Neurons exhibit concept-conditioned activation ranges forming Gaussian-like distributions with minimal overlap, and range-based interventions via NeuronLens outperform neuron-level masking in targeted manipulation with reduced collateral effects.
Recursive deep models for semantic compositionality over a sentiment treebank
3 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 3representative citing papers
TREX automates the LLM training lifecycle via collaborative agents and tree-based exploration, delivering consistent performance gains across 10 real-world fine-tuning tasks in FT-Bench.
Formulates context attribution as a combinatorial multi-armed bandit problem solved via Linear Thompson Sampling to reduce LLM queries by up to 30% on QA benchmarks while matching existing attribution quality.
citing papers explorer
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Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution
Neurons exhibit concept-conditioned activation ranges forming Gaussian-like distributions with minimal overlap, and range-based interventions via NeuronLens outperform neuron-level masking in targeted manipulation with reduced collateral effects.
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TREX: Automating LLM Fine-tuning via Agent-Driven Tree-based Exploration
TREX automates the LLM training lifecycle via collaborative agents and tree-based exploration, delivering consistent performance gains across 10 real-world fine-tuning tasks in FT-Bench.
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Context Attribution with Multi-Armed Bandit Optimization
Formulates context attribution as a combinatorial multi-armed bandit problem solved via Linear Thompson Sampling to reduce LLM queries by up to 30% on QA benchmarks while matching existing attribution quality.