Information diffusion and external influence in networks. - Seth A. Myers; Chenguang Zhu 001; Jure Leskovec (KDD, 2012)

Polling one's friends: A graph theoretic view. - Chenguang Zhu 001; Hossein Karkeh Abadi; Balaji Prabhakar (Allerton, 2015)

Analysis and modeling of large-scale systems : taxis and social polling. - Chenguang Zhu 001 (2015)

Reducing inefficiencies in taxi systems. - Chenguang Zhu 001; Balaji Prabhakar (CDC, 2017)

Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Scientific Question Answering. - Jianmo Ni; Chenguang Zhu 001; Weizhu Chen; Julian J. McAuley (CoRR, 2018)

SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering. - Chenguang Zhu 001; Michael Zeng 001; Xuedong Huang 001 (CoRR, 2018)

Embedding Imputation with Grounded Language Information. - Ziyi Yang; Chenguang Zhu 001; Vin Sachidananda; Eric Darve (ACL (1), 2019)

Multi-task Learning for Natural Language Generation in Task-Oriented Dialogue. - Chenguang Zhu 001; Michael Zeng 001; Xuedong Huang 001 (EMNLP/IJCNLP (1), 2019)

Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering. - Jianmo Ni; Chenguang Zhu 001; Weizhu Chen; Julian J. McAuley (NAACL-HLT (1), 2019)

SIM: A Slot-Independent Neural Model for Dialogue State Tracking. - Chenguang Zhu 001; Michael Zeng 001; Xuedong Huang 001 (SIGdial, 2019)

Make Lead Bias in Your Favor: A Simple and Effective Method for News Summarization. - Chenguang Zhu 001; Ziyi Yang; Robert Gmyr; Michael Zeng 001; Xuedong Huang 001 (CoRR, 2019)

Few-shot Natural Language Generation for Task-Oriented Dialog. - Baolin Peng; Chenguang Zhu 001; Chunyuan Li; Xiujun Li; Jinchao Li; Michael Zeng 001; Jianfeng Gao 001 (EMNLP (Findings), 2020)

TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising. - Ziyi Yang; Chenguang Zhu 001; Robert Gmyr; Michael Zeng 001; Xuedong Huang 001; Eric Darve (EMNLP (Findings), 2020)

A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining. - Chenguang Zhu 001; Ruochen Xu; Michael Zeng 001; Xuedong Huang 001 (EMNLP (Findings), 2020)

Mixed-Lingual Pre-training for Cross-lingual Summarization. - Ruochen Xu; Chenguang Zhu 001; Yu Shi 001; Michael Zeng 001; Xuedong Huang 001 (AACL/IJCNLP, 2020)

Boosting Factual Correctness of Abstractive Summarization with Knowledge Graph. - Chenguang Zhu 001; William Hinthorn; Ruochen Xu; Qingkai Zeng 001; Michael Zeng 001; Xuedong Huang 001; Meng Jiang 001 (CoRR, 2020)

End-to-End Abstractive Summarization for Meetings. - Chenguang Zhu 001; Ruochen Xu; Michael Zeng 001; Xuedong Huang 001 (CoRR, 2020)

Data Augmentation for Spoken Language Understanding via Pretrained Models. - Baolin Peng; Chenguang Zhu 001; Michael Zeng 001; Jianfeng Gao 001 (CoRR, 2020)

Meta Dialogue Policy Learning. - Yumo Xu; Chenguang Zhu 001; Baolin Peng; Michael Zeng 001 (CoRR, 2020)

Mind The Facts: Knowledge-Boosted Coherent Abstractive Text Summarization. - Beliz Gunel; Chenguang Zhu 001; Michael Zeng 001; Xuedong Huang 001 (CoRR, 2020)

Semi-Supervised Speech-Language Joint Pre-Training for Spoken Language Understanding. - Yu-An Chung; Chenguang Zhu 001; Michael Zeng 001 (CoRR, 2020)

Fusing Context Into Knowledge Graph for Commonsense Reasoning. - Yichong Xu; Chenguang Zhu 001; Ruochen Xu; Yang Liu 124; Michael Zeng 001; Xuedong Huang 001 (CoRR, 2020)

RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems. - Baolin Peng; Chunyuan Li; Zhu Zhang 001; Chenguang Zhu 001; Jinchao Li; Jianfeng Gao 001 (ACL/IJCNLP (1), 2021)

Retrieval Enhanced Model for Commonsense Generation. - Han Wang; Yang Liu 124; Chenguang Zhu 001; Linjun Shou; Ming Gong 001; Yichong Xu; Michael Zeng 001 (ACL/IJCNLP (Findings), 2021)

Fusing Context Into Knowledge Graph for Commonsense Question Answering. - Yichong Xu; Chenguang Zhu 001; Ruochen Xu; Yang Liu 124; Michael Zeng 001; Xuedong Huang 001 (ACL/IJCNLP (Findings), 2021)

An Exploratory Study on Long Dialogue Summarization: What Works and What's Next. - Yusen Zhang 001; Ansong Ni; Tao Yu 009; Rui Zhang 037; Chenguang Zhu 001; Budhaditya Deb; Asli Celikyilmaz; Ahmed Hassan Awadallah; Dragomir R. Radev (EMNLP (Findings), 2021)

Injecting Entity Types into Entity-Guided Text Generation. - Xiangyu Dong 004; Wenhao Yu 002; Chenguang Zhu 001; Meng Jiang 001 (EMNLP (1), 2021)

Want To Reduce Labeling Cost? GPT-3 Can Help. - Shuohang Wang; Yang Liu 124; Yichong Xu; Chenguang Zhu 001; Michael Zeng 001 (EMNLP (Findings), 2021)

Sentence-Permuted Paragraph Generation. - Wenhao Yu 002; Chenguang Zhu 001; Tong Zhao 003; Zhichun Guo; Meng Jiang 001 (EMNLP (1), 2021)

Data Augmentation for Spoken Language Understanding via Pretrained Language Models. - Baolin Peng; Chenguang Zhu 001; Michael Zeng 001; Jianfeng Gao 001 (Interspeech, 2021)

SPLAT: Speech-Language Joint Pre-Training for Spoken Language Understanding. - Yu-An Chung; Chenguang Zhu 001; Michael Zeng 001 (NAACL-HLT, 2021)

Enhancing Factual Consistency of Abstractive Summarization. - Chenguang Zhu 001; William Hinthorn; Ruochen Xu; Qingkai Zeng 001; Michael Zeng 001; Xuedong Huang 001; Meng Jiang 001 (NAACL-HLT, 2021)

MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization. - Chenguang Zhu 001; Yang Liu 124; Jie Mei; Michael Zeng 001 (NAACL-HLT, 2021)

Leveraging Lead Bias for Zero-shot Abstractive News Summarization. - Chenguang Zhu 001; Ziyi Yang; Robert Gmyr; Michael Zeng 001; Xuedong Huang 001 (SIGIR, 2021)

Does Knowledge Help General NLU? An Empirical Study. - Ruochen Xu; Yuwei Fang; Chenguang Zhu 001; Michael Zeng 001 (CoRR, 2021)

SYNERGY: Building Task Bots at Scale Using Symbolic Knowledge and Machine Teaching. - Baolin Peng; Chunyuan Li; Zhu Zhang 001; Jinchao Li; Chenguang Zhu 001; Jianfeng Gao 001 (CoRR, 2021)

MLP Architectures for Vision-and-Language Modeling: An Empirical Study. - Yixin Nie; Linjie Li; Zhe Gan; Shuohang Wang; Chenguang Zhu 001; Michael Zeng 001; Zicheng Liu 001; Mohit Bansal; Lijuan Wang (CoRR, 2021)

JAKET: Joint Pre-training of Knowledge Graph and Language Understanding. - Donghan Yu; Chenguang Zhu 001; Yiming Yang; Michael Zeng 001 (AAAI, 2022)

DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization. - Ming Zhong 005; Yang Liu 124; Yichong Xu; Chenguang Zhu 001; Michael Zeng 001 (AAAI, 2022)

SummN: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents. - Yusen Zhang 001; Ansong Ni; Ziming Mao; Chen Henry Wu; Chenguang Zhu 001; Budhaditya Deb; Ahmed Hassan Awadallah; Dragomir R. Radev; Rui Zhang 037 (ACL (1), 2022)

Dict-BERT: Enhancing Language Model Pre-training with Dictionary. - Wenhao Yu 002; Chenguang Zhu 001; Yuwei Fang; Donghan Yu; Shuohang Wang; Yichong Xu; Michael Zeng 001; Meng Jiang 001 (ACL (Findings), 2022)

Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts. - Wenhao Yu 002; Chenguang Zhu 001; Lianhui Qin; Zhihan Zhang 001; Tong Zhao 003; Meng Jiang 001 (ACL (Findings), 2022)

Leveraging Knowledge in Multilingual Commonsense Reasoning. - Yuwei Fang; Shuohang Wang; Yichong Xu; Ruochen Xu; Siqi Sun; Chenguang Zhu 001; Michael Zeng 001 (ACL (Findings), 2022)

Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer. - Woojeong Jin 001; Dong-Ho Lee; Chenguang Zhu 001; Jay Pujara; Xiang Ren 001 (ACL (1), 2022)

End-to-End Segmentation-based News Summarization. - Yang Liu 124; Chenguang Zhu 001; Michael Zeng 001 (ACL (Findings), 2022)

DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization. - Ziming Mao; Chen Henry Wu; Ansong Ni; Yusen Zhang 001; Rui Zhang 037; Tao Yu 009; Budhaditya Deb; Chenguang Zhu 001; Ahmed Hassan Awadallah; Dragomir R. Radev (ACL (1), 2022)

Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data. - Shuohang Wang; Yichong Xu; Yuwei Fang; Yang Liu 124; Siqi Sun; Ruochen Xu; Chenguang Zhu 001; Michael Zeng 001 (ACL (1), 2022)

KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. - Donghan Yu; Chenguang Zhu 001; Yuwei Fang; Wenhao Yu 002; Shuohang Wang; Yichong Xu; Xiang Ren 001; Yiming Yang; Michael Zeng 001 (ACL (1), 2022)

An Empirical Study of Training End-to-End Vision-and-Language Transformers. - Zi-Yi Dou; Yichong Xu; Zhe Gan; Jianfeng Wang; Shuohang Wang; Lijuan Wang; Chenguang Zhu 001; Pengchuan Zhang; Lu Yuan; Nanyun Peng 001; Zicheng Liu 001; Michael Zeng 001 (CVPR, 2022)

CLIP-Event: Connecting Text and Images with Event Structures. - Manling Li; Ruochen Xu; Shuohang Wang; Luowei Zhou; Xudong Lin 003; Chenguang Zhu 001; Michael Zeng 001; Heng Ji 001; Shih-Fu Chang (CVPR, 2022)

AdaPrompt: Adaptive Model Training for Prompt-based NLP. - Yulong Chen 001; Yang Liu 124; Li Dong; Shuohang Wang; Chenguang Zhu 001; Michael Zeng 001; Yue Zhang 004 (EMNLP (Findings), 2022)

Task Compass: Scaling Multi-task Pre-training with Task Prefix. - Zhuosheng Zhang 001; Shuohang Wang; Yichong Xu; Yuwei Fang; Wenhao Yu 002; Yang Liu 124; Hai Zhao 001; Chenguang Zhu 001; Michael Zeng 001 (EMNLP (Findings), 2022)

Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. - Wenhao Yu 002; Chenguang Zhu 001; Zhihan Zhang 001; Shuohang Wang; Zhuosheng Zhang 001; Yuwei Fang; Meng Jiang 001 (EMNLP, 2022)

Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering. - Ziniu Hu; Yichong Xu; Wenhao Yu 002; Shuohang Wang; Ziyi Yang; Chenguang Zhu 001; Kai-Wei Chang; Yizhou Sun (EMNLP, 2022)

Leveraging Locality in Abstractive Text Summarization. - Yixin Liu 003; Ansong Ni; Linyong Nan; Budhaditya Deb; Chenguang Zhu 001; Ahmed Hassan Awadallah; Dragomir Radev (EMNLP, 2022)

Automatic Rule Induction for Efficient Semi-Supervised Learning. - Reid Pryzant; Ziyi Yang; Yichong Xu; Chenguang Zhu 001; Michael Zeng 001 (EMNLP (Findings), 2022)

ParaTag: A Dataset of Paraphrase Tagging for Fine-Grained Labels, NLG Evaluation, and Data Augmentation. - Shuohang Wang; Ruochen Xu; Yang Liu 124; Chenguang Zhu 001; Michael Zeng 001 (EMNLP, 2022)

Narrate Dialogues for Better Summarization. - Ruochen Xu; Chenguang Zhu 001; Michael Zeng 001 (EMNLP (Findings), 2022)

A Unified Encoder-Decoder Framework with Entity Memory. - Zhihan Zhang 001; Wenhao Yu 002; Chenguang Zhu 001; Meng Jiang 001 (EMNLP, 2022)

Towards a Unified Multi-Dimensional Evaluator for Text Generation. - Ming Zhong 005; Yang Liu 005; Da Yin; Yuning Mao; Yizhu Jiao; Pengfei Liu 003; Chenguang Zhu 001; Heng Ji 001; Jiawei Han 001 (EMNLP, 2022)

Unsupervised Multi-Granularity Summarization. - Ming Zhong 005; Yang Liu 124; Suyu Ge; Yuning Mao; Yizhu Jiao; Xingxing Zhang; Yichong Xu; Chenguang Zhu 001; Michael Zeng 001; Jiawei Han 001 (EMNLP (Findings), 2022)

Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention. - Yichong Xu; Chenguang Zhu 001; Shuohang Wang; Siqi Sun; Hao Cheng 002; Xiaodong Liu 003; Jianfeng Gao 001; Pengcheng He; Michael Zeng 001; Xuedong Huang 001 (IJCAI, 2022)

REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering. - Yuanze Lin; Yujia Xie; Dongdong Chen 001; Yichong Xu; Chenguang Zhu 001; Lu Yuan (NeurIPS, 2022)

Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners. - Zhenhailong Wang; Manling Li; Ruochen Xu; Luowei Zhou; Jie Lei 003; Xudong Lin 003; Shuohang Wang; Ziyi Yang; Chenguang Zhu 001; Derek Hoiem; Shih-Fu Chang; Mohit Bansal; et al. (NeurIPS, 2022)

Unsupervised Summarization with Customized Granularities. - Ming Zhong 005; Yang Liu 124; Suyu Ge; Yuning Mao; Yizhu Jiao; Xingxing Zhang; Yichong Xu; Chenguang Zhu 001; Michael Zeng 001; Jiawei Han 001 (CoRR, 2022)

Impossible Triangle: What's Next for Pre-trained Language Models? - Chenguang Zhu 001; Michael Zeng 001 (CoRR, 2022)

Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. - Pengcheng He; Baolin Peng; Liyang Lu; Song Wang 012; Jie Mei; Yang Liu 124; Ruochen Xu; Hany Hassan Awadalla; Yu Shi 001; Chenguang Zhu 001; Wayne Xiong; Michael Zeng 001; et al. (CoRR, 2022)

FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training. - Junyi Chai 003; Reid Pryzant; Victor Ye Dong; Konstantin Golobokov; Chenguang Zhu 001; Yi Liu (CoRR, 2022)

Towards a Unified Multi-Dimensional Evaluator for Text Generation. - Ming Zhong 005; Yang Liu 124; Da Yin; Yuning Mao; Yizhu Jiao; Pengfei Liu 003; Chenguang Zhu 001; Heng Ji 001; Jiawei Han 001 (CoRR, 2022)

Empowering Language Models with Knowledge Graph Reasoning for Question Answering. - Ziniu Hu; Yichong Xu; Wenhao Yu 002; Shuohang Wang; Ziyi Yang; Chenguang Zhu 001; Kai-Wei Chang; Yizhou Sun (CoRR, 2022)

UniSumm: Unified Few-shot Summarization with Multi-Task Pre-Training and Prefix-Tuning. - Yulong Chen 001; Yang Liu 124; Ruochen Xu; Ziyi Yang; Chenguang Zhu 001; Michael Zeng 001; Yue Zhang 004 (CoRR, 2022)

A Survey of Knowledge-enhanced Text Generation. - Wenhao Yu 002; Chenguang Zhu 001; Zaitang Li; Zhiting Hu; Qingyun Wang 005; Heng Ji 001; Meng Jiang 001 (ACM Comput. Surv., 2022)

i-Code: An Integrative and Composable Multimodal Learning Framework. - Ziyi Yang; Yuwei Fang; Chenguang Zhu 001; Reid Pryzant; Dongdong Chen 001; Yu Shi 001; Yichong Xu; Yao Qian; Mei Gao; Yi-Ling Chen; Liyang Lu; Yujia Xie; et al. (AAAI, 2023)

UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarization. - Yulong Chen 001; Yang Liu 124; Ruochen Xu; Ziyi Yang; Chenguang Zhu 001; Michael Zeng 001; Yue Zhang 004 (ACL (1), 2023)

APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning. - Soumya Sanyal 001; Yichong Xu; Shuohang Wang; Ziyi Yang; Reid Pryzant; Wenhao Yu 002; Chenguang Zhu 001; Xiang Ren 001 (ACL (1), 2023)

Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. - Pengcheng He; Baolin Peng; Song Wang 012; Yang Liu 124; Ruochen Xu; Hany Hassan; Yu Shi 001; Chenguang Zhu 001; Wayne Xiong; Michael Zeng 001; Jianfeng Gao 001; Xuedong Huang 001 (ACL (1), 2023)

Unifying Vision, Text, and Layout for Universal Document Processing. - Zineng Tang; Ziyi Yang; Guoxin Wang; Yuwei Fang; Yang Liu 124; Chenguang Zhu 001; Michael Zeng 001; Cha Zhang; Mohit Bansal (CVPR, 2023)

Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles. - Shuquan Ye; Yujia Xie; Dongdong Chen 001; Yichong Xu; Lu Yuan; Chenguang Zhu 001; Jing Liao 001 (CVPR, 2023)

In-Context Demonstration Selection with Cross Entropy Difference. - Dan Iter; Reid Pryzant; Ruochen Xu; Shuohang Wang; Yang Liu; Yichong Xu; Chenguang Zhu 001 (EMNLP (Findings), 2023)

The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions. - Siru Ouyang; Shuohang Wang; Yang Liu; Ming Zhong 005; Yizhu Jiao; Dan Iter; Reid Pryzant; Chenguang Zhu 001; Heng Ji 001; Jiawei Han 001 (EMNLP, 2023)

Automatic Prompt Optimization with "Gradient Descent" and Beam Search. - Reid Pryzant; Dan Iter; Jerry Li 001; Yin Tat Lee; Chenguang Zhu 001; Michael Zeng 001 (EMNLP, 2023)

LMGQS: A Large-scale Dataset for Query-focused Summarization. - Ruochen Xu; Song Wang 012; Yang Liu 124; Shuohang Wang; Yichong Xu; Dan Iter; Pengcheng He; Chenguang Zhu 001; Michael Zeng 001 (EMNLP (Findings), 2023)

InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT. - Yichong Xu; Ruochen Xu; Dan Iter; Yang Liu 124; Shuohang Wang; Chenguang Zhu 001; Michael Zeng 001 (EMNLP (Findings), 2023)

Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models. - Zhihan Zhang 001; Shuohang Wang; Wenhao Yu 002; Yichong Xu; Dan Iter; Qingkai Zeng 001; Yang Liu 124; Chenguang Zhu 001; Meng Jiang 001 (EMNLP (Findings), 2023)

Generate rather than Retrieve: Large Language Models are Strong Context Generators. - Wenhao Yu 002; Dan Iter; Shuohang Wang; Yichong Xu; Mingxuan Ju; Soumya Sanyal 001; Chenguang Zhu 001; Michael Zeng 001; Meng Jiang 001 (ICLR, 2023)

Any-to-Any Generation via Composable Diffusion. - Zineng Tang; Ziyi Yang; Chenguang Zhu 001; Michael Zeng 001; Mohit Bansal (NeurIPS, 2023)

Knowledge-Augmented Methods for Natural Language Processing. - Chenguang Zhu 001; Yichong Xu; Xiang Ren 001; Bill Yuchen Lin; Meng Jiang 001; Wenhao Yu 002 (WSDM, 2023)

G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment. - Yang Liu 124; Dan Iter; Yichong Xu; Shuohang Wang; Ruochen Xu; Chenguang Zhu 001 (CoRR, 2023)

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. - Ziyi Yang; Mahmoud Khademi; Yichong Xu; Reid Pryzant; Yuwei Fang; Chenguang Zhu 001; Dongdong Chen 001; Yao Qian; Mei Gao; Yi-Ling Chen; Robert Gmyr; Naoyuki Kanda; et al. (CoRR, 2023)

LMGQS: A Large-scale Dataset for Query-focused Summarization. - Ruochen Xu; Song Wang 012; Yang Liu 124; Shuohang Wang; Yichong Xu; Dan Iter; Chenguang Zhu 001; Michael Zeng 001 (CoRR, 2023)

i-Code Studio: A Configurable and Composable Framework for Integrative AI. - Yuwei Fang; Mahmoud Khademi; Chenguang Zhu 001; Ziyi Yang; Reid Pryzant; Yichong Xu; Yao Qian; Takuya Yoshioka; Lu Yuan; Michael Zeng 001; Xuedong Huang 001 (CoRR, 2023)

PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents. - Simeng Sun; Yang Liu 124; Shuohang Wang; Chenguang Zhu 001; Mohit Iyyer (CoRR, 2023)

The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions. - Siru Ouyang; Shuohang Wang; Yang Liu 124; Ming Zhong 005; Yizhu Jiao; Dan Iter; Reid Pryzant; Chenguang Zhu 001; Heng Ji 001; Jiawei Han 001 (CoRR, 2023)

MACSum: Controllable Summarization with Mixed Attributes. - Yusen Zhang 001; Yang Liu 124; Ziyi Yang; Yuwei Fang; Yulong Chen 001; Dragomir Radev; Chenguang Zhu 001; Michael Zeng 001; Rui Zhang 037 (Trans. Assoc. Comput. Linguistics, 2023)

Small Models are Valuable Plug-ins for Large Language Models. - Canwen Xu; Yichong Xu; Shuohang Wang; Yang Liu 124; Chenguang Zhu 001; Julian J. McAuley (ACL (Findings), 2024)

How Does In-Context Learning Help Prompt Tuning? - Simeng Sun; Yang Liu 124; Dan Iter; Chenguang Zhu 001; Mohit Iyyer (EACL (Findings), 2024)

PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents. - Simeng Sun; Yang Liu 124; Shuohang Wang; Dan Iter; Chenguang Zhu 001; Mohit Iyyer (EACL (1), 2024)

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. - Ziyi Yang; Mahmoud Khademi; Yichong Xu; Reid Pryzant; Yuwei Fang; Chenguang Zhu 001; Dongdong Chen 001; Yao Qian; Xuemei Gao; Yi-Ling Chen; Robert Gmyr; Naoyuki Kanda; et al. (NAACL-HLT (Findings), 2024)

See What LLMs Cannot Answer: A Self-Challenge Framework for Uncovering LLM Weaknesses. - Yulong Chen 001; Yang Liu 124; Jianhao Yan; Xuefeng Bai 001; Ming Zhong 005; Yinghao Yang; Ziyi Yang; Chenguang Zhu 001; Yue Zhang 004 (CoRR, 2024)

Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following. - Yun He; Di Jin; Chaoqi Wang; Chloe Bi; Karishma Mandyam; Hejia Zhang; Chen Zhu; Ning Li; Tengyu Xu; Hongjiang Lv; Shruti Bhosale; Chenguang Zhu 001; et al. (CoRR, 2024)

Knowledge-augmented Methods for Natural Language Processing - Meng Jiang 001; Bill Yuchen Lin; Shuohang Wang; Yichong Xu; Wenhao Yu 002; Chenguang Zhu 001 (Springer, 2024)

Law of the Weakest Link: Cross Capabilities of Large Language Models. - Ming Zhong 005; Aston Zhang; Xuewei Wang; Rui Hou; Wenhan Xiong; Chenguang Zhu 001; Zhengxing Chen; Liang Tan; Chloe Bi; Mike Lewis; Sravya Popuri; Sharan Narang; et al. (ICLR, 2025)

Self-Generated Critiques Boost Reward Modeling for Language Models. - Yue Yu; Zhengxing Chen; Aston Zhang; Liang Tan; Chenguang Zhu 001; Richard Yuanzhe Pang; Yundi Qian; Xuewei Wang; Suchin Gururangan; Chao Zhang; Melanie Kambadur; Dhruv Mahajan 001; et al. (NAACL (Long Papers), 2025)

Boosting LLM Reasoning via Spontaneous Self-Correction. - Xutong Zhao; Tengyu Xu; Xuewei Wang; Zhengxing Chen; Di Jin; Liang Tan; Yen-Ting; Zishun Yu; Zhuokai Zhao; Yun He; Sinong Wang; Han Fang; et al. (CoRR, 2025)