3 papers
cs.SD2026
Collapse, Repair, and Drift: Dissecting Fine Tuning Dynamics in Speech Language Models
Yichi Wang, Wangjin Zhou, Yizhou Zhang +4
Supervised fine tuning (SFT) is commonly monitored through training and evaluation loss, but loss does not fully characterize how model functionality evolves along the same traject…
cs.AI2026
CoBRA: Learning Tool-Use Boundaries via Counterfactual Margins
Wenhao Zou, Xianglong Liu, Wendong Bi +3
As large language models increasingly act through external tools, deciding when to call a tool has become a central problem alongside deciding how to use it. Unnecessary tool calls…
cs.AI2026
GUI-GENESIS: Automated Synthesis of Efficient Environments with Verifiable Rewards for GUI Agent Post-Training
Yuan Cao, Dezhi Ran, Mengzhou Wu +9
Post-training GUI agents in interactive environments is critical for developing generalization and long-horizon planning capabilities. However, training on real-world applications…