Chandan Singh

Senior Researcher

论文与出版物

查看方式：

- Test-Time Learning with an Evolving Library
  
  Weijia Xu, Alessandro Sordoni, Chandan Singh, Zelalem Gero, Michel Galley, Xingdi Yuan, Jianfeng Gao
  
  May 2026
  
  Publication
- Agentic-imodels: Evolving agentic interpretability tools via autoresearch
  
  Chandan Singh, Yuting Tan, Weijia Xu, Zelalem Gero, Weiwei Yang, Michel Galley, Jianfeng Gao
  
  May 2026
  
  Publication
- Selecting Feature Interactions for Generalized Additive Models by Distilling Foundation Models
  
  Jingyun Jia, Chandan Singh, Rich Caruana, Benjamin J. Lengerich
  
  April 2026
  
  Publication
- Sanity Checks for Agentic Data Science
  
  Zachary T. Rewolinski, Austin Zane, Haoyang Huang, Chandan Singh, Chenglong Wang, Jianfeng Gao, Bin Yu
  
  April 2026
  
  Publication
- Interpretable Next-token Prediction via the Generalized Induction Head
  
  Eunji Kim, Sriya Mantena, Weiwei Yang, Chandan Singh, Sungroh Yoon, Jianfeng Gao
  
  NeurIPS 2025 | October 2025
  
  Publication
- Bayesian Concept Bottleneck Models with LLM Priors
  
  Jean Feng, Avni Kothari, Luke Zier, Chandan Singh, Yan Shuo Tan
  
  NeurIPS 2025 | September 2025
  
  DOI
- Text Generation Beyond Discrete Token Sampling
  
  Yufan Zhuang, Liyuan Liu, Chandan Singh, Jingbo Shang, Jianfeng Gao
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  DOI Publication Publication
- 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
  
  DOI Publication Publication
- 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
  
  DOI Publication Publication
- 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
  
  DOI Publication
- Tree Prompting: Efficient Task Adaptation without Fine-Tuning
  
  Chandan Singh, Jianfeng Gao
  
  EMNLP | November 2023
  
  Publication
- Self-Verification Improves Few-Shot Clinical Information Extraction
  
  Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
  
  May 2023
  
  Publication
- Explaining Patterns in Data with Language Models via Interpretable Autoprompting
  
  Chandan Singh, Jyoti Aneja, Jianfeng Gao
  
  October 2022
  
  Publication Github 项目
- Emb-GAM: an Interpretable and Efficient Predictor using Pre-trained Language Models
  
  Chandan Singh, Jianfeng Gao
  
  September 2022
  
  Publication Github

- Test-Time Learning with an Evolving Library
  
  Weijia Xu, Alessandro Sordoni, Chandan Singh, Zelalem Gero, Michel Galley, Xingdi Yuan, Jianfeng Gao
  
  May 2026
  
  Publication
- Agentic-imodels: Evolving agentic interpretability tools via autoresearch
  
  Chandan Singh, Yuting Tan, Weijia Xu, Zelalem Gero, Weiwei Yang, Michel Galley, Jianfeng Gao
  
  May 2026
  
  Publication
- Selecting Feature Interactions for Generalized Additive Models by Distilling Foundation Models
  
  Jingyun Jia, Chandan Singh, Rich Caruana, Benjamin J. Lengerich
  
  April 2026
  
  Publication
- Sanity Checks for Agentic Data Science
  
  Zachary T. Rewolinski, Austin Zane, Haoyang Huang, Chandan Singh, Chenglong Wang, Jianfeng Gao, Bin Yu
  
  April 2026
  
  Publication
- Interpretable Next-token Prediction via the Generalized Induction Head
  
  Eunji Kim, Sriya Mantena, Weiwei Yang, Chandan Singh, Sungroh Yoon, Jianfeng Gao
  
  NeurIPS 2025 | October 2025
  
  Publication
- Bayesian Concept Bottleneck Models with LLM Priors
  
  Jean Feng, Avni Kothari, Luke Zier, Chandan Singh, Yan Shuo Tan
  
  NeurIPS 2025 | September 2025
  
  DOI
- Text Generation Beyond Discrete Token Sampling
  
  Yufan Zhuang, Liyuan Liu, Chandan Singh, Jingbo Shang, Jianfeng Gao
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  DOI Publication Publication
- 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
  
  DOI Publication Publication
- 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
  
  DOI Publication Publication
- 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
  
  DOI Publication
- Tree Prompting: Efficient Task Adaptation without Fine-Tuning
  
  Chandan Singh, Jianfeng Gao
  
  EMNLP | November 2023
  
  Publication
- Self-Verification Improves Few-Shot Clinical Information Extraction
  
  Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
  
  May 2023
  
  Publication
- Explaining Patterns in Data with Language Models via Interpretable Autoprompting
  
  Chandan Singh, Jyoti Aneja, Jianfeng Gao
  
  October 2022
  
  Publication Github 项目
- Emb-GAM: an Interpretable and Efficient Predictor using Pre-trained Language Models
  
  Chandan Singh, Jianfeng Gao
  
  September 2022
  
  Publication Github
- Agentic-imodels: Evolving agentic interpretability tools via autoresearch
  
  Chandan Singh, Yuting Tan, Weijia Xu, Zelalem Gero, Weiwei Yang, Michel Galley, Jianfeng Gao
  
  May 2026
  
  Publication
- Selecting Feature Interactions for Generalized Additive Models by Distilling Foundation Models
  
  Jingyun Jia, Chandan Singh, Rich Caruana, Benjamin J. Lengerich
  
  April 2026
  
  Publication
- Sanity Checks for Agentic Data Science
  
  Zachary T. Rewolinski, Austin Zane, Haoyang Huang, Chandan Singh, Chenglong Wang, Jianfeng Gao, Bin Yu
  
  April 2026
  
  Publication
- 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
  
  DOI Publication Publication
- 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
  
  DOI Publication Publication
- Self-Verification Improves Few-Shot Clinical Information Extraction
  
  Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
  
  May 2023
  
  Publication

- Test-Time Learning with an Evolving Library
  
  Weijia Xu, Alessandro Sordoni, Chandan Singh, Zelalem Gero, Michel Galley, Xingdi Yuan, Jianfeng Gao
  
  May 2026
  
  Publication
- Agentic-imodels: Evolving agentic interpretability tools via autoresearch
  
  Chandan Singh, Yuting Tan, Weijia Xu, Zelalem Gero, Weiwei Yang, Michel Galley, Jianfeng Gao
  
  May 2026
  
  Publication
- Selecting Feature Interactions for Generalized Additive Models by Distilling Foundation Models
  
  Jingyun Jia, Chandan Singh, Rich Caruana, Benjamin J. Lengerich
  
  April 2026
  
  Publication
- Sanity Checks for Agentic Data Science
  
  Zachary T. Rewolinski, Austin Zane, Haoyang Huang, Chandan Singh, Chenglong Wang, Jianfeng Gao, Bin Yu
  
  April 2026
  
  Publication
- Self-Verification Improves Few-Shot Clinical Information Extraction
  
  Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
  
  May 2023
  
  Publication
- Interpretable Next-token Prediction via the Generalized Induction Head
  
  Eunji Kim, Sriya Mantena, Weiwei Yang, Chandan Singh, Sungroh Yoon, Jianfeng Gao
  
  NeurIPS 2025 | October 2025
  
  Publication
- Bayesian Concept Bottleneck Models with LLM Priors
  
  Jean Feng, Avni Kothari, Luke Zier, Chandan Singh, Yan Shuo Tan
  
  NeurIPS 2025 | September 2025
  
  DOI
- Text Generation Beyond Discrete Token Sampling
  
  Yufan Zhuang, Liyuan Liu, Chandan Singh, Jingbo Shang, Jianfeng Gao
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  DOI Publication Publication
- 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
  
  DOI Publication Publication
- 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
  
  DOI Publication Publication
- 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
  
  DOI Publication
- Tree Prompting: Efficient Task Adaptation without Fine-Tuning
  
  Chandan Singh, Jianfeng Gao
  
  EMNLP | November 2023
  
  Publication
- Explaining Patterns in Data with Language Models via Interpretable Autoprompting
  
  Chandan Singh, Jyoti Aneja, Jianfeng Gao
  
  October 2022
  
  Publication Github 项目
- Emb-GAM: an Interpretable and Efficient Predictor using Pre-trained Language Models
  
  Chandan Singh, Jianfeng Gao
  
  September 2022
  
  Publication Github

Chandan Singh

论文与出版物

Test-Time Learning with an Evolving Library

Agentic-imodels: Evolving agentic interpretability tools via autoresearch

Selecting Feature Interactions for Generalized Additive Models by Distilling Foundation Models

Sanity Checks for Agentic Data Science

Interpretable Next-token Prediction via the Generalized Induction Head

Bayesian Concept Bottleneck Models with LLM Priors

Text Generation Beyond Discrete Token Sampling

Simplifying DINO via Coding Rate Regularization

Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries

Crafting Interpretable Embeddings by Asking LLMs Questions

Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs

Tree Prompting: Efficient Task Adaptation without Fine-Tuning

Self-Verification Improves Few-Shot Clinical Information Extraction

Explaining Patterns in Data with Language Models via Interpretable Autoprompting

Emb-GAM: an Interpretable and Efficient Predictor using Pre-trained Language Models

Test-Time Learning with an Evolving Library

Agentic-imodels: Evolving agentic interpretability tools via autoresearch

Selecting Feature Interactions for Generalized Additive Models by Distilling Foundation Models

Sanity Checks for Agentic Data Science

Interpretable Next-token Prediction via the Generalized Induction Head

Bayesian Concept Bottleneck Models with LLM Priors

Text Generation Beyond Discrete Token Sampling

Simplifying DINO via Coding Rate Regularization

Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries

Crafting Interpretable Embeddings by Asking LLMs Questions

Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs

Tree Prompting: Efficient Task Adaptation without Fine-Tuning

Self-Verification Improves Few-Shot Clinical Information Extraction

Explaining Patterns in Data with Language Models via Interpretable Autoprompting

Emb-GAM: an Interpretable and Efficient Predictor using Pre-trained Language Models

Agentic-imodels: Evolving agentic interpretability tools via autoresearch

Selecting Feature Interactions for Generalized Additive Models by Distilling Foundation Models

Sanity Checks for Agentic Data Science

Simplifying DINO via Coding Rate Regularization

Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries

Self-Verification Improves Few-Shot Clinical Information Extraction

Test-Time Learning with an Evolving Library

Agentic-imodels: Evolving agentic interpretability tools via autoresearch

Selecting Feature Interactions for Generalized Additive Models by Distilling Foundation Models

Sanity Checks for Agentic Data Science

Self-Verification Improves Few-Shot Clinical Information Extraction

Interpretable Next-token Prediction via the Generalized Induction Head

Bayesian Concept Bottleneck Models with LLM Priors

Text Generation Beyond Discrete Token Sampling

Simplifying DINO via Coding Rate Regularization

Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries

Crafting Interpretable Embeddings by Asking LLMs Questions

Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs

Tree Prompting: Efficient Task Adaptation without Fine-Tuning

Explaining Patterns in Data with Language Models via Interpretable Autoprompting

Emb-GAM: an Interpretable and Efficient Predictor using Pre-trained Language Models