Skip to content

Author

Lingdong Shen

We have 3 of 12 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Sep 2026

Advancing Scientific Chart Understanding: The SCI-CQA Benchmark and Beyond.

In real-world applications, current multimodal large models are often overestimated in their ability to understand scientific charts. To assess their true capabilities and identify key performance bottlenecks, we conducted an in-depth study on scientific chart understanding. Charts in scientific literature often featur...

Ling-Dong Shen, Qigqi, Kun Ding et al. · 0 citations
Book Open access Aug 2026

The Forgetting-Learning Trade-off: Making Reinforcement Learning Work for Protein Language Models

Diagnostics reveal that RL on PLMs is governed by two reward properties: verifiability, whether the reward is a fixed environment or a learned surrogate vulnerable to distribution shift, and coverage, the fraction of sequence space giving an informative gradient.

Hanqun Cao, Hongrui Zhang, Junde Xu et al. · 0 citations
Book Open access Aug 2026

The Forgetting-Learning Trade-off: Making Reinforcement Learning Work for Protein Language Models

Reinforcement learning (RL) is increasingly applied to Protein Language Models (PLMs), yet its effectiveness varies across tasks, and standard metrics such as pass@k can rise even when the model's solvable problem set is shrinking. We introduce two capability-level diagnostics. The Expansion-Shrinkage Ratio (ESR) measu...

Hanqun Cao, Hongrui Zhang, Junde Xu et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.