For T2T task of Workshop on Asian Translation(2025), these are the fine-tuned models with NLLB-200-XB as base model, with WAT + 100k samanantar pairs.
Debasish Dhal
DebasishDhal99
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Recent Activity
upvoted an article 8 days ago
OpenEnv in Practice: Evaluating Tool-Using Agents in Real-World Environments liked
a model about 1 month ago
rednote-hilab/dots.ocr upvoted a paper about 2 months ago
mHC: Manifold-Constrained Hyper-Connections Organizations
Visual-Genome-Instruction-Set
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DebasishDhal99/hindi-visual-genome-instruction-set
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DebasishDhal99/malayalam-visual-genome-instruction-set
Viewer • Updated • 32.9k • 10 -
DebasishDhal99/odia-visual-genome-instruction-set
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DebasishDhal99/bengali-visual-genome-instruction-set
Viewer • Updated • 32.9k • 26
Chain-of-Thought
Reinforcement-Learning
Workshop-on-Asian-Translation-2025-FinetunedModels
For T2T task of Workshop on Asian Translation(2025), these are the fine-tuned models with NLLB-200-XB as base model, with WAT + 100k samanantar pairs.
Visual-Genome-Instruction-Set
-
DebasishDhal99/hindi-visual-genome-instruction-set
Viewer • Updated • 32.9k • 14 -
DebasishDhal99/malayalam-visual-genome-instruction-set
Viewer • Updated • 32.9k • 10 -
DebasishDhal99/odia-visual-genome-instruction-set
Viewer • Updated • 32.9k • 14 • 1 -
DebasishDhal99/bengali-visual-genome-instruction-set
Viewer • Updated • 32.9k • 26
Technical Reports
Chain-of-Thought
Agentic
Reinforcement-Learning