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2020 – today
- 2024
[j4]Yixin Wang
, Zihao Lin, Zhe Xu, Haoyu Dong, Jie Luo, Jiang Tian, Zhongchao Shi, Lifu Huang, Yang Zhang, Jianping Fan, Zhiqiang He:
Trust it or not: Confidence-guided automatic radiology report generation. Neurocomputing 578: 127374 (2024)- [c67]Jingyuan Qi, Minqian Liu, Ying Shen, Zhiyang Xu, Lifu Huang:
MULTISCRIPT: Multimodal Script Learning for Supporting Open Domain Everyday Tasks. AAAI 2024: 18888-18896 - [c66]Ying Shen, Zhiyang Xu, Qifan Wang, Yu Cheng, Wenpeng Yin, Lifu Huang:
Multimodal Instruction Tuning with Conditional Mixture of LoRA. ACL (1) 2024: 637-648 - [c65]Hanzi Xu, Muhao Chen, Lifu Huang, Slobodan Vucetic, Wenpeng Yin:
X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification. ACL (Findings) 2024: 4652-4665 - [c64]Zihao Lin, Mohammad Beigi, Hongxuan Li, Yufan Zhou, Yuxiang Zhang, Qifan Wang, Wenpeng Yin, Lifu Huang:
Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models. ACL (1) 2024: 13755-13772 - [c63]Zhiyang Xu, Chao Feng, Rulin Shao, Trevor Ashby, Ying Shen, Di Jin, Yu Cheng, Qifan Wang, Lifu Huang:
Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning. ACL (Findings) 2024: 15271-15342 - [c62]Barry Menglong Yao, Sijia Wang, Yu Chen, Qifan Wang, Minqian Liu, Zhiyang Xu, Licheng Yu, Lifu Huang:
Ameli: Enhancing Multimodal Entity Linking with Fine-Grained Attributes. EACL (1) 2024: 2816-2834 - [c61]Cheng Han, Qifan Wang, Yiming Cui, Wenguan Wang, Lifu Huang, Siyuan Qi, Dongfang Liu:
Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning? ICLR 2024 - [c60]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:
Position: TrustLLM: Trustworthiness in Large Language Models. ICML 2024 - [c59]Trevor Ashby, Adithya Kulkarni, Jingyuan Qi, Minqian Liu, Eunah Cho, Vaibhav Kumar, Lifu Huang:
Towards Effective Long Conversation Generation with Dynamic Topic Tracking and Recommendation. INLG 2024: 540-556 - [c58]Sijia Wang, Lifu Huang:
Targeted Augmentation for Low-Resource Event Extraction. NAACL-HLT (Findings) 2024: 4414-4428 - [c57]Minqian Liu, Ying Shen, Zhiyang Xu, Yixin Cao, Eunah Cho, Vaibhav Kumar, Reza Ghanadan, Lifu Huang:
X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects. NAACL-HLT 2024: 8560-8579 - [c56]Pritika Ramu, Sijia Wang, Lalla Mouatadid, Joy Rimchala, Lifu Huang:
RE²: Region-Aware Relation Extraction from Visually Rich Documents. NAACL-HLT 2024: 8731-8747 - [i68]Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, 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, 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, Yue Zhao:
TrustLLM: Trustworthiness in Large Language Models. CoRR abs/2401.05561 (2024) - [i67]Cheng Han, Qifan Wang, Yiming Cui, Wenguan Wang, Lifu Huang, Siyuan Qi, Dongfang Liu:
Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning? CoRR abs/2401.12902 (2024) - [i66]Zihao Lin, Mohammad Beigi, Hongxuan Li, Yufan Zhou, Yuxiang Zhang, Qifan Wang, Wenpeng Yin, Lifu Huang:
Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models. CoRR abs/2402.11122 (2024) - [i65]Zhiyang Xu, Chao Feng, Rulin Shao, Trevor Ashby, Ying Shen, Di Jin, Yu Cheng, Qifan Wang, Lifu Huang:
Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning. CoRR abs/2402.11690 (2024) - [i64]Ying Shen, Zhiyang Xu, Qifan Wang, Yu Cheng, Wenpeng Yin, Lifu Huang:
Multimodal Instruction Tuning with Conditional Mixture of LoRA. CoRR abs/2402.15896 (2024) - [i63]Hanzi Xu, Muhao Chen, Lifu Huang, Slobodan Vucetic, Wenpeng Yin:
X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification. CoRR abs/2403.03863 (2024) - [i62]Ying Shen, Yizhe Zhang, Shuangfei Zhai, Lifu Huang, Joshua M. Susskind, Jiatao Gu:
Many-to-many Image Generation with Auto-regressive Diffusion Models. CoRR abs/2404.03109 (2024) - [i61]Sijia Wang, Lifu Huang:
Targeted Augmentation for Low-Resource Event Extraction. CoRR abs/2405.08729 (2024) - [i60]Xinyi Zhang, Pamela J. Wisniewski, Jin-Hee Cho, Lifu Huang, Sang Won Lee:
Generating A Crowdsourced Conversation Dataset to Combat Cybergrooming. CoRR abs/2405.13154 (2024) - [i59]Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu:
EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction. CoRR abs/2406.06839 (2024) - [i58]Mohammad Beigi, Ying Shen, Runing Yang, Zihao Lin, Qifan Wang, Ankith Mohan, Jianfeng He, Ming Jin, Chang-Tien Lu, Lifu Huang:
InternalInspector I2: Robust Confidence Estimation in LLMs through Internal States. CoRR abs/2406.12053 (2024) - [i57]Sijia Wang, Lifu Huang:
Debate as Optimization: Adaptive Conformal Prediction and Diverse Retrieval for Event Extraction. CoRR abs/2406.12197 (2024) - [i56]Minqian Liu, Zhiyang Xu, Zihao Lin, Trevor Ashby, Joy Rimchala, Jiaxin Zhang, Lifu Huang:
Holistic Evaluation for Interleaved Text-and-Image Generation. CoRR abs/2406.14643 (2024) - [i55]Zhiyang Xu, Minqian Liu, Ying Shen, Joy Rimchala, Jiaxin Zhang, Qifan Wang, Yu Cheng, Lifu Huang:
Lateralization LoRA: Interleaved Instruction Tuning with Modality-Specialized Adaptations. CoRR abs/2407.03604 (2024) - [i54]Cheng Han, Qifan Wang, Sohail A. Dianat, Majid Rabbani, Raghuveer M. Rao, Yi Fang, Qiang Guan, Lifu Huang, Dongfang Liu:
AMD: Automatic Multi-step Distillation of Large-scale Vision Models. CoRR abs/2407.04208 (2024) - [i53]Hossein Naderi, Alireza Shojaei, Lifu Huang:
Foundation Models for Autonomous Robots in Unstructured Environments. CoRR abs/2407.14296 (2024) - [i52]Hanwen Zheng, Sijia Wang, Chris Thomas, Lifu Huang:
Advancing Chart Question Answering with Robust Chart Component Recognition. CoRR abs/2407.21038 (2024) - [i51]Hoang Anh Just, Mahavir Dabas, Lifu Huang, Ming Jin, Ruoxi Jia:
DiPT: Enhancing LLM reasoning through diversified perspective-taking. CoRR abs/2409.06241 (2024) - 2023
- [j3]Sai Gurrapu, Ajay Kulkarni, Lifu Huang, Ismini Lourentzou, Feras A. Batarseh:
Rationalization for explainable NLP: a survey. Frontiers Artif. Intell. 6 (2023) - [c55]Qingyun Wang, Manling Li, Hou Pong Chan, Lifu Huang, Julia Hockenmaier, Girish Chowdhary, Heng Ji:
Multimedia Generative Script Learning for Task Planning. ACL (Findings) 2023: 986-1008 - [c54]Sijia Wang, Mo Yu, Lifu Huang:
The Art of Prompting: Event Detection based on Type Specific Prompts. ACL (2) 2023: 1286-1299 - [c53]Minqian Liu, Lifu Huang:
Teamwork Is Not Always Good: An Empirical Study of Classifier Drift in Class-incremental Information Extraction. ACL (Findings) 2023: 2241-2257 - [c52]Zhiyang Xu, Jay Yoon Lee, Lifu Huang:
Learning from a Friend: Improving Event Extraction via Self-Training with Feedback from Abstract Meaning Representation. ACL (Findings) 2023: 10421-10437 - [c51]Zhiyang Xu, Ying Shen, Lifu Huang:
MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning. ACL (1) 2023: 11445-11465 - [c50]Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa:
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training. EMNLP (Findings) 2023: 3412-3444 - [c49]Jingyuan Qi, Zhiyang Xu, Ying Shen, Minqian Liu, Di Jin, Qifan Wang, Lifu Huang:
The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models. EMNLP 2023: 4177-4199 - [c48]Qifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie, Sinong Wang, Fuli Feng, Lifu Huang, Xiaojun Quan, Zenglin Xu, Dongfang Liu:
APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models. EMNLP 2023: 9147-9160 - [c47]Zhen Guo, Pei Wang, Lifu Huang, Jin-Hee Cho:
Authentic Dialogue Generation to Improve Youth's Awareness of Cybergrooming for Online Safety. ICTAI 2023: 64-69 - [c46]Mingchen Li, Lifu Huang:
Understand the Dynamic World: An End-to-End Knowledge Informed Framework for Open Domain Entity State Tracking. SIGIR 2023: 842-851 - [c45]Barry Menglong Yao, Aditya Shah, Lichao Sun, Jin-Hee Cho, Lifu Huang:
End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models. SIGIR 2023: 2733-2743 - [c44]Aditya Shah, Surendrabikram Thapa, Aneesh Jain, Lifu Huang:
ADEPT: Adapter-based Efficient Prompt Tuning Approach for Language Models. SustaiNLP 2023: 121-128 - [c43]Zhen Guo, Pei Wang, Jin-Hee Cho, Lifu Huang:
Text Mining-based Social-Psychological Vulnerability Analysis of Potential Victims To Cybergrooming: Insights and Lessons Learned. WWW (Companion Volume) 2023: 1381-1388 - [i50]Sai Gurrapu, Ajay Kulkarni, Lifu Huang, Ismini Lourentzou, Laura J. Freeman, Feras A. Batarseh:
Rationalization for Explainable NLP: A Survey. CoRR abs/2301.08912 (2023) - [i49]Sai Gurrapu, Lifu Huang, Feras A. Batarseh:
ExClaim: Explainable Neural Claim Verification Using Rationalization. CoRR abs/2301.08914 (2023) - [i48]Mingchen Li, Lifu Huang:
Understand the Dynamic World: An End-to-End Knowledge Informed Framework for Open Domain Entity State Tracking. CoRR abs/2304.13854 (2023) - [i47]Pritika Ramu, Sijia Wang, Lalla Mouatadid, Joy Rimchala, Lifu Huang:
RE2: Region-Aware Relation Extraction from Visually Rich Documents. CoRR abs/2305.14590 (2023) - [i46]Xiaochu Li, Minqian Liu, Zhiyang Xu, Lifu Huang:
Iteratively Improving Biomedical Entity Linking and Event Extraction via Hard Expectation-Maximization. CoRR abs/2305.14645 (2023) - [i45]Barry Menglong Yao, Yu Chen, Qifan Wang, Sijia Wang, Minqian Liu, Zhiyang Xu, Licheng Yu, Lifu Huang:
AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributes. CoRR abs/2305.14725 (2023) - [i44]Jingyuan Qi, Zhiyang Xu, Ying Shen, Minqian Liu, Di Jin, Qifan Wang, Lifu Huang:
The Art of SOCRATIC QUESTIONING: Zero-shot Multimodal Reasoning with Recursive Thinking and Self-Questioning. CoRR abs/2305.14999 (2023) - [i43]Minqian Liu, Lifu Huang:
Teamwork Is Not Always Good: An Empirical Study of Classifier Drift in Class-incremental Information Extraction. CoRR abs/2305.16559 (2023) - [i42]Hanwen Zheng, Sijia Wang, Lifu Huang:
A Survey of Document-Level Information Extraction. CoRR abs/2309.13249 (2023) - [i41]Zihao Lin, Yan Sun, Yifan Shi, Xueqian Wang, Lifu Huang, Li Shen, Dacheng Tao:
Efficient Federated Prompt Tuning for Black-box Large Pre-trained Models. CoRR abs/2310.03123 (2023) - [i40]Jingyuan Qi, Minqian Liu, Ying Shen, Zhiyang Xu, Lifu Huang:
MULTISCRIPT: Multimodal Script Learning for Supporting Open Domain Everyday Tasks. CoRR abs/2310.04965 (2023) - [i39]Minqian Liu, Ying Shen, Zhiyang Xu, Yixin Cao, Eunah Cho, Vaibhav Kumar, Reza Ghanadan, Lifu Huang:
X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects. CoRR abs/2311.08788 (2023) - [i38]Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa:
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training. CoRR abs/2312.04032 (2023) - 2022
- [c42]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:
MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding. AAAI 2022: 11200-11208 - [c41]Sijia Wang, Mo Yu, Shiyu Chang, Lichao Sun, Lifu Huang:
Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding. ACL (Findings) 2022: 169-182 - [c40]Zhe Hu, Hou Pong Chan, Jiachen Liu, Xinyan Xiao, Hua Wu, Lifu Huang:
PLANET: Dynamic Content Planning in Autoregressive Transformers for Long-form Text Generation. ACL (1) 2022: 2288-2305 - [c39]Sidhant Chandak, Liqing Zhang, Connor L. Brown, Lifu Huang:
Towards Automatic Curation of Antibiotic Resistance Genes via Statement Extraction from Scientific Papers: A Benchmark Dataset and Models. BioNLP@ACL 2022: 402-411 - [c38]Minqian Liu, Shiyu Chang, Lifu Huang:
Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection. COLING 2022: 2157-2165 - [c37]Kai Zhang, Yu Wang, Hongyi Wang, Lifu Huang, Carl Yang, Xun Chen, Lichao Sun:
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation. EMNLP (Findings) 2022: 613-621 - [c36]Zhe Hu, Hou Pong Chan, Lifu Huang:
MOCHA: A Multi-Task Training Approach for Coherent Text Generation from Cognitive Perspective. EMNLP 2022: 10324-10334 - [c35]Shuaicheng Zhang, Qiang Ning, Lifu Huang:
Extracting Temporal Event Relation with Syntax-guided Graph Transformer. NAACL-HLT (Findings) 2022: 379-390 - [c34]Li Lin, Yixin Cao, Lifu Huang, Shu'ang Li, Xuming Hu, Lijie Wen, Jianmin Wang:
What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation. SIGIR 2022: 1098-1109 - [i37]Li Lin, Yixin Cao, Lifu Huang, Shu'ang Li, Xuming Hu, Lijie Wen, Jianmin Wang:
Inferring Commonsense Explanations as Prompts for Future Event Generation. CoRR abs/2201.07099 (2022) - [i36]Xiangyang Mou, Mo Yu, Bingsheng Yao, Lifu Huang:
Efficient Long Sequence Encoding via Synchronization. CoRR abs/2203.07644 (2022) - [i35]Zhe Hu, Hou Pong Chan, Jiachen Liu, Xinyan Xiao, Hua Wu, Lifu Huang:
PLANET: Dynamic Content Planning in Autoregressive Transformers for Long-form Text Generation. CoRR abs/2203.09100 (2022) - [i34]Kai Zhang, Yu Wang, Hongyi Wang, Lifu Huang, Carl Yang, Lichao Sun:
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation. CoRR abs/2203.09553 (2022) - [i33]Sijia Wang, Mo Yu, Lifu Huang:
The Art of Prompting: Event Detection based on Type Specific Prompts. CoRR abs/2204.07241 (2022) - [i32]Minqian Liu, Shiyu Chang, Lifu Huang:
Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection. CoRR abs/2204.07275 (2022) - [i31]Apoorv Garg, Deval Srivastava, Zhiyang Xu, Lifu Huang:
Identifying and Measuring Token-Level Sentiment Bias in Pre-trained Language Models with Prompts. CoRR abs/2204.07289 (2022) - [i30]Zijian Jin, Xingyu Zhang, Mo Yu, Lifu Huang:
Probing Script Knowledge from Pre-Trained Models. CoRR abs/2204.10176 (2022) - [i29]Barry Menglong Yao, Aditya Shah, Lichao Sun, Jin-Hee Cho, Lifu Huang:
End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models. CoRR abs/2205.12487 (2022) - [i28]Zhiyang Xu, Lifu Huang:
Improve Event Extraction via Self-Training with Gradient Guidance. CoRR abs/2205.12490 (2022) - [i27]Qingyun Wang, Manling Li, Hou Pong Chan, Lifu Huang, Julia Hockenmaier, Girish Chowdhary, Heng Ji:
Multimedia Generative Script Learning for Task Planning. CoRR abs/2208.12306 (2022) - [i26]Zhe Hu, Hou Pong Chan, Lifu Huang:
MOCHA: A Multi-Task Training Approach for Coherent Text Generation from Cognitive Perspective. CoRR abs/2210.14650 (2022) - [i25]Zhiyang Xu, Ying Shen, Lifu Huang:
MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning. CoRR abs/2212.10773 (2022) - 2021
- [j2]Xiaomei Zhang, Yibo Wu, Lifu Huang, Heng Ji, Guohong Cao:
Expertise-Aware Truth Analysis and Task Allocation in Mobile Crowdsourcing. IEEE Trans. Mob. Comput. 20(3): 1001-1016 (2021) - [c33]Zikun Hu, Yixin Cao, Lifu Huang, Tat-Seng Chua:
How Knowledge Graph and Attention Help? A Qualitative Analysis into Bag-level Relation Extraction. ACL/IJCNLP (1) 2021: 4662-4671 - [c32]Manling Li, Sha Li, Zhenhailong Wang, Lifu Huang, Kyunghyun Cho, Heng Ji, Jiawei Han, Clare R. Voss:
The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Prediction. EMNLP (1) 2021: 5203-5215 - [i24]Manling Li, Sha Li, Zhenhailong Wang, Lifu Huang, Kyunghyun Cho, Heng Ji, Jiawei Han, Clare R. Voss:
Future is not One-dimensional: Graph Modeling based Complex Event Schema Induction for Event Prediction. CoRR abs/2104.06344 (2021) - [i23]Shuaicheng Zhang, Lifu Huang, Qiang Ning:
Extracting Temporal Event Relation with Syntactic-Guided Temporal Graph Transformer. CoRR abs/2104.09570 (2021) - [i22]Zikun Hu, Yixin Cao, Lifu Huang, Tat-Seng Chua:
How Knowledge Graph and Attention Help? A Quantitative Analysis into Bag-level Relation Extraction. CoRR abs/2107.12064 (2021) - [i21]Sijia Wang, Mo Yu, Shiyu Chang, Lichao Sun, Lifu Huang:
Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding. CoRR abs/2110.07476 (2021) - [i20]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:
MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding. CoRR abs/2112.10728 (2021) - 2020
- [b1]Lifu Huang:
Cold-start universal information extraction. University of Illinois Urbana-Champaign, USA, 2020 - [c31]Lifu Huang, Heng Ji:
Semi-supervised New Event Type Induction and Event Detection. EMNLP (1) 2020: 718-724 - [c30]Qingyun Wang, Qi Zeng, Lifu Huang, Kevin Knight, Heng Ji, Nazneen Fatema Rajani:
ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis. INLG 2020: 384-397 - [i19]Qingyun Wang, Qi Zeng, Lifu Huang, Kevin Knight, Heng Ji, Nazneen Fatema Rajani:
ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis. CoRR abs/2010.06119 (2020) - [i18]Boliang Zhang, Spencer Whitehead, Lifu Huang, Heng Ji:
Global Attention for Name Tagging. CoRR abs/2010.09270 (2020)
2010 – 2019
- 2019
- [c29]Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal, Yi Luan:
PaperRobot: Incremental Draft Generation of Scientific Ideas. ACL (1) 2019: 1980-1991 - [c28]Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning. EMNLP/IJCNLP (1) 2019: 2391-2401 - [c27]Diya Li, Lifu Huang, Heng Ji, Jiawei Han:
Biomedical Event Extraction based on Knowledge-driven Tree-LSTM. NAACL-HLT (1) 2019: 1421-1430 - [c26]Lifu Huang, Heng Ji, Jonathan May:
Cross-lingual Multi-Level Adversarial Transfer to Enhance Low-Resource Name Tagging. NAACL-HLT (1) 2019: 3823-3833 - [i17]Manling Li, Ying Lin, Ananya Subburathinam, Spencer Whitehead, Xiaoman Pan, Di Lu, Qingyun Wang, Tongtao Zhang, Lifu Huang, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Bo Wu, Emily Allaway, Shih-Fu Chang, Kathleen R. McKeown, Yixiang Yao, Jennifer Chen, Eric Berquist, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Pedro A. Szekely, T. K. Satish Kumar, Arka Sadhu, Ram Nevatia, Miguel E. Rodríguez, Yifan Wang, Yang Bai, Ali Sadeghian, Daisy Zhe Wang:
GAIA at SM-KBP 2019 - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System. TAC 2019 - [i16]Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal, Yi Luan:
PaperRobot: Incremental Draft Generation of Scientific Ideas. CoRR abs/1905.07870 (2019) - [i15]Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning. CoRR abs/1909.00277 (2019) - 2018
- [c25]Qingyun Wang, Zhihao Zhou, Lifu Huang, Spencer Whitehead, Boliang Zhang, Heng Ji, Kevin Knight:
Paper Abstract Writing through Editing Mechanism. ACL (2) 2018: 260-265 - [c24]Lifu Huang, Heng Ji, Kyunghyun Cho, Ido Dagan, Sebastian Riedel, Clare R. Voss:
Zero-Shot Transfer Learning for Event Extraction. ACL (1) 2018: 2160-2170 - [c23]Zhiying Jiang, Boliang Zhang, Lifu Huang, Heng Ji:
Chengyu Cloze Test. BEA@NAACL-HLT 2018: 154-158 - [c22]Quan Yuan, Xiang Ren, Wenqi He, Chao Zhang, Xinhe Geng, Lifu Huang, Heng Ji, Chin-Yew Lin, Jiawei Han:
Open-Schema Event Profiling for Massive News Corpora. CIKM 2018: 587-596 - [c21]Boliang Zhang, Spencer Whitehead, Lifu Huang, Heng Ji:
Global Attention for Name Tagging. CoNLL 2018: 86-96 - [c20]Lifu Huang, Kyunghyun Cho, Boliang Zhang, Heng Ji, Kevin Knight:
Multi-lingual Common Semantic Space Construction via Cluster-Consistent Word Embedding. EMNLP 2018: 250-260 - [c19]Ge Shi, Chong Feng, Lifu Huang, Boliang Zhang, Heng Ji, Lejian Liao, Heyan Huang:
Genre Separation Network with Adversarial Training for Cross-genre Relation Extraction. EMNLP 2018: 1018-1023 - [c18]Di Lu, Spencer Whitehead, Lifu Huang, Heng Ji, Shih-Fu Chang:
Entity-aware Image Caption Generation. EMNLP 2018: 4013-4023 - [c17]Qingyun Wang, Xiaoman Pan, Lifu Huang, Boliang Zhang, Zhiying Jiang, Heng Ji, Kevin Knight:
Describing a Knowledge Base. INLG 2018: 10-21 - [c16]