SParC: Cross-Domain Semantic Parsing in Context. - Tao Yu 009; Rui Zhang 037; Michihiro Yasunaga; Yi Chern Tan; Xi Victoria Lin; Suyi Li 002; Heyang Er; Irene Li; Bo Pang 004; Tao Chen; Emily Ji; Shreya Dixit; et al. (ACL (1), 2019)

CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. - Tao Yu 009; Rui Zhang 037; Heyang Er; Suyi Li 002; Eric Xue 001; Bo Pang 004; Xi Victoria Lin; Yi Chern Tan; Tianze Shi; Zihan Li; Youxuan Jiang; Michihiro Yasunaga; et al. (EMNLP/IJCNLP (1), 2019)

Learning Deep Generative Models with Short Run Inference Dynamics. - Erik Nijkamp; Bo Pang 004; Tian Han 001; Linqi Zhou; Song-Chun Zhu; Ying Nian Wu (CoRR, 2019)

Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation. - Bo Pang 004; Erik Nijkamp; Wenjuan Han; Linqi Zhou; Yixian Liu; Kewei Tu (ACL, 2020)

Joint Training of Variational Auto-Encoder and Latent Energy-Based Model. - Tian Han 001; Erik Nijkamp; Linqi Zhou; Bo Pang 004; Song-Chun Zhu; Ying Nian Wu (CVPR, 2020)

Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference. - Erik Nijkamp; Bo Pang 004; Tian Han 001; Linqi Zhou; Song-Chun Zhu; Ying Nian Wu (ECCV (6), 2020)

Learning Latent Space Energy-Based Prior Model. - Bo Pang 004; Tian Han 001; Erik Nijkamp; Song-Chun Zhu; Ying Nian Wu (NeurIPS, 2020)

Learning Energy-based Model with Flow-based Backbone by Neural Transport MCMC. - Erik Nijkamp; Ruiqi Gao; Pavel Sountsov; Srinivas Vasudevan; Bo Pang 004; Song-Chun Zhu; Ying Nian Wu (CoRR, 2020)

Learning Latent Space Energy-Based Prior Model for Molecule Generation. - Bo Pang 004; Tian Han 001; Ying Nian Wu (CoRR, 2020)

Semi-supervised Learning by Latent Space Energy-Based Model of Symbol-Vector Coupling. - Bo Pang 004; Erik Nijkamp; Jiali Cui; Tian Han 001; Ying Nian Wu (CoRR, 2020)

Robust Transfer Learning with Pretrained Language Models through Adapters. - Wenjuan Han; Bo Pang 004; Ying Nian Wu (ACL/IJCNLP (2), 2021)

Trajectory Prediction With Latent Belief Energy-Based Model. - Bo Pang 004; Tianyang Zhao; Xu Xie 001; Ying Nian Wu (CVPR, 2021)

Generative Text Modeling through Short Run Inference. - Bo Pang 004; Erik Nijkamp; Tian Han 001; Ying Nian Wu (EACL, 2021)

Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification. - Bo Pang 004; Ying Nian Wu (ICML, 2021)

SCRIPT: Self-Critic PreTraining of Transformers. - Erik Nijkamp; Bo Pang 004; Ying Nian Wu; Caiming Xiong (NAACL-HLT, 2021)

MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC. - Erik Nijkamp; Ruiqi Gao; Pavel Sountsov; Srinivas Vasudevan; Bo Pang 004; Song-Chun Zhu; Ying Nian Wu (ICLR, 2022)

Latent Diffusion Energy-Based Model for Interpretable Text Modelling. - Peiyu Yu; Sirui Xie; Xiaojian Ma 001; Baoxiong Jia; Bo Pang 004; Ruiqi Gao; Yixin Zhu 001; Song-Chun Zhu; Ying Nian Wu (ICML, 2022)

Learning Probabilistic Models from Generator Latent Spaces with Hat EBM. - Mitch Hill; Erik Nijkamp; Jonathan Mitchell; Bo Pang 004; Song-Chun Zhu (NeurIPS, 2022)

A Conversational Paradigm for Program Synthesis. - Erik Nijkamp; Bo Pang 004; Hiroaki Hayashi; Lifu Tu; Huan Wang 014; Yingbo Zhou; Silvio Savarese; Caiming Xiong (CoRR, 2022)

Latent Diffusion Energy-Based Model for Interpretable Text Modeling. - Peiyu Yu; Sirui Xie; Xiaojian Ma 001; Baoxiong Jia; Bo Pang 004; Ruiqi Gao; Yixin Zhu 001; Song-Chun Zhu; Ying Nian Wu (CoRR, 2022)

BigIssue: A Realistic Bug Localization Benchmark. - Paul Kassianik; Erik Nijkamp; Bo Pang 004; Yingbo Zhou; Caiming Xiong (CoRR, 2022)

Long Document Summarization with Top-down and Bottom-up Inference. - Bo Pang 004; Erik Nijkamp; Wojciech Kryscinski; Silvio Savarese; Yingbo Zhou; Caiming Xiong (EACL (Findings), 2023)

SharPT: Shared Latent Space Prompt Tuning. - Bo Pang 004; Semih Yavuz; Caiming Xiong; Yingbo Zhou (EACL (Findings), 2023)

Few-shot Unified Question Answering: Tuning Models or Prompts? - Srijan Bansal; Semih Yavuz; Bo Pang 004; Meghana Bhat; Yingbo Zhou (EMNLP (Findings), 2023)

CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis. - Erik Nijkamp; Bo Pang 004; Hiroaki Hayashi; Lifu Tu; Huan Wang 014; Yingbo Zhou; Silvio Savarese; Caiming Xiong (ICLR, 2023)

Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference. - Yan Xu 012; Deqian Kong; Dehong Xu; Ziwei Ji 001; Bo Pang 004; Pascale Fung; Ying Nian Wu (ICML, 2023)

Molecule Design by Latent Space Energy-Based Modeling and Gradual Distribution Shifting. - Deqian Kong; Bo Pang 004; Tian Han 001; Ying Nian Wu (UAI, 2023)

XGen-7B Technical Report. - Erik Nijkamp; Tian Xie; Hiroaki Hayashi; Bo Pang 004; Congying Xia; Chen Xing; Jesse Vig; Semih Yavuz; Philippe Laban; Ben Krause; Senthil Purushwalkam; Tong Niu; et al. (CoRR, 2023)

ARM: Alignment with Residual Energy-Based Model. - Bo Pang 004; Caiming Xiong; Yingbo Zhou (NAACL-HLT, 2024)

Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference. - Deqian Kong; Dehong Xu; Minglu Zhao; Bo Pang 004; Jianwen Xie; Andrew Lizarraga; Yuhao Huang; Sirui Xie; Ying Nian Wu (NeurIPS, 2024)

Latent Plan Transformer: Planning as Latent Variable Inference. - Deqian Kong; Dehong Xu; Minglu Zhao; Bo Pang 004; Jianwen Xie; Andrew Lizarraga; Yuhao Huang; Sirui Xie; Ying Nian Wu (CoRR, 2024)

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents. - Kexun Zhang; Weiran Yao; Zuxin Liu; Yihao Feng; Zhiwei Liu 001; Rithesh Murthy; Tian Lan 006; Lei Li 005; Renze Lou; Jiacheng Xu 001; Bo Pang 004; Yingbo Zhou; et al. (CoRR, 2024)

RLHF Workflow: From Reward Modeling to Online RLHF. - Hanze Dong; Wei Xiong 015; Bo Pang 004; Haoxiang Wang 003; Han Zhao 002; Yingbo Zhou; Nan Jiang 008; Doyen Sahoo; Caiming Xiong; Tong Zhang 001 (Trans. Mach. Learn. Res., 2024)

GReaTer: Gradients Over Reasoning Makes Smaller Language Models Strong Prompt Optimizers. - Sarkar Snigdha Sarathi Das; Ryo Kamoi; Bo Pang 004; Yusen Zhang 001; Caiming Xiong; Rui Zhang 037 (ICLR, 2025)

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents. - Kexun Zhang; Weiran Yao; Zuxin Liu; Yihao Feng; Zhiwei Liu 001; Rithesh R. N.; Tian Lan 006; Lei Li 005; Renze Lou; Jiacheng Xu 001; Bo Pang 004; Yingbo Zhou; et al. (ICLR, 2025)

Scalable Language Models with Posterior Inference of Latent Thought Vectors. - Deqian Kong; Minglu Zhao; Dehong Xu; Bo Pang 004; Shu Wang 002; Edouardo Honig; Zhangzhang Si; Chuan Li; Jianwen Xie; Sirui Xie; Ying Nian Wu (CoRR, 2025)

BOLT: Bootstrap Long Chain-of-Thought in Language Models without Distillation. - Bo Pang 004; Hanze Dong; Jiacheng Xu 001; Silvio Savarese; Yingbo Zhou; Caiming Xiong (CoRR, 2025)

CLOVER: A Test Case Generation Benchmark with Coverage, Long-Context, and Verification. - Jiacheng Xu 001; Bo Pang 004; Jin Qu; Hiroaki Hayashi; Caiming Xiong; Yingbo Zhou (CoRR, 2025)

A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce. - Wei Xiong 015; Jiarui Yao; Yuhui Xu; Bo Pang 004; Lei Wang 185; Doyen Sahoo; Junnan Li 001; Nan Jiang 008; Tong Zhang 001; Caiming Xiong; Hanze Dong (CoRR, 2025)

xGen-small Technical Report. - Erik Nijkamp; Bo Pang 004; Egor Pakhomov; Akash Gokul; Jin Qu; Silvio Savarese; Yingbo Zhou; Caiming Xiong (CoRR, 2025)