Gautam Siddharth Kashyap

Orcid: 0000-0003-2140-9617

According to our database1, Gautam Siddharth Kashyap authored at least 39 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
A study of hybrid and evolutionary metaheuristics for single hidden layer feedforward neural network architecture.
J. Exp. Theor. Artif. Intell., April, 2026

Are Large Language Models Economically Viable for Industry Deployment?
CoRR, April, 2026

CLARITY: A Lightweight Multimodal Transformer for Harmful Content Detection.
IEEE Trans. Artif. Intell., February, 2026

Are Aligned Large Language Models Still Misaligned?
CoRR, February, 2026

Can Large Language Models Make Everyone Happy?
CoRR, February, 2026

They Said Memes Were Harmless - We Found the Ones That Hurt: Decoding Jokes, Symbols, and Cultural References.
Proceedings of the ACM Web Conference 2026, 2026

Do Clinical Question Answering Systems Really Need Specialised Medical Fine Tuning?
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

Do Large Language Models Reflect Demographic Pluralism in Safety?
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

Revealing the Truth with ConLLM for Detecting Multi-Modal Deepfakes.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

When the Model Said 'No Comment', We Knew Helpfulness Was Dead, Honesty Was Alive, and Safety Was Terrified.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

AlignCultura: Towards Culturally Aligned Large Language Models?
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
We Think, Therefore We Align LLMs to Helpful, Harmless and Honest Before They Go Wrong.
CoRR, September, 2025

Can maiBERT Speak for Maithili?
CoRR, September, 2025

Can Argus Judge Them All? Comparing VLMs Across Domains.
CoRR, July, 2025

Can We Predict the Unpredictable? Leveraging DisasterNet-LLM for Multimodal Disaster Classification.
CoRR, June, 2025

How Can Multimodal Remote Sensing Datasets Transform Classification via SpatialNet-ViT?
CoRR, June, 2025

ChildGuard: A Specialized Dataset for Combatting Child-Targeted Hate Speech.
CoRR, June, 2025

Optimization of the rectangle area inside a concave polygon using PSO and Tabu Search.
Soft Comput., April, 2025

Innovative Spatial-Temporal Attention Network (STAN) for Skeleton-Based Timed-Up-and-Go Analysis to Stratify Lower Back Pain Severity With Monocular RGB Camera.
IEEE Access, 2025

MAGIC-Enhanced Keyword Prompting for Zero-Shot Audio Captioning with CLIP Models.
Proceedings of the Web Information Systems Engineering - WISE 2025, 2025

Fooling the Forgers: A Multi-Stage Framework for Audio Deepfake Detection.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Can AI See What We Can't? Leveraging Deep Learning and Multi-Temporal Satellite Data to Revolutionize Crop Type Mapping and Yield Prediction.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

LLMs on a Budget? Say HOLA.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Too Helpful, Too Harmless, Too Honest or Just Right?
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Truth, Trust, and Trouble: Medical AI on the Edge.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Can We Predict Your Next Move Without Breaking Your Privacy?
Proceedings of the Social Networks Analysis and Mining - 17th International Conference, 2025

2024
Empowering Network Security through Advanced Analysis of Malware Samples: Leveraging System Metrics and Network Log Data for Informed Decision-Making.
Int. J. Networked Distributed Comput., December, 2024

The Future of Fall Prevention: Integrating OpenPose with Cutting-Edge ML Models.
EAI Endorsed Trans. Pervasive Health Technol., 2024

Automated Ruleset Generation for "HTTPS Everywhere": Challenges, Implementation, and Insights.
Int. J. Inf. Secur. Priv., 2024

From Text to Transformation: A Comprehensive Review of Large Language Models' Versatility.
CoRR, 2024

How Paralingual are Paralinguistic Representations? A Case Study in Speech Emotion Recognition.
CoRR, 2024

Detection of a facemask in real-time using deep learning methods: Prevention of Covid 19.
CoRR, 2024

Heterogeneity over Homogeneity: Investigating Multilingual Speech Pre-Trained Models for Detecting Audio Deepfake.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Are Paralinguistic Representations all that is needed for Speech Emotion Recognition?
Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Innovate Spatial-Temporal Attention Network (STAN) for Accurate 3D Mice Pose Estimation with a Single Monocular RGB Camera.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
From Simulations to Reality: Enhancing Multi-Robot Exploration for Urban Search and Rescue.
CoRR, 2023

MLOps: A Review.
CoRR, 2023

Roulette-Wheel Selection-Based PSO Algorithm for Solving the Vehicle Routing Problem with Time Windows.
CoRR, 2023

2022
Using Machine Learning to Quantify the Multimedia Risk Due to Fuzzing.
Multim. Tools Appl., 2022


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