Loka Li

According to our database, Loka Li authored at least 12 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

BioXArena: Benchmarking LLM Agents on Multi-Modal Biomedical Machine Learning Tasks.

Loka Li, Duzhen Zhang, Xingbo Du, Leonard Song, Zixiao Wang, Assanali Aukenov, Noel Thomas, Shakhnazar Sailaukan, Yonghan Yang, Feilong Chen, Jiahua Dong, Kun Zhang, Bin Zhang, Le Song

CoRR, May, 2026

2025

MemR³: Memory Retrieval via Reflective Reasoning for LLM Agents.

Xingbo Du, Loka Li, Duzhen Zhang, Le Song

CoRR, December, 2025

Characterization and Learning of Causal Graphs with Latent Confounders and Post-treatment Selection from Interventional Data.

Gongxu Luo, Loka Li, Guangyi Chen, Haoyue Dai, Kun Zhang

CoRR, September, 2025

PersonaX: Multimodal Datasets with LLM-Inferred Behavior Traits.

Loka Li, Wong Yu Kang, Minghao Fu, Guangyi Chen, Zhenhao Chen, Gongxu Luo, Yuewen Sun, Salman H. Khan, Peter Spirtes, Kun Zhang

CoRR, September, 2025

Gene Regulatory Network Inference in the Presence of Selection Bias and Latent Confounders.

Gongxu Luo, Haoyue Dai, Boyang Sun, Loka Li, Biwei Huang, Petar Stojanov, Kun Zhang

CoRR, January, 2025

Reflection-Window Decoding: Text Generation with Selective Refinement.

Zeyu Tang, Zhenhao Chen, Xiangchen Song, Loka Li, Yunlong Deng, Yifan Shen, Guangyi Chen, Peter Spirtes, Kun Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Causal Representation Learning from Multimodal Biomedical Observations.

Yuewen Sun, Lingjing Kong, Guangyi Chen, Loka Li, Gongxu Luo, Zijian Li, Yixuan Zhang, Yujia Zheng, Mengyue Yang, Petar Stojanov, Eran Segal, Eric P. Xing, Kun Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Causal Representation Learning from Multimodal Biological Observations.

Yuewen Sun, Lingjing Kong, Guangyi Chen, Loka Li, Gongxu Luo, Zijian Li, Yixuan Zhang, Yujia Zheng, Mengyue Yang, Petar Stojanov, Eran Segal, Eric P. Xing, Kun Zhang

CoRR, 2024

ψDAG: Projected Stochastic Approximation Iteration for DAG Structure Learning.

Klea Ziu, Slavomír Hanzely, Loka Li, Kun Zhang, Martin Takác, Dmitry Kamzolov

CoRR, 2024

Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models.

Loka Li, Guangyi Chen, Yusheng Su, Zhenhao Chen, Yixuan Zhang, Eric P. Xing, Kun Zhang

CoRR, 2024

On Causal Discovery in the Presence of Deterministic Relations.

Loka Li, Haoyue Dai, Hanin Al Ghothani, Biwei Huang, Jiji Zhang, Shahar Harel, Isaac Bentwich, Guangyi Chen, Kun Zhang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Federated Causal Discovery from Heterogeneous Data.

Loka Li, Ignavier Ng, Gongxu Luo, Biwei Huang, Guangyi Chen, Tongliang Liu, Bin Gu, Kun Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024