Interpretable sparse fine-tuning with TopKLoRA enables faithful circuit discovery

23 Oct 2026Reported by arXiv21

Interpretable sparse fine-tuning with TopKLoRA enables faithful circuit discovery. It centres on Fine-tuning, and also names Gemma and GitHub. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.

Written by Bharat Hunt from the headline and the coverage below. The original reporting is the source of truth.

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Reported by arXiv

First seen 23 oct 2026

arXivInterpretable sparse fine-tuning with TopKLoRA enables faithful circuit discovery23 Oct 2026Marek Masiak

AI Tools24

Measuring the Serving Stack Instead of the Model: Hidden Confounds in Local Tool-Use Evaluation

Measuring the Serving Stack Instead of the Model: Hidden Confounds in Local Tool-Use Evaluation. It centres on Benchmarks, and also names Ollama and Phi. Reported by arXiv. Bharat Hunt files it under AI Tools and AI Models — the section covering applications people use — assistants, editors, search, productivity.

arXiv22 Sept 2026

AI Models23

MINDSET: Energy-based Schema Evolution for Long Conversational Agent Memory

MINDSET: Energy-based Schema Evolution for Long Conversational Agent Memory. It centres on Benchmarks, and also names Gemma. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.

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Interpretable sparse fine-tuning with TopKLoRA enables faithful circuit discovery

Companies, models and people in this story

Reported by arXiv

Measuring the Serving Stack Instead of the Model: Hidden Confounds in Local Tool-Use Evaluation

MINDSET: Energy-based Schema Evolution for Long Conversational Agent Memory

Benchmarking and Domain Adaptation of Automatic Speech Recognition (ASR) for Adolescent Health Communication in Ghanaian Languages

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Companies, models and people in this story

Reported by arXiv

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