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20242026
most citedReassessing the Role of Supervised Fine-Tuning: An Empirical Study in VLM Reasoning

1 citations · 2 across the 10 of their papers we have counts for

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cs.CL2026

Facts Don't Speak Louder than Words: The Behavioral Essence of Long-CoT Distillation

Yongcan Yu, Jian Liang, Lingxiao He +5

While long chain-of-thought (CoT) distillation significantly improves the reasoning abilities of language models, its underlying mechanism remains poorly understood. Current pipeli…

cs.DC2026

Mosaic: Towards Efficient Training of Multimodal Models with Spatial Resource Multiplexing

Yanbo Wang, Yuxuan Wang, Chen Chen +6

With the wide adoption of Multimodal Models (MMs) in real-world scenarios, it is significant to efficiently train emerging MMs that exhibit increasingly complex module architecture…

cs.CL2026

APPSI-139: A Parallel Corpus of English Application Privacy Policy Summarization and Interpretation

Pengyun Zhu, Qiheng Sun, Long Wen +7

Privacy policies are essential for users to understand how service providers handle their personal data. However, these documents are often long and complex, as well as filled with…

cs.LG2026

What If Consensus Lies? Selective-Complementary Reinforcement Learning at Test Time

Dong Yan, Jian Liang, Yanbo Wang +3

Test-Time Reinforcement Learning (TTRL) enables Large Language Models (LLMs) to enhance reasoning capabilities on unlabeled test streams by deriving pseudo-rewards from majority vo…

cs.CR2026

Mitigating the Safety-utility Trade-off in LLM Alignment via Adaptive Safe Context Learning

Yanbo Wang, Minzheng Wang, Jian Liang +3

While reasoning models have achieved remarkable success in complex reasoning tasks, their increasing power necessitates stringent safety measures. For safety alignment, the core ch…