T-Tech

AI & ML interests

Scientific research; Natural language processing: speech analytics, search engines, dialogue systems; A family of LLMs; Speech technologies; Fraud prevention technologies; Computer vision; Recommender systems; Time series analysis

Recent Activity

rusrakhimov  authored a paper 3 days ago

Qantara: Bridge-Flow Training for Multi-Paradigm JEPA Control

rusrakhimov  authored a paper 3 days ago

Rank-Then-Act: Reward-Free Control from Frame-Order Progress

GeorgeBredis  submitted a paper 4 days ago

Rank-Then-Act: Reward-Free Control from Frame-Order Progress

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Papers

Rank-Then-Act: Reward-Free Control from Frame-Order Progress

Unstable Features, Reproducible Subspaces: Understanding Seed Dependence in Sparse Autoencoders

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Team members 20