collaborators

12 papers

cs.AI2026

Reachability Is Not Realization: Tracing the Sources of LLM Benchmark Gains

Yanchao Li, Wanhao Liu, Jiaqing Xie +4

Benchmark gains are often treated as evidence of greater LLM capability. Yet the same gain can reflect different changes in model behavior. A model may reach new answers, or produc…

cs.LG2026

Disagree to Accelerate: Closing the Loop on Diffusion Feature Forecasts

Yanchao Li, Jiaqing Xie, Ben Gao +6

Training-free feature forecasting accelerates diffusion sampling by predicting features at skipped denoising steps. Recent work has mainly focused on designing stronger forecasters…

cs.AI2026

OmniMatBench: A Human-Calibrated Multimodal Reasoning Benchmark Across 19 Materials Science Subfields

Wanhao Liu, Jiaqing Xie, Qian Tan +10

As multimodal language models play an increasingly important role in scientific research, materials science offers a critical testbed due to its interdisciplinary, multimodal, and…

cs.AI2026

SkillsInjector: Dynamic Skill Context Construction for LLM Agents

Yanchao Li, Wanhao Liu, Ben Gao +5

LLM agents now draw on growing skill libraries to handle complex tasks. However, injecting more skills does not always improve task completion and can even degrade it. Existing met…

cs.CV2026

PolyReal: A Benchmark for Real-World Polymer Science Workflows

Wanhao Liu, Weida Wang, Jiaqing Xie +12

Multimodal Large Language Models (MLLMs) excel in general domains but struggle with complex, real-world science. We posit that polymer science, an interdisciplinary field spanning…

cs.AI2025

MolAct: An Agentic RL Framework for Molecular Editing and Property Optimization

Zhuo Yang, Yeyun Chen, Jiaqing Xie +7

Molecular editing and optimization are multi-step problems that require iteratively improving properties while keeping molecules chemically valid and structurally similar. We frame…