Aligning Pre-trained Models for Spoken Language Translation
Fuente:
arXiv
Saved in:
| Main Authors: | Sedláček, Šimon, Kesiraju, Santosh, Polok, Alexander, Černocký, Jan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Factors affecting the in-context learning abilities of LLMs for dialogue state tracking
by: Hegde, Pradyoth, et al.
Published: (2025)
by: Hegde, Pradyoth, et al.
Published: (2025)
Joint Speech and Text Training for LLM-Based End-to-End Spoken Dialogue State Tracking
by: Vendrame, Katia, et al.
Published: (2025)
by: Vendrame, Katia, et al.
Published: (2025)
Integrating Pre-trained Language Model into Neural Machine Translation
by: Hwang, Soon-Jae, et al.
Published: (2023)
by: Hwang, Soon-Jae, et al.
Published: (2023)
ParaPO: Aligning Language Models to Reduce Verbatim Reproduction of Pre-training Data
by: Chen, Tong, et al.
Published: (2025)
by: Chen, Tong, et al.
Published: (2025)
Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs
by: Sedláček, Šimon, et al.
Published: (2025)
by: Sedláček, Šimon, et al.
Published: (2025)
Investigating Data Contamination for Pre-training Language Models
by: Jiang, Minhao, et al.
Published: (2024)
by: Jiang, Minhao, et al.
Published: (2024)
Sequence-to-Sequence Spanish Pre-trained Language Models
by: Araujo, Vladimir, et al.
Published: (2023)
by: Araujo, Vladimir, et al.
Published: (2023)
Scaling Properties of Continuous Diffusion Spoken Language Models
by: Ramapuram, Jason, et al.
Published: (2026)
by: Ramapuram, Jason, et al.
Published: (2026)
Simple and Scalable Strategies to Continually Pre-train Large Language Models
by: Ibrahim, Adam, et al.
Published: (2024)
by: Ibrahim, Adam, et al.
Published: (2024)
Pre-training Limited Memory Language Models with Internal and External Knowledge
by: Zhao, Linxi, et al.
Published: (2025)
by: Zhao, Linxi, et al.
Published: (2025)
Sparse is Enough in Fine-tuning Pre-trained Large Language Models
by: Song, Weixi, et al.
Published: (2023)
by: Song, Weixi, et al.
Published: (2023)
Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization
by: Samragh, Mohammad, et al.
Published: (2024)
by: Samragh, Mohammad, et al.
Published: (2024)
CDGP: Automatic Cloze Distractor Generation based on Pre-trained Language Model
by: Chiang, Shang-Hsuan, et al.
Published: (2024)
by: Chiang, Shang-Hsuan, et al.
Published: (2024)
HiFloat4 Format for Language Model Pre-training on Ascend NPUs
by: Taghian, Mehran, et al.
Published: (2026)
by: Taghian, Mehran, et al.
Published: (2026)
Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset
by: Ramalepe, Simon P., et al.
Published: (2025)
by: Ramalepe, Simon P., et al.
Published: (2025)
ORCA: Open-ended Response Correctness Assessment for Audio Question Answering
by: Sedláček, Šimon, et al.
Published: (2025)
by: Sedláček, Šimon, et al.
Published: (2025)
Pre-trained Language Models Improve the Few-shot Prompt Ability of Decision Transformer
by: Yang, Yu, et al.
Published: (2024)
by: Yang, Yu, et al.
Published: (2024)
Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models
by: Mackraz, Natalie, et al.
Published: (2024)
by: Mackraz, Natalie, et al.
Published: (2024)
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
by: Xia, Mengzhou, et al.
Published: (2023)
by: Xia, Mengzhou, et al.
Published: (2023)
MemoryPrompt: A Light Wrapper to Improve Context Tracking in Pre-trained Language Models
by: Rakotonirina, Nathanaël Carraz, et al.
Published: (2024)
by: Rakotonirina, Nathanaël Carraz, et al.
Published: (2024)
PhoneLM:an Efficient and Capable Small Language Model Family through Principled Pre-training
by: Yi, Rongjie, et al.
Published: (2024)
by: Yi, Rongjie, et al.
Published: (2024)
Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion?
by: Sakai, Yusuke, et al.
Published: (2023)
by: Sakai, Yusuke, et al.
Published: (2023)
Recycling the Web: A Method to Enhance Pre-training Data Quality and Quantity for Language Models
by: Nguyen, Thao, et al.
Published: (2025)
by: Nguyen, Thao, et al.
Published: (2025)
Machine Unlearning of Pre-trained Large Language Models
by: Yao, Jin, et al.
Published: (2024)
by: Yao, Jin, et al.
Published: (2024)
Align to Structure: Aligning Large Language Models with Structural Information
by: Kim, Zae Myung, et al.
Published: (2025)
by: Kim, Zae Myung, et al.
Published: (2025)
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training
by: Brandfonbrener, David, et al.
Published: (2024)
by: Brandfonbrener, David, et al.
Published: (2024)
Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both?
by: Soni, Nikita, et al.
Published: (2024)
by: Soni, Nikita, et al.
Published: (2024)
Aurora-M: Open Source Continual Pre-training for Multilingual Language and Code
by: Nakamura, Taishi, et al.
Published: (2024)
by: Nakamura, Taishi, et al.
Published: (2024)
Automated Multi-Language to English Machine Translation Using Generative Pre-Trained Transformers
by: Pelofske, Elijah, et al.
Published: (2024)
by: Pelofske, Elijah, et al.
Published: (2024)
Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation
by: Zhang, Yuhui, et al.
Published: (2023)
by: Zhang, Yuhui, et al.
Published: (2023)
Qalb: Largest State-of-the-Art Urdu Large Language Model for 230M Speakers with Systematic Continued Pre-training
by: Hassan, Muhammad Taimoor, et al.
Published: (2026)
by: Hassan, Muhammad Taimoor, et al.
Published: (2026)
Towards Aligning Language Models with Textual Feedback
by: Lloret, Saüc Abadal, et al.
Published: (2024)
by: Lloret, Saüc Abadal, et al.
Published: (2024)
Aligning Language Models from User Interactions
by: Buening, Thomas Kleine, et al.
Published: (2026)
by: Buening, Thomas Kleine, et al.
Published: (2026)
Deconstructing Pre-training: Knowledge Attribution Analysis in MoE and Dense Models
by: Wang, Bo, et al.
Published: (2026)
by: Wang, Bo, et al.
Published: (2026)
MathBridge: A Large Corpus Dataset for Translating Spoken Mathematical Expressions into $LaTeX$ Formulas for Improved Readability
by: Jung, Kyudan, et al.
Published: (2024)
by: Jung, Kyudan, et al.
Published: (2024)
Non-instructional Fine-tuning: Enabling Instruction-Following Capabilities in Pre-trained Language Models without Instruction-Following Data
by: Xie, Juncheng, et al.
Published: (2024)
by: Xie, Juncheng, et al.
Published: (2024)
GUNDAM: Aligning Large Language Models with Graph Understanding
by: Ouyang, Sheng, et al.
Published: (2024)
by: Ouyang, Sheng, et al.
Published: (2024)
Aligning Large Language Models by On-Policy Self-Judgment
by: Lee, Sangkyu, et al.
Published: (2024)
by: Lee, Sangkyu, et al.
Published: (2024)
Aligning Language Models for Icelandic Legal Text Summarization
by: Harðarson, Þórir Hrafn, et al.
Published: (2025)
by: Harðarson, Þórir Hrafn, et al.
Published: (2025)
CASE: Efficient Curricular Data Pre-training for Building Assistive Psychology Expert Models
by: Harne, Sarthak, et al.
Published: (2024)
by: Harne, Sarthak, et al.
Published: (2024)
Similar Items
-
Factors affecting the in-context learning abilities of LLMs for dialogue state tracking
by: Hegde, Pradyoth, et al.
Published: (2025) -
Joint Speech and Text Training for LLM-Based End-to-End Spoken Dialogue State Tracking
by: Vendrame, Katia, et al.
Published: (2025) -
Integrating Pre-trained Language Model into Neural Machine Translation
by: Hwang, Soon-Jae, et al.
Published: (2023) -
ParaPO: Aligning Language Models to Reduce Verbatim Reproduction of Pre-training Data
by: Chen, Tong, et al.
Published: (2025) -
Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs
by: Sedláček, Šimon, et al.
Published: (2025)