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Xinyuan Guo

3 accepted papers

2026

Beyond Euclidean Clipping: Overcoming Exploration Collapse in LLM RL via Riemannian Isometric Policy Optimization

ICML 2026poster

Reinforcement learning (RL) has become a dominant paradigm for enhancing LLMs' reasoning capabilities. However, RL algorithms with PPO-Clip are inherently limited by exploration collapse. Subsequent works remain primarily heuristic and fail to identify the essential cause of PPO-Clip’s failure. This…

Cited by 0SourceScholar
2026

ChartGalaxy: A Dataset for Infographic Chart Understanding and Generation

ICLR 2026poster

Infographic charts are a powerful medium for communicating abstract data by combining visual elements (e.g., charts, images) with textual information. However, their visual and structural richness poses challenges for large vision-language models (LVLMs), which are typically trained on plain charts.…

Cited by 0SourcecodeScholar
2026

Quota-Calibrated Fine-Grained Alignment with Context-Aware Marginals for Text-based Person Retrieval

CVPR 2026

The core challenge in Text-based Person Retrieval (TPR) lies in establishing fine-grained, many-to-many semantic alignment between textual words and visual regions. Existing methods predominantly rely on pointwise similarity or attention mechanisms, implicitly assuming matches are independent and ba

Cited by 0SourceScholar