Caiming Xiong

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 451

Top Venues

Publications

Yusen Zhang, Nan Zhang, Yixin Liu, Alexander R. Fabbri, Junru Liu, Ryo Kamoi, Xiaoxin Lu, Caiming Xiong, Jieyu Zhao, Dragomir Radev, Kathleen R. McKeown, Rui Zhang
Fair Abstractive Summarization of Diverse Perspectives. NAACL-HLT (2024)
Shiyu Wang, Yihao Feng, Tian Lan, Ning Yu, Yu Bai, Ran Xu, Huan Wang, Caiming Xiong, Silvio Savarese
Text2Data: Low-Resource Data Generation with Textual Control. CoRR (2024)
Shayne Longpre, Robert Mahari, Ariel Lee, Campbell Lund, Hamidah Oderinwale, William Brannon, Nayan Saxena, Naana Obeng-Marnu, Tobin South, Cole Hunter, Kevin Klyman, Christopher Klamm, Hailey Schoelkopf, Nikhil Singh, Manuel Cherep, Ahmad Anis, An Dinh, Caroline Chitongo, Da Yin, Damien Sileo, Deividas Mataciunas, Diganta Misra, Emad A. Alghamdi, Enrico Shippole, Jianguo Zhang, Joanna Materzynska, Kun Qian, Kush Tiwary, Lester James V. Miranda, Manan Dey, Minnie Liang, Mohammed Hamdy, Niklas Muennighoff, Seonghyeon Ye, Seungone Kim, Shrestha Mohanty, Vipul Gupta, Vivek Sharma, Vu Minh Chien, Xuhui Zhou, Yizhi Li, Caiming Xiong, Luis Villa, Stella Biderman, Hanlin Li, Daphne Ippolito, Sara Hooker, Jad Kabbara, Sandy Pentland
Consent in Crisis: The Rapid Decline of the AI Data Commons. CoRR (2024)
Mathieu Ravaut, Bosheng Ding, Fangkai Jiao, Hailin Chen, Xingxuan Li, Ruochen Zhao, Chengwei Qin, Caiming Xiong, Shafiq Joty
How Much are LLMs Contaminated? A Comprehensive Survey and the LLMSanitize Library. CoRR (2024)
Yilun Zhou, Caiming Xiong, Silvio Savarese, Chien-Sheng Wu
Shared Imagination: LLMs Hallucinate Alike. CoRR (2024)
Anas Awadalla, Le Xue, Oscar Lo, Manli Shu, Hannah Lee, Etash Kumar Guha, Matt Jordan, Sheng Shen, Mohamed Awadalla, Silvio Savarese, Caiming Xiong, Ran Xu, Yejin Choi, Ludwig Schmidt
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens. CoRR (2024)
Anthony Meng Huat Tiong, Junqi Zhao, Boyang Li, Junnan Li, Steven C. H. Hoi, Caiming Xiong
What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases. NAACL-HLT (2024)
Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo
Unified Training of Universal Time Series Forecasting Transformers. CoRR (2024)
Zuxin Liu, Thai Hoang, Jianguo Zhang, Ming Zhu, Tian Lan, Shirley Kokane, Juntao Tan, Weiran Yao, Zhiwei Liu, Yihao Feng, Rithesh Murthy, Liangwei Yang, Silvio Savarese, Juan Carlos Niebles, Huan Wang, Shelby Heinecke, Caiming Xiong
APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets. CoRR (2024)
Congying Xia, Chen Xing, Jiangshu Du, Xinyi Yang, Yihao Feng, Ran Xu, Wenpeng Yin, Caiming Xiong
FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability. ACL (1) (2024)
Juncheng Liu, Chenghao Liu, Gerald Woo, Yiwei Wang, Bryan Hooi, Caiming Xiong, Doyen Sahoo
UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting. CoRR (2024)
Yuhui Xu, Zhanming Jie, Hanze Dong, Lei Wang, Xudong Lu, Aojun Zhou, Amrita Saha, Caiming Xiong, Doyen Sahoo
ThinK: Thinner Key Cache by Query-Driven Pruning. CoRR (2024)
Itai Feigenbaum, Devansh Arpit, Huan Wang, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Silvio Savarese
Causal Layering via Conditional Entropy. 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)
Tianyu Guo, Wei Hu, Song Mei, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai
How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations. ICLR (2024)
Congying Xia, Chen Xing, Jiangshu Du, Xinyi Yang, Yihao Feng, Ran Xu, Wenpeng Yin, Caiming Xiong
FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability. CoRR (2024)
Lifu Tu, Jin Qu, Semih Yavuz, Shafiq Joty, Wenhao Liu, Caiming Xiong, Yingbo Zhou
Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning. EACL (Findings) (2024)
Itai Feigenbaum, Devansh Arpit, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Silvio Savarese, Huan Wang
Causal Layering via Conditional Entropy. CLeaR (2024)
Jianguo Zhang, Kun Qian, Zhiwei Liu, Shelby Heinecke, Rui Meng, Ye Liu, Zhou Yu, Huan Wang, Silvio Savarese, Caiming Xiong
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI. EACL (Findings) (2024)
Philippe Laban, Alexander R. Fabbri, Caiming Xiong, Chien-Sheng Wu
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems. CoRR (2024)
Tianbao Xie, Danyang Zhang, Jixuan Chen, Xiaochuan Li, Siheng Zhao, Ruisheng Cao, Toh Jing Hua, Zhoujun Cheng, Dongchan Shin, Fangyu Lei, Yitao Liu, Yiheng Xu, Shuyan Zhou, Silvio Savarese, Caiming Xiong, Victor Zhong, Tao Yu
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments. CoRR (2024)
Manli Shu, Le Xue, Ning Yu, Roberto Martín-Martín, Caiming Xiong, Tom Goldstein, Juan Carlos Niebles, Ran Xu
Hierarchical Point Attention for Indoor 3D Object Detection. ICRA (2024)
Divyansh Agarwal, Alexander R. Fabbri, Philippe Laban, Ben Risher, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu
Investigating the prompt leakage effect and black-box defenses for multi-turn LLM interactions. CoRR (2024)
Kung-Hsiang Huang, Philippe Laban, Alexander R. Fabbri, Prafulla Kumar Choubey, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu
Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles. NAACL-HLT (2024)
Rithesh Murthy, Liangwei Yang, Juntao Tan, Tulika Manoj Awalgaonkar, Yilun Zhou, Shelby Heinecke, Sachin Desai, Jason Wu, Ran Xu, Sarah Tan, Jianguo Zhang, Zhiwei Liu, Shirley Kokane, Zuxin Liu, Ming Zhu, Huan Wang, Caiming Xiong, Silvio Savarese
MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases. CoRR (2024)
Itai Feigenbaum, Devansh Arpit, Huan Wang, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Silvio Savarese
Editing Arbitrary Propositions in LLMs without Subject Labels. CoRR (2024)
Bo Pang, Caiming Xiong, Yingbo Zhou
ARM: Alignment with Residual Energy-Based Model. NAACL-HLT (2024)
Hung Le, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Doyen Sahoo
INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness. CoRR (2024)
Jiacheng Guo, Minshuo Chen, Huan Wang, Caiming Xiong, Mengdi Wang, Yu Bai
Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight. ICLR (2024)
Anthony Meng Huat Tiong, Junqi Zhao, Boyang Li, Junnan Li, Steven C. H. Hoi, Caiming Xiong
What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases. CoRR (2024)
Jianguo Zhang, Tian Lan, Rithesh Murthy, Zhiwei Liu, Weiran Yao, Juntao Tan, Thai Hoang, Liangwei Yang, Yihao Feng, Zuxin Liu, Tulika Manoj Awalgaonkar, Juan Carlos Niebles, Silvio Savarese, Shelby Heinecke, Huan Wang, Caiming Xiong
AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning. CoRR (2024)
Hanze Dong, Wei Xiong, Bo Pang, Haoxiang Wang, Han Zhao, Yingbo Zhou, Nan Jiang, Doyen Sahoo, Caiming Xiong, Tong Zhang
RLHF Workflow: From Reward Modeling to Online RLHF. CoRR (2024)
Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh R. N., Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. ICLR (2024)
Tong Niu, Caiming Xiong, Semih Yavuz, Yingbo Zhou
Parameter-Efficient Detoxification with Contrastive Decoding. CoRR (2024)
Zhiwei Liu, Weiran Yao, Jianguo Zhang, Liangwei Yang, Zuxin Liu, Juntao Tan, Prafulla Kumar Choubey, Tian Lan, Jason Wu, Huan Wang, Shelby Heinecke, Caiming Xiong, Silvio Savarese
AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System. CoRR (2024)
David Junhao Zhang, Dongxu Li, Hung Le, Mike Zheng Shou, Caiming Xiong, Doyen Sahoo
Moonshot: Towards Controllable Video Generation and Editing with Multimodal Conditions. CoRR (2024)
Ruisheng Cao, Fangyu Lei, Haoyuan Wu, Jixuan Chen, Yeqiao Fu, Hongcheng Gao, Xinzhuang Xiong, Hanchong Zhang, Yuchen Mao, Wenjing Hu, Tianbao Xie, Hongshen Xu, Danyang Zhang, Sida Wang, Ruoxi Sun, Pengcheng Yin, Caiming Xiong, Ansong Ni, Qian Liu, Victor Zhong, Lu Chen, Kai Yu, Tao Yu
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows? CoRR (2024)
Liangwei Yang, Zhiwei Liu, Jianguo Zhang, Rithesh Murthy, Shelby Heinecke, Huan Wang, Caiming Xiong, Philip S. Yu
Personalized Multi-task Training for Recommender System. CoRR (2024)
Yiheng Xu, Hongjin Su, Chen Xing, Boyu Mi, Qian Liu, Weijia Shi, Binyuan Hui, Fan Zhou, Yitao Liu, Tianbao Xie, Zhoujun Cheng, Siheng Zhao, Lingpeng Kong, Bailin Wang, Caiming Xiong, Tao Yu
Lemur: Harmonizing Natural Language and Code for Language Agents. ICLR (2024)
Yu Bai, Fan Chen, Huan Wang, Caiming Xiong, Song Mei
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection. NeurIPS (2023)
Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild. CoRR (2023)
Philippe Laban, Jesse Vig, Wojciech Kryscinski, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu
SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages. ACL (1) (2023)
Can Qin, Ning Yu, Chen Xing, Shu Zhang, Zeyuan Chen, Stefano Ermon, Yun Fu, Caiming Xiong, Ran Xu
GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation. ICCV (2023)
Tianbao Xie, Fan Zhou, Zhoujun Cheng, Peng Shi, Luoxuan Weng, Yitao Liu, Toh Jing Hua, Junning Zhao, Qian Liu, Che Liu, Leo Z. Liu, Yiheng Xu, Hongjin Su, Dongchan Shin, Caiming Xiong, Tao Yu
OpenAgents: An Open Platform for Language Agents in the Wild. CoRR (2023)
Kung-Hsiang Huang, Philippe Laban, Alexander R. Fabbri, Prafulla Kumar Choubey, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu
Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles. CoRR (2023)
Philippe Laban, Jesse Vig, Marti A. Hearst, Caiming Xiong, Chien-Sheng Wu
Beyond the Chat: Executable and Verifiable Text-Editing with LLMs. CoRR (2023)
Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Shafiq Joty, Yingbo Zhou
HPE: Answering Complex Questions over Text by Hybrid Question Parsing and Execution. EMNLP (Findings) (2023)
Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang, Caiming Xiong, Mingyuan Zhou, Huan Wang
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems. ICLR (2023)
Jianguo Zhang, Stephen Roller, Kun Qian, Zhiwei Liu, Rui Meng, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System. CoRR (2023)
Can Qin, Ning Yu, Chen Xing, Shu Zhang, Zeyuan Chen, Stefano Ermon, Yun Fu, Caiming Xiong, Ran Xu
GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation. CoRR (2023)
Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. CoRR (2023)
Artemis Panagopoulou, Le Xue, Ning Yu, Junnan Li, Dongxu Li, Shafiq Joty, Ran Xu, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles
X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning. CoRR (2023)
Erik Nijkamp, Tian Xie, Hiroaki Hayashi, Bo Pang, Congying Xia, Chen Xing, Jesse Vig, Semih Yavuz, Philippe Laban, Ben Krause, Senthil Purushwalkam, Tong Niu, Wojciech Kryscinski, Lidiya Murakhovs'ka, Prafulla Kumar Choubey, Alexander R. Fabbri, Ye Liu, Rui Meng, Lifu Tu, Meghana Bhat, Chien-Sheng Wu, Silvio Savarese, Yingbo Zhou, Shafiq Joty, Caiming Xiong
XGen-7B Technical Report. CoRR (2023)
Philippe Laban, Wojciech Kryscinski, Divyansh Agarwal, Alexander R. Fabbri, Caiming Xiong, Shafiq Joty, Chien-Sheng Wu
SummEdits: Measuring LLM Ability at Factual Reasoning Through The Lens of Summarization. EMNLP (2023)
Tianyu Guo, Wei Hu, Song Mei, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai
How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations. CoRR (2023)
Fan Chen, Huan Wang, Caiming Xiong, Song Mei, Yu Bai
Lower Bounds for Learning in Revealing POMDPs. CoRR (2023)
Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh Murthy, Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. CoRR (2023)
Fan Chen, Huan Wang, Caiming Xiong, Song Mei, Yu Bai
Lower Bounds for Learning in Revealing POMDPs. ICML (2023)
Le Xue, Mingfei Gao, Chen Xing, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding. CVPR (2023)
Philippe Laban, Lidiya Murakhovs'ka, Caiming Xiong, Chien-Sheng Wu
Are You Sure? Challenging LLMs Leads to Performance Drops in The FlipFlop Experiment. CoRR (2023)
Philippe Laban, Wojciech Kryscinski, Divyansh Agarwal, Alexander R. Fabbri, Caiming Xiong, Shafiq Joty, Chien-Sheng Wu
LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond. CoRR (2023)
Bo Pang, Erik Nijkamp, Wojciech Kryscinski, Silvio Savarese, Yingbo Zhou, Caiming Xiong
Long Document Summarization with Top-down and Bottom-up Inference. EACL (Findings) (2023)
Anthony Meng Huat Tiong, Junnan Li, Guosheng Lin, Boyang Li, Caiming Xiong, Steven C. H. Hoi
Improving Tail-Class Representation with Centroid Contrastive Learning. Pattern Recognit. Lett. 168 (2023)
Rithesh Murthy, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Le Xue, Weiran Yao, Yihao Feng, Zeyuan Chen, Akash Gokul, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese
REX: Rapid Exploration and eXploitation for AI Agents. CoRR (2023)
Bram Wallace, Meihua Dang, Rafael Rafailov, Linqi Zhou, Aaron Lou, Senthil Purushwalkam, Stefano Ermon, Caiming Xiong, Shafiq Joty, Nikhil Naik
Diffusion Model Alignment Using Direct Preference Optimization. CoRR (2023)
Shu Zhang, Xinyi Yang, Yihao Feng, Can Qin, Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu
HIVE: Harnessing Human Feedback for Instructional Visual Editing. CoRR (2023)
Eric Zhao, Alexander R. Trott, Caiming Xiong, Stephan Zheng
Learning to Play General-Sum Games against Multiple Boundedly Rational Agents. AAAI (2023)
Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka, Xiang 'Anthony' Chen, Caiming Xiong
Designing and Evaluating Interfaces that Highlight News Coverage Diversity Using Discord Questions. CoRR (2023)
Zahra Fatemi, Chen Xing, Wenhao Liu, Caiming Xiong
Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting. ACL (2) (2023)
Hiroaki Hayashi, Wojciech Kryscinski, Bryan McCann, Nazneen Rajani, Caiming Xiong
What's New? Summarizing Contributions in Scientific Literature. EACL (2023)
Lidiya Murakhovs'ka, Philippe Laban, Tian Xie, Caiming Xiong, Chien-Sheng Wu
Salespeople vs SalesBot: Exploring the Role of Educational Value in Conversational Recommender Systems. CoRR (2023)
Philippe Laban, Jesse Vig, Wojciech Kryscinski, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu
SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages. CoRR (2023)
Yixin Liu, Alexander R. Fabbri, Yilun Zhao, Pengfei Liu, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev
Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation. EMNLP (2023)
Lifu Tu, Semih Yavuz, Jin Qu, Jiacheng Xu, Rui Meng, Caiming Xiong, Yingbo Zhou
Unlocking Anticipatory Text Generation: A Constrained Approach for Faithful Decoding with Large Language Models. CoRR (2023)
Lifu Tu, Jin Qu, Semih Yavuz, Shafiq Joty, Wenhao Liu, Caiming Xiong, Yingbo Zhou
Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning. CoRR (2023)
Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. CIKM (2023)
Itai Feigenbaum, Huan Wang, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Devansh Arpit
On the Unlikelihood of D-Separation. CoRR (2023)
Xiang, Chien-Sheng Wu, Lidiya Murakhovs'ka, Philippe Laban, Tong Niu, Wenhao Liu, Caiming Xiong
Marvista: Exploring the Design of a Human-AI Collaborative News Reading Tool. ACM Trans. Comput. Hum. Interact. 30 (6) (2023)
Jiacheng Guo, Minshuo Chen, Huan Wang, Caiming Xiong, Mengdi Wang, Yu Bai
Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight. CoRR (2023)
Zhoujun Cheng, Tianbao Xie, Peng Shi, Chengzu Li, Rahul Nadkarni, Yushi Hu, Caiming Xiong, Dragomir Radev, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu
Binding Language Models in Symbolic Languages. ICLR (2023)
Prafulla Kumar Choubey, Alexander R. Fabbri, Caiming Xiong, Chien-Sheng Wu
Lexical Repetitions Lead to Rote Learning: Unveiling the Impact of Lexical Overlap in Train and Test Reference Summaries. CoRR (2023)
Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis. ICLR (2023)
Zhiwei Liu, Weiran Yao, Jianguo Zhang, Le Xue, Shelby Heinecke, Rithesh Murthy, Yihao Feng, Zeyuan Chen, Juan Carlos Niebles, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese
BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents. CoRR (2023)
Jianguo Zhang, Kun Qian, Zhiwei Liu, Shelby Heinecke, Rui Meng, Ye Liu, Zhou Yu, Huan Wang, Silvio Savarese, Caiming Xiong
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI. CoRR (2023)
Fan Yin, Jesse Vig, Philippe Laban, Shafiq Joty, Caiming Xiong, Chien-Sheng Jason Wu
Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning. CoRR (2023)
Lidiya Murakhovs'ka, Philippe Laban, Tian Xie, Caiming Xiong, Chien-Sheng Wu
Salespeople vs SalesBot: Exploring the Role of Educational Value in Conversational Recommender Systems. EMNLP (Findings) (2023)
Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild. NeurIPS (2023)
Manli Shu, Le Xue, Ning Yu, Roberto Martín-Martín, Juan Carlos Niebles, Caiming Xiong, Ran Xu
Model-Agnostic Hierarchical Attention for 3D Object Detection. CoRR (2023)
Yu Bai, Fan Chen, Huan Wang, Caiming Xiong, Song Mei
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection. CoRR (2023)
Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka, Xiang 'Anthony' Chen, Caiming Xiong
Designing and Evaluating Interfaces that Highlight News Coverage Diversity Using Discord Questions. CHI (2023)
Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Yingbo Zhou
Answering Complex Questions over Text by Hybrid Question Parsing and Execution. CoRR (2023)
Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Yu Bai
Improved Online Conformal Prediction via Strongly Adaptive Online Learning. ICML (2023)
Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Yilun Zhao, Linyong Nan, Ruilin Han, Simeng Han, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation. ACL (1) (2023)
Ansong Ni, Pengcheng Yin, Yilun Zhao, Martin Riddell, Troy Feng, Rui Shen, Stephen Yin, Ye Liu, Semih Yavuz, Caiming Xiong, Shafiq Joty, Yingbo Zhou, Dragomir Radev, Arman Cohan
L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models. CoRR (2023)
Shentao Yang, Shujian Zhang, Congying Xia, Yihao Feng, Caiming Xiong, Mingyuan Zhou
Preference-grounded Token-level Guidance for Language Model Fine-tuning. NeurIPS (2023)
Ye Liu, Semih Yavuz, Rui Meng, Meghana Moorthy, Shafiq Joty, Caiming Xiong, Yingbo Zhou
Exploring the Integration Strategies of Retriever and Large Language Models. CoRR (2023)
Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K. C. Krithika, Sukumar Maddineni, Dae-ki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven C. H. Hoi, Huan Wang
Merlion: End-to-End Machine Learning for Time Series. J. Mach. Learn. Res. 24 (2023)
Prafulla Kumar Choubey, Alexander R. Fabbri, Caiming Xiong, Chien-Sheng Wu
Lexical Repetitions Lead to Rote Learning: Unveiling the Impact of Lexical Overlap in Train and Test Reference Summaries. EMNLP (Findings) (2023)
Jiacheng Xu, Caiming Xiong, Silvio Savarese, Yingbo Zhou
Best-k Search Algorithm for Neural Text Generation. ACL (1) (2023)
Shentao Yang, Shujian Zhang, Congying Xia, Yihao Feng, Caiming Xiong, Mingyuan Zhou
Preference-grounded Token-level Guidance for Language Model Fine-tuning. CoRR (2023)

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Publication Activity (10 Years)

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Caiming Xiong