SeaLLMs -- Large Language Models for Southeast Asia
Fuente:
arXiv
Saved in:
| Main Authors: | Nguyen, Xuan-Phi, Zhang, Wenxuan, Li, Xin, Aljunied, Mahani, Hu, Zhiqiang, Shen, Chenhui, Chia, Yew Ken, Li, Xingxuan, Wang, Jianyu, Tan, Qingyu, Cheng, Liying, Chen, Guanzheng, Deng, Yue, Yang, Sen, Liu, Chaoqun, Zhang, Hang, Bing, Lidong |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages
by: Zhang, Wenxuan, et al.
Published: (2024)
by: Zhang, Wenxuan, et al.
Published: (2024)
SeaLLMs-Audio: Large Audio-Language Models for Southeast Asia
by: Liu, Chaoqun, et al.
Published: (2025)
by: Liu, Chaoqun, et al.
Published: (2025)
SeaExam and SeaBench: Benchmarking LLMs with Local Multilingual Questions in Southeast Asia
by: Liu, Chaoqun, et al.
Published: (2025)
by: Liu, Chaoqun, et al.
Published: (2025)
Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts
by: Nguyen, Xuan-Phi, et al.
Published: (2023)
by: Nguyen, Xuan-Phi, et al.
Published: (2023)
M-Longdoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework
by: Chia, Yew Ken, et al.
Published: (2024)
by: Chia, Yew Ken, et al.
Published: (2024)
Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction
by: Chia, Yew Ken, et al.
Published: (2023)
by: Chia, Yew Ken, et al.
Published: (2023)
ParaICL: Towards Parallel In-Context Learning
by: Li, Xingxuan, et al.
Published: (2024)
by: Li, Xingxuan, et al.
Published: (2024)
Sufi Warriorism in Muslim Southeast Asia
by: Khairudin Aljunied
Published: (2024)
by: Khairudin Aljunied
Published: (2024)
Unlocking Temporal Question Answering for Large Language Models with Tailor-Made Reasoning Logic
by: Li, Xingxuan, et al.
Published: (2023)
by: Li, Xingxuan, et al.
Published: (2023)
Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
by: Li, Xingxuan, et al.
Published: (2023)
by: Li, Xingxuan, et al.
Published: (2023)
Babel: Open Multilingual Large Language Models Serving Over 90% of Global Speakers
by: Zhao, Yiran, et al.
Published: (2025)
by: Zhao, Yiran, et al.
Published: (2025)
Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee Discussions
by: Zhao, Ruochen, et al.
Published: (2024)
by: Zhao, Ruochen, et al.
Published: (2024)
Can-Do! A Dataset and Neuro-Symbolic Grounded Framework for Embodied Planning with Large Multimodal Models
by: Chia, Yew Ken, et al.
Published: (2024)
by: Chia, Yew Ken, et al.
Published: (2024)
Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations
by: Xiao, Chenghao, et al.
Published: (2025)
by: Xiao, Chenghao, et al.
Published: (2025)
Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective
by: Wang, Jianyu, et al.
Published: (2025)
by: Wang, Jianyu, et al.
Published: (2025)
Multi-Agent Tool-Integrated Policy Optimization
by: Mo, Zhanfeng, et al.
Published: (2025)
by: Mo, Zhanfeng, et al.
Published: (2025)
LongRLVR: Long-Context Reinforcement Learning Requires Verifiable Context Rewards
by: Chen, Guanzheng, et al.
Published: (2026)
by: Chen, Guanzheng, et al.
Published: (2026)
LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization
by: Chen, Guanzheng, et al.
Published: (2025)
by: Chen, Guanzheng, et al.
Published: (2025)
Evaluating Psychological Safety of Large Language Models
by: Li, Xingxuan, et al.
Published: (2022)
by: Li, Xingxuan, et al.
Published: (2022)
Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models
by: Liu, Chaoqun, et al.
Published: (2024)
by: Liu, Chaoqun, et al.
Published: (2024)
CLEX: Continuous Length Extrapolation for Large Language Models
by: Chen, Guanzheng, et al.
Published: (2023)
by: Chen, Guanzheng, et al.
Published: (2023)
PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns
by: Chia, Yew Ken, et al.
Published: (2024)
by: Chia, Yew Ken, et al.
Published: (2024)
Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths
by: Chia, Yew Ken, et al.
Published: (2024)
by: Chia, Yew Ken, et al.
Published: (2024)
Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels
by: Liu, Chaoqun, et al.
Published: (2024)
by: Liu, Chaoqun, et al.
Published: (2024)
Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks
by: Li, Xingxuan, et al.
Published: (2024)
by: Li, Xingxuan, et al.
Published: (2024)
Scaling Language-Centric Omnimodal Representation Learning
by: Xiao, Chenghao, et al.
Published: (2025)
by: Xiao, Chenghao, et al.
Published: (2025)
Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning
by: Tan, Qingyu, et al.
Published: (2023)
by: Tan, Qingyu, et al.
Published: (2023)
Multilingual Jailbreak Challenges in Large Language Models
by: Deng, Yue, et al.
Published: (2023)
by: Deng, Yue, et al.
Published: (2023)
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs
by: Cheng, Zesen, et al.
Published: (2024)
by: Cheng, Zesen, et al.
Published: (2024)
OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe
by: Zhang, Kaichen, et al.
Published: (2025)
by: Zhang, Kaichen, et al.
Published: (2025)
VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding
by: Zhang, Boqiang, et al.
Published: (2025)
by: Zhang, Boqiang, et al.
Published: (2025)
Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning
by: Wang, Huiming, et al.
Published: (2023)
by: Wang, Huiming, et al.
Published: (2023)
Exploring the Potential of Large Language Models in Computational Argumentation
by: Chen, Guizhen, et al.
Published: (2023)
by: Chen, Guizhen, et al.
Published: (2023)
How do Large Language Models Handle Multilingualism?
by: Zhao, Yiran, et al.
Published: (2024)
by: Zhao, Yiran, et al.
Published: (2024)
AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging
by: Zhao, Yiran, et al.
Published: (2024)
by: Zhao, Yiran, et al.
Published: (2024)
Pruning General Large Language Models into Customized Expert Models
by: Zhao, Yirao, et al.
Published: (2025)
by: Zhao, Yirao, et al.
Published: (2025)
Inventory of fish products in Southeast Asia: Third edition, 1996
by: Ng, Mui Chng, et al.
Published: (1997)
by: Ng, Mui Chng, et al.
Published: (1997)
SeaLLM: Service-Aware and Latency-Optimized Resource Sharing for Large Language Model Inference
by: Zhao, Yihao, et al.
Published: (2025)
by: Zhao, Yihao, et al.
Published: (2025)
Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective
by: Zhu, Yongxin, et al.
Published: (2024)
by: Zhu, Yongxin, et al.
Published: (2024)
ParaVT: Taming the Tool Prior Paradox for Parallel Tool Use in Agentic Video Reinforcement Learning
by: Yang, Zuhao, et al.
Published: (2026)
by: Yang, Zuhao, et al.
Published: (2026)
Similar Items
-
SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages
by: Zhang, Wenxuan, et al.
Published: (2024) -
SeaLLMs-Audio: Large Audio-Language Models for Southeast Asia
by: Liu, Chaoqun, et al.
Published: (2025) -
SeaExam and SeaBench: Benchmarking LLMs with Local Multilingual Questions in Southeast Asia
by: Liu, Chaoqun, et al.
Published: (2025) -
Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts
by: Nguyen, Xuan-Phi, et al.
Published: (2023) -
M-Longdoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework
by: Chia, Yew Ken, et al.
Published: (2024)