activity
20242026
collaborators

8 papers

cs.CL2026

FixItFlow: Automated Troubleshooting Guide Generation from Cloud Incidents

Srihari Unnikrishnan, Jaskaran Singh Walia, Drishti Goel +1

Cloud services experience frequent incidents that require rapid diagnosis and resolution. Troubleshooting guides help engineers respond consistently, but creating them manually is…

q-fin.CP2026

Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation

Jaskaran Singh Walia, Aarush Sinha, Naman Saraswat +2

Financial bond yield forecasting is challenging due to data scarcity, nonlinear macroeconomic dependencies, and evolving market conditions. In this paper, we propose a novel framew…

cs.CV2025

FUSION: Frequency-guided Underwater Spatial Image recOnstructioN

Jaskaran Singh Walia, Shravan Venkatraman, Pavithra LK

Underwater images suffer from severe degradations, including color distortions, reduced visibility, and loss of structural details due to wavelength-dependent attenuation and scatt…

cs.HC2025

TactStyle: Generating Tactile Textures with Generative AI for Digital Fabrication

Faraz Faruqi, Maxine Perroni-Scharf, Jaskaran Singh Walia +4

Recent work in Generative AI enables the stylization of 3D models based on image prompts. However, these methods do not incorporate tactile information, leading to designs that lac…

cs.CL2025

AfroXLMR-Comet: Multilingual Knowledge Distillation with Attention Matching for Low-Resource languages

Joshua Sakthivel Raju, Sanjay S, Jaskaran Singh Walia +2

Language model compression through knowledge distillation has emerged as a promising approach for deploying large language models in resource-constrained environments. However, exi…

cs.CL2025

MAGE: Multi-Head Attention Guided Embeddings for Low Resource Sentiment Classification

Varun Vashisht, Samar Singh, Mihir Konduskar +2

Due to the lack of quality data for low-resource Bantu languages, significant challenges are presented in text classification and other practical implementations. In this paper, we…