Latent Performance Profiling of Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Chakraborty, Tanmoy, Sengupta, Ayan, Bhattacharya, Suparna, Chakrabarti, Partha Pratim, Chakrabarti, Amlan, Chakraborty, Supratik, Das, Partha Pratim, Dey, Lipika, Singh, Richa, Vatsa, Mayank |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Analyzing Sentiment Polarity Reduction in News Presentation through Contextual Perturbation and Large Language Models
by: Kuila, Alapan, et al.
Published: (2024)
by: Kuila, Alapan, et al.
Published: (2024)
LLMs as Evaluators: A Novel Approach to Evaluate Bug Report Summarization
by: Kumar, Abhishek, et al.
Published: (2024)
by: Kumar, Abhishek, et al.
Published: (2024)
Towards an Action-Centric Ontology for Cooking Procedures Using Temporal Graphs
by: Kumbhakern, Aarush, et al.
Published: (2025)
by: Kumbhakern, Aarush, et al.
Published: (2025)
Amalgamation of Physics-Informed Neural Network and LBM for the Prediction of Unsteady Fluid Flows in Fractal-Rough Microchannels
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)
Droplet-LNO: Physics-Informed Laplace Neural Operators for Accurate Prediction of Droplet Spreading Dynamics on Complex Surfaces
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)
Lattice-Boltzmann-Driven Physics-Informed Neural Networks for Droplet Wettability on Rough Surfaces
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)
Extending deep learning U-Net architecture for predicting unsteady fluid flows in textured microchannels
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)
Building FKG.in: a Knowledge Graph for Indian Food
by: Gupta, Saransh Kumar, et al.
Published: (2024)
by: Gupta, Saransh Kumar, et al.
Published: (2024)
Leveraging Design-Aware Context in Large Language Models for Code Comment Generation
by: Mitra, Aritra, et al.
Published: (2025)
by: Mitra, Aritra, et al.
Published: (2025)
Compression Laws for Large Language Models
by: Sengupta, Ayan, et al.
Published: (2025)
by: Sengupta, Ayan, et al.
Published: (2025)
The Art of Scaling Test-Time Compute for Large Language Models
by: Agarwal, Aradhye, et al.
Published: (2025)
by: Agarwal, Aradhye, et al.
Published: (2025)
First Finish Search: Efficient Test-Time Scaling in Large Language Models
by: Agarwal, Aradhye, et al.
Published: (2025)
by: Agarwal, Aradhye, et al.
Published: (2025)
$μ$-FlowNet: A Deep Learning Approach for Mapping Flow Fields in Irregular Microchannels Using an Attention-based U-Net Encoder-Decoder Architecture
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)
ReFrame: Rectification Framework for Image Explaining Architectures
by: Adhikary, Debjyoti Das, et al.
Published: (2025)
by: Adhikary, Debjyoti Das, et al.
Published: (2025)
Enhancing FKG.in: automating Indian food composition analysis
by: Gupta, Saransh Kumar, et al.
Published: (2024)
by: Gupta, Saransh Kumar, et al.
Published: (2024)
On the (In)Significance of Feature Selection in High-Dimensional Datasets
by: Neekhra, Bhavesh, et al.
Published: (2025)
by: Neekhra, Bhavesh, et al.
Published: (2025)
Perspective Chapter: MOOCs in India: Evolution, Innovation, Impact, and Roadmap
by: Das, Partha Pratim
Published: (2025)
by: Das, Partha Pratim
Published: (2025)
A Comprehensive Review of Sign Language Recognition: Different Types, Modalities, and Datasets
by: Madhiarasan, M., et al.
Published: (2022)
by: Madhiarasan, M., et al.
Published: (2022)
Extending FKG.in: Towards a Food Claim Traceability Network
by: Gupta, Saransh Kumar, et al.
Published: (2025)
by: Gupta, Saransh Kumar, et al.
Published: (2025)
Persona-aware Generative Model for Code-mixed Language
by: Sengupta, Ayan, et al.
Published: (2023)
by: Sengupta, Ayan, et al.
Published: (2023)
You Only Prune Once: Designing Calibration-Free Model Compression With Policy Learning
by: Sengupta, Ayan, et al.
Published: (2025)
by: Sengupta, Ayan, et al.
Published: (2025)
Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language Models
by: Agarwal, Aradhye, et al.
Published: (2024)
by: Agarwal, Aradhye, et al.
Published: (2024)
Understanding the Physics of Key-Value Cache Compression for LLMs through Attention Dynamics
by: Ananthanarayanan, Samhruth, et al.
Published: (2026)
by: Ananthanarayanan, Samhruth, et al.
Published: (2026)
Position: Enough of Scaling LLMs! Lets Focus on Downscaling
by: Goel, Yash, et al.
Published: (2025)
by: Goel, Yash, et al.
Published: (2025)
Value-Guided KV Compression for LLMs via Approximated CUR Decomposition
by: Sengupta, Ayan, et al.
Published: (2025)
by: Sengupta, Ayan, et al.
Published: (2025)
How to think step-by-step: A mechanistic understanding of chain-of-thought reasoning
by: Dutta, Subhabrata, et al.
Published: (2024)
by: Dutta, Subhabrata, et al.
Published: (2024)
Seismically Induced Soft‐Sediment Deformation Structures and Massflow Deposits in a Paleoproterozoic Shelf Setting (Chakrata Formation, Lesser Himalaya, India)
by: Partha Pratim Chakraborty, et al.
Published: (2025)
by: Partha Pratim Chakraborty, et al.
Published: (2025)
How to Upscale Neural Networks with Scaling Law? A Survey and Practical Guidelines
by: Sengupta, Ayan, et al.
Published: (2025)
by: Sengupta, Ayan, et al.
Published: (2025)
Small Language Models Fine-tuned to Coordinate Larger Language Models improve Complex Reasoning
by: Juneja, Gurusha, et al.
Published: (2023)
by: Juneja, Gurusha, et al.
Published: (2023)
Charmonium production in low energy nuclear collisions at SPS and FAIR: achievements $\&$ prospects
by: Bhaduri, Partha Pratim
Published: (2026)
by: Bhaduri, Partha Pratim
Published: (2026)
Open‐source large language models in medical education: Balancing promise and challenges
by: Partha Pratim Ray
Published: (2024)
by: Partha Pratim Ray
Published: (2024)
Letter to the Editor: Comparing letters written by humans and ChatGPT: A preliminary study
by: Partha Pratim Ray
Published: (2025)
by: Partha Pratim Ray
Published: (2025)
Does Linguistic Relativity Hypothesis Apply on ChatGPT Responses? Yes, It Does
by: Partha Pratim Ray
Published: (2025)
by: Partha Pratim Ray
Published: (2025)
A Review of TRiSM Frameworks in Artificial Intelligence Systems: Fundamentals, Taxonomy, Use Cases, Key Challenges and Future Directions
by: Partha Pratim Ray
Published: (2026)
by: Partha Pratim Ray
Published: (2026)
On the Generalization vs Fidelity Paradox in Knowledge Distillation
by: Ramesh, Suhas Kamasetty, et al.
Published: (2025)
by: Ramesh, Suhas Kamasetty, et al.
Published: (2025)
From Images to Words: Efficient Cross-Modal Knowledge Distillation to Language Models from Black-box Teachers
by: Sengupta, Ayan, et al.
Published: (2026)
by: Sengupta, Ayan, et al.
Published: (2026)
Evaluating Negative Sampling Approaches for Neural Topic Models
by: Adhya, Suman, et al.
Published: (2025)
by: Adhya, Suman, et al.
Published: (2025)
MENTIS: What Belief Changes Under Alignment? Measuring Multi-Scale Latent Torsion in Language Models
by: Saha, Partha Pratim, et al.
Published: (2026)
by: Saha, Partha Pratim, et al.
Published: (2026)
Handwritten Text Recognition for Low Resource Languages
by: Dey, Sayantan, et al.
Published: (2025)
by: Dey, Sayantan, et al.
Published: (2025)
From No to Know: Taxonomy, Challenges, and Opportunities for Negation Understanding in Multimodal Foundation Models
by: Vatsa, Mayank, et al.
Published: (2025)
by: Vatsa, Mayank, et al.
Published: (2025)
Similar Items
-
Analyzing Sentiment Polarity Reduction in News Presentation through Contextual Perturbation and Large Language Models
by: Kuila, Alapan, et al.
Published: (2024) -
LLMs as Evaluators: A Novel Approach to Evaluate Bug Report Summarization
by: Kumar, Abhishek, et al.
Published: (2024) -
Towards an Action-Centric Ontology for Cooking Procedures Using Temporal Graphs
by: Kumbhakern, Aarush, et al.
Published: (2025) -
Amalgamation of Physics-Informed Neural Network and LBM for the Prediction of Unsteady Fluid Flows in Fractal-Rough Microchannels
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026) -
Droplet-LNO: Physics-Informed Laplace Neural Operators for Accurate Prediction of Droplet Spreading Dynamics on Complex Surfaces
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)