| layout | title | weight |
|---|---|---|
full-width |
Papers |
2 |
(* for equal contribution)
🗺️ *[Mapping Overlaps in Benchmarks through Perplexity in the Wild](https://www.arxiv.org/abs/2509.23488)*
*International Conference on Learning Representations* (**ICLR 2026**)
Siyang Wu\*, Honglin Bao\*, **Sida Li**\*, Ari Holzman, James Evans
🔮 *[LLM-as-a-Prophet: Understanding Predictive Intelligence with Prophet Arena](https://arxiv.org/abs/2510.17638)*
*International Conference on Learning Representations* (**ICLR 2026**)
[🕸 Website](https://www.prophetarena.co/) | [✍️ Blogpost](https://www.prophetarena.co/blog/welcome) | [💻 Package](https://ai-prophet.github.io/pm_ranking/)
Qingchuan Yang\*, Simon Mahns\*, **Sida Li**\*, Anri Gu\*, Jibang Wu, Haifeng Xu
📈 *[ShorterBetter: Guiding Reasoning Models to Find Optimal Inference Length for Efficient Reasoning](https://arxiv.org/abs/2504.21370)*
*Neural Information Processing Systems* (**NeurIPS 2025**)
[🕸 Website](https://jiazheng-wang-yes.github.io/ShorterBetter_ProjectPage/) | [💻 Code](https://github.com/JingyangYi/ShorterBetter) | [🤗 Huggingface (SB-7B)](https://huggingface.co/JingyangYi/SB_DS7B_alpha_2/tree/main)
Jingyang Yi, Jiazheng Wang, **Sida Li**
⚙️ *[Prediction-Powered Adaptive Shrinkage Estimation](https://arxiv.org/abs/2502.14166)*
*International Conference on Machine Learning* (**ICML 2025**)
[📒 Slides](https://drive.google.com/file/d/1ndle1kcX7jKnsyVYRcS_JNwLssjqu_1n/view?usp=sharing) | [📄 OpenReview](https://openreview.net/forum?id=3xvnJS8H1v) | [💻 Code](https://github.com/listar2000/prediction-powered-adaptive-shrinkage)
**Sida Li**, Nikolaos Ignatiadis
*[AutoRA: Automated research assistant for closed-loop empirical research](https://joss.theoj.org/papers/10.21105/joss.06839.pdf)*
*Journal of Open Source Software* (2024)
Sebastian Musslick, Benjamin Andrew, Chad C Williams, **Sida Li**, Ioana Marinescu, Marina Dubova, George T Dang, Younes Strittmatter, John G Holland
*[GFN-SR: Generative Flow Networks for Symbolic Regression]({{site.baseurl}}/assets/pdf/gfn.pdf)*
*NeurIPS AI4Science* (2023)
**Sida Li**, Ioana Marinescu, Sebastian Musslick
*[Evaluating Computational Discovery in the Behavioral and Brain Sciences](http://cogsys.org/symposium/discovery-2023/abstracts/Abstract_3481.pdf)*
*AAAI Spring Symposium Series* (2023)
Sebastian Musslick, Joshua Hewson, Ben Andrew, **Sida Li**, George Dang, John Gerrard Holland
*[Amortization and Surrogate Gaps in Variational Sequential Monte Carlo]({{site.baseurl}}/assets/pdf/gap_vsmc.pdf)*
*Advanced Bayesian Methodologies Seminar* (2023)
**Sida Li**, Aaron Schein
*[Feedback Linearization of Car Dynamics for Racing viar Reinforcement Learning](https://www.arxiv.org/abs/2110.10441)*
*Arxiv* (2021)
Michael Estrada, **Sida Li**, Xiangyu Cai