Bo Pang - RankMe

61 papers A* 14A 2Journal 36Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Inference-Time Rethinking with Latent Thought Vectors for Math Reasoning. CoRR Deqian Kong, Minglu Zhao, Aoyang Qin, Bo Pang, Chenxin Tao, David Hartmann, Edouardo Honig, Dehong Xu, Amit Kumar, Matthew Sarte, Chuan Li, Jianwen Xie, Ying Nian Wu
2025	J	`jnl`	A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce. CoRR Wei Xiong, Jiarui Yao, Yuhui Xu, Bo Pang, Lei Wang, Doyen Sahoo, Junnan Li, Nan Jiang, Tong Zhang, Caiming Xiong, Hanze Dong
2025	J	`jnl`	BOLT: Bootstrap Long Chain-of-Thought in Language Models without Distillation. CoRR Bo Pang, Hanze Dong, Jiacheng Xu, Silvio Savarese, Yingbo Zhou, Caiming Xiong
2025	J	`jnl`	CLOVER: A Test Case Generation Benchmark with Coverage, Long-Context, and Verification. CoRR Jiacheng Xu, Bo Pang, Jin Qu, Hiroaki Hayashi, Caiming Xiong, Yingbo Zhou
2025	J	`jnl`	CoDA: Coding LM via Diffusion Adaptation. CoRR Haolin Chen, Shiyu Wang, Can Qin, Bo Pang, Zuxin Liu, Jielin Qiu, Jianguo Zhang, Yingbo Zhou, Zeyuan Chen, Ran Xu, Shelby Heinecke, Silvio Savarese, Caiming Xiong, Huan Wang, Weiran Yao
2025	A*	`conf`	Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents. ICLR 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	A*	`conf`	GReaTer: Gradients Over Reasoning Makes Smaller Language Models Strong Prompt Optimizers. ICLR Sarkar Snigdha Sarathi Das, Ryo Kamoi, Bo Pang, Yusen Zhang, Caiming Xiong, Rui Zhang
2025	A*	`conf`	Latent Thought Models with Variational Bayes Inference-Time Computation. ICML Deqian Kong, Minglu Zhao, Dehong Xu, Bo Pang, Shu Wang, Edouardo Honig, Zhangzhang Si, Chuan Li, Jianwen Xie, Sirui Xie, Ying Nian Wu
2025	J	`jnl`	Reasoning Curriculum: Bootstrapping Broad LLM Reasoning from Math. CoRR Bo Pang, Deqian Kong, Silvio Savarese, Caiming Xiong, Yingbo Zhou
2025	J	`jnl`	SSR: Socratic Self-Refine for Large Language Model Reasoning. CoRR Haizhou Shi, Ye Liu, Bo Pang, Zeyu Leo Liu, Hao Wang, Silvio Savarese, Caiming Xiong, Yingbo Zhou, Semih Yavuz
2025	J	`jnl`	Scalable Language Models with Posterior Inference of Latent Thought Vectors. CoRR Deqian Kong, Minglu Zhao, Dehong Xu, Bo Pang, Shu Wang, Edouardo Honig, Zhangzhang Si, Chuan Li, Jianwen Xie, Sirui Xie, Ying Nian Wu
2025	J	`jnl`	Self-Abstraction from Grounded Experience for Plan-Guided Policy Refinement. CoRR Hiroaki Hayashi, Bo Pang, Wenting Zhao, Ye Liu, Akash Gokul, Srijan Bansal, Caiming Xiong, Semih Yavuz, Yingbo Zhou
2025	J	`jnl`	xGen-small Technical Report. CoRR Erik Nijkamp, Bo Pang, Egor Pakhomov, Akash Gokul, Jin Qu, Silvio Savarese, Yingbo Zhou, Caiming Xiong
2024	—	`conf`	ARM: Alignment with Residual Energy-Based Model. NAACL-HLT Bo Pang, Caiming Xiong, Yingbo Zhou
2024	J	`jnl`	Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents. CoRR Kexun Zhang, Weiran Yao, Zuxin Liu, Yihao Feng, Zhiwei Liu, Rithesh Murthy, Tian Lan, Lei Li, Renze Lou, Jiacheng Xu, Bo Pang, Yingbo Zhou, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong
2024	J	`jnl`	GReaTer: Gradients over Reasoning Makes Smaller Language Models Strong Prompt Optimizers. CoRR Sarkar Snigdha Sarathi Das, Ryo Kamoi, Bo Pang, Yusen Zhang, Caiming Xiong, Rui Zhang
2024	A*	`conf`	Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference. NeurIPS Deqian Kong, Dehong Xu, Minglu Zhao, Bo Pang, Jianwen Xie, Andrew Lizarraga, Yuhao Huang, Sirui Xie, Ying Nian Wu
2024	J	`jnl`	Latent Plan Transformer: Planning as Latent Variable Inference. CoRR Deqian Kong, Dehong Xu, Minglu Zhao, Bo Pang, Jianwen Xie, Andrew Lizarraga, Yuhao Huang, Sirui Xie, Ying Nian Wu
2024	J	`jnl`	RLHF Workflow: From Reward Modeling to Online RLHF. CoRR Hanze Dong, Wei Xiong, Bo Pang, Haoxiang Wang, Han Zhao, Yingbo Zhou, Nan Jiang, Doyen Sahoo, Caiming Xiong, Tong Zhang
2024	J	`jnl`	RLHF Workflow: From Reward Modeling to Online RLHF. Trans. Mach. Learn. Res. Hanze Dong, Wei Xiong, Bo Pang, Haoxiang Wang, Han Zhao, Yingbo Zhou, Nan Jiang, Doyen Sahoo, Caiming Xiong, Tong Zhang
2023	A*	`conf`	CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis. ICLR Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong
2023	A*	`conf`	Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference. ICML Yan Xu, Deqian Kong, Dehong Xu, Ziwei Ji, Bo Pang, Pascale Fung, Ying Nian Wu
2023	J	`jnl`	Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference. CoRR Yan Xu, Deqian Kong, Dehong Xu, Ziwei Ji, Bo Pang, Pascale Fung, Ying Nian Wu
2023	—	`conf`	Few-shot Unified Question Answering: Tuning Models or Prompts? EMNLP (Findings) Srijan Bansal, Semih Yavuz, Bo Pang, Meghana Bhat, Yingbo Zhou
2023	J	`jnl`	Few-shot Unified Question Answering: Tuning Models or Prompts? CoRR Srijan Bansal, Semih Yavuz, Bo Pang, Meghana Bhat, Yingbo Zhou
2023	—	`conf`	Long Document Summarization with Top-down and Bottom-up Inference. EACL (Findings) Bo Pang, Erik Nijkamp, Wojciech Kryscinski, Silvio Savarese, Yingbo Zhou, Caiming Xiong
2023	A	`conf`	Molecule Design by Latent Space Energy-Based Modeling and Gradual Distribution Shifting. UAI Deqian Kong, Bo Pang, Tian Han, Ying Nian Wu
2023	J	`jnl`	Molecule Design by Latent Space Energy-Based Modeling and Gradual Distribution Shifting. CoRR Deqian Kong, Bo Pang, Tian Han, Ying Nian Wu
2023	—	`conf`	SharPT: Shared Latent Space Prompt Tuning. EACL (Findings) Bo Pang, Semih Yavuz, Caiming Xiong, Yingbo Zhou
2023	J	`jnl`	XGen-7B Technical Report. CoRR 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
2022	J	`jnl`	A Conversational Paradigm for Program Synthesis. CoRR Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong
2022	J	`jnl`	BigIssue: A Realistic Bug Localization Benchmark. CoRR Paul Kassianik, Erik Nijkamp, Bo Pang, Yingbo Zhou, Caiming Xiong
2022	J	`jnl`	Latent Diffusion Energy-Based Model for Interpretable Text Modeling. CoRR Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu
2022	A*	`conf`	Latent Diffusion Energy-Based Model for Interpretable Text Modelling. ICML Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu
2022	A*	`conf`	Learning Probabilistic Models from Generator Latent Spaces with Hat EBM. NeurIPS Mitch Hill, Erik Nijkamp, Jonathan Mitchell, Bo Pang, Song-Chun Zhu
2022	J	`jnl`	Learning Probabilistic Models from Generator Latent Spaces with Hat EBM. CoRR Mitch Hill, Erik Nijkamp, Jonathan Mitchell, Bo Pang, Song-Chun Zhu
2022	J	`jnl`	Long Document Summarization with Top-down and Bottom-up Inference. CoRR Bo Pang, Erik Nijkamp, Wojciech Kryscinski, Silvio Savarese, Yingbo Zhou, Caiming Xiong
2022	A*	`conf`	MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC. ICLR Erik Nijkamp, Ruiqi Gao, Pavel Sountsov, Srinivas Vasudevan, Bo Pang, Song-Chun Zhu, Ying Nian Wu
2021	A	`conf`	Generative Text Modeling through Short Run Inference. EACL Bo Pang, Erik Nijkamp, Tian Han, Ying Nian Wu
2021	J	`jnl`	Generative Text Modeling through Short Run Inference. CoRR Bo Pang, Erik Nijkamp, Tian Han, Ying Nian Wu
2021	A*	`conf`	Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification. ICML Bo Pang, Ying Nian Wu
2021	J	`jnl`	Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification. CoRR Bo Pang, Ying Nian Wu
2021	—	`conf`	Robust Transfer Learning with Pretrained Language Models through Adapters. ACL/IJCNLP (2) Wenjuan Han, Bo Pang, Ying Nian Wu
2021	J	`jnl`	Robust Transfer Learning with Pretrained Language Models through Adapters. CoRR Wenjuan Han, Bo Pang, Ying Nian Wu
2021	—	`conf`	SCRIPT: Self-Critic PreTraining of Transformers. NAACL-HLT Erik Nijkamp, Bo Pang, Ying Nian Wu, Caiming Xiong
2021	A*	`conf`	Trajectory Prediction With Latent Belief Energy-Based Model. CVPR Bo Pang, Tianyang Zhao, Xu Xie, Ying Nian Wu
2021	J	`jnl`	Trajectory Prediction with Latent Belief Energy-Based Model. CoRR Bo Pang, Tianyang Zhao, Xu Xie, Ying Nian Wu
2020	A*	`conf`	Joint Training of Variational Auto-Encoder and Latent Energy-Based Model. CVPR Tian Han, Erik Nijkamp, Linqi Zhou, Bo Pang, Song-Chun Zhu, Ying Nian Wu
2020	J	`jnl`	Joint Training of Variational Auto-Encoder and Latent Energy-Based Model. CoRR Tian Han, Erik Nijkamp, Linqi Zhou, Bo Pang, Song-Chun Zhu, Ying Nian Wu
2020	J	`jnl`	Learning Energy-based Model with Flow-based Backbone by Neural Transport MCMC. CoRR Erik Nijkamp, Ruiqi Gao, Pavel Sountsov, Srinivas Vasudevan, Bo Pang, Song-Chun Zhu, Ying Nian Wu
2020	J	`jnl`	Learning Latent Space Energy-Based Prior Model for Molecule Generation. CoRR Bo Pang, Tian Han, Ying Nian Wu
2020	A*	`conf`	Learning Latent Space Energy-Based Prior Model. NeurIPS Bo Pang, Tian Han, Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu
2020	J	`jnl`	Learning Latent Space Energy-Based Prior Model. CoRR Bo Pang, Tian Han, Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu
2020	—	`conf`	Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference. ECCV (6) Erik Nijkamp, Bo Pang, Tian Han, Linqi Zhou, Song-Chun Zhu, Ying Nian Wu
2020	J	`jnl`	Semi-supervised Learning by Latent Space Energy-Based Model of Symbol-Vector Coupling. CoRR Bo Pang, Erik Nijkamp, Jiali Cui, Tian Han, Ying Nian Wu
2020	A*	`conf`	Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation. ACL Bo Pang, Erik Nijkamp, Wenjuan Han, Linqi Zhou, Yixian Liu, Kewei Tu
2019	—	`conf`	CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. EMNLP/IJCNLP (1) 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	J	`jnl`	CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. CoRR 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	J	`jnl`	Learning Deep Generative Models with Short Run Inference Dynamics. CoRR Erik Nijkamp, Bo Pang, Tian Han, Linqi Zhou, Song-Chun Zhu, Ying Nian Wu
2019	—	`conf`	SParC: Cross-Domain Semantic Parsing in Context. ACL (1) 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	J	`jnl`	SParC: Cross-Domain Semantic Parsing in Context. CoRR 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