Dong Hai Phuong Nguyen
phuong-d-h-nguyen
AI & ML interests
LLM, RL, CV
Recent Activity
liked
a model
about 23 hours ago
InternRobotics/InternVLA-A1-3B
liked
a dataset
1 day ago
nvidia/Cosmos-Reason1-RL-Dataset
liked
a model
1 day ago
nvidia/Cosmos-Predict2.5-2B
Organizations
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PERL: Parameter Efficient Reinforcement Learning from Human Feedback
Paper • 2403.10704 • Published • 59 -
HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models
Paper • 2403.13447 • Published • 19 -
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 117 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 72
-
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Paper • 2405.04434 • Published • 24 -
The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
Paper • 2406.17557 • Published • 99 -
DataComp-LM: In search of the next generation of training sets for language models
Paper • 2406.11794 • Published • 55 -
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Paper • 2402.14905 • Published • 134
-
MoE-LLaVA: Mixture of Experts for Large Vision-Language Models
Paper • 2401.15947 • Published • 53 -
The (R)Evolution of Multimodal Large Language Models: A Survey
Paper • 2402.12451 • Published -
deepseek-ai/deepseek-vl-7b-base
7B • Updated • 269 • 64 -
Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts
Paper • 2405.11273 • Published • 19
-
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
Paper • 2403.09629 • Published • 79 -
V-STaR: Training Verifiers for Self-Taught Reasoners
Paper • 2402.06457 • Published • 9 -
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning
Paper • 2406.12050 • Published • 19 -
Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents
Paper • 2408.07199 • Published • 22
-
PERL: Parameter Efficient Reinforcement Learning from Human Feedback
Paper • 2403.10704 • Published • 59 -
HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models
Paper • 2403.13447 • Published • 19 -
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 117 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 72
-
MoE-LLaVA: Mixture of Experts for Large Vision-Language Models
Paper • 2401.15947 • Published • 53 -
The (R)Evolution of Multimodal Large Language Models: A Survey
Paper • 2402.12451 • Published -
deepseek-ai/deepseek-vl-7b-base
7B • Updated • 269 • 64 -
Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts
Paper • 2405.11273 • Published • 19
-
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Paper • 2405.04434 • Published • 24 -
The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
Paper • 2406.17557 • Published • 99 -
DataComp-LM: In search of the next generation of training sets for language models
Paper • 2406.11794 • Published • 55 -
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Paper • 2402.14905 • Published • 134
-
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
Paper • 2403.09629 • Published • 79 -
V-STaR: Training Verifiers for Self-Taught Reasoners
Paper • 2402.06457 • Published • 9 -
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning
Paper • 2406.12050 • Published • 19 -
Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents
Paper • 2408.07199 • Published • 22