PolyUCOMP in TAC 2011 Entity Linking and Slot-Filling. - Xu Jian; Zhengzhong Liu 001; Qin Lu 001; Patty Liu; Chenchen Wang; Yan Li 035; Xiaoning Li; Hanying Huang; Yang Song; Cheng Chang; Liaoming Zhou; Jing Xiao; et al. (TAC, 2011)

Topic Sequence Kernel. - Jian Xu 014; Qin Lu 001; Zhengzhong Liu 001; Junyi Chai 001 (AIRS, 2012)

Aggregating skip bigrams into key phrase-based vector space model for web person disambiguation. - Jian Xu 014; Qin Lu 001; Zhengzhong Liu 001 (KONVENS, 2012)

PolyUCOMP: Combining Semantic Vectors with Skip bigrams for Semantic Textual Similarity. - Jian Xu 014; Qin Lu 001; Zhengzhong Liu 001 (SemEval@NAACL-HLT, 2012)

Combining classification with clustering for web person disambiguation. - Jian Xu 014; Qin Lu 001; Zhengzhong Liu 001 (WWW (Companion Volume), 2012)

Detecting Subevent Structure for Event Coreference Resolution. - Jun Araki; Zhengzhong Liu 001; Eduard H. Hovy; Teruko Mitamura (LREC, 2014)

Supervised Within-Document Event Coreference using Information Propagation. - Zhengzhong Liu 001; Jun Araki; Eduard H. Hovy; Teruko Mitamura (LREC, 2014)

CMU Multiple-choice Question Answering System at NTCIR-11 QA-Lab. - Di Wang 030; Leonid Boytsov; Jun Araki; Alkesh Patel; Jeff Gee; Zhengzhong Liu 001; Eric Nyberg; Teruko Mitamura (NTCIR, 2014)

Evaluation Algorithms for Event Nugget Detection : A Pilot Study. - Zhengzhong Liu 001; Teruko Mitamura; Eduard H. Hovy (EVENTS@HLP-NAACL, 2015)

CMU-LTI at KBP 2015 Event Track. - Zhengzhong Liu 001; Jun Araki; Dheeru Dua; Teruko Mitamura; Eduard H. Hovy (TAC, 2015)

Overview of TAC KBP 2015 Event Nugget Track. - Teruko Mitamura; Zhengzhong Liu 001; Eduard H. Hovy (TAC, 2015)

Harnessing Deep Neural Networks with Logic Rules. - Zhiting Hu; Xuezhe Ma; Zhengzhong Liu 001; Eduard H. Hovy; Eric P. Xing (ACL (1), 2016)

Unsupervised Ranking Model for Entity Coreference Resolution. - Xuezhe Ma; Zhengzhong Liu 001; Eduard H. Hovy (HLT-NAACL, 2016)

CMU-LTI at KBP 2016 Event Nugget Track. - Zhengzhong Liu 001; Jun Araki; Teruko Mitamura; Eduard H. Hovy (TAC, 2016)

Overview of TAC-KBP 2016 Event Nugget Track. - Teruko Mitamura; Zhengzhong Liu 001; Eduard H. Hovy (TAC, 2016)

JointSem: Combining Query Entity Linking and Entity based Document Ranking. - Chenyan Xiong; Zhengzhong Liu 001; Jamie Callan; Eduard H. Hovy (CIKM, 2017)

De-duping URLs with Sequence-to-Sequence Neural Networks. - Keyang Xu; Zhengzhong Liu 001; Jamie Callan (SIGIR, 2017)

Multi-lingual Extraction and Integration of Entities, Relations, Events and Sentiments into ColdStart++ KBs with the SAFT System. - Hans Chalupsky; Jun Araki; Eduard H. Hovy; Andrew Hsi; Zhengzhong Liu 001; Xuezhe Ma; Evangelia Spiliopoulou; Shuxin Yao (TAC, 2017)

Events Detection, Coreference and Sequencing: What's next? Overview of the TAC KBP 2017 Event Track. - Teruko Mitamura; Zhengzhong Liu 001; Eduard H. Hovy (TAC, 2017)

Graph Based Decoding for Event Sequencing and Coreference Resolution. - Zhengzhong Liu 001; Teruko Mitamura; Eduard H. Hovy (COLING, 2018)

Automatic Event Salience Identification. - Zhengzhong Liu 001; Chenyan Xiong; Teruko Mitamura; Eduard H. Hovy (EMNLP, 2018)

Towards Better Text Understanding and Retrieval through Kernel Entity Salience Modeling. - Chenyan Xiong; Zhengzhong Liu 001; Jamie Callan; Tie-Yan Liu (SIGIR, 2018)

OPERA: Operations-oriented Probabilistic Extraction, Reasoning, and Analysis. - Eduard H. Hovy; Taylor Berg-Kirkpatrick; Jaime G. Carbonell; Hans Chalupsky; Anatole Gershman; Alexander G. Hauptmann; Florian Metze; Teruko Mitamura; Aditi Chaudhary; Xianyang Chen; Bernie Po-Yao Huang; Hector Zhengzhong Liu; et al. (TAC, 2018)

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. - Zhiting Hu; Haoran Shi 001; Zichao Yang; Bowen Tan; Tiancheng Zhao; Junxian He; Wentao Wang; Xingjiang Yu; Lianhui Qin; Di Wang 030; Xuezhe Ma; Zhengzhong Liu 001; et al. (CoRR, 2018)

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. - Zhiting Hu; Haoran Shi 001; Bowen Tan; Wentao Wang; Zichao Yang; Tiancheng Zhao; Junxian He; Lianhui Qin; Di Wang 030; Xuezhe Ma; Zhengzhong Liu 001; Xiaodan Liang; et al. (ACL (3), 2019)

OPERA: Operations-oriented Probabilistic Extraction, Reasoning, and Analysis. - Eduard H. Hovy; Jaime G. Carbonell; Hans Chalupsky; Anatole Gershman; Alex Hauptmann 001; Florian Metze; Teruko Mitamura; Zaid Sheikh; Ankit Dangi; Aditi Chaudhary; Xianyang Chen; Xiang Kong; et al. (TAC, 2019)

A Two-Step Approach for Implicit Event Argument Detection. - Zhisong Zhang; Xiang Kong; Zhengzhong Liu 001; Xuezhe Ma; Eduard H. Hovy (ACL, 2020)

A Data-Centric Framework for Composable NLP Workflows. - Zhengzhong Liu 001; Guanxiong Ding; Avinash Bukkittu; Mansi Gupta; Pengzhi Gao; Atif Ahmed; Shikun Zhang; Xin Gao 001; Swapnil Singhavi; Linwei Li; Wei Wei; Zecong Hu; et al. (EMNLP (Demos), 2020)

Cross-document Event Identity via Dense Annotation. - Adithya Pratapa; Zhengzhong Liu 001; Kimihiro Hasegawa; Linwei Li; Yukari Yamakawa; Shikun Zhang; Teruko Mitamura (CoNLL, 2021)

Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation. - Mingkai Deng; Bowen Tan; Zhengzhong Liu 001; Eric P. Xing; Zhiting Hu (EMNLP (1), 2021)

Text Generation with Efficient (Soft) Q-Learning. - Han Guo; Bowen Tan; Zhengzhong Liu 001; Eric P. Xing; Zhiting Hu (CoRR, 2021)

Efficient (Soft) Q-Learning for Text Generation with Limited Good Data. - Han Guo; Bowen Tan; Zhengzhong Liu 001; Eric P. Xing; Zhiting Hu (EMNLP (Findings), 2022)

ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models. - Jiannan Xiang; Zhengzhong Liu 001; Yucheng Zhou; Eric P. Xing; Zhiting Hu (EMNLP (Findings), 2022)

Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models. - Neha Sengupta; Sunil Kumar Sahu; Bokang Jia; Satheesh Katipomu; Haonan Li 002; Fajri Koto; Osama Mohammed Afzal; Samta Kamboj; Onkar Pandit; Rahul Pal; Lalit Pradhan; Zain Muhammad Mujahid; et al. (CoRR, 2023)

SlimPajama-DC: Understanding Data Combinations for LLM Training. - Zhiqiang Shen; Tianhua Tao; Liqun Ma; Willie Neiswanger; Zhengzhong Liu 001; Hongyi Wang 001; Bowen Tan; Joel Hestness; Natalia Vassilieva; Daria Soboleva; Eric P. Xing (CoRR, 2023)

SegMix: A Simple Structure-Aware Data Augmentation Method. - Yuxin Pei; Pushkar Bhuse; Zhengzhong Liu 001; Eric P. Xing (CoRR, 2023)

LLM360: Towards Fully Transparent Open-Source LLMs. - Zhengzhong Liu 001; Aurick Qiao; Willie Neiswanger; Hongyi Wang 001; Bowen Tan; Tianhua Tao; Junbo Li; Yuqi Wang; Suqi Sun; Omkar Pangarkar; Richard Fan; Yi Gu 002; et al. (CoRR, 2023)

Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs. - Sukmin Yun; Haokun Lin; Rusiru Thushara; Mohammad Qazim Bhat; Yongxin Wang; Zutao Jiang; Mingkai Deng; Jinhong Wang; Tianhua Tao; Junbo Li; Haonan Li 002; Preslav Nakov; et al. (NeurIPS, 2024)

Pandora: Towards General World Model with Natural Language Actions and Video States. - Jiannan Xiang; Guangyi Liu 005; Yi Gu 002; Qiyue Gao; Yuting Ning; Yuheng Zha; Zeyu Feng; Tianhua Tao; Shibo Hao; Yemin Shi 003; Zhengzhong Liu 001; Eric P. Xing; et al. (CoRR, 2024)

O1 Replication Journey: A Strategic Progress Report - Part 1. - Yiwei Qin; Xuefeng Li 003; Haoyang Zou; Yixiu Liu; Shijie Xia; Zhen Huang; Yixin Ye; Weizhe Yuan; Hector Liu; Yuanzhi Li; Pengfei Liu 003 (CoRR, 2024)

Crystal: Illuminating LLM Abilities on Language and Code. - Tianhua Tao; Junbo Li; Bowen Tan; Hongyi Wang 001; William Marshall; Bhargav Kanakiya; Joel Hestness; Natalia Vassilieva; Zhiqiang Shen; Eric P. Xing; Zhengzhong Liu 001 (CoRR, 2024)

Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability. - Haonan Li 002; Xudong Han; Zenan Zhai; Honglin Mu; Hao Wang; Zhenxuan Zhang; Yilin Geng; Shom Lin; Renxi Wang; Artem Shelmanov; Xiangyu Qi; Yuxia Wang; et al. (CoRR, 2024)

Scaling Long Context Training Data by Long-Distance Referrals. - Yonghao Zhuang 001; Lanxiang Hu; Longfei Yun; Souvik Kundu 009; Zhengzhong Liu 001; Eric P. Xing; Hao Zhang 025 (ICLR, 2025)

LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch. - Zhengzhong Liu 001; Bowen Tan; Hongyi Wang 001; Willie Neiswanger; Tianhua Tao; Haonan Li 002; Fajri Koto; Yuqi Wang; Suqi Sun; Omkar Pangarkar; Richard Fan; Yi Gu 002; et al. (CoRR, 2025)

CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing. - Wenhao Zheng; Yixiao Chen; Weitong Zhang; Souvik Kundu 009; Yun Li; Zhengzhong Liu 001; Eric P. Xing; Hongyi Wang 001; Huaxiu Yao (CoRR, 2025)

MegaMath: Pushing the Limits of Open Math Corpora. - Fan Zhou; Zengzhi Wang; Nikhil Ranjan; Zhoujun Cheng; Liping Tang; Guowei He; Zhengzhong Liu 001; Eric P. Xing (CoRR, 2025)

Token Level Routing Inference System for Edge Devices. - Jianshu She; Wenhao Zheng; Zhengzhong Liu 001; Hongyi Wang 001; Eric P. Xing; Huaxiu Yao; Qirong Ho (CoRR, 2025)

Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language Models. - Yanbin Yin; Kun Zhou; Zhen Wang 041; Zhaoxiang Zhang 001; Yifei Shao; Shibo Hao; Yi Gu 002; Jieyuan Liu; Somanshu Singla; Tianyang Liu 003; Eric P. Xing; Zhengzhong Liu 001; et al. (CoRR, 2025)

VSA: Faster Video Diffusion with Trainable Sparse Attention. - Peiyuan Zhang; Haofeng Huang; Yongqi Chen; Will Lin; Zhengzhong Liu 001; Ion Stoica; Eric Xing; Hao Zhang 025 (CoRR, 2025)

Esoteric Language Models. - Subham Sekhar Sahoo; Zhihan Yang; Yash Akhauri; Johnna Liu; Deepansha Singh; Zhoujun Cheng; Zhengzhong Liu 001; Eric Xing; John Thickstun; Arash Vahdat (CoRR, 2025)

Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective. - Zhoujun Cheng; Shibo Hao; Tianyang Liu 003; Fan Zhou; Yutao Xie; Feng Yao; Yuexin Bian; Yonghao Zhuang 001; Nilabjo Dey; Yuheng Zha; Yi Gu 002; Kun Zhou; et al. (CoRR, 2025)

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents. - Renxi Wang; Rifo Ahmad Genadi; Bilal El Bouardi; Yongxin Wang; Fajri Koto; Zhengzhong Liu 001; Timothy Baldwin; Haonan Li 002 (CoRR, 2025)

How Does Controllability Emerge In Language Models During Pretraining? - Jianshu She; Xinyue Li; Eric P. Xing; Zhengzhong Liu 001; Qirong Ho (CoRR, 2025)

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models. - Yuan Li 032; Zhengzhong Liu 001; Eric P. Xing (CoRR, 2025)

Vision-G1: Towards General Vision Language Reasoning with Multi-Domain Data Curation. - Yuheng Zha; Kun Zhou; Yujia Wu; Yushu Wang; Jie Feng; Zhi Xu; Shibo Hao; Zhengzhong Liu 001; Eric P. Xing; Zhiting Hu (CoRR, 2025)