Haoming Jiang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
42
Venues
9
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
42 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates. | Hy Dang, Tianyi Liu, Zhuofeng Wu, Jingfeng Yang, Haoming Jiang, Tao Yang, Pei Chen, Zhengyang Wang, Helen Wang, Huasheng Li, Bing Yin, Meng Jiang |
| 2025 | EMNLP | Can Language Models Follow Multiple Turns of Entangled Instructions? | Chi Han, Xin Liu, Haodong Wang, Shiyang Li, Jingfeng Yang, Haoming Jiang, Zhengyang Wang, Qingyu Yin, Liang Qiu, Changlong Yu, Yifan Gao, Zheng Li, Bing Yin, Jingbo Shang, Heng Ji |
| 2025 | EMNLP | DORM: Preference Data Weights Optimization for Reward Modeling in LLM Alignment. | Rongzhi Zhang, Chenwei Zhang, Xinyang Zhang, Liang Qiu, Haoming Jiang, Yuchen Zhuang, Qingru Zhang, Hyokun Yun, Xian Li, Bing Yin, Tuo Zhao, Chao Zhang |
| 2025 | ICML | Discriminative Finetuning of Generative Large Language Models without Reward Models and Human Preference Data. | Siqi Guo, Ilgee Hong, Vicente Balmaseda, Changlong Yu, Liang Qiu, Xin Liu, Haoming Jiang, Tuo Zhao, Tianbao Yang |
| 2025 | NAACL | IHEval: Evaluating Language Models on Following the Instruction Hierarchy. | Zhihan Zhang, Shiyang Li, Zixuan Zhang, Xin Liu, Haoming Jiang, Xianfeng Tang, Yifan Gao, Zheng Li, Haodong Wang, Zhaoxuan Tan, Yichuan Li, Qingyu Yin, Bing Yin, Meng Jiang |
| 2025 | NAACL | Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training. | Yuchen Zhuang, Jingfeng Yang, Haoming Jiang, Xin Liu, Kewei Cheng, Sanket Lokegaonkar, Yifan Gao, Qing Ping, Tianyi Liu, Binxuan Huang, Zheng Li, Zhengyang Wang, Pei Chen, Ruijie Wang, Rongzhi Zhang, Nasser Zalmout, Priyanka Nigam, Bing Yin, Chao Zhang |
| 2024 | EMNLP | Data Diversity Matters for Robust Instruction Tuning. | Alexander Bukharin, Shiyang Li, Zhengyang Wang, Jingfeng Yang, Bing Yin, Xian Li, Chao Zhang, Tuo Zhao, Haoming Jiang |
| 2024 | EMNLP | Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark. | Fenglin Liu, Zheng Li, Hongjian Zhou, Qingyu Yin, Jingfeng Yang, Xianfeng Tang, Chen Luo, Ming Zeng, Haoming Jiang, Yifan Gao, Priyanka Nigam, Sreyashi Nag, Bing Yin, Yining Hua, Xuan Zhou, Omid Rohanian, Anshul Thakur, Lei A. Clifton, David A. Clifton |
| 2024 | EMNLP | BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering. | Haoyu Wang, Ruirui Li, Haoming Jiang, Jinjin Tian, Zhengyang Wang, Chen Luo, Xianfeng Tang, Monica Xiao Cheng, Tuo Zhao, Jing Gao |
| 2024 | ICML | MEMORYLLM: Towards Self-Updatable Large Language Models. | Yu Wang, Yifan Gao, Xiusi Chen, Haoming Jiang, Shiyang Li, Jingfeng Yang, Qingyu Yin, Zheng Li, Xian Li, Bing Yin, Jingbo Shang, Julian J. McAuley |
| 2023 | ACL | Graph Reasoning for Question Answering with Triplet Retrieval. | Shiyang Li, Yifan Gao, Haoming Jiang, Qingyu Yin, Zheng Li, Xifeng Yan, Chao Zhang, Bing Yin |
| 2023 | ACL | Context-Aware Query Rewriting for Improving Users' Search Experience on E-commerce Websites. | Simiao Zuo, Qingyu Yin, Haoming Jiang, Shaohui Xi, Bing Yin, Chao Zhang, Tuo Zhao |
| 2023 | EMNLP | Knowledge-Selective Pretraining for Attribute Value Extraction. | Hui Liu, Qingyu Yin, Zhengyang Wang, Chenwei Zhang, Haoming Jiang, Yifan Gao, Zheng Li, Xian Li, Chao Zhang, Bing Yin, William Wang, Xiaodan Zhu |
| 2023 | ICLR | HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers. | Chen Liang, Haoming Jiang, Zheng Li, Xianfeng Tang, Bing Yin, Tuo Zhao |
| 2023 | ICML | SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process. | Zichong Li, Yanbo Xu, Simiao Zuo, Haoming Jiang, Chao Zhang, Tuo Zhao, Hongyuan Zha |
| 2023 | KDD | LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models. | Haoyu Wang, Ruirui Li, Haoming Jiang, Zhengyang Wang, Xianfeng Tang, Bin Bi, Monica Xiao Cheng, Bing Yin, Yaqing Wang, Tuo Zhao, Jing Gao |
| 2022 | ACL | Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment. | Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, Wei Wang |
| 2022 | ICLR | No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models. | Chen Liang, Haoming Jiang, Simiao Zuo, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao |
| 2022 | KDD | Condensing Graphs via One-Step Gradient Matching. | Wei Jin, Xianfeng Tang, Haoming Jiang, Zheng Li, Danqing Zhang, Jiliang Tang, Bing Yin |
| 2022 | NAACL | SEQZERO: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models. | Jingfeng Yang, Haoming Jiang, Qingyu Yin, Danqing Zhang, Bing Yin, Diyi Yang |
| 2022 | NAACL | Self-Training with Differentiable Teacher. | Simiao Zuo, Yue Yu, Chen Liang, Haoming Jiang, Siawpeng Er, Chao Zhang, Tuo Zhao, Hongyuan Zha |
| 2022 | RecSys | Query Attribute Recommendation at Amazon Search. | Chen Luo, William Headden, Neela Avudaiappan, Haoming Jiang, Tianyu Cao, Qingyu Yin, Yifan Gao, Zheng Li, Rahul Goutam, Haiyang Zhang, Bing Yin |
| 2021 | ACL | Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data. | Haoming Jiang, Danqing Zhang, Tianyu Cao, Bing Yin, Tuo Zhao |
| 2021 | ACL | Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization. | Chen Liang, Simiao Zuo, Minshuo Chen, Haoming Jiang, Xiaodong Liu, Pengcheng He, Tuo Zhao, Weizhu Chen |
| 2021 | AISTATS | Learning to Defend by Learning to Attack. | Haoming Jiang, Zhehui Chen, Yuyang Shi, Bo Dai, Tuo Zhao |
| 2021 | EMNLP | Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach. | Haoming Jiang, Bo Dai, Mengjiao Yang, Tuo Zhao, Wei Wei |
| 2021 | EMNLP | Token-wise Curriculum Learning for Neural Machine Translation. | Chen Liang, Haoming Jiang, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Tuo Zhao |
| 2021 | EMNLP | ARCH: Efficient Adversarial Regularized Training with Caching. | Simiao Zuo, Chen Liang, Haoming Jiang, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao |
| 2021 | EMNLP | Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach. | Simiao Zuo, Chen Liang, Haoming Jiang, Xiaodong Liu, Pengcheng He, Jianfeng Gao, Weizhu Chen, Tuo Zhao |
| 2021 | NAACL | Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach. | Yue Yu, Simiao Zuo, Haoming Jiang, Wendi Ren, Tuo Zhao, Chao Zhang |
| 2020 | ACL | SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization. | Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Tuo Zhao |
| 2020 | ACL | Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain Mixing. | Haoming Jiang, Chen Liang, Chong Wang, Tuo Zhao |
| 2020 | EMNLP | Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data. | Lingkai Kong, Haoming Jiang, Yuchen Zhuang, Jie Lyu, Tuo Zhao, Chao Zhang |
| 2020 | ICLR | On the Variance of the Adaptive Learning Rate and Beyond. | Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han |
| 2020 | ICML | Deep Reinforcement Learning with Robust and Smooth Policy. | Qianli Shen, Yan Li, Haoming Jiang, Zhaoran Wang, Tuo Zhao |
| 2020 | ICML | Transformer Hawkes Process. | Simiao Zuo, Haoming Jiang, Zichong Li, Tuo Zhao, Hongyuan Zha |
| 2020 | KDD | BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision. | Chen Liang, Yue Yu, Haoming Jiang, Siawpeng Er, Ruijia Wang, Tuo Zhao, Chao Zhang |
| 2019 | ICLR | Learning to Defense by Learning to Attack. | Zhehui Chen, Haoming Jiang, Yuyang Shi, Bo Dai, Tuo Zhao |
| 2019 | ICLR | On Computation and Generalization of Generative Adversarial Networks under Spectrum Control. | Haoming Jiang, Zhehui Chen, Minshuo Chen, Feng Liu, Dingding Wang, Tuo Zhao |
| 2019 | ICLR | On Scalable and Efficient Computation of Large Scale Optimal Transport. | Yujia Xie, Minshuo Chen, Haoming Jiang, Tuo Zhao, Hongyuan Zha |
| 2019 | ICML | On Scalable and Efficient Computation of Large Scale Optimal Transport. | Yujia Xie, Minshuo Chen, Haoming Jiang, Tuo Zhao, Hongyuan Zha |
| 2019 | UAI | On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don't Worry About its Nonsmooth Loss Function. | Xingguo Li, Haoming Jiang, Jarvis D. Haupt, Raman Arora, Han Liu, Mingyi Hong, Tuo Zhao |