Few-shot Relational Reasoning via Connection Subgraph Pretraining. - Qian Huang 006; Hongyu Ren; Jure Leskovec (NeurIPS, 2022)

Parsel: A Unified Natural Language Framework for Algorithmic Reasoning. - Eric Zelikman; Qian Huang 006; Gabriel Poesia; Noah D. Goodman; Nick Haber (CoRR, 2022)

Med-Flamingo: a Multimodal Medical Few-shot Learner. - Michael Moor; Qian Huang 006; Shirley Wu; Michihiro Yasunaga; Yash Dalmia; Jure Leskovec; Cyril Zakka; Eduardo Pontes Reis; Pranav Rajpurkar (ML4H@NeurIPS, 2023)

PRODIGY: Enabling In-context Learning Over Graphs. - Qian Huang 006; Hongyu Ren; Peng Chen; Gregor Krzmanc; Daniel Zeng 003; Percy Liang; Jure Leskovec (NeurIPS, 2023)

Lexinvariant Language Models. - Qian Huang 006; Eric Zelikman; Sarah Li Chen; Yuhuai Wu; Gregory Valiant; Percy Liang (NeurIPS, 2023)

Parsel🦆: Algorithmic Reasoning with Language Models by Composing Decompositions. - Eric Zelikman; Qian Huang 006; Gabriel Poesia; Noah D. Goodman; Nick Haber (NeurIPS, 2023)

Just One Byte (per gradient): A Note on Low-Bandwidth Decentralized Language Model Finetuning Using Shared Randomness. - Eric Zelikman; Qian Huang 006; Percy Liang; Nick Haber; Noah D. Goodman (CoRR, 2023)

Benchmarking Large Language Models As AI Research Agents. - Qian Huang 006; Jian Vora; Percy Liang; Jure Leskovec (CoRR, 2023)

Holistic Evaluation of Language Models. - Percy Liang; Rishi Bommasani; Tony Lee; Dimitris Tsipras; Dilara Soylu; Michihiro Yasunaga; Yian Zhang; Deepak Narayanan; Yuhuai Wu; Ananya Kumar; Benjamin Newman; Binhang Yuan; et al. (Trans. Mach. Learn. Res., 2023)

MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation. - Qian Huang 006; Jian Vora; Percy Liang; Jure Leskovec (ICML, 2024)

AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning. - Shirley Wu; Shiyu Zhao; Qian Huang 006; Kexin Huang; Michihiro Yasunaga; Kaidi Cao; Vassilis N. Ioannidis; Karthik Subbian; Jure Leskovec; James Y. Zou (NeurIPS, 2024)

STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases. - Shirley Wu; Shiyu Zhao; Michihiro Yasunaga; Kexin Huang; Kaidi Cao; Qian Huang 006; Vassilis N. Ioannidis; Karthik Subbian; James Y. Zou; Jure Leskovec (NeurIPS, 2024)

The 1st International Workshop on Graph Foundation Models (GFM). - Haitao Mao; Jianan Zhao 002; Xiaoxin He; Zhikai Chen; Qian Huang 006; Zhaocheng Zhu; Jian Tang 005; Michael M. Bronstein; Xavier Bresson; Bryan Hooi; Haiyang Zhang; Xianfeng Tang; et al. (WWW (Companion Volume), 2024)

BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments. - Yusuf H. Roohani; Jian Vora; Qian Huang 006; Zachary Steinhart; Alexander Marson; Percy Liang; Jure Leskovec (CoRR, 2024)

AvaTaR: Optimizing LLM Agents for Tool-Assisted Knowledge Retrieval. - Shirley Wu; Shiyu Zhao; Qian Huang 006; Kexin Huang; Michihiro Yasunaga; Kaidi Cao; Vassilis N. Ioannidis; Karthik Subbian; Jure Leskovec; James Zou 001 (CoRR, 2024)

BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments. - Yusuf H. Roohani; Andrew H. Lee; Qian Huang 006; Jian Vora; Zachary Steinhart; Kexin Huang; Alexander Marson; Percy Liang; Jure Leskovec (ICLR, 2025)

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. - Xuan Zhang; Limei Wang; Jacob Helwig; Youzhi Luo; Cong Fu 003; Yaochen Xie; Meng Liu 015; Yuchao Lin; Zhao Xu 005; Keqiang Yan; Keir Adams; Maurice Weiler; et al. (Found. Trends Mach. Learn., 2025)