Caiming Xiong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
232
Venues
33
Active years
2011–2026
Best venue rank
A*
Where they publish
- A*EMNLP48 papers
- A*ICLR40 papers
- A*ACL37 papers
- A*CVPR17 papers
- A*ICML17 papers
- ANAACL16 papers
- A*AAAI8 papers
- A*ICCV7 papers
- AEACL6 papers
- A*ECCV6 papers
- AInterspeech3 papers
- A*ICRA2 papers
- ACIKM2 papers
- A*SIGIR2 papers
- AUAI2 papers
- AWACV2 papers
- A*UIST1 paper
- A*CHI1 paper
- AICDAR1 paper
- BSIGdial1 paper
- BCOLING1 paper
- A*ICSE1 paper
- A*WWW1 paper
- AWSDM1 paper
- CAIES1 paper
- AAISTATS1 paper
- NationalAMTA1 paper
- BACCV1 paper
- MulticonferenceICASSP1 paper
- CIGARSS1 paper
- ASDM1 paper
- BICIP1 paper
- A*KDD1 paper
Papers
232 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models. | Zhiyuan Hu, Yibo Wang, Hanze Dong, Yuhui Xu, Amrita Saha, Caiming Xiong, Bryan Hooi, Junnan Li |
| 2026 | ACL | Hard2Verify: A Step-Level Verification Benchmark for Open-Ended Frontier Math. | Shrey Pandit, Austin Xu, Xuan-Phi Nguyen, Yifei Ming, Caiming Xiong, Shafiq Joty |
| 2026 | ACL | J4R: Learning to Judge with Equivalent Initial State Group Relative Policy Optimization. | Austin Xu, Yilun Zhou, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty |
| 2026 | ACL | From Passive Metric to Active Signal: The Evolving Role of Uncertainty Quantification in Large Language Models. | Jiaxin Zhang, Wendi Cui, Zhuohang Li, Lifu Huang, Bradley A. Malin, Caiming Xiong, Chien-Sheng Wu |
| 2025 | AAAI | Text2Data: Low-Resource Data Generation with Textual Control. | Shiyu Wang, Yihao Feng, Tian Lan, Ning Yu, Yu Bai, Ran Xu, Huan Wang, Caiming Xiong, Silvio Savarese |
| 2025 | ACL | Turning Conversations into Workflows: A Framework to Extract and Evaluate Dialog Workflows for Service AI Agents. | Prafulla Kumar Choubey, Xiangyu Peng, Shilpa Bhagavath, Caiming Xiong, Shiva Kumar Pentyala, Chien-Sheng Wu |
| 2025 | ACL | LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback. | Thai Quoc Hoang, Kung-Hsiang Huang, Shirley Kokane, Jianguo Zhang, Zuxin Liu, Ming Zhu, Jake Grigsby, Tian Lan, Michael S. Ryoo, Chien-Sheng Wu, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles |
| 2025 | ACL | Why Vision Language Models Struggle with Visual Arithmetic? Towards Enhanced Chart and Geometry Understanding. | Kung-Hsiang Huang, Can Qin, Haoyi Qiu, Philippe Laban, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu |
| 2025 | ACL | Unanswerability Evaluation for Retrieval Augmented Generation. | Xiangyu Peng, Prafulla Kumar Choubey, Caiming Xiong, Chien-Sheng Wu |
| 2025 | ACL | PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data. | Juntao Tan, Liangwei Yang, Zuxin Liu, Zhiwei Liu, Rithesh R. N., Tulika Manoj Awalgaonkar, Jianguo Zhang, Weiran Yao, Ming Zhu, Shirley Kokane, Silvio Savarese, Huan Wang, Caiming Xiong, Shelby Heinecke |
| 2025 | ACL | Generative Frame Sampler for Long Video Understanding. | Linli Yao, Haoning Wu, Kun Ouyang, Yuanxing Zhang, Caiming Xiong, Bei Chen, Xu Sun, Junnan Li |
| 2025 | CVPR | ViUniT: Visual Unit Tests for More Robust Visual Programming. | Artemis Panagopoulou, Honglu Zhou, Silvio Savarese, Caiming Xiong, Chris Callison-Burch, Mark Yatskar, Juan Carlos Niebles |
| 2025 | EMNLP | MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models. | Zhiwei Liu, Jielin Qiu, Shiyu Wang, Jianguo Zhang, Zuxin Liu, Roshan Ram, Haolin Chen, Weiran Yao, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong |
| 2025 | EMNLP | SlackAgents: Scalable Collaboration of AI Agents in Workspaces. | Zhiwei Liu, Weiran Yao, Zuxin Liu, Juntao Tan, Jianguo Zhang, Frank Wang, Sukhandeep Nahal, Huan Wang, Shelby Heinecke, Silvio Savarese, Caiming Xiong |
| 2025 | EMNLP | Benchmarking Deep Search over Heterogeneous Enterprise Data. | Prafulla Kumar Choubey, Xiangyu Peng, Shilpa Bhagavath, Kung-Hsiang Huang, Caiming Xiong, Chien-Sheng Wu |
| 2025 | EMNLP | Demystifying Domain-adaptive Post-training for Financial LLMs. | Zixuan Ke, Yifei Ming, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty |
| 2025 | EMNLP | LATTE: Learning to Think with Vision Specialists. | Zixian Ma, Jianguo Zhang, Zhiwei Liu, Jieyu Zhang, Juntao Tan, Manli Shu, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Caiming Xiong, Ranjay Krishna, Silvio Savarese |
| 2025 | EMNLP | Contra4: Evaluating Contrastive Cross-Modal Reasoning in Audio, Video, Image, and 3D. | Artemis Panagopoulou, Le Xue, Honglu Zhou, Silvio Savarese, Ran Xu, Caiming Xiong, Chris Callison-Burch, Mark Yatskar, Juan Carlos Niebles |
| 2025 | EMNLP | Direct Judgement Preference Optimization. | Peifeng Wang, Austin Xu, Yilun Zhou, Caiming Xiong, Shafiq Joty |
| 2025 | EMNLP | ActionStudio: A Lightweight Framework for Data and Training of Large Action Models. | Jianguo Zhang, Thai Hoang, Ming Zhu, Zuxin Liu, Shiyu Wang, Tulika Awalgaonkar, Akshara Prabhakar, Haolin Chen, Weiran Yao, Zhiwei Liu, Juntao Tan, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong |
| 2025 | ICCV | Trust but Verify: Programmatic VLM Evaluation in the Wild. | Viraj Prabhu, Senthil Purushwalkam, An Yan, Caiming Xiong, Ran Xu |
| 2025 | ICCV | BLIP-3: A Family of Open Large Multimodal Models. | Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Shao-Yen Tseng, Gustavo A. Lujan-Moreno, Matthew L. Olson, Musashi Hinck, David Cobbley, Vasudev Lal, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu |
| 2025 | ICCV | Strefer: Empowering Video LLMs with Space-Time Referring and Reasoning via Synthetic Instruction Data. | Honglu Zhou, Xiangyu Peng, Shrikant Kendre, Michael S. Ryoo, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles |
| 2025 | ICLR | GReaTer: Gradients Over Reasoning Makes Smaller Language Models Strong Prompt Optimizers. | Sarkar Snigdha Sarathi Das, Ryo Kamoi, Bo Pang, Yusen Zhang, Caiming Xiong, Rui Zhang |
| 2025 | ICLR | Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows. | Fangyu Lei, Jixuan Chen, Yuxiao Ye, Ruisheng Cao, Dongchan Shin, Hongjin Su, Zhaoqing Suo, Hongcheng Gao, Wenjing Hu, Pengcheng Yin, Victor Zhong, Caiming Xiong, Ruoxi Sun, Qian Liu, Sida Wang, Tao Yu |
| 2025 | ICLR | FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows". | Yifei Ming, Senthil Purushwalkam, Shrey Pandit, Zixuan Ke, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty |
| 2025 | ICLR | ReGenesis: LLMs can Grow into Reasoning Generalists via Self-Improvement. | Xiangyu Peng, Congying Xia, Xinyi Yang, Caiming Xiong, Chien-Sheng Wu, Chen Xing |
| 2025 | ICLR | ThinK: Thinner Key Cache by Query-Driven Pruning. | Yuhui Xu, Zhanming Jie, Hanze Dong, Lei Wang, Xudong Lu, Aojun Zhou, Amrita Saha, Caiming Xiong, Doyen Sahoo |
| 2025 | ICLR | AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials. | Yiheng Xu, Dunjie Lu, Zhennan Shen, Junli Wang, Zekun Wang, Yuchen Mao, Caiming Xiong, Tao Yu |
| 2025 | ICLR | BingoGuard: LLM Content Moderation Tools with Risk Levels. | Fan Yin, Philippe Laban, Xiangyu Peng, Yilun Zhou, Yixin Mao, Vaibhav Vats, Linnea Ross, Divyansh Agarwal, Caiming Xiong, Chien-Sheng Wu |
| 2025 | ICLR | SiReRAG: Indexing Similar and Related Information for Multihop Reasoning. | Nan Zhang, Prafulla Kumar Choubey, Alexander R. Fabbri, Gabriel Bernadett-Shapiro, Rui Zhang, Prasenjit Mitra, Caiming Xiong, Chien-Sheng Wu |
| 2025 | ICLR | Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents. | Kexun Zhang, Weiran Yao, Zuxin Liu, Yihao Feng, Zhiwei Liu, Rithesh R. N., Tian Lan, Lei Li, Renze Lou, Jiacheng Xu, Bo Pang, Yingbo Zhou, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong |
| 2025 | ICLR | Automatic Curriculum Expert Iteration for Reliable LLM Reasoning. | Zirui Zhao, Hanze Dong, Amrita Saha, Caiming Xiong, Doyen Sahoo |
| 2025 | ICML | Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts. | Xu Liu, Juncheng Liu, Gerald Woo, Taha Aksu, Yuxuan Liang, Roger Zimmermann, Chenghao Liu, Junnan Li, Silvio Savarese, Caiming Xiong, Doyen Sahoo |
| 2025 | ICML | Reward-Guided Speculative Decoding for Efficient LLM Reasoning. | Baohao Liao, Yuhui Xu, Hanze Dong, Junnan Li, Christof Monz, Silvio Savarese, Doyen Sahoo, Caiming Xiong |
| 2025 | ICML | Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction. | Yiheng Xu, Zekun Wang, Junli Wang, Dunjie Lu, Tianbao Xie, Amrita Saha, Doyen Sahoo, Tao Yu, Caiming Xiong |
| 2025 | ICML | Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators. | Yilun Zhou, Austin Xu, Peifeng Wang, Caiming Xiong, Shafiq Joty |
| 2025 | NAACL | CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments. | Kung-Hsiang Huang, Akshara Prabhakar, Sidharth Dhawan, Yixin Mao, Huan Wang, Silvio Savarese, Caiming Xiong, Philippe Laban, Chien-Sheng Wu |
| 2025 | NAACL | CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models. | Jierui Li, Hung Le, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Doyen Sahoo |
| 2025 | NAACL | Do RAG Systems Cover What Matters? Evaluating and Optimizing Responses with Sub-Question Coverage. | Kaige Xie, Philippe Laban, Prafulla Kumar Choubey, Caiming Xiong, Chien-Sheng Wu |
| 2025 | NAACL | xLAM: A Family of Large Action Models to Empower AI Agent Systems. | Jianguo Zhang, Tian Lan, Ming Zhu, Zuxin Liu, Thai Hoang, Shirley Kokane, Weiran Yao, Juntao Tan, Akshara Prabhakar, Haolin Chen, Zhiwei Liu, Yihao Feng, Tulika Manoj Awalgaonkar, Rithesh R. N., Zeyuan Chen, Ran Xu, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong |
| 2024 | ACL | FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability. | Congying Xia, Chen Xing, Jiangshu Du, Xinyi Yang, Yihao Feng, Ran Xu, Wenpeng Yin, Caiming Xiong |
| 2024 | CVPR | HIVE: Harnessing Human Feedback for Instructional Visual Editing. | 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 |
| 2024 | CVPR | Diffusion Model Alignment Using Direct Preference Optimization. | Bram Wallace, Meihua Dang, Rafael Rafailov, Linqi Zhou, Aaron Lou, Senthil Purushwalkam, Stefano Ermon, Caiming Xiong, Shafiq Joty, Nikhil Naik |
| 2024 | CVPR | ULIP-2: Towards Scalable Multimodal Pre-Training for 3D Understanding. | Le Xue, Ning Yu, Shu Zhang, Artemis Panagopoulou, Junnan Li, Roberto Martn-Martn, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese |
| 2024 | EACL | Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning. | Lifu Tu, Jin Qu, Semih Yavuz, Shafiq Joty, Wenhao Liu, Caiming Xiong, Yingbo Zhou |
| 2024 | EACL | DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI. | Jianguo Zhang, Kun Qian, Zhiwei Liu, Shelby Heinecke, Rui Meng, Ye Liu, Zhou Yu, Huan Wang, Silvio Savarese, Caiming Xiong |
| 2024 | ECCV | X-InstructBLIP: A Framework for Aligning Image, 3D, Audio, Video to LLMs and its Emergent Cross-Modal Reasoning. | Artemis Panagopoulou, Le Xue, Ning Yu, Junnan Li, Dongxu Li, Shafiq Joty, Ran Xu, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles |
| 2024 | ECCV | xGen-VideoSyn-1: High-Fidelity Text-to-Video Synthesis with Compressed Representations. | Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong |
| 2024 | ECCV | LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer. | Ning Yu, Chia-Chih Chen, Zeyuan Chen, Rui Meng, Gang Wu, Paul Josel, Juan Carlos Niebles, Caiming Xiong, Ran Xu |
| 2024 | EMNLP | FOLIO: Natural Language Reasoning with First-Order Logic. | Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Wenfei Zhou, James Coady, David Peng, Yujie Qiao, Luke Benson, Lucy Sun, Alexander Wardle-Solano, Hannah Szab, Ekaterina Zubova, Matthew Burtell, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Alexander R. Fabbri, Wojciech Kryscinski, Semih Yavuz, Ye Liu, Xi Victoria Lin, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Rex Ying, Arman Cohan, Dragomir Radev |
| 2024 | EMNLP | P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains. | Simeng Han, Aaron Yu, Rui Shen, Zhenting Qi, Martin Riddell, Wenfei Zhou, Yujie Qiao, Yilun Zhao, Semih Yavuz, Ye Liu, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Dragomir Radev, Rex Ying, Arman Cohan |
| 2024 | EMNLP | Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems. | Philippe Laban, Alexander R. Fabbri, Caiming Xiong, Chien-Sheng Wu |
| 2024 | EMNLP | Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding. | Lifu Tu, Semih Yavuz, Jin Qu, Jiacheng Xu, Rui Meng, Caiming Xiong, Yingbo Zhou |
| 2024 | ICLR | How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations. | Tianyu Guo, Wei Hu, Song Mei, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai |
| 2024 | ICLR | Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight. | Jiacheng Guo, Minshuo Chen, Huan Wang, Caiming Xiong, Mengdi Wang, Yu Bai |
| 2024 | ICLR | Lemur: Harmonizing Natural Language and Code for Language Agents. | 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 |
| 2024 | ICLR | Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. | 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 |
| 2024 | ICML | Position: TrustLLM: Trustworthiness in Large Language Models. | 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 |
| 2024 | ICML | Unified Training of Universal Time Series Forecasting Transformers. | Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo |
| 2024 | ICRA | Hierarchical Point Attention for Indoor 3D Object Detection. | Manli Shu, Le Xue, Ning Yu, Roberto Martn-Martn, Caiming Xiong, Tom Goldstein, Juan Carlos Niebles, Ran Xu |
| 2024 | NAACL | Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles. | Kung-Hsiang Huang, Philippe Laban, Alexander R. Fabbri, Prafulla Kumar Choubey, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu |
| 2024 | NAACL | ARM: Alignment with Residual Energy-Based Model. | Bo Pang, Caiming Xiong, Yingbo Zhou |
| 2024 | NAACL | What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases. | Anthony Meng Huat Tiong, Junqi Zhao, Boyang Li, Junnan Li, Steven C. H. Hoi, Caiming Xiong |
| 2024 | NAACL | Fair Abstractive Summarization of Diverse Perspectives. | 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 |
| 2024 | UIST | Beyond the Chat: Executable and Verifiable Text-Editing with LLMs. | Philippe Laban, Jesse Vig, Marti A. Hearst, Caiming Xiong, Chien-Sheng Wu |
| 2023 | AAAI | Learning to Play General-Sum Games against Multiple Boundedly Rational Agents. | Eric Zhao, Alexander R. Trott, Caiming Xiong, Stephan Zheng |
| 2023 | ACL | Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting. | Zahra Fatemi, Chen Xing, Wenhao Liu, Caiming Xiong |
| 2023 | ACL | SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages. | Philippe Laban, Jesse Vig, Wojciech Kryscinski, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu |
| 2023 | ACL | Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation. | Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Yilun Zhao, Linyong Nan, Ruilin Han, Simeng Han, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev |
| 2023 | ACL | Best-k Search Algorithm for Neural Text Generation. | Jiacheng Xu, Caiming Xiong, Silvio Savarese, Yingbo Zhou |
| 2023 | ACL | Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning. | Fan Yin, Jesse Vig, Philippe Laban, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu |
| 2023 | CHI | Designing and Evaluating Interfaces that Highlight News Coverage Diversity Using Discord Questions. | Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka, Xiang 'Anthony' Chen, Caiming Xiong |
| 2023 | CIKM | Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. | Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu |
| 2023 | CVPR | ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding. | Le Xue, Mingfei Gao, Chen Xing, Roberto Martn-Martn, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese |
| 2023 | EACL | What's New? Summarizing Contributions in Scientific Literature. | Hiroaki Hayashi, Wojciech Kryscinski, Bryan McCann, Nazneen Rajani, Caiming Xiong |
| 2023 | EACL | Long Document Summarization with Top-down and Bottom-up Inference. | Bo Pang, Erik Nijkamp, Wojciech Kryscinski, Silvio Savarese, Yingbo Zhou, Caiming Xiong |
| 2023 | EACL | SharPT: Shared Latent Space Prompt Tuning. | Bo Pang, Semih Yavuz, Caiming Xiong, Yingbo Zhou |
| 2023 | EMNLP | Lexical Repetitions Lead to Rote Learning: Unveiling the Impact of Lexical Overlap in Train and Test Reference Summaries. | Prafulla Kumar Choubey, Alexander R. Fabbri, Caiming Xiong, Chien-Sheng Wu |
| 2023 | EMNLP | SummEdits: Measuring LLM Ability at Factual Reasoning Through The Lens of Summarization. | Philippe Laban, Wojciech Kryscinski, Divyansh Agarwal, Alexander R. Fabbri, Caiming Xiong, Shafiq Joty, Chien-Sheng Wu |
| 2023 | EMNLP | Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation. | Yixin Liu, Alexander R. Fabbri, Yilun Zhao, Pengfei Liu, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev |
| 2023 | EMNLP | HPE: Answering Complex Questions over Text by Hybrid Question Parsing and Execution. | Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Shafiq Joty, Yingbo Zhou |
| 2023 | EMNLP | Salespeople vs SalesBot: Exploring the Role of Educational Value in Conversational Recommender Systems. | Lidiya Murakhovs'ka, Philippe Laban, Tian Xie, Caiming Xiong, Chien-Sheng Wu |
| 2023 | ICCV | GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation. | Can Qin, Ning Yu, Chen Xing, Shu Zhang, Zeyuan Chen, Stefano Ermon, Yun Fu, Caiming Xiong, Ran Xu |
| 2023 | ICDAR | Robustness Evaluation of Transformer-Based Form Field Extractors via Form Attacks. | Le Xue, Mingfei Gao, Zeyuan Chen, Caiming Xiong, Ran Xu |
| 2023 | ICLR | Binding Language Models in Symbolic Languages. | 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 |
| 2023 | ICLR | Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems. | Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang, Caiming Xiong, Mingyuan Zhou, Huan Wang |
| 2023 | ICLR | CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis. | Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong |
| 2023 | ICLR | Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning. | Xiangyu Peng, Chen Xing, Prafulla Kumar Choubey, Chien-Sheng Wu, Caiming Xiong |
| 2023 | ICML | Improved Online Conformal Prediction via Strongly Adaptive Online Learning. | Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Yu Bai |
| 2023 | ICML | Lower Bounds for Learning in Revealing POMDPs. | Fan Chen, Huan Wang, Caiming Xiong, Song Mei, Yu Bai |
| 2023 | SIGdial | Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System. | Jianguo Zhang, Stephen Roller, Kun Qian, Zhiwei Liu, Rui Meng, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong |
| 2022 | ACL | ConTinTin: Continual Learning from Task Instructions. | Wenpeng Yin, Jia Li, Caiming Xiong |
| 2022 | ACL | DialFact: A Benchmark for Fact-Checking in Dialogue. | Prakhar Gupta, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong |
| 2022 | ACL | OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval. | Tong Niu, Kazuma Hashimoto, Yingbo Zhou, Caiming Xiong |
| 2022 | ACL | [CASPI] Causal-aware Safe Policy Improvement for Task-oriented Dialogue. | Govardana Sachithanandam Ramachandran, Kazuma Hashimoto, Caiming Xiong |
| 2022 | ACL | QAConv: Question Answering on Informative Conversations. | Chien-Sheng Wu, Andrea Madotto, Wenhao Liu, Pascale Fung, Caiming Xiong |
| 2022 | ACL | Modeling Multi-hop Question Answering as Single Sequence Prediction. | Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Nitish Shirish Keskar, Caiming Xiong |
| 2022 | ACL | RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering. | Xi Ye, Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Caiming Xiong |
| 2022 | COLING | DocQueryNet: Value Retrieval with Arbitrary Queries for Form-like Documents. | Mingfei Gao, Le Xue, Chetan Ramaiah, Chen Xing, Ran Xu, Caiming Xiong |
| 2022 | CVPR | Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework. | Shu Zhang, Ran Xu, Caiming Xiong, Chetan Ramaiah |
| 2022 | ECCV | Open Vocabulary Object Detection with Pseudo Bounding-Box Labels. | Mingfei Gao, Chen Xing, Juan Carlos Niebles, Junnan Li, Ran Xu, Wenhao Liu, Caiming Xiong |
| 2022 | EMNLP | Improving Factual Consistency in Summarization with Compression-Based Post-Editing. | Alexander R. Fabbri, Prafulla Kumar Choubey, Jesse Vig, Chien-Sheng Wu, Caiming Xiong |
| 2022 | EMNLP | CTRLsum: Towards Generic Controllable Text Summarization. | Junxian He, Wojciech Kryscinski, Bryan McCann, Nazneen Rajani, Caiming Xiong |
| 2022 | EMNLP | BOOKSUM: A Collection of Datasets for Long-form Narrative Summarization. | Wojciech Kryscinski, Nazneen Rajani, Divyansh Agarwal, Caiming Xiong, Dragomir Radev |
| 2022 | EMNLP | Near-Negative Distinction: Giving a Second Life to Human Evaluation Datasets. | Philippe Laban, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong |
| 2022 | EMNLP | Discord Questions: A Computational Approach To Diversity Analysis in News Coverage. | Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka, Xiang 'Anthony' Chen, Caiming Xiong |
| 2022 | EMNLP | SPE: Symmetrical Prompt Enhancement for Fact Probing. | Yiyuan Li, Tong Che, Yezhen Wang, Zhengbao Jiang, Caiming Xiong, Snigdha Chaturvedi |
| 2022 | EMNLP | Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database. | Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Yingbo Zhou |
| 2022 | EMNLP | Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models. | Lifu Tu, Caiming Xiong, Yingbo Zhou |
| 2022 | EMNLP | UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. | Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu |
| 2022 | ICLR | Efficient and Differentiable Conformal Prediction with General Function Classes. | Yu Bai, Song Mei, Huan Wang, Yingbo Zhou, Caiming Xiong |
| 2022 | ICML | BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation. | Junnan Li, Dongxu Li, Caiming Xiong, Steven C. H. Hoi |
| 2022 | ICSE | NaturalCC: An Open-Source Toolkit for Code Intelligence. | Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Yulei Sui, Hongyu Zhang, Kazuma Hashimoto, Hai Jin, Guandong Xu, Caiming Xiong, Philip S. Yu |
| 2022 | NAACL | QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization. | Alexander R. Fabbri, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong |
| 2022 | NAACL | A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis. | Ehsan Hosseini-Asl, Wenhao Liu, Caiming Xiong |
| 2022 | NAACL | Quiz Design Task: Helping Teachers Create Quizzes with Automated Question Generation. | Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka, Wenhao Liu, Caiming Xiong |
| 2022 | NAACL | MixQG: Neural Question Generation with Mixed Answer Types. | Lidiya Murakhovs'ka, Chien-Sheng Wu, Philippe Laban, Tong Niu, Wenhao Liu, Caiming Xiong |
| 2022 | WWW | Intent Contrastive Learning for Sequential Recommendation. | Yongjun Chen, Zhiwei Liu, Jia Li, Julian J. McAuley, Caiming Xiong |
| 2022 | SIGIR | ELECRec: Training Sequential Recommenders as Discriminators. | Yongjun Chen, Jia Li, Caiming Xiong |
| 2022 | UAI | Local calibration: metrics and recalibration. | Rachel Luo, Aadyot Bhatnagar, Yu Bai, Shengjia Zhao, Huan Wang, Caiming Xiong, Silvio Savarese, Stefano Ermon, Edward Schmerling, Marco Pavone |
| 2022 | WSDM | RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems. | Zohreh Ovaisi, Shelby Heinecke, Jia Li, Yongfeng Zhang, Elena Zheleva, Caiming Xiong |
| 2021 | AAAI | Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models. | Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio |
| 2021 | ACL | Controllable Abstractive Dialogue Summarization with Sketch Supervision. | Chien-Sheng Wu, Linqing Liu, Wenhao Liu, Pontus Stenetorp, Caiming Xiong |
| 2021 | ACL | Unsupervised Out-of-Domain Detection via Pre-trained Transformers. | Keyang Xu, Tongzheng Ren, Shikun Zhang, Yihao Feng, Caiming Xiong |
| 2021 | ACL | DocNLI: A Large-scale Dataset for Document-level Natural Language Inference. | Wenpeng Yin, Dragomir R. Radev, Caiming Xiong |
| 2021 | ACL | BatchMixup: Improving Training by Interpolating Hidden States of the Entire Mini-batch. | Wenpeng Yin, Huan Wang, Jin Qu, Caiming Xiong |
| 2021 | AIES | GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning. | Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong |
| 2021 | CIKM | On the Diversity and Explainability of Recommender Systems: A Practical Framework for Enterprise App Recommendation. | Wenzhuo Yang, Jia Li, Chenxi Li, Latrice Barnett, Markus Anderle, Simo Arajrvi, Harshavardhan Utharavalli, Caiming Xiong, Steven C. H. Hoi |
| 2021 | CVPR | WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos. | Mingfei Gao, Yingbo Zhou, Ran Xu, Richard Socher, Caiming Xiong |
| 2021 | CVPR | Structured Scene Memory for Vision-Language Navigation. | Hanqing Wang, Wenguan Wang, Wei Liang, Caiming Xiong, Jianbing Shen |
| 2021 | EACL | Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models. | Tianxing He, Bryan McCann, Caiming Xiong, Ehsan Hosseini-Asl |
| 2021 | EMNLP | FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging. | Han Guo, Nazneen Rajani, Peter Hase, Mohit Bansal, Caiming Xiong |
| 2021 | EMNLP | Dense Hierarchical Retrieval for Open-domain Question Answering. | Ye Liu, Kazuma Hashimoto, Yingbo Zhou, Semih Yavuz, Caiming Xiong, Philip S. Yu |
| 2021 | EMNLP | Unsupervised Paraphrasing with Pretrained Language Models. | Tong Niu, Semih Yavuz, Yingbo Zhou, Nitish Shirish Keskar, Huan Wang, Caiming Xiong |
| 2021 | ICCV | CoMatch: Semi-supervised Learning with Contrastive Graph Regularization. | Junnan Li, Caiming Xiong, Steven C. H. Hoi |
| 2021 | ICCV | Learning from Noisy Data with Robust Representation Learning. | Junnan Li, Caiming Xiong, Steven C. H. Hoi |
| 2021 | ICLR | MoPro: Webly Supervised Learning with Momentum Prototypes. | Junnan Li, Caiming Xiong, Steven C. H. Hoi |
| 2021 | ICLR | Prototypical Contrastive Learning of Unsupervised Representations. | Junnan Li, Pan Zhou, Caiming Xiong, Steven C. H. Hoi |
| 2021 | ICLR | GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing. | Tao Yu, Chien-Sheng Wu, Xi Victoria Lin, Bailin Wang, Yi Chern Tan, Xinyi Yang, Dragomir R. Radev, Richard Socher, Caiming Xiong |
| 2021 | ICLR | Representation Learning for Sequence Data with Deep Autoencoding Predictive Components. | Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong |
| 2021 | ICLR | CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers. | Shiyang Li, Semih Yavuz, Kazuma Hashimoto, Jia Li, Tong Niu, Nazneen Fatema Rajani, Xifeng Yan, Yingbo Zhou, Caiming Xiong |
| 2021 | ICLR | BERTology Meets Biology: Interpreting Attention in Protein Language Models. | Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani |
| 2021 | ICML | How Important is the Train-Validation Split in Meta-Learning? | Yu Bai, Minshuo Chen, Pan Zhou, Tuo Zhao, Jason D. Lee, Sham M. Kakade, Huan Wang, Caiming Xiong |
| 2021 | ICML | Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification. | Yu Bai, Song Mei, Huan Wang, Caiming Xiong |
| 2021 | ICML | Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization. | Stanislaw Jastrzebski, Devansh Arpit, Oliver strand, Giancarlo Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof J. Geras |
| 2021 | Interspeech | Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech Recognition. | Genta Indra Winata, Guangsen Wang, Caiming Xiong, Steven C. H. Hoi |
| 2021 | NAACL | DART: Open-Domain Structured Data Record to Text Generation. | Linyong Nan, Dragomir R. Radev, Rui Zhang, Amrit Rau, Abhinand Sivaprasad, Chiachun Hsieh, Xiangru Tang, Aadit Vyas, Neha Verma, Pranav Krishna, Yangxiaokang Liu, Nadia Irwanto, Jessica Pan, Faiaz Rahman, Ahmad Zaidi, Mutethia Mutuma, Yasin Tarabar, Ankit Gupta, Tao Yu, Yi Chern Tan, Xi Victoria Lin, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani |
| 2021 | NAACL | SCRIPT: Self-Critic PreTraining of Transformers. | Erik Nijkamp, Bo Pang, Ying Nian Wu, Caiming Xiong |
| 2021 | NAACL | Learning to Synthesize Data for Semantic Parsing. | Bailin Wang, Wenpeng Yin, Xi Victoria Lin, Caiming Xiong |
| 2021 | SIGIR | Pseudo Siamese Network for Few-shot Intent Generation. | Congying Xia, Caiming Xiong, Philip S. Yu |
| 2021 | WACV | Proposal Learning for Semi-Supervised Object Detection. | Peng Tang, Chetan Ramaiah, Yan Wang, Ran Xu, Caiming Xiong |
| 2021 | UAI | Task similarity aware meta learning: theory-inspired improvement on MAML. | Pan Zhou, Yingtian Zou, Xiao-Tong Yuan, Jiashi Feng, Caiming Xiong, Steven C. H. Hoi |
| 2020 | ACL | ERASER: A Benchmark to Evaluate Rationalized NLP Models. | Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, Eric P. Lehman, Caiming Xiong, Richard Socher, Byron C. Wallace |
| 2020 | ACL | Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading. | Yifan Gao, Chien-Sheng Wu, Shafiq R. Joty, Caiming Xiong, Richard Socher, Irwin King, Michael R. Lyu, Steven C. H. Hoi |
| 2020 | ACL | ESPRIT: Explaining Solutions to Physical Reasoning Tasks. | Nazneen Fatema Rajani, Rui Zhang, Yi Chern Tan, Stephan Zheng, Jeremy Weiss, Aadit Vyas, Abhijit Gupta, Caiming Xiong, Richard Socher, Dragomir R. Radev |
| 2020 | ACL | Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation. | Tianlu Wang, Xi Victoria Lin, Nazneen Fatema Rajani, Bryan McCann, Vicente Ordonez, Caiming Xiong |
| 2020 | ACL | Photon: A Robust Cross-Domain Text-to-SQL System. | Jichuan Zeng, Xi Victoria Lin, Steven C. H. Hoi, Richard Socher, Caiming Xiong, Michael R. Lyu, Irwin King |
| 2020 | AISTATS | Assessing Local Generalization Capability in Deep Models. | Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher |
| 2020 | AMTA | Building Salesforce Neural Machine Translation System. | Kazuma Hashimoto, Raffaella Buschiazzo, Caiming Xiong, Teresa Marxhall |
| 2020 | CVPR | Learning From Noisy Anchors for One-Stage Object Detection. | Hengduo Li, Zuxuan Wu, Chen Zhu, Caiming Xiong, Richard Socher, Larry S. Davis |
| 2020 | EMNLP | Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading. | Yifan Gao, Chien-Sheng Wu, Jingjing Li, Shafiq R. Joty, Steven C. H. Hoi, Caiming Xiong, Irwin King, Michael R. Lyu |
| 2020 | EMNLP | The Thieves on Sesame Street are Polyglots - Extracting Multilingual Models from Monolingual APIs. | Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher |
| 2020 | EMNLP | Evaluating the Factual Consistency of Abstractive Text Summarization. | Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher |
| 2020 | EMNLP | Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing. | Xi Victoria Lin, Richard Socher, Caiming Xiong |
| 2020 | EMNLP | VD-BERT: A Unified Vision and Dialog Transformer with BERT. | Yue Wang, Shafiq R. Joty, Michael R. Lyu, Irwin King, Caiming Xiong, Steven C. H. Hoi |
| 2020 | EMNLP | TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue. | Chien-Sheng Wu, Steven C. H. Hoi, Richard Socher, Caiming Xiong |
| 2020 | EMNLP | Improving Limited Labeled Dialogue State Tracking with Self-Supervision. | Chien-Sheng Wu, Steven C. H. Hoi, Caiming Xiong |
| 2020 | EMNLP | Probing Task-Oriented Dialogue Representation from Language Models. | Chien-Sheng Wu, Caiming Xiong |
| 2020 | EMNLP | Composed Variational Natural Language Generation for Few-shot Intents. | Congying Xia, Caiming Xiong, Philip S. Yu, Richard Socher |
| 2020 | EMNLP | Simple Data Augmentation with the Mask Token Improves Domain Adaptation for Dialog Act Tagging. | Semih Yavuz, Kazuma Hashimoto, Wenhao Liu, Nitish Shirish Keskar, Richard Socher, Caiming Xiong |
| 2020 | EMNLP | Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start. | Wenpeng Yin, Nazneen Fatema Rajani, Dragomir R. Radev, Richard Socher, Caiming Xiong |
| 2020 | EMNLP | Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference. | Jian-Guo Zhang, Kazuma Hashimoto, Wenhao Liu, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong |
| 2020 | ICLR | Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering. | Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, Richard Socher, Caiming Xiong |
| 2020 | ICML | Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills. | Victor Campos, Alexander Trott, Caiming Xiong, Richard Socher, Xavier Gir-i-Nieto, Jordi Torres |
| 2020 | Interspeech | An Investigation of Phone-Based Subword Units for End-to-End Speech Recognition. | Weiran Wang, Guangsen Wang, Aadyot Bhatnagar, Yingbo Zhou, Caiming Xiong, Richard Socher |
| 2019 | ACL | Explain Yourself! Leveraging Language Models for Commonsense Reasoning. | Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, Richard Socher |
| 2019 | ACL | Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems. | Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher, Pascale Fung |
| 2019 | ACL | SParC: Cross-Domain Semantic Parsing in Context. | Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, Dragomir R. Radev |
| 2019 | CVPR | The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation. | Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, Zsolt Kira |
| 2019 | CVPR | AdaFrame: Adaptive Frame Selection for Fast Video Recognition. | Zuxuan Wu, Caiming Xiong, Chih-Yao Ma, Richard Socher, Larry S. Davis |
| 2019 | EMNLP | WSLLN: Weakly Supervised Natural Language Localization Networks. | Mingfei Gao, Larry Davis, Richard Socher, Caiming Xiong |
| 2019 | EMNLP | Neural Text Summarization: A Critical Evaluation. | Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher |
| 2019 | EMNLP | CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. | Tao Yu, Rui Zhang, Heyang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander R. Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter S. Lasecki, Dragomir R. Radev |
| 2019 | EMNLP | Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions. | Rui Zhang, Tao Yu, Heyang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher, Dragomir R. Radev |
| 2019 | ICCV | StartNet: Online Detection of Action Start in Untrimmed Videos. | Mingfei Gao, Mingze Xu, Larry Davis, Richard Socher, Caiming Xiong |
| 2019 | ICLR | A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation. | Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong, Richard Socher |
| 2019 | ICLR | Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation. | Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher |
| 2019 | ICLR | Competitive experience replay. | Hao Liu, Alexander Trott, Richard Socher, Caiming Xiong |
| 2019 | ICLR | Self-Monitoring Navigation Agent via Auxiliary Progress Estimation. | Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming Xiong |
| 2019 | ICLR | Global-to-local Memory Pointer Networks for Task-Oriented Dialogue. | Chien-Sheng Wu, Richard Socher, Caiming Xiong |
| 2019 | ICLR | Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering. | Victor Zhong, Caiming Xiong, Nitish Shirish Keskar, Richard Socher |
| 2019 | ICML | Taming MAML: Efficient unbiased meta-reinforcement learning. | Hao Liu, Richard Socher, Caiming Xiong |
| 2019 | ICML | Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting. | Xilai Li, Yingbo Zhou, Tianfu Wu, Richard Socher, Caiming Xiong |
| 2019 | ICML | On the Generalization Gap in Reparameterizable Reinforcement Learning. | Huan Wang, Stephan Zheng, Caiming Xiong, Richard Socher |
| 2018 | ACCV | Neural Abstract Style Transfer for Chinese Traditional Painting. | Bo Li, Caiming Xiong, Tianfu Wu, Yu Zhou, Lun Zhang, Rufeng Chu |
| 2018 | ACL | Global-Locally Self-Attentive Encoder for Dialogue State Tracking. | Victor Zhong, Caiming Xiong, Richard Socher |
| 2018 | ACL | Efficient and Robust Question Answering from Minimal Context over Documents. | Sewon Min, Victor Zhong, Richard Socher, Caiming Xiong |
| 2018 | CVPR | End-to-End Dense Video Captioning With Masked Transformer. | Luowei Zhou, Yingbo Zhou, Jason J. Corso, Richard Socher, Caiming Xiong |
| 2018 | EMNLP | Improving Abstraction in Text Summarization. | Wojciech Kryscinski, Romain Paulus, Caiming Xiong, Richard Socher |
| 2018 | EMNLP | Multi-Hop Knowledge Graph Reasoning with Reward Shaping. | Xi Victoria Lin, Richard Socher, Caiming Xiong |
| 2018 | ICASSP | Improving End-to-End Speech Recognition with Policy Learning. | Yingbo Zhou, Caiming Xiong, Richard Socher |
| 2018 | ICLR | Non-Autoregressive Neural Machine Translation. | Jiatao Gu, James Bradbury, Caiming Xiong, Victor O. K. Li, Richard Socher |
| 2018 | ICLR | A Deep Reinforced Model for Abstractive Summarization. | Romain Paulus, Caiming Xiong, Richard Socher |
| 2018 | ICLR | Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning. | Tianmin Shu, Caiming Xiong, Richard Socher |
| 2018 | ICLR | Interpretable Counting for Visual Question Answering. | Alexander Trott, Caiming Xiong, Richard Socher |
| 2018 | ICLR | DCN+: Mixed Objective And Deep Residual Coattention for Question Answering. | Caiming Xiong, Victor Zhong, Richard Socher |
| 2018 | Interspeech | A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation. | Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher |
| 2017 | CVPR | Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning. | Jiasen Lu, Caiming Xiong, Devi Parikh, Richard Socher |
| 2017 | EMNLP | A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks. | Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, Richard Socher |
| 2017 | ICLR | Quasi-Recurrent Neural Networks. | James Bradbury, Stephen Merity, Caiming Xiong, Richard Socher |
| 2017 | ICLR | Pointer Sentinel Mixture Models. | Stephen Merity, Caiming Xiong, James Bradbury, Richard Socher |
| 2017 | ICLR | Dynamic Coattention Networks For Question Answering. | Caiming Xiong, Victor Zhong, Richard Socher |
| 2016 | AAAI | Maximum Margin Dirichlet Process Mixtures for Clustering. | Gang Chen, Haiying Zhang, Caiming Xiong |
| 2016 | CVPR | Recognizing Car Fluents from Video. | Bo Li, Tianfu Wu, Caiming Xiong, Song-Chun Zhu |
| 2016 | ICML | Dynamic Memory Networks for Visual and Textual Question Answering. | Caiming Xiong, Stephen Merity, Richard Socher |
| 2016 | ICRA | Robot learning with a spatial, temporal, and causal and-or graph. | Caiming Xiong, Nishant Shukla, Wenlong Xiong, Song-Chun Zhu |
| 2016 | NAACL | Grounded Semantic Role Labeling. | Shaohua Yang, Qiaozi Gao, Changsong Liu, Caiming Xiong, Song-Chun Zhu, Joyce Y. Chai |
| 2015 | AAAI | Jointly Modeling Deep Video and Compositional Text to Bridge Vision and Language in a Unified Framework. | Ran Xu, Caiming Xiong, Wei Chen, Jason J. Corso |
| 2015 | CVPR | Joint action recognition and pose estimation from video. | Bruce Xiaohan Nie, Caiming Xiong, Song-Chun Zhu |
| 2015 | CVPR | Can humans fly? Action understanding with multiple classes of actors. | Chenliang Xu, Shao-Hang Hsieh, Caiming Xiong, Jason J. Corso |
| 2014 | AAAI | Latent Domains Modeling for Visual Domain Adaptation. | Caiming Xiong, Scott McCloskey, Shao-Hang Hsieh, Jason J. Corso |
| 2014 | CVPR | Actionness Ranking with Lattice Conditional Ordinal Random Fields. | Wei Chen, Caiming Xiong, Ran Xu, Jason J. Corso |
| 2014 | ECCV | Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions. | Andrei Barbu, Daniel Paul Barrett, Wei Chen, Siddharth Narayanaswamy, Caiming Xiong, Jason J. Corso, Christiane D. Fellbaum, Catherine Hanson, Stephen Jos Hanson, Sbastien Hlie, Evguenia Malaia, Barak A. Pearlmutter, Jeffrey Mark Siskind, Thomas Michael Talavage, Ronnie B. Wilbur |
| 2014 | IGARSS | Spectral active clustering of remote sensing images. | Zifeng Wang, Gui-Song Xia, Caiming Xiong, Liangpei Zhang |
| 2014 | SDM | Adaptive Quantization for Hashing: An Information-Based Approach to Learning Binary Codes. | Caiming Xiong, Wei Chen, Gang Chen, David M. Johnson, Jason J. Corso |
| 2013 | AAAI | Comprehensive Cross-Hierarchy Cluster Agreement Evaluation. | David M. Johnson, Caiming Xiong, Jing Gao, Jason J. Corso |
| 2013 | AAAI | Uncertainty Reduction for Active Image Clustering via a Hybrid Global-Local Uncertainty Model. | Caiming Xiong, David M. Johnson, Jason J. Corso |
| 2012 | ECCV | Streaming Hierarchical Video Segmentation. | Chenliang Xu, Caiming Xiong, Jason J. Corso |
| 2012 | ICIP | Dictionary transfer for image denoising via domain adaptation. | Gang Chen, Caiming Xiong, Jason J. Corso |
| 2012 | KDD | Random forests for metric learning with implicit pairwise position dependence. | Caiming Xiong, David M. Johnson, Ran Xu, Jason J. Corso |
| 2011 | WACV | AirTouch: Interacting with computer systems at a distance. | Daniel R. Schlegel, Albert Y. C. Chen, Caiming Xiong, Jeffrey A. Delmerico, Jason J. Corso |