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 a paper 20 days ago
On Data Engineering for Scaling LLM Terminal Capabilities upvoted an article about 1 month ago
OpenEnv in Practice: Evaluating Tool-Using Agents in Real-World Environments liked a model 2 months ago
rednote-hilab/dots.ocrOrganizations
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 • 9 -
DebasishDhal99/odia-visual-genome-instruction-set
Viewer • Updated • 32.9k • 9 • 1 -
DebasishDhal99/bengali-visual-genome-instruction-set
Viewer • Updated • 32.9k • 12
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 • 8 -
DebasishDhal99/malayalam-visual-genome-instruction-set
Viewer • Updated • 32.9k • 9 -
DebasishDhal99/odia-visual-genome-instruction-set
Viewer • Updated • 32.9k • 9 • 1 -
DebasishDhal99/bengali-visual-genome-instruction-set
Viewer • Updated • 32.9k • 12
Technical Reports
Chain-of-Thought
Agentic
Reinforcement-Learning