Heng Ji

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 431

Top Venues

Publications

Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji
Executable Code Actions Elicit Better LLM Agents. CoRR (2024)
Jiaxin Qin, Zixuan Zhang, Chi Han, Manling Li, Pengfei Yu, Heng Ji
Why Does New Knowledge Create Messy Ripple Effects in LLMs? CoRR (2024)
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 (2024)
Jiateng Liu, Pengfei Yu, Yuji Zhang, Sha Li, Zixuan Zhang, Heng Ji
EVEDIT: Event-based Knowledge Editing with Deductive Editing Boundaries. CoRR (2024)
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 (2024)
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)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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, Chao Zhang, 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 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 (2024)
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)
Ziqi Wang, Le Hou, Tianjian Lu, Yuexin Wu, Yunxuan Li, Hongkun Yu, Heng Ji
Enabling Lanuguage Models to Implicitly Learn Self-Improvement. ICLR (2024)
Yangyi Chen, Xingyao Wang, Hao Peng, Heng Ji
A Single Transformer for Scalable Vision-Language Modeling. CoRR (2024)
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 (2024)
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 (2024)
Lifan Yuan, Yangyi Chen, Xingyao Wang, Yi Fung, Hao Peng, Heng Ji
CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets. ICLR (2024)
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)
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)
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 (2024)
Carl Edwards, Qingyun Wang, Lawrence Zhao, Heng Ji
L+M-24: Building a Dataset for Language + Molecules @ ACL 2024. CoRR (2024)
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 (2024)
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)
Xiaomeng Jin, Heng Ji
Schema-based Data Augmentation for Event Extraction. LREC/COLING (2024)
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 (2024)
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)
Zhenhailong Wang, Joy Hsu, Xingyao Wang, Kuan-Hao Huang, Manling Li, Jiajun Wu, Heng Ji
Text-Based Reasoning About Vector Graphics. CoRR (2024)
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)
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 (2024)
Payam Karisani, Heng Ji
Fact Checking Beyond Training Set. CoRR (2024)
Sizhe Zhou, Sha Li, Yu Meng, Yizhu Jiao, Heng Ji, Jiawei Han
Establishing Knowledge Preference in Language Models. CoRR (2024)
Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, Ajay Divakaran
Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models. NAACL-HLT (2024)
Zixuan Zhang, Revanth Gangi Reddy, Kevin Small, Tong Zhang, Heng Ji
Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization. CoRR (2024)
Yizhu Jiao, Sha Li, Sizhe Zhou, Heng Ji, Jiawei Han
Text2DB: Integration-Aware Information Extraction with Large Language Model Agents. ACL (Findings) (2024)
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)
Hongyi Liu, Qingyun Wang, Payam Karisani, Heng Ji
Name Tagging Under Domain Shift via Metric Learning for Life Sciences. CoRR (2024)
Payam Karisani, Heng Ji
Fact Checking Beyond Training Set. NAACL-HLT (2024)
Chujie Zheng, Ziqi Wang, Heng Ji, Minlie Huang, Nanyun Peng
Weak-to-Strong Extrapolation Expedites Alignment. CoRR (2024)
Jeonghwan Kim, Heng Ji
Finer: Investigating and Enhancing Fine-Grained Visual Concept Recognition in Large Vision Language Models. CoRR (2024)
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)
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 (2024)
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)
Revanth Gangi Reddy, Omar Attia, Yunyao Li, Heng Ji, Saloni Potdar
AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings. CoRR (2024)
Hongyi Liu, Qingyun Wang, Payam Karisani, Heng Ji
Named Entity Recognition Under Domain Shift via Metric Learning for Life Sciences. NAACL-HLT (2024)
Yi Fung, Ruining Zhao, Jae Doo, Chenkai Sun, Heng Ji
Massively Multi-Cultural Knowledge Acquisition & LM Benchmarking. CoRR (2024)
Qingyun Wang, Doug Downey, Heng Ji, Tom Hope
SciMON: Scientific Inspiration Machines Optimized for Novelty. ACL (1) (2024)
Chenkai Sun, Jinning Li, Hou Pong Chan, ChengXiang Zhai, Heng Ji
Measuring the Effect of Influential Messages on Varying Personas. CoRR (2023)
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)
Hou Pong Chan, Qi Zeng, Heng Ji
Interpretable Automatic Fine-grained Inconsistency Detection in Text Summarization. ACL (Findings) (2023)
Lifan Yuan, Yangyi Chen, Xingyao Wang, Yi R. Fung, Hao Peng, Heng Ji
CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets. CoRR (2023)
Yangyi Chen, Xingyao Wang, Heng Ji
Making Pre-trained Language Models both Task-solvers and Self-calibrators. CoRR (2023)
Yizhu Jiao, Ming Zhong, Sha Li, Ruining Zhao, Siru Ouyang, Heng Ji, Jiawei Han
Instruct and Extract: Instruction Tuning for On-Demand Information Extraction. EMNLP (2023)
Henry W. Sprueill, Carl Edwards, Mariefel V. Olarte, Udishnu Sanyal, Heng Ji, Sutanay Choudhury
Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design. CoRR (2023)
Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, Ajay Divakaran
Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models. CoRR (2023)
Yubin Ge, Ziang Xiao, Jana Diesner, Heng Ji, Karrie Karahalios, Hari Sundaram
What should I Ask: A Knowledge-driven Approach for Follow-up Questions Generation in Conversational Surveys. PACLIC (2023)
Chenkai Sun, Jinning Li, Yi R. Fung, Hou Pong Chan, Tarek F. Abdelzaher, ChengXiang Zhai, Heng Ji
Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting. CoRR (2023)
Khanh Duy Nguyen, Zixuan Zhang, Reece Suchocki, Sha Li, Martha Palmer, Susan Windisch Brown, Jiawei Han, Heng Ji
RESIN-EDITOR: A Schema-guided Hierarchical Event Graph Visualizer and Editor. CoRR (2023)
Xingyao Wang, Hao Peng, Reyhaneh Jabbarvand, Heng Ji
LeTI: Learning to Generate from Textual Interactions. CoRR (2023)
Qiusi Zhan, Sha Li, Kathryn Conger, Martha Palmer, Heng Ji, Jiawei Han
GLEN: General-Purpose Event Detection for Thousands of Types. CoRR (2023)
Kung-Hsiang Huang, Hou Pong Chan, Heng Ji
Zero-shot Faithful Factual Error Correction. CoRR (2023)
Xueqing Wu, Sha Li, Heng Ji
OpenPI-C: A Better Benchmark and Stronger Baseline for Open-Vocabulary State Tracking. CoRR (2023)
Charles Yu, Sullam Jeoung, Anish Kasi, Pengfei Yu, Heng Ji
Unlearning Bias in Language Models by Partitioning Gradients. ACL (Findings) (2023)
Kung-Hsiang Huang, Hou Pong Chan, Heng Ji
Zero-shot Faithful Factual Error Correction. ACL (1) (2023)
Zhenrui Yue, Huimin Zeng, Mengfei Lan, Heng Ji, Dong Wang
Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning. CoRR (2023)
Hou Pong Chan, Qi Zeng, Heng Ji
Interpretable Automatic Fine-grained Inconsistency Detection in Text Summarization. CoRR (2023)
Yangyi Chen, Xingyao Wang, Manling Li, Derek Hoiem, Heng Ji
ViStruct: Visual Structural Knowledge Extraction via Curriculum Guided Code-Vision Representation. EMNLP (2023)
Revanth Gangi Reddy, Heba Elfardy, Hou Pong Chan, Kevin Small, Heng Ji
SumREN: Summarizing Reported Speech about Events in News. AAAI (2023)
Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, Zheni Zeng, Yufei Huang, Chaojun Xiao, Chi Han, Yi Ren Fung, Yusheng Su, Huadong Wang, Cheng Qian, Runchu Tian, Kunlun Zhu, Shihao Liang, Xingyu Shen, Bokai Xu, Zhen Zhang, Yining Ye, Bowen Li, Ziwei Tang, Jing Yi, Yuzhang Zhu, Zhenning Dai, Lan Yan, Xin Cong, Yaxi Lu, Weilin Zhao, Yuxiang Huang, Junxi Yan, Xu Han, Xian Sun, Dahai Li, Jason Phang, Cheng Yang, Tongshuang Wu, Heng Ji, Zhiyuan Liu, Maosong Sun
Tool Learning with Foundation Models. CoRR (2023)
Xiaomeng Jin, Bhanukiran Vinzamuri, Sriram Venkatapathy, Heng Ji, Pradeep Natarajan
Adversarial Robustness for Large Language NER models using Disentanglement and Word Attributions. EMNLP (Findings) (2023)
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)
Zhenhailong Wang, Ansel Blume, Sha Li, Genglin Liu, Jaemin Cho, Zineng Tang, Mohit Bansal, Heng Ji
Paxion: Patching Action Knowledge in Video-Language Foundation Models. NeurIPS (2023)
Ziqi Wang, Le Hou, Tianjian Lu, Yuexin Wu, Yunxuan Li, Hongkun Yu, Heng Ji
Enable Language Models to Implicitly Learn Self-Improvement From Data. CoRR (2023)
Tianyi Zhang, Isaac Tham, Zhaoyi Hou, Jiaxuan Ren, Liyang 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. CoRR (2023)
Hanning Zhang, Shizhe Diao, Yong Lin, Yi R. Fung, Qing Lian, Xingyao Wang, Yangyi Chen, Heng Ji, Tong Zhang
R-Tuning: Teaching Large Language Models to Refuse Unknown Questions. CoRR (2023)
Tianci Xue, Ziqi Wang, Heng Ji
Parameter-Efficient Tuning Helps Language Model Alignment. CoRR (2023)
Liliang Ren, Mankeerat Sidhu, Qi Zeng, Revanth Gangi Reddy, Heng Ji, ChengXiang Zhai
C-PMI: Conditional Pointwise Mutual Information for Turn-level Dialogue Evaluation. CoRR (2023)
Chi Han, Hengzhi Pei, Xinya Du, Heng Ji
Zero-Shot Classification by Logical Reasoning on Natural Language Explanations. ACL (Findings) (2023)
Revanth Gangi Reddy, Hao Bai, Wentao Yao, Sharath Chandra Etagi Suresh, Heng Ji, ChengXiang Zhai
Social Commonsense-Guided Search Query Generation for Open-Domain Knowledge-Powered Conversations. EMNLP (Findings) (2023)
Qingyun Wang, Doug Downey, Heng Ji, Tom Hope
Learning to Generate Novel Scientific Directions with Contextualized Literature-based Discovery. CoRR (2023)
Xingyao Wang, Sha Li, Heng Ji
Code4Struct: Code Generation for Few-Shot Event Structure Prediction. ACL (1) (2023)
Sha Li, Chi Han, Pengfei Yu, Carl Edwards, Manling Li, Xingyao Wang, Yi Ren Fung, Charles Yu, Joel R. Tetreault, Eduard H. Hovy, Heng Ji
Defining a New NLP Playground. EMNLP (Findings) (2023)
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)
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)
Kung-Hsiang Huang, Mingyang Zhou, Hou Pong Chan, Yi R. Fung, Zhenhailong Wang, Lingyu Zhang, Shih-Fu Chang, Heng Ji
Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning. CoRR (2023)
Sumuk Shashidhar, Abhinav Chinta, Vaibhav Sahai, Zhenhailong Wang, Heng Ji
Democratizing LLMs: An Exploration of Cost-Performance Trade-offs in Self-Refined Open-Source Models. EMNLP (Findings) (2023)
Chenkai Sun, Jinning Li, Hou Pong Chan, ChengXiang Zhai, Heng Ji
Measuring the Effect of Influential Messages on Varying Personas. ACL (2) (2023)
Yi Fung, Han Wang, Tong Wang, Ali Kebarighotbi, Mohit Bansal, Heng Ji, Prem Natarajan
DeepMaven: Deep Question Answering on Long-Distance Movie/TV Show Videos with Multimedia Knowledge Extraction and Synthesis. EACL (2023)
Bowen Jin, Gang Liu, Chi Han, Meng Jiang, Heng Ji, Jiawei Han
Large Language Models on Graphs: A Comprehensive Survey. CoRR (2023)
Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, Jiawei Han
The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions. EMNLP (2023)
Carl Edwards, Aakanksha Naik, Tushar Khot, Martin Burke, Heng Ji, Tom Hope
SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction and Drug Design. CoRR (2023)
Qi Zeng, Mankeerat Sidhu, Hou Pong Chan, Lu Wang, Heng Ji
Meta-review Generation with Checklist-guided Iterative Introspection. CoRR (2023)
Ke Yang, Charles Yu, Yi Ren Fung, Manling Li, Heng Ji
ADEPT: A DEbiasing PrompT Framework. AAAI (2023)
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. CoRR (2023)
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)
Yangyi Chen, Lifan Yuan, Ganqu Cui, Zhiyuan Liu, Heng Ji
A Close Look into the Calibration of Pre-trained Language Models. ACL (1) (2023)
Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. CoRR (2023)
Pengfei Yu, Heng Ji
Self Information Update for Large Language Models through Mitigating Exposure Bias. CoRR (2023)
Zhenhailong Wang, Ansel Blume, Sha Li, Genglin Liu, Jaemin Cho, Zineng Tang, Mohit Bansal, Heng Ji
Paxion: Patching Action Knowledge in Video-Language Foundation Models. CoRR (2023)
Chi Han, Qifan Wang, Wenhan Xiong, Yu Chen, Heng Ji, Sinong Wang
LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models. CoRR (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

Heng Ji