Simplifying DINO via Coding Rate Regularization
Ziyang Wu, Jingyuan Zhang, Druv Pai, XuDong Wang, Chandan Singh, Jianwei Yang, Jianfeng Gao, Yi Ma
ICML 2025 | February 2025
Chandan Singh
Senior Researcher
Papiers de Collaboration
-
-
-
-
Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries
Zelalem Gero, Chandan Singh, Yiqing Xie, Sheng Zhang, Tristan Naumann, Jianfeng Gao, Hoifung Poon
NeurIPS 2024 | December 2024
-
Crafting Interpretable Embeddings by Asking LLMs Questions
Vinamra Benara, Chandan Singh, John X. Morris, Richard Antonello, Ion Stoica, Alexander Huth, Jianfeng Gao
NeurIPS 2024 | May 2024
-
-
-
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs
Qingru Zhang, Chandan Singh, Liyuan Liu, Xiaodong Liu, Bin Yu, Jianfeng Gao, Tuo Zhao
ICLR 2024 | November 2023
-
Tree Prompting: Efficient Task Adaptation without Fine-Tuning
EMNLP | November 2023
-
Self-Verification Improves Few-Shot Clinical Information Extraction
Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
May 2023
-
-
-
-
Simplifying DINO via Coding Rate Regularization
Ziyang Wu, Jingyuan Zhang, Druv Pai, XuDong Wang, Chandan Singh, Jianwei Yang, Jianfeng Gao, Yi Ma
ICML 2025 | February 2025
-
Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries
Zelalem Gero, Chandan Singh, Yiqing Xie, Sheng Zhang, Tristan Naumann, Jianfeng Gao, Hoifung Poon
NeurIPS 2024 | December 2024
-
Crafting Interpretable Embeddings by Asking LLMs Questions
Vinamra Benara, Chandan Singh, John X. Morris, Richard Antonello, Ion Stoica, Alexander Huth, Jianfeng Gao
NeurIPS 2024 | May 2024
-
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs
Qingru Zhang, Chandan Singh, Liyuan Liu, Xiaodong Liu, Bin Yu, Jianfeng Gao, Tuo Zhao
ICLR 2024 | November 2023
-
Tree Prompting: Efficient Task Adaptation without Fine-Tuning
EMNLP | November 2023
-
Self-Verification Improves Few-Shot Clinical Information Extraction
Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
May 2023
-
Explaining Patterns in Data with Language Models via Interpretable Autoprompting
Chandan Singh, Jyoti Aneja, Jianfeng Gao
October 2022
-
Emb-GAM: an Interpretable and Efficient Predictor using Pre-trained Language Models
September 2022
-
-
-
Simplifying DINO via Coding Rate Regularization
Ziyang Wu, Jingyuan Zhang, Druv Pai, XuDong Wang, Chandan Singh, Jianwei Yang, Jianfeng Gao, Yi Ma
ICML 2025 | February 2025
-
-
-
Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries
Zelalem Gero, Chandan Singh, Yiqing Xie, Sheng Zhang, Tristan Naumann, Jianfeng Gao, Hoifung Poon
NeurIPS 2024 | December 2024
-
Self-Verification Improves Few-Shot Clinical Information Extraction
Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
May 2023
-
-
-
Simplifying DINO via Coding Rate Regularization
Ziyang Wu, Jingyuan Zhang, Druv Pai, XuDong Wang, Chandan Singh, Jianwei Yang, Jianfeng Gao, Yi Ma
ICML 2025 | February 2025
-
Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries
Zelalem Gero, Chandan Singh, Yiqing Xie, Sheng Zhang, Tristan Naumann, Jianfeng Gao, Hoifung Poon
NeurIPS 2024 | December 2024
-
Crafting Interpretable Embeddings by Asking LLMs Questions
Vinamra Benara, Chandan Singh, John X. Morris, Richard Antonello, Ion Stoica, Alexander Huth, Jianfeng Gao
NeurIPS 2024 | May 2024
-
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs
Qingru Zhang, Chandan Singh, Liyuan Liu, Xiaodong Liu, Bin Yu, Jianfeng Gao, Tuo Zhao
ICLR 2024 | November 2023
-
Tree Prompting: Efficient Task Adaptation without Fine-Tuning
EMNLP | November 2023
-
-
-