Unifying Mixture of Experts and Multi-Head Latent Attention for Efficient Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Mehta, Sushant, Dandekar, Raj, Dandekar, Rajat, Panat, Sreedath |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Latent Multi-Head Attention for Small Language Models
by: Mehta, Sushant, et al.
Published: (2025)
by: Mehta, Sushant, et al.
Published: (2025)
Muon: Training and Trade-offs with Latent Attention and MoE
by: Mehta, Sushant, et al.
Published: (2025)
by: Mehta, Sushant, et al.
Published: (2025)
Vision-Language Models display a strong gender bias
by: Konavoor, Aiswarya, et al.
Published: (2025)
by: Konavoor, Aiswarya, et al.
Published: (2025)
Decoders Laugh as Loud as Encoders
by: Borodach, Eli, et al.
Published: (2025)
by: Borodach, Eli, et al.
Published: (2025)
Modeling chaotic Lorenz ODE System using Scientific Machine Learning
by: Kashyap, Sameera S, et al.
Published: (2024)
by: Kashyap, Sameera S, et al.
Published: (2024)
Scientific machine learning in ecological systems: A study on the predator-prey dynamics
by: Devgupta, Ranabir, et al.
Published: (2024)
by: Devgupta, Ranabir, et al.
Published: (2024)
NanoVLMs: How small can we go and still make coherent Vision Language Models?
by: Agarwalla, Mukund, et al.
Published: (2025)
by: Agarwalla, Mukund, et al.
Published: (2025)
Beyond Passive Viewing: A Pilot Study of a Hybrid Learning Platform Augmenting Video Lectures with Conversational AI
by: Abraar, Mohammed, et al.
Published: (2026)
by: Abraar, Mohammed, et al.
Published: (2026)
CBEval: A framework for evaluating and interpreting cognitive biases in LLMs
by: Shaikh, Ammar, et al.
Published: (2024)
by: Shaikh, Ammar, et al.
Published: (2024)
A comparative study of NeuralODE and Universal ODE approaches to solving Chandrasekhar White Dwarf equation
by: Martinez, Raymundo Vazquez, et al.
Published: (2024)
by: Martinez, Raymundo Vazquez, et al.
Published: (2024)
A Scientific Machine Learning Approach for Predicting and Forecasting Battery Degradation in Electric Vehicles
by: Murgai, Sharv, et al.
Published: (2024)
by: Murgai, Sharv, et al.
Published: (2024)
Simulating Misinformation Propagation in Social Networks using Large Language Models
by: Maurya, Raj Gaurav, et al.
Published: (2025)
by: Maurya, Raj Gaurav, et al.
Published: (2025)
Forecasting N-Body Dynamics: A Comparative Study of Neural Ordinary Differential Equations and Universal Differential Equations
by: S, Suriya R, et al.
Published: (2025)
by: S, Suriya R, et al.
Published: (2025)
HULLMI: Human vs LLM identification with explainability
by: Joshi, Prathamesh Dinesh, et al.
Published: (2024)
by: Joshi, Prathamesh Dinesh, et al.
Published: (2024)
EARS-UDE: Evaluating Auditory Response in Sensory Overload with Universal Differential Equations
by: Salunke, Miheer, et al.
Published: (2025)
by: Salunke, Miheer, et al.
Published: (2025)
Adaptive tumor growth forecasting via neural & universal ODEs
by: Subramanian, Kavya, et al.
Published: (2025)
by: Subramanian, Kavya, et al.
Published: (2025)
BULL-ODE: Bullwhip Learning with Neural ODEs and Universal Differential Equations under Stochastic Demand
by: Naik, Nachiket N., et al.
Published: (2025)
by: Naik, Nachiket N., et al.
Published: (2025)
Evaluating Cultural Awareness of LLMs for Yoruba, Malayalam, and English
by: Dawson, Fiifi, et al.
Published: (2024)
by: Dawson, Fiifi, et al.
Published: (2024)
A study of Universal ODE approaches to predicting soil organic carbon
by: V. V, Satyanarayana Raju G., et al.
Published: (2025)
by: V. V, Satyanarayana Raju G., et al.
Published: (2025)
Three methods, one problem: Classical and AI approaches to no-three-in-line
by: Ramanathan, Pranav, et al.
Published: (2025)
by: Ramanathan, Pranav, et al.
Published: (2025)
Regional Tiny Stories: Using Small Models to Compare Language Learning and Tokenizer Performance
by: Patil, Nirvan, et al.
Published: (2025)
by: Patil, Nirvan, et al.
Published: (2025)
Physics-Informed Neural ODEs with Scale-Aware Residuals for Learning Stiff Biophysical Dynamics
by: Kainth, Kamalpreet Singh, et al.
Published: (2025)
by: Kainth, Kamalpreet Singh, et al.
Published: (2025)
Understanding Malware Propagation Dynamics through Scientific Machine Learning
by: Pappu, Karthik, et al.
Published: (2025)
by: Pappu, Karthik, et al.
Published: (2025)
Physical Informed Neural Networks for modeling ocean pollutant
by: Battina, Karishma, et al.
Published: (2025)
by: Battina, Karishma, et al.
Published: (2025)
Model-Grounded Symbolic Artificial Intelligence Systems Learning and Reasoning with Model-Grounded Symbolic Artificial Intelligence Systems
by: Chattopadhyay, Aniruddha, et al.
Published: (2025)
by: Chattopadhyay, Aniruddha, et al.
Published: (2025)
When Are Learning Biases Equivalent? A Unifying Framework for Fairness, Robustness, and Distribution Shift
by: Mehta, Sushant
Published: (2025)
by: Mehta, Sushant
Published: (2025)
Dynamic Adaptive Shared Experts with Grouped Multi-Head Attention Mixture of Experts
by: Li, Cheng, et al.
Published: (2025)
by: Li, Cheng, et al.
Published: (2025)
Beyond Accuracy: A Multi-Dimensional Framework for Evaluating Enterprise Agentic AI Systems
by: Mehta, Sushant
Published: (2025)
by: Mehta, Sushant
Published: (2025)
MATRAG: Multi-Agent Transparent Retrieval-Augmented Generation for Explainable Recommendations
by: Mehta, Sushant
Published: (2026)
by: Mehta, Sushant
Published: (2026)
Multi-Head Mixture-of-Experts
by: Wu, Xun, et al.
Published: (2024)
by: Wu, Xun, et al.
Published: (2024)
Scaling Laws and In-Context Learning: A Unified Theoretical Framework
by: Mehta, Sushant, et al.
Published: (2025)
by: Mehta, Sushant, et al.
Published: (2025)
FASST: Fast LLM-based Simultaneous Speech Translation
by: Ouyang, Siqi, et al.
Published: (2024)
by: Ouyang, Siqi, et al.
Published: (2024)
Beyond Surface-Level Similarity: Hierarchical Contamination Detection for Synthetic Training Data in Foundation Models
by: Mehta, Sushant
Published: (2025)
by: Mehta, Sushant
Published: (2025)
HELM: A Human-Centered Evaluation Framework for LLM-Powered Recommender Systems
by: Mehta, Sushant
Published: (2026)
by: Mehta, Sushant
Published: (2026)
Pre-Attention Expert Prediction and Prefetching for Mixture-of-Experts Large Language Models
by: Zhu, Shien, et al.
Published: (2025)
by: Zhu, Shien, et al.
Published: (2025)
MoH: Multi-Head Attention as Mixture-of-Head Attention
by: Jin, Peng, et al.
Published: (2024)
by: Jin, Peng, et al.
Published: (2024)
Rethinking LLM Inference Bottlenecks: Insights from Latent Attention and Mixture-of-Experts
by: Yun, Sungmin, et al.
Published: (2025)
by: Yun, Sungmin, et al.
Published: (2025)
A Descriptive and Normative Theory of Human Beliefs in RLHF
by: Dandekar, Sylee, et al.
Published: (2025)
by: Dandekar, Sylee, et al.
Published: (2025)
Towards 3D Acceleration for low-power Mixture-of-Experts and Multi-Head Attention Spiking Transformers
by: Xu, Boxun, et al.
Published: (2024)
by: Xu, Boxun, et al.
Published: (2024)
Efficiently Editing Mixture-of-Experts Models with Compressed Experts
by: He, Yifei, et al.
Published: (2025)
by: He, Yifei, et al.
Published: (2025)
Similar Items
-
Latent Multi-Head Attention for Small Language Models
by: Mehta, Sushant, et al.
Published: (2025) -
Muon: Training and Trade-offs with Latent Attention and MoE
by: Mehta, Sushant, et al.
Published: (2025) -
Vision-Language Models display a strong gender bias
by: Konavoor, Aiswarya, et al.
Published: (2025) -
Decoders Laugh as Loud as Encoders
by: Borodach, Eli, et al.
Published: (2025) -
Modeling chaotic Lorenz ODE System using Scientific Machine Learning
by: Kashyap, Sameera S, et al.
Published: (2024)