:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kulahara, Manaswi, Kashyap, Gautam Siddharth, Joshi, Nipun, Soni, Arpita
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2506.23462
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Can We Predict Your Next Move Without Breaking Your Privacy?
by: Soni, Arpita, et al.
Published: (2025)

How Can Multimodal Remote Sensing Datasets Transform Classification via SpatialNet-ViT?
by: Kashyap, Gautam Siddharth, et al.
Published: (2025)

A Lightweight LLM Framework for Disaster Humanitarian Information Classification
by: Jinzhen, Han, et al.
Published: (2026)

Uncertainty-aware Predict-Then-Optimize Framework for Equitable Post-Disaster Power Restoration
by: Jiang, Lin, et al.
Published: (2025)

SplitZip: Ultra Fast Lossless KV Compression for Disaggregated LLM Serving
by: Guo, Yipin, et al.
Published: (2026)

Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least
by: Joshi, Siddharth, et al.
Published: (2023)

Predicting LLM Correctness in Prosthodontics Using Metadata and Hallucination Signals
by: Susanto, Lucky, et al.
Published: (2025)

LLMs on a Budget? Say HOLA
by: Siddiqui, Zohaib Hasan, et al.
Published: (2025)

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques
by: Raj, Aman, et al.
Published: (2025)

Robust Building Damage Detection in Cross-Disaster Settings Using Domain Adaptation
by: Mouradi, Asmae, et al.
Published: (2026)

The Erosion of LLM Signatures: Can We Still Distinguish Human and LLM-Generated Scientific Ideas After Iterative Paraphrasing?
by: Shahriar, Sadat, et al.
Published: (2025)

SoilNet: A Multimodal Multitask Model for Hierarchical Classification of Soil Horizons
by: Singh, Vipin, et al.
Published: (2025)

Fast Forward: Accelerating LLM Prefill with Predictive FFN Sparsity
by: Gautam, Aayush, et al.
Published: (2026)

Improving Early Prediction of Type 2 Diabetes Mellitus with ECG-DiaNet: A Multimodal Neural Network Leveraging Electrocardiogram and Clinical Risk Factors
by: Mohsen, Farida, et al.
Published: (2025)

Robust Disaster Assessment from Aerial Imagery Using Text-to-Image Synthetic Data
by: Kalluri, Tarun, et al.
Published: (2024)

A pipeline for enabling path-specific causal fairness in observational health data
by: Kashyap, Aparajita, et al.
Published: (2026)

Disaster Management in the Era of Agentic AI Systems: A Vision for Collective Human-Machine Intelligence for Augmented Resilience
by: Li, Bo, et al.
Published: (2025)

Kascade: A Practical Sparse Attention Method for Long-Context LLM Inference
by: Deshmukh, Dhruv, et al.
Published: (2025)

ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning
by: Sethi, Sahil, et al.
Published: (2025)

Can We Rely on LLM Agents to Draft Long-Horizon Plans? Let's Take TravelPlanner as an Example
by: Chen, Yanan, et al.
Published: (2024)

FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare Prediction
by: Xu, Muhao, et al.
Published: (2024)

Numerical Instability and Chaos: Quantifying the Unpredictability of Large Language Models
by: Islam, Chashi Mahiul, et al.
Published: (2026)

RADAR: Mechanistic Pathways for Detecting Data Contamination in LLM Evaluation
by: Kattamuri, Ashish, et al.
Published: (2025)

Can We Understand Plasticity Through Neural Collapse?
by: Bonifazi, Guglielmo, et al.
Published: (2024)

Deontic Knowledge Graphs for Privacy Compliance in Multimodal Disaster Data Sharing
by: Echenim, Kelvin Uzoma, et al.
Published: (2026)

When Can We Reuse a Calibration Set for Multiple Conformal Predictions?
by: Balinsky, A. A., et al.
Published: (2025)

Can We Predict Before Executing Machine Learning Agents?
by: Zheng, Jingsheng, et al.
Published: (2026)

RAMP: Reinforcement Adaptive Mixed Precision Quantization for Efficient On Device LLM Inference
by: Gautam, Arpit Singh, et al.
Published: (2026)

PolygoNet: Leveraging Simplified Polygonal Representation for Effective Image Classification
by: Khazem, Salim, et al.
Published: (2025)

Evaluating Generalization and Representation Stability in Small LMs via Prompting, Fine-Tuning and Out-of-Distribution Prompts
by: Raja, Rahul, et al.
Published: (2025)

Niyama : Breaking the Silos of LLM Inference Serving
by: Goel, Kanishk, et al.
Published: (2025)

UAV-Enhanced Combination to Application: Comprehensive Analysis and Benchmarking of a Human Detection Dataset for Disaster Scenarios
by: Nihal, Ragib Amin, et al.
Published: (2024)

Can We Edit Multimodal Large Language Models?
by: Cheng, Siyuan, et al.
Published: (2023)

Counting Hours, Counting Losses: The Toll of Unpredictable Work Schedules on Financial Security
by: Nokhiz, Pegah, et al.
Published: (2025)

Dynamic Classification: Leveraging Self-Supervised Classification to Enhance Prediction Performance
by: Zhong, Ziyuan, et al.
Published: (2025)

Reliability Auditing for Downstream LLM tasks in Psychiatry: LLM-Generated Hospitalization Risk Scores
by: Panda, Shevya, et al.
Published: (2026)

Learning Equivariant Functions via Quadratic Forms
by: Karjol, Pavan, et al.
Published: (2025)

Interpretable Discovery of One-parameter Subgroups: A Modular Framework for Elliptical, Hyperbolic, and Parabolic Symmetries
by: Karjol, Pavan, et al.
Published: (2025)

Vidur: A Large-Scale Simulation Framework For LLM Inference
by: Agrawal, Amey, et al.
Published: (2024)

Can We Predict Alignment Before Models Finish Thinking? Towards Monitoring Misaligned Reasoning Models
by: Chan, Yik Siu, et al.
Published: (2025)