Imagen de Portada

Latency Adjustable Transformer Encoder for Language Understanding

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kachuee, Sajjad, Sharifkhani, Mohammad
Formato:	Preprint
Publicado:	2022
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Efficient Large Language Models with Zero-Shot Adjustable Acceleration
por: Kachuee, Sajjad, et al.
Publicado: (2025)

Geometry-Preserving Aggregation for Mixture-of-Experts Embedding Models
por: Kachuee, Sajjad, et al.
Publicado: (2026)

Improving Tool Retrieval by Leveraging Large Language Models for Query Generation
por: Kachuee, Mohammad, et al.
Publicado: (2024)

Fine-tuning Transformer-based Encoder for Turkish Language Understanding Tasks
por: Yildirim, Savas
Publicado: (2024)

Shallow Cross-Encoders for Low-Latency Retrieval
por: Petrov, Aleksandr V., et al.
Publicado: (2024)

Understanding Syntactic Generalization in Structure-inducing Language Models
por: Arps, David, et al.
Publicado: (2025)

Long-Context Encoder Models for Polish Language Understanding
por: Dadas, Sławomir, et al.
Publicado: (2026)

LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems
por: Mok, Jisoo, et al.
Publicado: (2024)

Multilingual Nonce Dependency Treebanks: Understanding how Language Models represent and process syntactic structure
por: Arps, David, et al.
Publicado: (2023)

Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMs
por: Sel, Bilgehan, et al.
Publicado: (2024)

Understanding AI Evaluation Patterns: How Different GPT Models Assess Vision-Language Descriptions
por: Abdoli, Sajjad, et al.
Publicado: (2025)

E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning
por: Liao, Zihan, et al.
Publicado: (2024)

Moonshine v2: Ergodic Streaming Encoder ASR for Latency-Critical Speech Applications
por: Kudlur, Manjunath, et al.
Publicado: (2026)

Encoder-Decoder or Decoder-Only? Revisiting Encoder-Decoder Large Language Model
por: Zhang, Biao, et al.
Publicado: (2025)

Heterogeneous Encoders Scaling In The Transformer For Neural Machine Translation
por: Hu, Jia Cheng, et al.
Publicado: (2023)

DecoderLens: Layerwise Interpretation of Encoder-Decoder Transformers
por: Langedijk, Anna, et al.
Publicado: (2023)

Efficient Encoder-Decoder Transformer Decoding for Decomposable Tasks
por: Lu, Bo-Ru, et al.
Publicado: (2024)

Frozen Transformers in Language Models Are Effective Visual Encoder Layers
por: Pang, Ziqi, et al.
Publicado: (2023)

Interference Matrix: Quantifying Cross-Lingual Interference in Transformer Encoders
por: Alastruey, Belen, et al.
Publicado: (2025)

DisCoCLIP: A Distributional Compositional Tensor Network Encoder for Vision-Language Understanding
por: Lo, Kin Ian, et al.
Publicado: (2025)

Spiralformer: Low Latency Encoder for Streaming Speech Recognition with Circular Layer Skipping and Early Exiting
por: Tsunoo, Emiru, et al.
Publicado: (2025)

Attention or Convolution: Transformer Encoders in Audio Language Models for Inference Efficiency
por: Jeon, Sungho, et al.
Publicado: (2023)

TURNA: A Turkish Encoder-Decoder Language Model for Enhanced Understanding and Generation
por: Uludoğan, Gökçe, et al.
Publicado: (2024)

Cross-Prompt Encoder for Low-Performing Languages
por: Mikaberidze, Beso, et al.
Publicado: (2025)

On Multilingual Encoder Language Model Compression for Low-Resource Languages
por: Gurgurov, Daniil, et al.
Publicado: (2025)

FiRST: Finetuning Router-Selective Transformers for Input-Adaptive Latency Reduction
por: Jain, Akriti, et al.
Publicado: (2024)

An Empirical Evaluation of Encoder Architectures for Fast Real-Time Long Conversational Understanding
por: Senthilnathan, Annamalai, et al.
Publicado: (2025)

Understanding Public Perception of Crime in Bangladesh: A Transformer-Based Approach with Explainability
por: Hassan, Fatema Binte, et al.
Publicado: (2025)

LabelFusion: Fusing Large Language Models with Transformer Encoders for Robust Financial News Classification
por: Schlee, Michael, et al.
Publicado: (2025)

Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models
por: Prabhavalkar, Rohit, et al.
Publicado: (2024)

MaBERT:A Padding Safe Interleaved Transformer Mamba Hybrid Encoder for Efficient Extended Context Masked Language Modeling
por: Kim, Jinwoong, et al.
Publicado: (2026)

A Combined Encoder and Transformer Approach for Coherent and High-Quality Text Generation
por: Chen, Jiajing, et al.
Publicado: (2024)

On Affine Homotopy between Language Encoders
por: Chan, Robin SM, et al.
Publicado: (2024)

Understanding and Enhancing Mamba-Transformer Hybrids for Memory Recall and Language Modeling
por: Lee, Hyunji, et al.
Publicado: (2025)

Utilizing Multilingual Encoders to Improve Large Language Models for Low-Resource Languages
por: Puranegedara, Imalsha, et al.
Publicado: (2025)

Should We Still Pretrain Encoders with Masked Language Modeling?
por: Gisserot-Boukhlef, Hippolyte, et al.
Publicado: (2025)

Word Boundary Information Isn't Useful for Encoder Language Models
por: Gow-Smith, Edward, et al.
Publicado: (2024)

RAVEN: In-Context Learning with Retrieval-Augmented Encoder-Decoder Language Models
por: Huang, Jie, et al.
Publicado: (2023)

Transformers and Cortical Waves: Encoders for Pulling In Context Across Time
por: Muller, Lyle, et al.
Publicado: (2024)

Assessing Logical Reasoning Capabilities of Encoder-Only Transformer Models
por: Pirozelli, Paulo, et al.
Publicado: (2023)