Ben Athiwaratkun

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 28

Top Topics

Code Generation

Dirichlet Prior

Convolutional Neural Networks

Top Venues

Publications

Ben Athiwaratkun, Shiqi Wang, Mingyue Shang, Yuchen Tian, Zijian Wang, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Rob Kwiatkowski, Ramesh Nallapati, Bing Xiang
Token Alignment via Character Matching for Subword Completion. CoRR (2024)
Junlin Wang, Jue Wang, Ben Athiwaratkun, Ce Zhang, James Zou
Mixture-of-Agents Enhances Large Language Model Capabilities. CoRR (2024)
Kezhen Chen, Rahul Thapa, Rahul Chalamala, Ben Athiwaratkun, Shuaiwen Leon Song, James Zou
Dragonfly: Multi-Resolution Zoom Supercharges Large Visual-Language Model. CoRR (2024)
Ben Athiwaratkun, Shiqi Wang, Mingyue Shang, Yuchen Tian, Zijian Wang, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Robert Kwiatkowski, Ramesh Nallapati, Parminder Bhatia, Bing Xiang
Token Alignment via Character Matching for Subword Completion. ACL (Findings) (2024)
Ben Athiwaratkun, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Haifeng Qian, Hantian Ding, Qing Sun, Jun Wang, Jiacheng Guo, Liangfu Chen, Parminder Bhatia, Ramesh Nallapati, Sudipta Sengupta, Bing Xiang
Bifurcated Attention for Single-Context Large-Batch Sampling. CoRR (2024)
Junlin Wang, Siddhartha Jain, Dejiao Zhang, Baishakhi Ray, Varun Kumar, Ben Athiwaratkun
Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies. CoRR (2024)
Xiaokai Wei, Sujan K. Gonugondla, Wasi Uddin Ahmad, Shiqi Wang, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, Bing Xiang
Greener yet Powerful: Taming Large Code Generation Models with Quantization. CoRR (2023)
Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati
Multi-lingual Evaluation of Code Generation Models. ICLR (2023)
Xiaokai Wei, Sujan Kumar Gonugondla, Shiqi Wang, Wasi Uddin Ahmad, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, Bing Xiang
Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study. ESEC/SIGSOFT FSE (2023)
Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang
Multi-lingual Evaluation of Code Generation Models. CoRR (2022)
Yang Li, Ben Athiwaratkun, Cícero Nogueira dos Santos, Bing Xiang
Joint Text and Label Generation for Spoken Language Understanding. CoRR (2021)
Dheeru Dua, Cícero Nogueira dos Santos, Patrick Ng, Ben Athiwaratkun, Bing Xiang, Matt Gardner, Sameer Singh
Generative Context Pair Selection for Multi-hop Question Answering. EMNLP (1) (2021)
Dheeru Dua, Cícero Nogueira dos Santos, Patrick Ng, Ben Athiwaratkun, Bing Xiang, Matt Gardner, Sameer Singh
Generative Context Pair Selection for Multi-hop Question Answering. CoRR (2021)
Giovanni Paolini, Ben Athiwaratkun, Jason Krone, Jie Ma, Alessandro Achille, Rishita Anubhai, Cícero Nogueira dos Santos, Bing Xiang, Stefano Soatto
Structured Prediction as Translation between Augmented Natural Languages. ICLR (2021)
Giovanni Paolini, Ben Athiwaratkun, Jason Krone, Jie Ma, Alessandro Achille, Rishita Anubhai, Cícero Nogueira dos Santos, Bing Xiang, Stefano Soatto
Structured Prediction as Translation between Augmented Natural Languages. CoRR (2021)
Ben Athiwaratkun, Cícero Nogueira dos Santos, Jason Krone, Bing Xiang
Augmented Natural Language for Generative Sequence Labeling. CoRR (2020)
Ben Athiwaratkun, Cícero Nogueira dos Santos, Jason Krone, Bing Xiang
Augmented Natural Language for Generative Sequence Labeling. EMNLP (1) (2020)
Ben Athiwaratkun, Marc Finzi, Pavel Izmailov, Andrew Gordon Wilson
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average. ICLR (Poster) (2019)
Ben Athiwaratkun, Andrew Gordon Wilson, Anima Anandkumar
Probabilistic FastText for Multi-Sense Word Embeddings. CoRR (2018)
Ben Athiwaratkun, Andrew Gordon Wilson, Anima Anandkumar
Probabilistic FastText for Multi-Sense Word Embeddings. ACL (1) (2018)
Xilun Chen, Yu Sun, Ben Athiwaratkun, Claire Cardie, Kilian Q. Weinberger
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification. Trans. Assoc. Comput. Linguistics 6 (2018)
Ben Athiwaratkun, Andrew Gordon Wilson
Hierarchical Density Order Embeddings. CoRR (2018)
Ben Athiwaratkun, Andrew Gordon Wilson
Hierarchical Density Order Embeddings. ICLR (Poster) (2018)
Ben Athiwaratkun, Marc Finzi, Pavel Izmailov, Andrew Gordon Wilson
Improving Consistency-Based Semi-Supervised Learning with Weight Averaging. CoRR (2018)
Ben Athiwaratkun, Andrew Gordon Wilson
Multimodal Word Distributions. CoRR (2017)
Ben Athiwaratkun, Jack W. Stokes
Malware classification with LSTM and GRU language models and a character-level CNN. ICASSP (2017)
Ben Athiwaratkun, Andrew Gordon Wilson
Multimodal Word Distributions. ACL (1) (2017)
Xilun Chen, Ben Athiwaratkun, Yu Sun, Kilian Q. Weinberger, Claire Cardie
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification. CoRR (2016)
Ben Athiwaratkun, Keegan Kang
Feature Representation in Convolutional Neural Networks. CoRR (2015)