All material about development and deployment of multi-agent systems
Nayan Moni Baishya
NMB
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AI & ML interests
Computer Vision, Applied Deep Learning, Deep Learning Security
Organizations
None yet
Datasets
Reasoning Models
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A Preliminary Study for GPT-4o on Image Restoration
Paper • 2505.05621 • Published • 11 -
CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization
Paper • 2507.06181 • Published • 43 -
CLiFT: Compressive Light-Field Tokens for Compute-Efficient and Adaptive Neural Rendering
Paper • 2507.08776 • Published • 54
LLM
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How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?
Paper • 2502.14502 • Published • 91 -
SIFT: Grounding LLM Reasoning in Contexts via Stickers
Paper • 2502.14922 • Published • 32 -
SurveyX: Academic Survey Automation via Large Language Models
Paper • 2502.14776 • Published • 100 -
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment
Paper • 2502.16894 • Published • 32
Multi-Agent Systems
All material about development and deployment of multi-agent systems
Datasets
Multimodal Modals
Reasoning Models
-
A Preliminary Study for GPT-4o on Image Restoration
Paper • 2505.05621 • Published • 11 -
CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization
Paper • 2507.06181 • Published • 43 -
CLiFT: Compressive Light-Field Tokens for Compute-Efficient and Adaptive Neural Rendering
Paper • 2507.08776 • Published • 54
Inage Generation
LLM
-
How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?
Paper • 2502.14502 • Published • 91 -
SIFT: Grounding LLM Reasoning in Contexts via Stickers
Paper • 2502.14922 • Published • 32 -
SurveyX: Academic Survey Automation via Large Language Models
Paper • 2502.14776 • Published • 100 -
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment
Paper • 2502.16894 • Published • 32