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2020 – today
- 2024
[j21]Bowen Jin, Gang Liu, Chi Han, Meng Jiang, Heng Ji, Jiawei Han:
Large Language Models on Graphs: A Comprehensive Survey. IEEE Trans. Knowl. Data Eng. 36(12): 8622-8642 (2024)- [c336]Yizhu Jiao, Sha Li, Sizhe Zhou, Heng Ji, Jiawei Han:
Text2DB: Integration-Aware Information Extraction with Large Language Model Agents. ACL (Findings) 2024: 185-205 - [c335]Qingyun Wang, Doug Downey, Heng Ji, Tom Hope:
SciMON: Scientific Inspiration Machines Optimized for Novelty. ACL (1) 2024: 279-299 - [c334]Kung-Hsiang Huang, Mingyang Zhou, Hou Pong Chan, Yi Fung, Zhenhailong Wang, Lingyu Zhang, Shih-Fu Chang, Heng Ji:
Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning. ACL (Findings) 2024: 730-749 - [c333]Xianrui Zhong, Yufeng Du, Siru Ouyang, Ming Zhong, Tingfeng Luo, Qirong Ho, Hao Peng, Heng Ji, Jiawei Han:
ActionIE: Action Extraction from Scientific Literature with Programming Languages. ACL (1) 2024: 12656-12671 - [c332]Kuan-Hao Huang, I-Hung Hsu, Tanmay Parekh, Zhiyu Xie, Zixuan Zhang, Prem Natarajan, Kai-Wei Chang, Nanyun Peng, Heng Ji:
TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction. ACL (Findings) 2024: 12804-12825 - [c331]Chi Han, Jialiang Xu, Manling Li, Yi Fung, Chenkai Sun, Nan Jiang, Tarek F. Abdelzaher, Heng Ji:
Word Embeddings Are Steers for Language Models. ACL (1) 2024: 16410-16430 - [c330]Thao Nguyen
, Tiara Torres-Flores, Changhyun Hwang, Carl Edwards, Ying Diao, Heng Ji:
GLaD: Synergizing Molecular Graphs and Language Descriptors for Enhanced Power Conversion Efficiency Prediction in Organic Photovoltaic Devices. CIKM 2024: 4777-4785 - [c329]Yi Ren Fung, Anoop Kumar, Aram Galstyan, Heng Ji, Prem Natarajan:
Agenda-Driven Question Generation: A Case Study in the Courtroom Domain. LREC/COLING 2024: 572-583 - [c328]Xiaomeng Jin, Heng Ji:
Schema-based Data Augmentation for Event Extraction. LREC/COLING 2024: 14382-14392 - [c327]Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, Ajay Divakaran:
DRESS : Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback. CVPR 2024: 14239-14250 - [c326]Qingyun Wang, Zixuan Zhang, Hongxiang Li, Xuan Liu, Jiawei Han, Huimin Zhao, Heng Ji:
Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction. EACL (Findings) 2024: 1-16 - [c325]Yong Lin, Hangyu Lin, Wei Xiong, Shizhe Diao, Jianmeng Liu, Jipeng Zhang, Rui Pan, Haoxiang Wang, Wenbin Hu, Hanning Zhang, Hanze Dong, Renjie Pi, Han Zhao, Nan Jiang, Heng Ji, Yuan Yao, Tong Zhang:
Mitigating the Alignment Tax of RLHF. EMNLP 2024: 580-606 - [c324]Jiateng Liu, Pengfei Yu, Yuji Zhang, Sha Li, Zixuan Zhang, Ruhi Sarikaya, Kevin Small, Heng Ji:
EVEDIT: Event-based Knowledge Editing for Deterministic Knowledge Propagation. EMNLP 2024: 4907-4926 - [c323]Jeonghwan Kim, Heng Ji:
Finer: Investigating and Enhancing Fine-Grained Visual Concept Recognition in Large Vision Language Models. EMNLP 2024: 6187-6207 - [c322]Shujin Wu, Yi Fung, Sha Li, Yixin Wan, Kai-Wei Chang, Heng Ji:
MACAROON: Training Vision-Language Models To Be Your Engaged Partners. EMNLP (Findings) 2024: 7715-7731 - [c321]Revanth Gangi Reddy, Omar Attia, Yunyao Li, Heng Ji, Saloni Potdar:
AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings. EMNLP 2024: 8630-8641 - [c320]Revanth Gangi Reddy, JaeHyeok Doo, Yifei Xu, Md. Arafat Sultan, Deevya Swain, Avirup Sil, Heng Ji:
FIRST: Faster Improved Listwise Reranking with Single Token Decoding. EMNLP 2024: 8642-8652 - [c319]Jiaxin Qin, Zixuan Zhang, Chi Han, Pengfei Yu, Manling Li, Heng Ji:
Why Does New Knowledge Create Messy Ripple Effects in LLMs? EMNLP 2024: 12602-12609 - [c318]Xudong Lin, Manling Li, Richard S. Zemel, Heng Ji, Shih-Fu Chang:
Training-free Deep Concept Injection Enables Language Models for Video Question Answering. EMNLP 2024: 22399-22416 - [c317]Xingyao Wang, Zihan Wang, Jiateng Liu, Yangyi Chen, Lifan Yuan, Hao Peng, Heng Ji:
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback. ICLR 2024 - [c316]Ziqi Wang, Le Hou, Tianjian Lu, Yuexin Wu, Yunxuan Li, Hongkun Yu, Heng Ji:
Enabling Lanuguage Models to Implicitly Learn Self-Improvement. ICLR 2024 - [c315]Lifan Yuan, Yangyi Chen, Xingyao Wang, Yi Fung, Hao Peng, Heng Ji:
CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets. ICLR 2024 - [c314]Wei Xiong, Hanze Dong, Chenlu Ye, Ziqi Wang, Han Zhong, Heng Ji, Nan Jiang, Tong Zhang:
Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-constraint. ICML 2024 - [c313]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 - [c312]Henry W. Sprueill, Carl Edwards, Khushbu Agarwal, Mariefel V. Olarte, Udishnu Sanyal, Conrad Johnston, Hongbin Liu, Heng Ji, Sutanay Choudhury:
CHEMREASONER: Heuristic Search over a Large Language Model's Knowledge Space using Quantum-Chemical Feedback. ICML 2024 - [c311]Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji:
Executable Code Actions Elicit Better LLM Agents. ICML 2024 - [c310]Amin Karimi Monsefi, Payam Karisani, Mengxi Zhou, Stacey Choi, Nathan Doble, Heng Ji, Srinivasan Parthasarathy, Rajiv Ramnath:
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain. KDD 2024: 1348-1359 - [c309]Ansel Blume, Khanh Duy Nguyen, Zhenhailong Wang, Yangyi Chen, Michal Shlapentokh-Rothman, Xiaomeng Jin, Jeonghwan Kim, Zhen Zhu, Jiateng Liu, Kuan-Hao Huang, Mankeerat Sidhu, Xuanming Zhang, Vivian Liu, Raunak Sinha, Te-Lin Wu, Abhay Zala, Elias Stengel-Eskin, Da Yin, Yao Xiao, Utkarsh Mall, Zhou Yu, Kai-Wei Chang, Camille Cobb, Karrie Karahalios, Lydia B. Chilton, Mohit Bansal, Nanyun Peng, Carl Vondrick, Derek Hoiem, Heng Ji:
MIRACLE: An Online, Explainable Multimodal Interactive Concept Learning System. ACM Multimedia 2024: 11252-11254 - [c308]Hongyi Liu, Qingyun Wang, Payam Karisani, Heng Ji:
Named Entity Recognition Under Domain Shift via Metric Learning for Life Sciences. NAACL-HLT 2024: 1-21 - [c307]Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, Ajay Divakaran:
Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models. NAACL-HLT 2024: 192-210 - [c306]Xingyao Wang, Hao Peng, Reyhaneh Jabbarvand, Heng Ji:
LETI: Learning to Generate from Textual Interactions. NAACL-HLT (Findings) 2024: 223-239 - [c305]Zhenhailong Wang, Shaoguang Mao, Wenshan Wu, Tao Ge, Furu Wei, Heng Ji:
Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration. NAACL-HLT 2024: 257-279 - [c304]Zixuan Zhang, Revanth Gangi Reddy, Kevin Small, Tong Zhang, Heng Ji:
Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization. NAACL-HLT (Findings) 2024: 742-753 - [c303]Payam Karisani, Heng Ji:
Fact Checking Beyond Training Set. NAACL-HLT 2024: 2247-2261 - [c302]Heyi Tao, Sethuraman TV, Michal Shlapentokh-Rothman, Tanmay Gupta, Heng Ji, Derek Hoiem:
WebWISE: Unlocking Web Interface Control for LLMs via Sequential Exploration. NAACL-HLT (Findings) 2024: 3693-3711 - [c301]Chi Han, Qifan Wang, Hao Peng, Wenhan Xiong, Yu Chen, Heng Ji, Sinong Wang:
LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models. NAACL-HLT 2024: 3991-4008 - [c300]Hanning Zhang, Shizhe Diao, Yong Lin, Yi R. Fung, Qing Lian, Xingyao Wang, Yangyi Chen, Heng Ji, Tong Zhang:
R-Tuning: Instructing Large Language Models to Say 'I Don't Know'. NAACL-HLT 2024: 7113-7139 - [c299]Stuti Agrawal, Pranav Pillai, Nishi Uppuluri, Revanth Gangi Reddy, Sha Li, Gokhan Tur, Dilek Hakkani-Tur, Heng Ji:
Dialog Flow Induction for Constrainable LLM-Based Chatbots. SIGDIAL 2024: 66-77 - [i222]Ke Yang, Jiateng Liu, John Wu, Chaoqi Yang, Yi R. Fung, Sha Li, Zixuan Huang, Xu Cao, Xingyao Wang, Yiquan Wang, Heng Ji, Chengxiang Zhai:
If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents. CoRR abs/2401.00812 (2024) - [i221]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) - [i220]Qingyun Wang, Zixuan Zhang, Hongxiang Li, Xuan Liu, Jiawei Han, Huimin Zhao, Heng Ji:
Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction. CoRR abs/2401.10189 (2024) - [i219]Hongyi Liu, Qingyun Wang, Payam Karisani, Heng Ji:
Name Tagging Under Domain Shift via Metric Learning for Life Sciences. CoRR abs/2401.10472 (2024) - [i218]Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji:
Executable Code Actions Elicit Better LLM Agents. CoRR abs/2402.01030 (2024) - [i217]Amin Karimi Monsefi, Payam Karisani, Mengxi Zhou, Stacey Choi, Nathan Doble, Heng Ji, Srinivasan Parthasarathy, Rajiv Ramnath:
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain. CoRR abs/2402.06190 (2024) - [i216]Kyungha Kim, Sangyun Lee, Kung-Hsiang Huang, Hou Pong Chan, Manling Li, Heng Ji:
Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent Debate. CoRR abs/2402.07401 (2024) - [i215]Yi Fung, Ruining Zhao, Jae Doo, Chenkai Sun, Heng Ji:
Massively Multi-Cultural Knowledge Acquisition & LM Benchmarking. CoRR abs/2402.09369 (2024) - [i214]Henry W. Sprueill, Carl Edwards, Khushbu Agarwal, Mariefel V. Olarte, Udishnu Sanyal, Conrad Johnston, Hongbin Liu, Heng Ji, Sutanay Choudhury:
ChemReasoner: Heuristic Search over a Large Language Model's Knowledge Space using Quantum-Chemical Feedback. CoRR abs/2402.10980 (2024) - [i213]Chenkai Sun, Ke Yang, Revanth Gangi Reddy, Yi R. Fung, Hou Pong Chan, ChengXiang Zhai, Heng Ji:
Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement. CoRR abs/2402.11060 (2024) - [i212]Jiateng Liu, Pengfei Yu, Yuji Zhang, Sha Li, Zixuan Zhang, Heng Ji:
EVEDIT: Event-based Knowledge Editing with Deductive Editing Boundaries. CoRR abs/2402.11324 (2024) - [i211]Keyang Xuan, Li Yi, Fan Yang, Ruochen Wu, Yi R. Fung, Heng Ji:
LEMMA: Towards LVLM-Enhanced Multimodal Misinformation Detection with External Knowledge Augmentation. CoRR abs/2402.11943 (2024) - [i210]Jeonghwan Kim, Heng Ji:
Finer: Investigating and Enhancing Fine-Grained Visual Concept Recognition in Large Vision Language Models. CoRR abs/2402.16315 (2024) - [i209]Carl Edwards, Qingyun Wang, Lawrence Zhao, Heng Ji:
L+M-24: Building a Dataset for Language + Molecules @ ACL 2024. CoRR abs/2403.00791 (2024) - [i208]Kung-Hsiang Huang, Hou Pong Chan, Yi Ren Fung, Haoyi Qiu, Mingyang Zhou, Shafiq Joty, Shih-Fu Chang, Heng Ji:
From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models. CoRR abs/2403.12027 (2024) - [i207]Payam Karisani, Heng Ji:
Fact Checking Beyond Training Set. CoRR abs/2403.18671 (2024) - [i206]Zixuan Zhang, Revanth Gangi Reddy, Kevin Small, Tong Zhang, Heng Ji:
Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization. CoRR abs/2404.01652 (2024) - [i205]Zhenhailong Wang, Joy Hsu, Xingyao Wang, Kuan-Hao Huang, Manling Li, Jiajun Wu, Heng Ji:
Text-Based Reasoning About Vector Graphics. CoRR abs/2404.06479 (2024) - [i204]Chujie Zheng, Ziqi Wang, Heng Ji, Minlie Huang, Nanyun Peng:
Weak-to-Strong Extrapolation Expedites Alignment. CoRR abs/2404.16792 (2024) - [i203]Thao Nguyen, Tiara Torres-Flores, Changhyun Hwang, Carl Edwards, Ying Diao, Heng Ji:
GLaD: Synergizing Molecular Graphs and Language Descriptors for Enhanced Power Conversion Efficiency Prediction in Organic Photovoltaic Devices. CoRR abs/2405.14203 (2024) - [i202]Revanth Gangi Reddy, Omar Attia, Yunyao Li, Heng Ji, Saloni Potdar:
AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings. CoRR abs/2405.15028 (2024) - [i201]Shujin Wu, Yi R. Fung, Sha Li, Yixin Wan, Kai-Wei Chang, Heng Ji:
MACAROON: Training Vision-Language Models To Be Your Engaged Partners. CoRR abs/2406.14137 (2024) - [i200]Revanth Gangi Reddy, JaeHyeok Doo, Yifei Xu, Md. Arafat Sultan, Deevya Swain, Avirup Sil, Heng Ji:
FIRST: Faster Improved Listwise Reranking with Single Token Decoding. CoRR abs/2406.15657 (2024) - [i199]Ziqi Wang, Hanlin Zhang, Xiner Li, Kuan-Hao Huang, Chi Han, Shuiwang Ji, Sham M. Kakade, Hao Peng, Heng Ji:
Eliminating Position Bias of Language Models: A Mechanistic Approach. CoRR abs/2407.01100 (2024) - [i198]Yangyi Chen, Xingyao Wang, Hao Peng, Heng Ji:
A Single Transformer for Scalable Vision-Language Modeling. CoRR abs/2407.06438 (2024) - [i197]Yuji Zhang, Sha Li, Jiateng Liu, Pengfei Yu, Yi R. Fung, Jing Li, Manling Li, Heng Ji:
Knowledge Overshadowing Causes Amalgamated Hallucination in Large Language Models. CoRR abs/2407.08039 (2024) - [i196]Jiaxin Qin, Zixuan Zhang, Chi Han, Manling Li, Pengfei Yu, Heng Ji:
Why Does New Knowledge Create Messy Ripple Effects in LLMs? CoRR abs/2407.12828 (2024) - [i195]Sizhe Zhou, Sha Li, Yu Meng, Yizhu Jiao, Heng Ji, Jiawei Han:
Establishing Knowledge Preference in Language Models. CoRR abs/2407.13048 (2024) - [i194]Xingyao Wang, Boxuan Li, Yufan Song, Frank F. Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang H. Tran, Fuqiang Li, Ren Ma, Mingzhang Zheng, Bill Qian, Yanjun Shao, Niklas Muennighoff, Yizhe Zhang, Binyuan Hui, Junyang Lin, Robert Brennan, Hao Peng, Heng Ji, Graham Neubig:
OpenDevin: An Open Platform for AI Software Developers as Generalist Agents. CoRR abs/2407.16741 (2024) - [i193]Stuti Agrawal, Nishi Uppuluri, Pranav Pillai, Revanth Gangi Reddy, Zoey Li, Gokhan Tur, Dilek Hakkani-Tur, Heng Ji:
Dialog Flow Induction for Constrainable LLM-Based Chatbots. CoRR abs/2408.01623 (2024) - [i192]Xiaomeng Jin, Jeonghwan Kim, Yu Zhou, Kuan-Hao Huang, Te-Lin Wu, Nanyun Peng, Heng Ji:
ARMADA: Attribute-Based Multimodal Data Augmentation. CoRR abs/2408.10086 (2024) - [i191]Xiner Li, Limei Wang, Youzhi Luo, Carl Edwards, Shurui Gui, Yuchao Lin, Heng Ji, Shuiwang Ji:
Geometry Informed Tokenization of Molecules for Language Model Generation. CoRR abs/2408.10120 (2024) - [i190]Yuting Hu, Dancheng Liu, Qingyun Wang, Charles Yu, Heng Ji, Jinjun Xiong:
Automating Knowledge Discovery from Scientific Literature via LLMs: A Dual-Agent Approach with Progressive Ontology Prompting. CoRR abs/2409.00054 (2024) - [i189]Yu Wang, Chi Han, Tongtong Wu, Xiaoxin He, Wangchunshu Zhou, Nafis Sadeq, Xiusi Chen, Zexue He, Wei Wang, Gholamreza Haffari, Heng Ji, Julian J. McAuley:
Towards LifeSpan Cognitive Systems. CoRR abs/2409.13265 (2024) - [i188]Mankeerat Sidhu, Hetarth Chopra, Ansel Blume, Jeonghwan Kim, Revanth Gangi Reddy, Heng Ji:
Search and Detect: Training-Free Long Tail Object Detection via Web-Image Retrieval. CoRR abs/2409.18733 (2024) - [i187]Jiateng Liu, Lin Ai, Zizhou Liu, Payam Karisani, Zheng Hui, May Fung, Preslav Nakov, Julia Hirschberg, Heng Ji:
PropaInsight: Toward Deeper Understanding of Propaganda in Terms of Techniques, Appeals, and Intent. CoRR abs/2409.18997 (2024) - [i186]Thao Nguyen, Kuan-Hao Huang, Ge Liu, Martin D. Burke, Ying Diao, Heng Ji:
FARM: Functional Group-Aware Representations for Small Molecules. CoRR abs/2410.02082 (2024) - [i185]Shujin Wu, May Fung, Cheng Qian, Jeonghwan Kim, Dilek Hakkani-Tur, Heng Ji:
Aligning LLMs with Individual Preferences via Interaction. CoRR abs/2410.03642 (2024) - [i184]Jiayi He, Hehai Lin, Qingyun Wang, Yi Fung, Heng Ji:
Self-Correction is More than Refinement: A Learning Framework for Visual and Language Reasoning Tasks. CoRR abs/2410.04055 (2024) - [i183]Cheng Li, May Fung, Qingyun Wang, Chi Han, Manling Li, Jindong Wang, Heng Ji:
MentalArena: Self-play Training of Language Models for Diagnosis and Treatment of Mental Health Disorders. CoRR abs/2410.06845 (2024) - [i182]Yangyi Chen, Binxuan Huang, Yifan Gao, Zhengyang Wang, Jingfeng Yang, Heng Ji:
Scaling Laws for Predicting Downstream Performance in LLMs. CoRR abs/2410.08527 (2024) - [i181]Kexuan Xin, Qingyun Wang, Junyu Chen, Pengfei Yu, Huimin Zhao, Heng Ji:
Gene-Metabolite Association Prediction with Interactive Knowledge Transfer Enhanced Graph for Metabolite Production. CoRR abs/2410.18475 (2024) - [i180]Sha Li, Revanth Gangi Reddy, Khanh Duy Nguyen, Qingyun Wang, May Fung, Chi Han, Jiawei Han, Kartik Natarajan, Clare R. Voss, Heng Ji:
Schema-Guided Culture-Aware Complex Event Simulation with Multi-Agent Role-Play. CoRR abs/2410.18935 (2024) - [i179]Revanth Gangi Reddy, Sagnik Mukherjee, Jeonghwan Kim, Zhenhailong Wang, Dilek Hakkani-Tur, Heng Ji:
Infogent: An Agent-Based Framework for Web Information Aggregation. CoRR abs/2410.19054 (2024) - 2023
- [j20]Tuan Manh Lai, ChengXiang Zhai, Heng Ji:
KEBLM: Knowledge-Enhanced Biomedical Language Models. J. Biomed. Informatics 143: 104392 (2023) - [c298]Guang Yang, Manling Li, Jiajie Zhang, Xudong Lin, Heng Ji, Shih-Fu Chang:
Video Event Extraction via Tracking Visual States of Arguments. AAAI 2023: 3136-3144 - [c297]Ke Yang, Charles Yu, Yi Ren Fung, Manling Li, Heng Ji:
ADEPT: A DEbiasing PrompT Framework. AAAI 2023: 10780-10788 - [c296]Revanth Gangi Reddy, Heba Elfardy, Hou Pong Chan, Kevin Small, Heng Ji:
SumREN: Summarizing Reported Speech about Events in News. AAAI 2023: 12808-12817 - [c295]Tianyi Zhang, Isaac Tham, Zhaoyi Hou, Jiaxuan Ren, Leon Zhou, Hainiu Xu, Li Zhang, Lara J. Martin, Rotem Dror, Sha Li, Heng Ji, Martha Palmer, Susan Windisch Brown, Reece Suchocki, Chris Callison-Burch:
Human-in-the-loop Schema Induction. ACL (demo) 2023: 1-10 - [c294]Chenkai Sun, Jinning Li, Hou Pong Chan, ChengXiang Zhai, Heng Ji:
Measuring the Effect of Influential Messages on Varying Personas. ACL (2) 2023: 554-562 - [c293]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 - [c292]Mingyang Zhou, Yi Ren Fung, Long Chen, Christopher Thomas, Heng Ji, Shih-Fu Chang:
Enhanced Chart Understanding via Visual Language Pre-training on Plot Table Pairs. ACL (Findings) 2023: 1314-1326 - [c291]Yangyi Chen, Lifan Yuan, Ganqu Cui, Zhiyuan Liu, Heng Ji:
A Close Look into the Calibration of Pre-trained Language Models. ACL (1) 2023: 1343-1367 - [c290]Jiateng Liu, Sha Li, Zhenhailong Wang, Manling Li, Heng Ji:
A Language-First Approach for Procedure Planning. ACL (Findings) 2023: 1941-1954 - [c289]Xingyao Wang, Sha Li, Heng Ji:
Code4Struct: Code Generation for Few-Shot Event Structure Prediction. ACL (1) 2023: 3640-3663 - [c288]Zhenhailong Wang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen, Heng Ji:
Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks. ACL (Findings) 2023: 3978-4004 - [c287]Ali Omrani, Alireza Salkhordeh Ziabari, Charles Yu, Preni Golazizian, Brendan Kennedy, Mohammad Atari, Heng Ji, Morteza Dehghani:
Social-Group-Agnostic Bias Mitigation via the Stereotype Content Model. ACL (1) 2023: 4123-4139 - [c286]Yu Zhou, Sha Li, Manling Li, Xudong Lin, Shih-Fu Chang, Mohit Bansal, Heng Ji:
Non-Sequential Graph Script Induction via Multimedia Grounding. ACL (1) 2023: 5529-5545 - [c285]Kung-Hsiang Huang, Hou Pong Chan, Heng Ji:
Zero-shot Faithful Factual Error Correction. ACL (1) 2023: 5660-5676 - [c284]Sha Li, Ruining Zhao, Manling Li, Heng Ji, Chris Callison-Burch, Jiawei Han:
Open-Domain Hierarchical Event Schema Induction by Incremental Prompting and Verification. ACL (1) 2023: 5677-5697 - [c283]Charles Yu, Sullam Jeoung, Anish Kasi, Pengfei Yu, Heng Ji:
Unlearning Bias in Language Models by Partitioning Gradients. ACL (Findings) 2023: 6032-6048 - [c282]Hou Pong Chan, Qi Zeng, Heng Ji:
Interpretable Automatic Fine-grained Inconsistency Detection in Text Summarization. ACL (Findings) 2023: 6433-6444 - [c281]Xueqing Wu, Sha Li, Heng Ji:
OpenPI-C: A Better Benchmark and Stronger Baseline for Open-Vocabulary State Tracking. ACL (Findings) 2023: 7213-7222 - [c280]Zhenrui Yue, Huimin Zeng, Mengfei Lan, Heng Ji, Dong Wang:
Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning. ACL (1) 2023: 7928-7943 - [c279]Chi Han, Hengzhi Pei, Xinya Du, Heng Ji:
Zero-Shot Classification by Logical Reasoning on Natural Language Explanations. ACL (Findings) 2023: 8967-8981 - [c278]Yangyi Chen, Hongcheng Gao, Ganqu Cui, Lifan Yuan, Dehan Kong, Hanlu Wu, Ning Shi, Bo Yuan, Longtao Huang, Hui Xue, Zhiyuan Liu, Maosong Sun, Heng Ji:
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework. ACL (Findings) 2023: 9607-9632 - [c277]Yangyi Chen, Xingyao Wang, Heng Ji:
Making Pre-trained Language Models both Task-solvers and Self-calibrators. ACL (Findings) 2023: 9845-9862 - [c276]Kung-Hsiang Huang, Kathleen R. McKeown, Preslav Nakov, Yejin Choi, Heng Ji:
Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation. ACL (1) 2023: 14571-14589 - [c275]Xudong Lin, Simran Tiwari, Shiyuan Huang, Manling Li, Mike Zheng Shou, Heng Ji, Shih-Fu Chang:
Towards Fast Adaptation of Pretrained Contrastive Models for Multi-channel Video-Language Retrieval. CVPR 2023: 14846-14855 - [c274]Pengfei Yu, Jonathan May, Heng Ji:
Bridging the Gap between Native Text and Translated Text through Adversarial Learning: A Case Study on Cross-Lingual Event Extraction. EACL (Findings) 2023: 742-757 - [c273]Pengfei Yu, Heng Ji:
Shorten the Long Tail for Rare Entity and Event Extraction. EACL 2023: 1331-1342 - [c272]Zixuan Zhang, Heba Elfardy, Markus Dreyer, Kevin Small, Heng Ji, Mohit Bansal:
Enhancing Multi-Document Summarization with Cross-Document Graph-based Information Extraction. EACL 2023: 1688-1699 - [c271]