26 citations · 49 across the 10 of their papers we have counts for
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cs.CL2026
UltraX: Refining Pre-Training Data at Scale with Adaptive Programmatic Editing
Xinlong Zhao, Dongsheng Liu, Hengyu Zhao +9
As available training data approaches its physical limit, gains from Scaling Laws have begun to diminish. Consequently, improving Large Language Models (LLMs) now depends less on d…
cs.AI2026
Agent MechSuits: Mechanistic Subspace Safety Steering for Multi-Turn CLI Agents
Weidi Luo, Qiming Zhang, Yihao Quan +5
Command-Line Interface (CLI) agents based on large language models (LLMs) demonstrate remarkable autonomous capabilities, but they also introduce significant safety and misuse risk…