Cover Image

Seq2Seq2Seq: Lossless Data Compression via Discrete Latent Transformers and Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Khodabandeh, Mahdi, Shabani, Ghazal, Jordehi, Arash Yousefi, Mirroshandel, Seyed Abolghasem
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Computation and Language Information Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From Semantic Roles to Opinion Roles: SRL Data Extraction for Multi-Task and Transfer Learning in Low-Resource ORL
by: Galdiani, Amirmohammad Omidi, et al.
Published: (2025)

Reference-Free Reinforcement Learning Fine-Tuning for MT: A Seq2Seq Perspective
by: Garcia-Estrada, Ernesto, et al.
Published: (2026)

Seq vs Seq: An Open Suite of Paired Encoders and Decoders
by: Weller, Orion, et al.
Published: (2025)

Exploiting the Potential of Seq2Seq Models as Robust Few-Shot Learners
by: Lee, Jihyeon, et al.
Published: (2023)

Active Few-Shot Learning for Text Classification
by: Ahmadnia, Saeed, et al.
Published: (2025)

Leveraging Graph Structure in Seq2Seq Models for Knowledge Graph Link Prediction
by: Phuc, Luu Huu, et al.
Published: (2026)

Views Are My Own, but Also Yours: Benchmarking Theory of Mind Using Common Ground
by: Soubki, Adil, et al.
Published: (2024)

UniGenCoder: Merging Seq2Seq and Seq2Tree Paradigms for Unified Code Generation
by: Shao, Liangying, et al.
Published: (2025)

Bidirectional Awareness Induction in Autoregressive Seq2Seq Models
by: Hu, Jia Cheng, et al.
Published: (2024)

Improving Bangla Linguistics: Advanced LSTM, Bi-LSTM, and Seq2Seq Models for Translating Sylheti to Modern Bangla
by: Das, Sourav Kumar, et al.
Published: (2025)

American Sign Language to Text Translation using Transformer and Seq2Seq with LSTM
by: Putra, Gregorius Guntur Sunardi, et al.
Published: (2024)

ReaSeq: Unleashing World Knowledge via Reasoning for Sequential Modeling
by: Tang, Jiakai, et al.
Published: (2025)

SeqPE: Transformer with Sequential Position Encoding
by: Li, Huayang, et al.
Published: (2025)

EHR-SeqSQL : A Sequential Text-to-SQL Dataset For Interactively Exploring Electronic Health Records
by: Ryu, Jaehee, et al.
Published: (2024)

Test-Time Steering for Lossless Text Compression via Weighted Product of Experts
by: Zhang, Qihang, et al.
Published: (2025)

OptiSeq: Ordering Examples On-The-Fly for In-Context Learning
by: Bhope, Rahul Atul, et al.
Published: (2025)

Data Smoothing Filling Method based on ScRNA-Seq Data Zero-Value Identification
by: Jiang, Linfeng, et al.
Published: (2024)

SIP: Injecting a Structural Inductive Bias into a Seq2Seq Model by Simulation
by: Lindemann, Matthias, et al.
Published: (2023)

Enhancing Instruction-Following Capabilities in Seq2Seq Models: DoLA Adaptations for T5
by: Sun, Huey, et al.
Published: (2025)

L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text Compression
by: Zhang, Junxuan, et al.
Published: (2024)

Public Transit Arrival Prediction: a Seq2Seq RNN Approach
by: Bhutani, Nancy, et al.
Published: (2022)

Seq2Seq Model-Based Chatbot with LSTM and Attention Mechanism for Enhanced User Interaction
by: Benaddi, Lamya, et al.
Published: (2024)

Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation
by: Vilalta-Mor, Júlia, et al.
Published: (2025)

Vision Transformers in Precision Agriculture: A Comprehensive Survey
by: Mehdipour, Saber, et al.
Published: (2025)

Sinhala Transliteration: A Comparative Analysis Between Rule-based and Seq2Seq Approaches
by: De Mel, Yomal, et al.
Published: (2024)

SeqAR: Jailbreak LLMs with Sequential Auto-Generated Characters
by: Yang, Yan, et al.
Published: (2024)

Still Not There: Can LLMs Outperform Smaller Task-Specific Seq2Seq Models on the Poetry-to-Prose Conversion Task?
by: Das, Kunal Kingkar, et al.
Published: (2025)

Learning Transductions and Alignments with RNN Seq2seq Models
by: Wang, Zhengxiang
Published: (2023)

SeqUDA-Rec: Sequential User Behavior Enhanced Recommendation via Global Unsupervised Data Augmentation for Personalized Content Marketing
by: Luo, Ruihan, et al.
Published: (2025)

The Impact of Quantization on the Robustness of Transformer-based Text Classifiers
by: Neshaei, Seyed Parsa, et al.
Published: (2024)

Enhancing Stress-Strain Predictions with Seq2Seq and Cross-Attention based on Small Punch Test
by: Yang, Zhengni, et al.
Published: (2025)

Enhancing Emotion Prediction in News Headlines: Insights from ChatGPT and Seq2Seq Models for Free-Text Generation
by: Gao, Ge, et al.
Published: (2024)

P2LHAP:Wearable sensor-based human activity recognition, segmentation and forecast through Patch-to-Label Seq2Seq Transformer
by: Li, Shuangjian, et al.
Published: (2024)

SeqPO-SiMT: Sequential Policy Optimization for Simultaneous Machine Translation
by: Xu, Ting, et al.
Published: (2025)

Nacrith: Neural Lossless Compression via Ensemble Context Modeling and High-Precision CDF Coding
by: Tacconelli, Roberto
Published: (2026)

A Classification of Elements of Sequence Space $Seq(\mathbb{R})$
by: Soltanifar, Mohsen
Published: (2025)

A Hybrid PCA-PR-Seq2Seq-Adam-LSTM Framework for Time-Series Power Outage Prediction
by: Das, Subhabrata, et al.
Published: (2025)

SA-DiffuSeq: Addressing Computational and Scalability Challenges in Long-Document Generation with Sparse Attention
by: Christoforos, Alexandros, et al.
Published: (2025)

A Multimodal Seq2Seq Transformer for Predicting Brain Responses to Naturalistic Stimuli
by: He, Qianyi, et al.
Published: (2025)

Efficient Seq2seq Coreference Resolution Using Entity Representations
by: Grenander, Matt, et al.
Published: (2025)