Author

Yixiong Chen

3 papers indexed here

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.

#artificial intelligence Jun 2026

Not All Errors Are Equal: Consequence-Aware Reasoning Compute Allocation

Test-time compute has emerged as an effective paradigm for improving large language model capability at inference time. Existing allocation strategies primarily prioritize tasks according to difficulty, uncertainty, or expected performance gain, implicitly treating prediction errors as equally costly. This assumption i...

Liang He, Jin Wen, Hao-Yue Wang et al. · arXiv.org · 2 citations

#artificial intelligence Preprint Sep 2026

You Cannot Pick a Provider From the Price List: Market-Aware Routing for Open-Weight LLM Inference

Existing LLM routers choose among models using static per-model costs. We show that open-weight inference markets introduce a second, largely ignored decision axis: after choosing a model, a client must still choose which provider serves it. Measuring live endpoints across [nummodels] open models, competing providers,...

Liang He, Jing Wen, Yi-Xiong Chen et al. · 0 citations

Preprint Aug 2026

From Relevance to Execution Utility: Reward-Aware Dynamic Execution Gating for Skill-Based LLM Agents

Agent skills are increasingly used to equip large language model (LLM) agents with reusable procedural knowledge. Although recent work has substantially improved skill retrieval due to the increasing skill libraries, retrieving a plausible skill bundle does not guarantee that executing it is worthwhile. Since every ski...

Liang He, Jing Wen, Hong-Yu Gu et al. · 2 citations · ⚡1