri +3
Mathematical expressions and the numerical behavior they produce are two views of the same underlying function, and connecting them is central to scientific discovery. Symbolic Reg…
PiSAs: Benchmarking Contextual Integrity in Multi-User Agentic Systems
Shubham Gupta, Nazanin Mohammadi Sepahvand, Abhinav Kumar +6
As LLM agents evolve from single-user assistants into shared organizational infrastructure, new privacy risks emerge: inappropriate information may not only be exposed through outp…
Enhancing Audio Captioning with Auxiliary AudioSet Semantics
Shubham Gupta, Adarsh Arigala, Sri Rama Murty Kodukula
Automatic Audio Captioning (AAC) seeks to generate natural language descriptions of complex acoustic scenes, bridging auditory perception and language understanding. However, word-…
Shared Representation Learning for Reference-Guided Targeted Sound Detection
Shubham Gupta, Adarsh Arigala, B. R. Dilleswari +1
Human listeners exhibit the remarkable ability to segregate a desired sound from complex acoustic scenes through selective auditory attention, motivating the study of Targeted Soun…
Joint Multimodal Contrastive Learning for Robust Spoken Term Detection and Keyword Spotting
Ramesh Gundluru, Shubham Gupta, Sri Rama Murty K
Acoustic Word Embeddings (AWEs) improve the efficiency of speech retrieval tasks such as Spoken Term Detection (STD) and Keyword Spotting (KWS). However, existing approaches suffer…
Audio Prototypical Network For Controllable Music Recommendation
Fırat Öncel, Emiliano Penaloza, Haolun Wu +4
Traditional recommendation systems represent user preferences in dense representations obtained through black-box encoder models. While these models often provide strong recommenda…
LiSTEN: Learning Soft Token Embeddings for Neural Audio LLMs
Pooneh Mousavi, Shubham Gupta, Cem Subakan +1
Foundation models based on large language models (LLMs) have shown great success in handling various tasks and modalities. However, adapting these models for general-purpose audio-…
Hierarchical Retrieval at Scale: Bridging Transparency and Efficiency
Shubham Gupta, Zichao Li, Tianyi Chen +4
Information retrieval is a core component of many intelligent systems as it enables conditioning of outputs on new and large-scale datasets. While effective, the standard practice…
Dynamic HumTrans: Humming Transcription Using CNNs and Dynamic Programming
Shubham Gupta, Isaac Neri Gomez-Sarmiento, Faez Amjed Mezdari +2
We propose a novel approach for humming transcription that combines a CNN-based architecture with a dynamic programming-based post-processing algorithm, utilizing the recently intr…
Phoneme Discretized Saliency Maps for Explainable Detection of AI-Generated Voice
Shubham Gupta, Mirco Ravanelli, Pascal Germain +1
In this paper, we propose Phoneme Discretized Saliency Maps (PDSM), a discretization algorithm for saliency maps that takes advantage of phoneme boundaries for explainable detectio…