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cs.LG2026
Self-Improving Tabular Language Models via Iterative Reward-Guided Post-Training
Yunbo Long, Tejumade Afonja, Guangya Hao +2
Tabular language models can generate synthetic tables by modeling rows as token sequences, but they are typically trained once with supervised fine-tuning and then used as static s…
cs.CV2026
Automated Detection of Abnormalities in Zebrafish Development
Sarath Sivaprasad, Hui-Po Wang, Anna-Lisa Jäckel +4
Zebrafish embryos are a valuable model for drug discovery due to their optical transparency and genetic similarity to humans. However, current evaluations rely on manual inspection…