RelationListwise for Query-Focused Multi-Document Summarization. - Wenpeng Yin 001; Lifu Huang; Yulong Pei; Lian'en Huang (COLING, 2012)

Optimized Event Storyline Generation based on Mixture-Event-Aspect Model. - Lifu Huang; Lian'en Huang (EMNLP, 2013)

Comments-Oriented Document Summarization Based on Multi-aspect Co-feedback Ranking. - Lifu Huang; Hongjie Li; Lian'en Huang (WAIM, 2013)

Generating Supplementary Travel Guides from Social Media. - Liu Yang 005; Jing Jiang 001; Lifu Huang; Minghui Qiu; Lizi Liao (COLING, 2014)

Discovering Informative Contents of Web Pages. - Qifeng Fan; Chunwei Yan; Lifu Huang; Lian'en Huang (WAIM, 2014)

Comments-Oriented Summarization in Blogsphere Using a Two-Stage Sentence Similarity Measure. - Hongjie Li; Lifu Huang; Qifeng Fan; Lian'en Huang (WAIM, 2014)

Memory-Aware NoC Application Mapping Based on Adaptive Genetic Algorithm. - Yizhuo Wang 001; Zhibiao Zhang; Lifu Huang; Weixing Ji (ICA3PP (1), 2015)

RPI BLENDER TAC-KBP2015 System Description. - Yu Hong; Di Lu 003; Dian Yu 001; Xiaoman Pan; Xiaobin Wang; Yadong Chen; Lifu Huang; Heng Ji 001 (TAC, 2015)

A Language-Independent Neural Network for Event Detection. - Xiaocheng Feng; Lifu Huang; Duyu Tang; Heng Ji 001; Bing Qin 001; Ting Liu 001 (ACL (2), 2016)

Liberal Event Extraction and Event Schema Induction. - Lifu Huang; Taylor Cassidy; Xiaocheng Feng; Heng Ji 001; Clare R. Voss; Jiawei Han 001; Avirup Sil (ACL (1), 2016)

AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding. - Xiang Ren 001; Wenqi He; Meng Qu; Lifu Huang; Heng Ji 001; Jiawei Han 001 (EMNLP, 2016)

RPI BLENDER TAC-KBP2016 System Description. - Dian Yu 001; Xiaoman Pan; Boliang Zhang; Lifu Huang; Di Lu 003; Spencer Whitehead; Heng Ji 001 (TAC, 2016)

Building a Fine-Grained Entity Typing System Overnight for a New X (X = Language, Domain, Genre). - Lifu Huang; Jonathan May; Xiaoman Pan; Heng Ji 001 (CoRR, 2016)

Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding. - Yixin Cao 002; Lifu Huang; Heng Ji 001; Xu Chen 017; Juanzi Li (ACL (1), 2017)

Improving Slot Filling Performance with Attentive Neural Networks on Dependency Structures. - Lifu Huang; Avirup Sil; Heng Ji 001; Radu Florian (EMNLP, 2017)

Open Relation Extraction and Grounding. - Dian Yu 001; Lifu Huang; Heng Ji 001 (IJCNLP(1), 2017)

Improving Event Extraction via Multimodal Integration. - Tongtao Zhang; Spencer Whitehead; Hanwang Zhang; Hongzhi Li 001; Joseph G. Ellis; Lifu Huang; Wei Liu 005; Heng Ji 001; Shih-Fu Chang (ACM Multimedia, 2017)

TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction. - Mohamed Al-Badrashiny; Jason Bolton; Arun Tejasvi Chaganty; Kevin Clark; Craig Harman; Lifu Huang; Matthew Lamm; Jinhao Lei; Di Lu 003; Xiaoman Pan; Ashwin Paranjape; Ellie Pavlick; et al. (TAC, 2017)

RPI BLENDER TAC-KBP2017 13 Languages EDL System. - Boliang Zhang; Xiaoman Pan; Ying Lin; Tongtao Zhang; Kevin Blissett; Samia Kazemi; Spencer Whitehead; Lifu Huang; Heng Ji 001 (TAC, 2017)

Liberal Entity Extraction: Rapid Construction of Fine-Grained Entity Typing Systems. - Lifu Huang; Jonathan May; Xiaoman Pan; Heng Ji 001; Xiang Ren 001; Jiawei Han 001; Lin Zhao; James A. Hendler (Big Data, 2017)

Zero-Shot Transfer Learning for Event Extraction. - Lifu Huang; Heng Ji 001; Kyunghyun Cho; Clare R. Voss (CoRR, 2017)

Learning Phrase Embeddings from Paraphrases with GRUs. - Zhihao Zhou; Lifu Huang; Heng Ji 001 (CoRR, 2017)

Zero-Shot Transfer Learning for Event Extraction. - Lifu Huang; Heng Ji 001; Kyunghyun Cho; Ido Dagan; Sebastian Riedel 001; Clare R. Voss (ACL (1), 2018)

Paper Abstract Writing through Editing Mechanism. - Qingyun Wang 005; Zhihao Zhou; Lifu Huang; Spencer Whitehead; Boliang Zhang; Heng Ji 001; Kevin Knight (ACL (2), 2018)

Chengyu Cloze Test. - Zhiying Jiang; Boliang Zhang; Lifu Huang; Heng Ji 001 (BEA@NAACL-HLT, 2018)

Open-Schema Event Profiling for Massive News Corpora. - Quan Yuan 001; Xiang Ren 001; Wenqi He; Chao Zhang 014; Xinhe Geng; Lifu Huang; Heng Ji 001; Chin-Yew Lin; Jiawei Han 001 (CIKM, 2018)

Global Attention for Name Tagging. - Boliang Zhang; Spencer Whitehead; Lifu Huang; Heng Ji 001 (CoNLL, 2018)

Multi-lingual Common Semantic Space Construction via Cluster-Consistent Word Embedding. - Lifu Huang; Kyunghyun Cho; Boliang Zhang; Heng Ji 001; Kevin Knight (EMNLP, 2018)

Entity-aware Image Caption Generation. - Di Lu 003; Spencer Whitehead; Lifu Huang; Heng Ji 001; Shih-Fu Chang (EMNLP, 2018)

Genre Separation Network with Adversarial Training for Cross-genre Relation Extraction. - Ge Shi 002; Chong Feng 001; Lifu Huang; Boliang Zhang; Heng Ji 001; Lejian Liao; Heyan Huang (EMNLP, 2018)

Describing a Knowledge Base. - Qingyun Wang 005; Xiaoman Pan; Lifu Huang; Boliang Zhang; Zhiying Jiang; Heng Ji 001; Kevin Knight (INLG, 2018)

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 (NAACL-HLT, 2018)

GAIA - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System. - Tongtao Zhang; Ananya Subburathinam; Ge Shi 002; Lifu Huang; Di Lu 003; Xiaoman Pan; Manling Li; Boliang Zhang; Qingyun Wang 005; Spencer Whitehead; Heng Ji 001; Alireza Zareian; et al. (TAC, 2018)

PaperRobot: Incremental Draft Generation of Scientific Ideas. - Qingyun Wang 005; Lifu Huang; Zhiying Jiang; Kevin Knight; Heng Ji 001; Mohit Bansal; Yi Luan (ACL (1), 2019)

Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning. - Lifu Huang; Ronan Le Bras 001; Chandra Bhagavatula; Yejin Choi 001 (EMNLP/IJCNLP (1), 2019)

Cross-lingual Multi-Level Adversarial Transfer to Enhance Low-Resource Name Tagging. - Lifu Huang; Heng Ji 001; Jonathan May (NAACL-HLT (1), 2019)

Biomedical Event Extraction based on Knowledge-driven Tree-LSTM. - Diya Li; Lifu Huang; Heng Ji 001; Jiawei Han 001 (NAACL-HLT (1), 2019)

GAIA at SM-KBP 2019 - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System. - Manling Li; Ying Lin; Ananya Subburathinam; Spencer Whitehead; Xiaoman Pan; Di Lu 003; Qingyun Wang 005; Tongtao Zhang; Lifu Huang; Heng Ji 001; Alireza Zareian; Hassan Akbari; et al. (TAC, 2019)

Semi-supervised New Event Type Induction and Event Detection. - Lifu Huang; Heng Ji 001 (EMNLP (1), 2020)

ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis. - Qingyun Wang 005; Qi Zeng 001; Lifu Huang; Kevin Knight; Heng Ji 001; Nazneen Fatema Rajani (INLG, 2020)

Cold-start universal information extraction - Lifu Huang (2020)

How Knowledge Graph and Attention Help? A Qualitative Analysis into Bag-level Relation Extraction. - Zikun Hu; Yixin Cao 002; Lifu Huang; Tat-Seng Chua (ACL/IJCNLP (1), 2021)

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 001; Jiawei Han 001; Clare R. Voss (EMNLP (1), 2021)

Future is not One-dimensional: Graph Modeling based Complex Event Schema Induction for Event Prediction. - Manling Li; Sha Li; Zhenhailong Wang; Lifu Huang; Kyunghyun Cho; Heng Ji 001; Jiawei Han 001; Clare R. Voss (CoRR, 2021)

Extracting Temporal Event Relation with Syntactic-Guided Temporal Graph Transformer. - Shuaicheng Zhang; Lifu Huang; Qiang Ning (CoRR, 2021)

How Knowledge Graph and Attention Help? A Quantitative Analysis into Bag-level Relation Extraction. - Zikun Hu; Yixin Cao 002; Lifu Huang; Tat-Seng Chua (CoRR, 2021)

Expertise-Aware Truth Analysis and Task Allocation in Mobile Crowdsourcing. - Xiaomei Zhang 001; Yibo Wu; Lifu Huang; Heng Ji 001; Guohong Cao (IEEE Trans. Mob. Comput., 2021)

MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding. - Revanth Gangi Reddy; Xilin Rui; Manling Li; Xudong Lin 003; Haoyang Wen; Jaemin Cho 001; Lifu Huang; Mohit Bansal; Avirup Sil; Shih-Fu Chang; Alexander G. Schwing; Heng Ji 001 (AAAI, 2022)

PLANET: Dynamic Content Planning in Autoregressive Transformers for Long-form Text Generation. - Zhe Hu; Hou Pong Chan; Jiachen Liu; Xinyan Xiao; Hua Wu 003; Lifu Huang (ACL (1), 2022)

Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding. - Sijia Wang; Mo Yu; Shiyu Chang; Lichao Sun 001; Lifu Huang (ACL (Findings), 2022)

Towards Automatic Curation of Antibiotic Resistance Genes via Statement Extraction from Scientific Papers: A Benchmark Dataset and Models. - Sidhant Chandak; Liqing Zhang 002; Connor L. Brown; Lifu Huang (BioNLP@ACL, 2022)

Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection. - Minqian Liu; Shiyu Chang; Lifu Huang (COLING, 2022)

MOCHA: A Multi-Task Training Approach for Coherent Text Generation from Cognitive Perspective. - Zhe Hu; Hou Pong Chan; Lifu Huang (EMNLP, 2022)

Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation. - Kai Zhang 039; Yu Wang 158; Hongyi Wang 001; Lifu Huang; Carl Yang 001; Xun Chen; Lichao Sun 001 (EMNLP (Findings), 2022)

Extracting Temporal Event Relation with Syntax-guided Graph Transformer. - Shuaicheng Zhang; Qiang Ning; Lifu Huang (NAACL-HLT (Findings), 2022)

What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation. - Li Lin 011; Yixin Cao 002; Lifu Huang; Shu'ang Li 015; Xuming Hu; Lijie Wen 001; Jianmin Wang 001 (SIGIR, 2022)

Inferring Commonsense Explanations as Prompts for Future Event Generation. - Li Lin 011; Yixin Cao 002; Lifu Huang; Shu'ang Li 015; Xuming Hu; Lijie Wen 001; Jianmin Wang 001 (CoRR, 2022)

Efficient Long Sequence Encoding via Synchronization. - Xiangyang Mou; Mo Yu; Bingsheng Yao; Lifu Huang (CoRR, 2022)

Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation. - Kai Zhang 039; Yu Wang 158; Hongyi Wang 001; Lifu Huang; Carl Yang 001; Lichao Sun 001 (CoRR, 2022)

Identifying and Measuring Token-Level Sentiment Bias in Pre-trained Language Models with Prompts. - Apoorv Garg; Deval Srivastava; Zhiyang Xu; Lifu Huang (CoRR, 2022)

Probing Script Knowledge from Pre-Trained Models. - Zijian Jin; Xingyu Zhang; Mo Yu; Lifu Huang (CoRR, 2022)

Improve Event Extraction via Self-Training with Gradient Guidance. - Zhiyang Xu; Lifu Huang (CoRR, 2022)

Multimedia Generative Script Learning for Task Planning. - Qingyun Wang 005; Manling Li; Hou Pong Chan; Lifu Huang; Julia Hockenmaier; Girish Chowdhary 001; Heng Ji 001 (ACL (Findings), 2023)

Teamwork Is Not Always Good: An Empirical Study of Classifier Drift in Class-incremental Information Extraction. - Minqian Liu; Lifu Huang (ACL (Findings), 2023)

The Art of Prompting: Event Detection based on Type Specific Prompts. - Sijia Wang; Mo Yu; Lifu Huang (ACL (2), 2023)

Learning from a Friend: Improving Event Extraction via Self-Training with Feedback from Abstract Meaning Representation. - Zhiyang Xu; Jay Yoon Lee; Lifu Huang (ACL (Findings), 2023)

MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning. - Zhiyang Xu; Ying Shen 006; Lifu Huang (ACL (1), 2023)

RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training. - Jaehyung Kim 001; Yuning Mao; Rui Hou; Hanchao Yu; Davis Liang; Pascale Fung; Qifan Wang 001; Fuli Feng; Lifu Huang; Madian Khabsa (EMNLP (Findings), 2023)

The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models. - Jingyuan Qi; Zhiyang Xu; Ying Shen 006; Minqian Liu; Di Jin; Qifan Wang 001; Lifu Huang (EMNLP, 2023)

APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models. - Qifan Wang 001; Yuning Mao; Jingang Wang; Hanchao Yu; Shaoliang Nie; Sinong Wang; Fuli Feng; Lifu Huang; Xiaojun Quan; Zenglin Xu; Dongfang Liu (EMNLP, 2023)

Authentic Dialogue Generation to Improve Youth's Awareness of Cybergrooming for Online Safety. - Zhen Guo; Pei Wang; Lifu Huang; Jin-Hee Cho (ICTAI, 2023)

Understand the Dynamic World: An End-to-End Knowledge Informed Framework for Open Domain Entity State Tracking. - Mingchen Li; Lifu Huang (SIGIR, 2023)

End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models. - Barry Menglong Yao; Aditya Shah; Lichao Sun 001; Jin-Hee Cho; Lifu Huang (SIGIR, 2023)

ADEPT: Adapter-based Efficient Prompt Tuning Approach for Language Models. - Aditya Shah; Surendrabikram Thapa; Aneesh Jain; Lifu Huang (SustaiNLP, 2023)

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 (WWW (Companion Volume), 2023)

Rationalization for Explainable NLP: A Survey. - Sai Gurrapu; Ajay Kulkarni; Lifu Huang; Ismini Lourentzou; Laura J. Freeman; Feras A. Batarseh (CoRR, 2023)

ExClaim: Explainable Neural Claim Verification Using Rationalization. - Sai Gurrapu; Lifu Huang; Feras A. Batarseh (CoRR, 2023)

RE2: Region-Aware Relation Extraction from Visually Rich Documents. - Pritika Ramu; Sijia Wang; Lalla Mouatadid; Joy Rimchala; Lifu Huang (CoRR, 2023)

Iteratively Improving Biomedical Entity Linking and Event Extraction via Hard Expectation-Maximization. - Xiaochu Li; Minqian Liu; Zhiyang Xu; Lifu Huang (CoRR, 2023)

The Art of SOCRATIC QUESTIONING: Zero-shot Multimodal Reasoning with Recursive Thinking and Self-Questioning. - Jingyuan Qi; Zhiyang Xu; Ying Shen 006; Minqian Liu; Di Jin; Qifan Wang 001; Lifu Huang (CoRR, 2023)

A Survey of Document-Level Information Extraction. - Hanwen Zheng; Sijia Wang; Lifu Huang (CoRR, 2023)

Efficient Federated Prompt Tuning for Black-box Large Pre-trained Models. - Zihao Lin 003; Yan Sun; Yifan Shi; Xueqian Wang 001; Lifu Huang; Li Shen 008; Dacheng Tao (CoRR, 2023)

Rationalization for explainable NLP: a survey. - Sai Gurrapu; Ajay Kulkarni; Lifu Huang; Ismini Lourentzou; Feras A. Batarseh (Frontiers Artif. Intell., 2023)

MULTISCRIPT: Multimodal Script Learning for Supporting Open Domain Everyday Tasks. - Jingyuan Qi; Minqian Liu; Ying Shen 006; Zhiyang Xu; Lifu Huang (AAAI, 2024)

Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models. - Zihao Lin 003; Mohammad Beigi; Hongxuan Li; Yufan Zhou 001; Yuxiang Zhang; Qifan Wang 001; Wenpeng Yin 001; Lifu Huang (ACL (1), 2024)

Multimodal Instruction Tuning with Conditional Mixture of LoRA. - Ying Shen 001; Zhiyang Xu; Qifan Wang 001; Yu Cheng; Wenpeng Yin 001; Lifu Huang (ACL (1), 2024)

X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification. - Hanzi Xu; Muhao Chen 001; Lifu Huang; Slobodan Vucetic; Wenpeng Yin 001 (ACL (Findings), 2024)

Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning. - Zhiyang Xu; Chao Feng; Rulin Shao; Trevor Ashby; Ying Shen 006; Di Jin; Yu Cheng; Qifan Wang 001; Lifu Huang (ACL (Findings), 2024)

Ameli: Enhancing Multimodal Entity Linking with Fine-Grained Attributes. - Barry Menglong Yao; Sijia Wang; Yu Chen 022; Qifan Wang 001; Minqian Liu; Zhiyang Xu; Licheng Yu; Lifu Huang (EACL (1), 2024)

AMD: Automatic Multi-step Distillation of Large-Scale Vision Models. - Cheng Han 001; Qifan Wang 001; Sohail A. Dianat; Majid Rabbani; Raghuveer M. Rao; Yi Fang 008; Qiang Guan; Lifu Huang; Dongfang Liu (ECCV (65), 2024)

InternalInspector I²: Robust Confidence Estimation in LLMs through Internal States. - Mohammad Beigi; Ying Shen 006; Runing Yang; Zihao Lin 003; Qifan Wang 001; Ankith Mohan; Jianfeng He; Ming Jin 002; Chang-Tien Lu; Lifu Huang (EMNLP (Findings), 2024)

DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models. - Yiming Huang; Jianwen Luo; Yan Yu; Yitong Zhang; Fangyu Lei; Yifan Wei 001; Shizhu He; Lifu Huang; Xiao Liu; Jun Zhao 001; Kang Liu 001 (EMNLP, 2024)

Holistic Evaluation for Interleaved Text-and-Image Generation. - Minqian Liu; Zhiyang Xu; Zihao Lin 003; Trevor Ashby; Joy Rimchala; Jiaxin Zhang 005; Lifu Huang (EMNLP, 2024)

Debate as Optimization: Adaptive Conformal Prediction and Diverse Retrieval for Event Extraction. - Sijia Wang; Lifu Huang (EMNLP (Findings), 2024)

M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning. - Taowen Wang; Yiyang Liu 003; James Liang; Junhan Zhao; Yiming Cui 002; Yuning Mao; Shaoliang Nie; Jiahao Liu; Fuli Feng; Zenglin Xu; Cheng Han 001; Lifu Huang; et al. (EMNLP, 2024)

EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction. - Li Yang; Qifan Wang 001; Jianfeng Chi; Jiahao Liu; Jingang Wang; Fuli Feng; Zenglin Xu; Yi Fang 008; Lifu Huang; Dongfang Liu (EMNLP (Findings), 2024)

Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning? - Cheng Han 001; Qifan Wang 001; Yiming Cui 002; Wenguan Wang; Lifu Huang; Siyuan Qi; Dongfang Liu (ICLR, 2024)

Position: TrustLLM: Trustworthiness in Large Language Models. - Yue Huang; Lichao Sun 001; Haoran Wang 005; Siyuan Wu 001; Qihui Zhang; Yuan Li; Chujie Gao; Yixin Huang; Wenhan Lyu; Yixuan Zhang; Xiner Li; Hanchi Sun; et al. (ICML, 2024)

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 (INLG, 2024)

X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects. - Minqian Liu; Ying Shen 006; Zhiyang Xu; Yixin Cao 002; Eunah Cho; Vaibhav Kumar; Reza Ghanadan; Lifu Huang (NAACL-HLT, 2024)

RE²: Region-Aware Relation Extraction from Visually Rich Documents. - Pritika Ramu; Sijia Wang; Lalla Mouatadid; Joy Rimchala; Lifu Huang (NAACL-HLT, 2024)

Targeted Augmentation for Low-Resource Event Extraction. - Sijia Wang; Lifu Huang (NAACL-HLT (Findings), 2024)

Visual Fourier Prompt Tuning. - Runjia Zeng; Cheng Han 001; Qifan Wang 001; Chunshu Wu; Tong Geng; Lifu Huang; Ying Nian Wu; Dongfang Liu (NeurIPS, 2024)

TrustLLM: Trustworthiness in Large Language Models. - Lichao Sun 001; Yue Huang 001; Haoran Wang 005; Siyuan Wu 001; Qihui Zhang; Chujie Gao; Yixin Huang; Wenhan Lyu; Yixuan Zhang 001; Xiner Li; Zhengliang Liu; Yixin Liu 002; et al. (CoRR, 2024)

Many-to-many Image Generation with Auto-regressive Diffusion Models. - Ying Shen 006; Yizhe Zhang 002; Shuangfei Zhai; Lifu Huang; Joshua M. Susskind; Jiatao Gu (CoRR, 2024)

Generating A Crowdsourced Conversation Dataset to Combat Cybergrooming. - Xinyi Zhang; Pamela J. Wisniewski; Jin-Hee Cho; Lifu Huang; Sang Won Lee (CoRR, 2024)

InternalInspector I2: Robust Confidence Estimation in LLMs through Internal States. - Mohammad Beigi; Ying Shen 006; Runing Yang; Zihao Lin 003; Qifan Wang 001; Ankith Mohan; Jianfeng He; Ming Jin 002; Chang-Tien Lu; Lifu Huang (CoRR, 2024)

Lateralization LoRA: Interleaved Instruction Tuning with Modality-Specialized Adaptations. - Zhiyang Xu; Minqian Liu; Ying Shen 006; Joy Rimchala; Jiaxin Zhang 005; Qifan Wang 001; Yu Cheng; Lifu Huang (CoRR, 2024)

Foundation Models for Autonomous Robots in Unstructured Environments. - Hossein Naderi; Alireza Shojaei; Lifu Huang (CoRR, 2024)

M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning. - Taowen Wang; Yiyang Liu 003; James Chenhao Liang; Junhan Zhao; Yiming Cui 002; Yuning Mao; Shaoliang Nie; Jiahao Liu; Fuli Feng; Zenglin Xu; Cheng Han 001; Lifu Huang; et al. (CoRR, 2024)

Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models. - Haibo Wang; Zhiyang Xu; Yu Cheng; Shizhe Diao; Yufan Zhou 001; Yixin Cao 006; Qifan Wang 001; Weifeng Ge; Lifu Huang (CoRR, 2024)

SPARTUN3D: Situated Spatial Understanding of 3D World in Large Language Models. - Yue Zhang 004; Zhiyang Xu; Ying Shen 001; Parisa Kordjamshidi; Lifu Huang (CoRR, 2024)

RoRA-VLM: Robust Retrieval-Augmented Vision Language Models. - Jingyuan Qi; Zhiyang Xu; Rulin Shao; Yang Chen; Di Jin; Yu Cheng; Qifan Wang 001; Lifu Huang (CoRR, 2024)

Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models. - Mohammad Beigi; Sijia Wang; Ying Shen 006; Zihao Lin 003; Adithya Kulkarni; Jianfeng He; Feng Chen 001; Ming Jin 002; Jin-Hee Cho; Dawei Zhou 001; Chang-Tien Lu; Lifu Huang (CoRR, 2024)

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 002; Yusen Zhang 001; Jihyun Janice Ahn; Hongchao Fang; Zhuoyang Zou; et al. (CoRR, 2024)

Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents. - Zihao Lin 003; Zichao Wang 001; Yuanting Pan; Varun Manjunatha; Ryan A. Rossi; Angela Lau; Lifu Huang; Tong Sun 005 (CoRR, 2024)

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 010; Mingyu Derek Ma; Bangzheng Li; Haohui Wang; et al. (CoRR, 2024)

Trust it or not: Confidence-guided automatic radiology report generation. - Yixin Wang 003; Zihao Lin 003; Zhe Xu 012; Haoyu Dong; Jie Luo 003; Jiang Tian; Zhongchao Shi; Lifu Huang; Yang Zhang 002; Jianping Fan 007; Zhiqiang He 002 (Neurocomputing, 2024)

LLM Braces: Straightening Out LLM Predictions with Relevant Sub-Updates. - Ying Shen; Lifu Huang (ACL (1), 2025)

Inference Compute-Optimal Video Vision Language Models. - Peiqi Wang; ShengYun Peng; Xuewen Zhang; Hanchao Yu; Yibo Yang; Lifu Huang; Fujun Liu; Qifan Wang (ACL (1), 2025)

Error-driven Data-efficient Large Multimodal Model Tuning. - Barry Menglong Yao; Qifan Wang 001; Lifu Huang (ACL (1), 2025)

Re-Imagining Multimodal Instruction Tuning: A Representation View. - Yiyang Liu 003; James Chenhao Liang; Ruixiang Tang; Yugyung Lee; Majid Rabbani; Sohail A. Dianat; Raghuveer Rao; Lifu Huang; Dongfang Liu; Qifan Wang 001; Cheng Han 001 (ICLR, 2025)

SPARTUN3D: Situated Spatial Understanding of 3D World in Large Language Model. - Yue Zhang 004; Zhiyang Xu; Ying Shen 001; Parisa Kordjamshidi; Lifu Huang (ICLR, 2025)

Modality-Specialized Synergizers for Interleaved Vision-Language Generalists. - Zhiyang Xu; Minqian Liu; Ying Shen 006; Joy Rimchala; Jiaxin Zhang 005; Qifan Wang 001; Yu Cheng; Lifu Huang (ICLR, 2025)

DiPT: Enhancing LLM Reasoning through Diversified Perspective-Taking. - Hoang Anh Just; Mahavir Dabas; Lifu Huang; Ming Jin 002; Ruoxi Jia 001 (NAACL (Findings), 2025)

UniHGKR: Unified Instruction-aware Heterogeneous Knowledge Retrievers. - Dehai Min; Zhiyang Xu; Guilin Qi; Lifu Huang; Chenyu You (NAACL (Long Papers), 2025)

Advancing Chart Question Answering with Robust Chart Component Recognition. - Hanwen Zheng; Sijia Wang; Chris Thomas 004; Lifu Huang (WACV, 2025)

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 001; Dawei Zhou 003 (WWW (Companion Volume), 2025)

Trustworthy Visual-Textual Retrieval. - Yang Qin; Lifu Huang; Dezhong Peng; Bohan Jiang; Joey Tianyi Zhou; Xi Peng 001; Peng Hu 002 (IEEE Trans. Image Process., 2025)

Graph-based Confidence Calibration for Large Language Models. - Yukun Li; Sijia Wang; Lifu Huang; Liping Liu (Trans. Mach. Learn. Res., 2025)

A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models. - Zihao Lin 003; Samyadeep Basu; Mohammad Beigi; Varun Manjunatha; Ryan A. Rossi; Zichao Wang 001; Yufan Zhou 001; Sriram Balasubramanian; Arman Zarei; Keivan Rezaei; Ying Shen 006; Barry Menglong Yao; et al. (CoRR, 2025)

Toward Integrated Solutions: A Systematic Interdisciplinary Review of Cybergrooming Research. - Heajun An; Marcos Silva; Qi Zhang; Arav Singh; Minqian Liu; Xinyi Zhang; Sarvech Qadir; Sang Won Lee; Lifu Huang; Pamela Wisnieswski; Jin-Hee Cho (CoRR, 2025)

Could AI Trace and Explain the Origins of AI-Generated Images and Text? - Hongchao Fang; Yixin Liu 002; Jiangshu Du; Can Qin; Ran Xu 001; Feng Liu; Lichao Sun 001; Dongwon Lee; Lifu Huang; Wenpeng Yin 001 (CoRR, 2025)

LLM Can be a Dangerous Persuader: Empirical Study of Persuasion Safety in Large Language Models. - Minqian Liu; Zhiyang Xu; Xinyi Zhang; Heajun An; Sarvech Qadir; Qi Zhang; Pamela J. Wisniewski; Jin-Hee Cho; Sang Won Lee; Ruoxi Jia 001; Lifu Huang (CoRR, 2025)

Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks. - Yixin Cao 002; Shibo Hong; Xinze Li; Jiahao Ying; Yubo Ma; Haiyuan Liang; Yantao Liu; Zijun Yao 002; Xiaozhi Wang; Dan Huang; Wenxuan Zhang 001; Lifu Huang; et al. (CoRR, 2025)

Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions. - Adithya Kulkarni; Fatimah Alotaibi; Xinyue Zeng; Longfeng Wu; Tong Zeng; Barry Menglong Yao; Minqian Liu; Shuaicheng Zhang; Lifu Huang; Dawei Zhou 003 (CoRR, 2025)

BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset. - Jiuhai Chen; Zhiyang Xu; Xichen Pan; Yushi Hu; Can Qin; Tom Goldstein; Lifu Huang; Tianyi Zhou 001; Saining Xie; Silvio Savarese; Le Xue; Caiming Xiong; et al. (CoRR, 2025)

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 001; Ling Li; Wei Wang 010; et al. (CoRR, 2025)

R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation. - Kaijie Chen; Zihao Lin 003; Zhiyang Xu; Ying Shen 006; Yuguang Yao; Joy Rimchala; Jiaxin Zhang 005; Lifu Huang (CoRR, 2025)

LaTtE-Flow: Layerwise Timestep-Expert Flow-based Transformer. - Ying Shen 006; Zhiyang Xu; Jiuhai Chen; Shizhe Diao; Jiaxin Zhang 005; Yuguang Yao; Joy Rimchala; Ismini Lourentzou; Lifu Huang (CoRR, 2025)

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation. - Jingyuan Qi; Zhiyang Xu; Qifan Wang 001; Lifu Huang (CoRR, 2025)

Pisces: An Auto-regressive Foundation Model for Image Understanding and Generation. - Zhiyang Xu; Jiuhai Chen; Zhaojiang Lin; Xichen Pan; Lifu Huang; Tianyi Zhou 001; Madian Khabsa; Qifan Wang 001; Di Jin; Michihiro Yasunaga; Lili Yu; Xi Victoria Lin; et al. (CoRR, 2025)

VIDEE: Visual and Interactive Decomposition, Execution, and Evaluation of Text Analytics with Intelligent Agents. - Sam Yu-Te Lee; Chengyang Ji; Shicheng Wen; Lifu Huang; Dongyi Liu; Kwan-Liu Ma (CoRR, 2025)