Hu, Ziniu

37 publications

ICLR 2025 Optimized Multi-Token Joint Decoding with Auxiliary Model for LLM Inference Zongyue Qin, Ziniu Hu, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun

ICML 2025 QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search Zongyu Lin, Yao Tang, Xingcheng Yao, Da Yin, Ziniu Hu, Yizhou Sun, Kai-Wei Chang

ICLRW 2025 QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search Zongyu Lin, Yao Tang, Xingcheng Yao, Da Yin, Ziniu Hu, Yizhou Sun, Kai-Wei Chang

ICLR 2025 SFS: Smarter Code Space Search Improves LLM Inference Scaling Jonathan Light, Yue Wu, Yiyou Sun, Wenchao Yu, Yanchi Liu, Xujiang Zhao, Ziniu Hu, Haifeng Chen, Wei Cheng

CVPR 2025 Self-Evolving Visual Concept Library Using Vision-Language Critics Atharva Sehgal, Patrick Yuan, Ziniu Hu, Yisong Yue, Jennifer J. Sun, Swarat Chaudhuri

ICLR 2025 Strategist: Self-Improvement of LLM Decision Making via Bi-Level Tree Search Jonathan Light, Min Cai, Weiqin Chen, Guanzhi Wang, Xiusi Chen, Wei Cheng, Yisong Yue, Ziniu Hu

NeurIPS 2024 Can Large Language Model Agents Simulate Human Trust Behavior? Feiran Jia, Ziyu Ye, Shiyang Lai, Kai Shu, Jindong Gu, Adel Bibi, Ziniu Hu, David Jurgens, James Evans, Philip H.S. Torr, Bernard Ghanem, Guohao Li, Chengxing Xie, Canyu Chen

ICLRW 2024 Can Large Language Model Agents Simulate Human Trust Behaviors? Chengxing Xie, Canyu Chen, Feiran Jia, Ziyu Ye, Kai Shu, Adel Bibi, Ziniu Hu, Philip Torr, Bernard Ghanem, Guohao Li

NeurIPS 2024 Enhancing Large Vision Language Models with Self-Training on Image Comprehension Yihe Deng, Pan Lu, Fan Yin, Ziniu Hu, Sheng Shen, Quanquan Gu, James Zou, Kai-Wei Chang, Wei Wang

NeurIPSW 2024 PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making Jonathan Light, Sixue Xing, Yuanzhe Liu, Weiqin Chen, Min Cai, Xiusi Chen, Guanzhi Wang, Wei Cheng, Yisong Yue, Ziniu Hu

NeurIPS 2024 Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang

NeurIPS 2024 REST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search Dan Zhang, Sining Zhoubian, Ziniu Hu, Yisong Yue, Yuxiao Dong, Jie Tang

NeurIPSW 2024 Reasoning in Reasoning: A Hierarchical Framework for Better and Faster Neural Theorem Proving Ziyu Ye, Jiacheng Chen, Jonathan Light, Yifei Wang, Jiankai Sun, Mac Schwager, Philip Torr, Guohao Li, Yuxin Chen, Kaiyu Yang, Yisong Yue, Ziniu Hu

ICLRW 2024 SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code Ziniu Hu

ICML 2024 SceneCraft: An LLM Agent for Synthesizing 3D Scenes as Blender Code Ziniu Hu, Ahmet Iscen, Aashi Jain, Thomas Kipf, Yisong Yue, David A Ross, Cordelia Schmid, Alireza Fathi

ICML 2024 SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R Loomba, Shichang Zhang, Yizhou Sun, Wei Wang

NeurIPS 2024 SciInstruct: A Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models Dan Zhang, Ziniu Hu, Sining Zhoubian, Zhengxiao Du, Kaiyu Yang, Zihan Wang, Yisong Yue, Yuxiao Dong, Jie Tang

ICMLW 2024 Self-Control of LLM Behaviors by Compressing Suffix Gradient into Prefix Controller Min Cai, Yuchen Zhang, Shichang Zhang, Fan Yin, Difan Zou, Yisong Yue, Ziniu Hu

ICMLW 2024 Self-Control of LLM Behaviors by Compressing Suffix Gradient into Prefix Controller Min Cai, Yuchen Zhang, Shichang Zhang, Fan Yin, Difan Zou, Yisong Yue, Ziniu Hu

ICMLW 2024 Strategist: Learning Strategic Skills by LLMs via Bi-Level Tree Search Jonathan Light, Min Cai, Weiqin Chen, Guanzhi Wang, Xiusi Chen, Wei Cheng, Yisong Yue, Ziniu Hu

ICML 2024 Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion Yujia Huang, Adishree Ghatare, Yuanzhe Liu, Ziniu Hu, Qinsheng Zhang, Chandramouli Shama Sastry, Siddharth Gururani, Sageev Oore, Yisong Yue

NeurIPS 2023 AVIS: Autonomous Visual Information Seeking with Large Language Model Agent Ziniu Hu, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David A. Ross, Cordelia Schmid, Alireza Fathi

NeurIPSW 2023 AVIS: Autonomous Visual Information Seeking with Large Language Model Agent Ziniu Hu

NeurIPSW 2023 AvalonBench: Evaluating LLMs Playing the Game of Avalon Jonathan Light, Min Cai, Sheng Shen, Ziniu Hu

NeurIPS 2023 Learning to Group Auxiliary Datasets for Molecule Tinglin Huang, Ziniu Hu, Rex Ying

CVPR 2023 REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, Alireza Fathi

NeurIPSW 2023 SCIBENCH: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun Loomba, Shichang Zhang, Yizhou Sun, Wei Wang

NeurIPSW 2023 TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang

NeurIPS 2023 Towards a Comprehensive Benchmark for High-Level Synthesis Targeted to FPGAs Yunsheng Bai, Atefeh Sohrabizadeh, Zongyue Qin, Ziniu Hu, Yizhou Sun, Jason Cong

NeurIPSW 2022 Empowering Language Models with Knowledge Graph Reasoning for Question Answering Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun

AAAI 2022 Fuzzy Logic Based Logical Query Answering on Knowledge Graphs Xuelu Chen, Ziniu Hu, Yizhou Sun

NeurIPS 2022 Improving Multi-Task Generalization via Regularizing Spurious Correlation Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed Chi

NeurIPS 2022 Zero-Shot Transfer Learning Within a Heterogeneous Graph via Knowledge Transfer Networks Minji Yoon, John Palowitch, Dustin Zelle, Ziniu Hu, Ruslan Salakhutdinov, Bryan Perozzi

IJCAI 2020 Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification (Extended Abstract) Zhenpeng Chen, Sheng Shen, Ziniu Hu, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu

IJCAI 2020 Heterogeneous Network Representation Learning Yuxiao Dong, Ziniu Hu, Kuansan Wang, Yizhou Sun, Jie Tang

ICLR 2020 Improving Neural Language Generation with Spectrum Control Lingxiao Wang, Jing Huang, Kevin Huang, Ziniu Hu, Guangtao Wang, Quanquan Gu

NeurIPS 2019 Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks Difan Zou, Ziniu Hu, Yewen Wang, Song Jiang, Yizhou Sun, Quanquan Gu