Lifu Huang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
90
Venues
22
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
90 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Endowing Vision-Language Models with System 2 Thinking for Fine-grained Visual Recognition. | Yutong Yang, Lifu Huang, Yijie Lin, Xi Peng, Mouxing Yang |
| 2026 | ACL | From Passive Metric to Active Signal: The Evolving Role of Uncertainty Quantification in Large Language Models. | Jiaxin Zhang, Wendi Cui, Zhuohang Li, Lifu Huang, Bradley A. Malin, Caiming Xiong, Chien-Sheng Wu |
| 2026 | CHI | From Vulnerable to Resilient: Examining Parent and Teen Perceptions on How to Respond to Unwanted Cybergrooming Advances. | Xinyi Zhang, Mamtaj Akter, Heajun An, Minqian Liu, Qi Zhang, Lifu Huang, Jin-Hee Cho, Pamela J. Wisniewski, Sang Won Lee |
| 2026 | SIGdial | StagePilot: Stage-Level Planning for Long-Horizon Dialogue Simulation in Cybergrooming. | Heajun An, Qi Zhang, Minqian Liu, Xinyi Zhang, Sang Won Lee, Lifu Huang, Pamela J. Wisniewski, Jin-Hee Cho |
| 2025 | ACL | LLM Braces: Straightening Out LLM Predictions with Relevant Sub-Updates. | Ying Shen, Lifu Huang |
| 2025 | ACL | Inference Compute-Optimal Video Vision Language Models. | Peiqi Wang, Shengyun Peng, Xuewen Zhang, Hanchao Yu, Yibo Yang, Lifu Huang, Fujun Liu, Qifan Wang |
| 2025 | ACL | Error-driven Data-efficient Large Multimodal Model Tuning. | Barry Menglong Yao, Qifan Wang, Lifu Huang |
| 2025 | EMNLP | Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories. | Mohammad Beigi, Ying Shen, Parshin Shojaee, Qifan Wang, Zichao Wang, Chandan K. Reddy, Ming Jin, Lifu Huang |
| 2025 | EMNLP | R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation. | Kaijie Chen, Zihao Lin, Zhiyang Xu, Ying Shen, Yuguang Yao, Joy Rimchala, Jiaxin Zhang, Lifu Huang |
| 2025 | EMNLP | Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models. | Haibo Wang, Zhiyang Xu, Yu Cheng, Shizhe Diao, Yufan Zhou, Yixin Cao, Qifan Wang, Weifeng Ge, Lifu Huang |
| 2025 | EMNLP | MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper. | Runjia Zeng, Guangyan Sun, Qifan Wang, Tong Geng, Sohail A. Dianat, Xiaotian Han, Raghuveer Rao, Xueling Zhang, Cheng Han, Lifu Huang, Dongfang Liu |
| 2025 | ICLR | Re-Imagining Multimodal Instruction Tuning: A Representation View. | Yiyang Liu, James Chenhao Liang, Ruixiang Tang, Yugyung Lee, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Lifu Huang, Dongfang Liu, Qifan Wang, Cheng Han |
| 2025 | ICLR | SPARTUN3D: Situated Spatial Understanding of 3D World in Large Language Model. | Yue Zhang, Zhiyang Xu, Ying Shen, Parisa Kordjamshidi, Lifu Huang |
| 2025 | ICLR | Modality-Specialized Synergizers for Interleaved Vision-Language Generalists. | Zhiyang Xu, Minqian Liu, Ying Shen, Joy Rimchala, Jiaxin Zhang, Qifan Wang, Yu Cheng, Lifu Huang |
| 2025 | ICML | AAAR-1.0: Assessing AI's Potential to Assist Research. | Renze Lou, Hanzi Xu, Sijia Wang, Jiangshu Du, Ryo Kamoi, Xiaoxin Lu, Jian Xie, Yuxuan Sun, Yusen Zhang, Jihyun Janice Ahn, Hongchao Fang, Zhuoyang Zou, Wenchao Ma, Xi Li, Kai Zhang, Congying Xia, Lifu Huang, Wenpeng Yin |
| 2025 | ICML | LLMs Can Reason Faster Only If We Let Them. | Bilgehan Sel, Lifu Huang, Naren Ramakrishnan, Ruoxi Jia, Ming Jin |
| 2025 | KDD | MetamatBench: Integrating Heterogeneous Data, Computational Tools, and Visual Interface for Metamaterial Discovery. | Jianpeng Chen, Wangzhi Zhan, Haohui Wang, Zian Jia, Jingru Gan, Junkai Zhang, Jingyuan Qi, Tingwei Chen, Lifu Huang, Muhao Chen, Ling Li, Wei Wang, Dawei Zhou |
| 2025 | NAACL | Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents. | Zihao Lin, Zichao Wang, Yuanting Pan, Varun Manjunatha, Ryan A. Rossi, Angela Lau, Lifu Huang, Tong Sun |
| 2025 | NAACL | DiPT: Enhancing LLM Reasoning through Diversified Perspective-Taking. | Hoang Anh Just, Mahavir Dabas, Lifu Huang, Ming Jin, Ruoxi Jia |
| 2025 | NAACL | UniHGKR: Unified Instruction-aware Heterogeneous Knowledge Retrievers. | Dehai Min, Zhiyang Xu, Guilin Qi, Lifu Huang, Chenyu You |
| 2025 | NAACL | MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design. | Jingyuan Qi, Zian Jia, Minqian Liu, Wangzhi Zhan, Junkai Zhang, Xiaofei Wen, Jingru Gan, Jianpeng Chen, Qin Liu, Mingyu Derek Ma, Bangzheng Li, Haohui Wang, Adithya Kulkarni, Muhao Chen, Dawei Zhou, Ling Li, Wei Wang, Lifu Huang |
| 2025 | WWW | Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation. | Lifu Huang, Danai Koutra, Adithya Kulkarni, Temiloluwa Prioleau, Qingyun Wu, Yujun Yan, Yaoqing Yang, James Zou, Dawei Zhou |
| 2025 | WACV | Advancing Chart Question Answering with Robust Chart Component Recognition. | Hanwen Zheng, Sijia Wang, Chris Thomas, Lifu Huang |
| 2024 | AAAI | MULTISCRIPT: Multimodal Script Learning for Supporting Open Domain Everyday Tasks. | Jingyuan Qi, Minqian Liu, Ying Shen, Zhiyang Xu, Lifu Huang |
| 2024 | ACL | Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models. | Zihao Lin, Mohammad Beigi, Hongxuan Li, Yufan Zhou, Yuxiang Zhang, Qifan Wang, Wenpeng Yin, Lifu Huang |
| 2024 | ACL | Multimodal Instruction Tuning with Conditional Mixture of LoRA. | Ying Shen, Zhiyang Xu, Qifan Wang, Yu Cheng, Wenpeng Yin, Lifu Huang |
| 2024 | ACL | X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification. | Hanzi Xu, Muhao Chen, Lifu Huang, Slobodan Vucetic, Wenpeng Yin |
| 2024 | ACL | Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning. | Zhiyang Xu, Chao Feng, Rulin Shao, Trevor Ashby, Ying Shen, Di Jin, Yu Cheng, Qifan Wang, Lifu Huang |
| 2024 | EACL | Ameli: Enhancing Multimodal Entity Linking with Fine-Grained Attributes. | Barry Menglong Yao, Sijia Wang, Yu Chen, Qifan Wang, Minqian Liu, Zhiyang Xu, Licheng Yu, Lifu Huang |
| 2024 | ECCV | AMD: Automatic Multi-step Distillation of Large-Scale Vision Models. | Cheng Han, Qifan Wang, Sohail A. Dianat, Majid Rabbani, Raghuveer M. Rao, Yi Fang, Qiang Guan, Lifu Huang, Dongfang Liu |
| 2024 | EMNLP | InternalInspector I²: Robust Confidence Estimation in LLMs through Internal States. | Mohammad Beigi, Ying Shen, Runing Yang, Zihao Lin, Qifan Wang, Ankith Mohan, Jianfeng He, Ming Jin, Chang-Tien Lu, Lifu Huang |
| 2024 | EMNLP | DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models. | Yiming Huang, Jianwen Luo, Yan Yu, Yitong Zhang, Fangyu Lei, Yifan Wei, Shizhu He, Lifu Huang, Xiao Liu, Jun Zhao, Kang Liu |
| 2024 | EMNLP | Holistic Evaluation for Interleaved Text-and-Image Generation. | Minqian Liu, Zhiyang Xu, Zihao Lin, Trevor Ashby, Joy Rimchala, Jiaxin Zhang, Lifu Huang |
| 2024 | EMNLP | Debate as Optimization: Adaptive Conformal Prediction and Diverse Retrieval for Event Extraction. | Sijia Wang, Lifu Huang |
| 2024 | EMNLP | M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning. | Taowen Wang, Yiyang Liu, James Liang, Junhan Zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu |
| 2024 | EMNLP | EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction. | Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu |
| 2024 | ICLR | Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning? | Cheng Han, Qifan Wang, Yiming Cui, Wenguan Wang, Lifu Huang, Siyuan Qi, Dongfang Liu |
| 2024 | ICML | Position: TrustLLM: Trustworthiness in Large Language Models. | Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao |
| 2024 | INLG | Towards Effective Long Conversation Generation with Dynamic Topic Tracking and Recommendation. | Trevor Ashby, Adithya Kulkarni, Jingyuan Qi, Minqian Liu, Eunah Cho, Vaibhav Kumar, Lifu Huang |
| 2024 | NAACL | X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects. | Minqian Liu, Ying Shen, Zhiyang Xu, Yixin Cao, Eunah Cho, Vaibhav Kumar, Reza Ghanadan, Lifu Huang |
| 2024 | NAACL | RE²: Region-Aware Relation Extraction from Visually Rich Documents. | Pritika Ramu, Sijia Wang, Lalla Mouatadid, Joy Rimchala, Lifu Huang |
| 2024 | NAACL | Targeted Augmentation for Low-Resource Event Extraction. | Sijia Wang, Lifu Huang |
| 2023 | ACL | Multimedia Generative Script Learning for Task Planning. | Qingyun Wang, Manling Li, Hou Pong Chan, Lifu Huang, Julia Hockenmaier, Girish Chowdhary, Heng Ji |
| 2023 | ACL | Teamwork Is Not Always Good: An Empirical Study of Classifier Drift in Class-incremental Information Extraction. | Minqian Liu, Lifu Huang |
| 2023 | ACL | The Art of Prompting: Event Detection based on Type Specific Prompts. | Sijia Wang, Mo Yu, Lifu Huang |
| 2023 | ACL | Learning from a Friend: Improving Event Extraction via Self-Training with Feedback from Abstract Meaning Representation. | Zhiyang Xu, Jay Yoon Lee, Lifu Huang |
| 2023 | ACL | MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning. | Zhiyang Xu, Ying Shen, Lifu Huang |
| 2023 | EMNLP | RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training. | Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa |
| 2023 | EMNLP | The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models. | Jingyuan Qi, Zhiyang Xu, Ying Shen, Minqian Liu, Di Jin, Qifan Wang, Lifu Huang |
| 2023 | EMNLP | APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models. | Qifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie, Sinong Wang, Fuli Feng, Lifu Huang, Xiaojun Quan, Zenglin Xu, Dongfang Liu |
| 2023 | ICTAI | Authentic Dialogue Generation to Improve Youth's Awareness of Cybergrooming for Online Safety. | Zhen Guo, Pei Wang, Lifu Huang, Jin-Hee Cho |
| 2023 | WWW | Text Mining-based Social-Psychological Vulnerability Analysis of Potential Victims To Cybergrooming: Insights and Lessons Learned. | Zhen Guo, Pei Wang, Jin-Hee Cho, Lifu Huang |
| 2023 | SIGIR | Understand the Dynamic World: An End-to-End Knowledge Informed Framework for Open Domain Entity State Tracking. | Mingchen Li, Lifu Huang |
| 2023 | SIGIR | End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models. | Barry Menglong Yao, Aditya Shah, Lichao Sun, Jin-Hee Cho, Lifu Huang |
| 2022 | AAAI | MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding. | Revanth Gangi Reddy, Xilin Rui, Manling Li, Xudong Lin, Haoyang Wen, Jaemin Cho, Lifu Huang, Mohit Bansal, Avirup Sil, Shih-Fu Chang, Alexander G. Schwing, Heng Ji |
| 2022 | ACL | PLANET: Dynamic Content Planning in Autoregressive Transformers for Long-form Text Generation. | Zhe Hu, Hou Pong Chan, Jiachen Liu, Xinyan Xiao, Hua Wu, Lifu Huang |
| 2022 | ACL | Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding. | Sijia Wang, Mo Yu, Shiyu Chang, Lichao Sun, Lifu Huang |
| 2022 | COLING | Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection. | Minqian Liu, Shiyu Chang, Lifu Huang |
| 2022 | EMNLP | MOCHA: A Multi-Task Training Approach for Coherent Text Generation from Cognitive Perspective. | Zhe Hu, Hou Pong Chan, Lifu Huang |
| 2022 | EMNLP | Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation. | Kai Zhang, Yu Wang, Hongyi Wang, Lifu Huang, Carl Yang, Xun Chen, Lichao Sun |
| 2022 | NAACL | Extracting Temporal Event Relation with Syntax-guided Graph Transformer. | Shuaicheng Zhang, Qiang Ning, Lifu Huang |
| 2022 | SIGIR | What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation. | Li Lin, Yixin Cao, Lifu Huang, Shu'ang Li, Xuming Hu, Lijie Wen, Jianmin Wang |
| 2021 | ACL | How Knowledge Graph and Attention Help? A Qualitative Analysis into Bag-level Relation Extraction. | Zikun Hu, Yixin Cao, Lifu Huang, Tat-Seng Chua |
| 2021 | EMNLP | The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Prediction. | Manling Li, Sha Li, Zhenhailong Wang, Lifu Huang, Kyunghyun Cho, Heng Ji, Jiawei Han, Clare R. Voss |
| 2020 | EMNLP | Semi-supervised New Event Type Induction and Event Detection. | Lifu Huang, Heng Ji |
| 2020 | INLG | ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis. | Qingyun Wang, Qi Zeng, Lifu Huang, Kevin Knight, Heng Ji, Nazneen Fatema Rajani |
| 2019 | ACL | PaperRobot: Incremental Draft Generation of Scientific Ideas. | Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal, Yi Luan |
| 2019 | EMNLP | Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning. | Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi |
| 2019 | NAACL | Cross-lingual Multi-Level Adversarial Transfer to Enhance Low-Resource Name Tagging. | Lifu Huang, Heng Ji, Jonathan May |
| 2019 | NAACL | Biomedical Event Extraction based on Knowledge-driven Tree-LSTM. | Diya Li, Lifu Huang, Heng Ji, Jiawei Han |
| 2018 | ACL | Zero-Shot Transfer Learning for Event Extraction. | Lifu Huang, Heng Ji, Kyunghyun Cho, Ido Dagan, Sebastian Riedel, Clare R. Voss |
| 2018 | ACL | Paper Abstract Writing through Editing Mechanism. | Qingyun Wang, Zhihao Zhou, Lifu Huang, Spencer Whitehead, Boliang Zhang, Heng Ji, Kevin Knight |
| 2018 | CIKM | Open-Schema Event Profiling for Massive News Corpora. | Quan Yuan, Xiang Ren, Wenqi He, Chao Zhang, Xinhe Geng, Lifu Huang, Heng Ji, Chin-Yew Lin, Jiawei Han |
| 2018 | CoNLL | Global Attention for Name Tagging. | Boliang Zhang, Spencer Whitehead, Lifu Huang, Heng Ji |
| 2018 | EMNLP | Multi-lingual Common Semantic Space Construction via Cluster-Consistent Word Embedding. | Lifu Huang, Kyunghyun Cho, Boliang Zhang, Heng Ji, Kevin Knight |
| 2018 | EMNLP | Entity-aware Image Caption Generation. | Di Lu, Spencer Whitehead, Lifu Huang, Heng Ji, Shih-Fu Chang |
| 2018 | EMNLP | Genre Separation Network with Adversarial Training for Cross-genre Relation Extraction. | Ge Shi, Chong Feng, Lifu Huang, Boliang Zhang, Heng Ji, Lejian Liao, Heyan Huang |
| 2018 | INLG | Describing a Knowledge Base. | Qingyun Wang, Xiaoman Pan, Lifu Huang, Boliang Zhang, Zhiying Jiang, Heng Ji, Kevin Knight |
| 2018 | NAACL | Tracking State Changes in Procedural Text: a Challenge Dataset and Models for Process Paragraph Comprehension. | Bhavana Dalvi, Lifu Huang, Niket Tandon, Wen-tau Yih, Peter Clark |
| 2017 | ACL | Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding. | Yixin Cao, Lifu Huang, Heng Ji, Xu Chen, Juanzi Li |
| 2017 | EMNLP | Improving Slot Filling Performance with Attentive Neural Networks on Dependency Structures. | Lifu Huang, Avirup Sil, Heng Ji, Radu Florian |
| 2017 | ICDCS | Expertise-Aware Truth Analysis and Task Allocation in Mobile Crowdsourcing. | Xiaomei Zhang, Yibo Wu, Lifu Huang, Heng Ji, Guohong Cao |
| 2017 | IJCNLP | Open Relation Extraction and Grounding. | Dian Yu, Lifu Huang, Heng Ji |
| 2016 | ACL | A Language-Independent Neural Network for Event Detection. | Xiaocheng Feng, Lifu Huang, Duyu Tang, Heng Ji, Bing Qin, Ting Liu |
| 2016 | ACL | Liberal Event Extraction and Event Schema Induction. | Lifu Huang, Taylor Cassidy, Xiaocheng Feng, Heng Ji, Clare R. Voss, Jiawei Han, Avirup Sil |
| 2016 | EMNLP | AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding. | Xiang Ren, Wenqi He, Meng Qu, Lifu Huang, Heng Ji, Jiawei Han |
| 2015 | ICA3PP | Memory-Aware NoC Application Mapping Based on Adaptive Genetic Algorithm. | Yizhuo Wang, Zhibiao Zhang, Lifu Huang, Weixing Ji |
| 2014 | COLING | Generating Supplementary Travel Guides from Social Media. | Liu Yang, Jing Jiang, Lifu Huang, Minghui Qiu, Lizi Liao |
| 2013 | EMNLP | Optimized Event Storyline Generation based on Mixture-Event-Aspect Model. | Lifu Huang, Lian'en Huang |
| 2012 | COLING | RelationListwise for Query-Focused Multi-Document Summarization. | Wenpeng Yin, Lifu Huang, Yulong Pei, Lian'en Huang |