Replace an LLM agent's closed-set decisions with a cheap classifier trained from its own logs. Code for the paper TabAgent: Distilling LLM Agent Components into Cheap Classifiers.

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ai-agents catboost distillation llm-agents machine-learning routing tabular-data tool-selection
12 Open Issues Need Help Last updated: Oct 25, 2026

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help wanted track: feature-card

Replace an LLM agent's closed-set decisions with a cheap classifier trained from its own logs. Code for the paper TabAgent: Distilling LLM Agent Components into Cheap Classifiers.

Python
#ai-agents#catboost#distillation#llm-agents#machine-learning#routing#tabular-data#tool-selection
help wanted track: hot-swap

Replace an LLM agent's closed-set decisions with a cheap classifier trained from its own logs. Code for the paper TabAgent: Distilling LLM Agent Components into Cheap Classifiers.

Python
#ai-agents#catboost#distillation#llm-agents#machine-learning#routing#tabular-data#tool-selection

Replace an LLM agent's closed-set decisions with a cheap classifier trained from its own logs. Code for the paper TabAgent: Distilling LLM Agent Components into Cheap Classifiers.

Python
#ai-agents#catboost#distillation#llm-agents#machine-learning#routing#tabular-data#tool-selection
help wanted track: feature-card research

Replace an LLM agent's closed-set decisions with a cheap classifier trained from its own logs. Code for the paper TabAgent: Distilling LLM Agent Components into Cheap Classifiers.

Python
#ai-agents#catboost#distillation#llm-agents#machine-learning#routing#tabular-data#tool-selection
documentation help wanted track: feature-card

Replace an LLM agent's closed-set decisions with a cheap classifier trained from its own logs. Code for the paper TabAgent: Distilling LLM Agent Components into Cheap Classifiers.

Python
#ai-agents#catboost#distillation#llm-agents#machine-learning#routing#tabular-data#tool-selection
good first issue track: feature-card

Replace an LLM agent's closed-set decisions with a cheap classifier trained from its own logs. Code for the paper TabAgent: Distilling LLM Agent Components into Cheap Classifiers.

Python
#ai-agents#catboost#distillation#llm-agents#machine-learning#routing#tabular-data#tool-selection
help wanted track: hot-swap research

Replace an LLM agent's closed-set decisions with a cheap classifier trained from its own logs. Code for the paper TabAgent: Distilling LLM Agent Components into Cheap Classifiers.

Python
#ai-agents#catboost#distillation#llm-agents#machine-learning#routing#tabular-data#tool-selection
help wanted track: hot-swap

Replace an LLM agent's closed-set decisions with a cheap classifier trained from its own logs. Code for the paper TabAgent: Distilling LLM Agent Components into Cheap Classifiers.

Python
#ai-agents#catboost#distillation#llm-agents#machine-learning#routing#tabular-data#tool-selection
documentation good first issue track: hot-swap

Replace an LLM agent's closed-set decisions with a cheap classifier trained from its own logs. Code for the paper TabAgent: Distilling LLM Agent Components into Cheap Classifiers.

Python
#ai-agents#catboost#distillation#llm-agents#machine-learning#routing#tabular-data#tool-selection
help wanted track: scan

Replace an LLM agent's closed-set decisions with a cheap classifier trained from its own logs. Code for the paper TabAgent: Distilling LLM Agent Components into Cheap Classifiers.

Python
#ai-agents#catboost#distillation#llm-agents#machine-learning#routing#tabular-data#tool-selection
good first issue track: scan adapters

Replace an LLM agent's closed-set decisions with a cheap classifier trained from its own logs. Code for the paper TabAgent: Distilling LLM Agent Components into Cheap Classifiers.

Python
#ai-agents#catboost#distillation#llm-agents#machine-learning#routing#tabular-data#tool-selection
good first issue track: scan adapters

Replace an LLM agent's closed-set decisions with a cheap classifier trained from its own logs. Code for the paper TabAgent: Distilling LLM Agent Components into Cheap Classifiers.

Python
#ai-agents#catboost#distillation#llm-agents#machine-learning#routing#tabular-data#tool-selection