Harsh Jhamtani

Principal Researcher

出版物

表示方法:

- Sample-Efficient Online Learning in LM Agents via Hindsight Trajectory Rewriting
  
  Michael Y. Hu, Ben Van Durme, Jacob Andreas, Harsh Jhamtani
  
  October 2025
  
  Publication
- LM Agents for Coordinating Multi-User Information Gathering
  
  Harsh Jhamtani, Jacob Andreas, Ben Van Durme
  
  ACL | July 2025
  
  Publication
- Steering Large Language Models between Code Execution and Textual Reasoning
  
  Yongchao Chen, Harsh Jhamtani, Srinagesh Sharma, Chuchu Fan, Chi Wang
  
  ICLR | April 2025
  
  Publication
- Language-to-Code Translation with a Single Labeled Example
  
  Kaj Bostrom, Harsh Jhamtani, Hao Fang, Sam Thomson, Richard Shin, Patrick Xia, Ben Van Durme, Jason Eisner, Jacob Andreas
  
  EMNLP | November 2024
  
  Publication
- Ontologically Faithful Generation of Non-Player Character Dialogues
  
  Nathaniel Weir, Ryan Thomas, Randolph D'Amore, Kellie Hill, Ben Van Durme, Harsh Jhamtani
  
  EMNLP | November 2024
  
  Publication
- Learning to Retrieve Iteratively for In-Context Learning
  
  Yunmo Chen, Tongfei Chen, Harsh Jhamtani, Patrick Xia, Richard Shin, Jason Eisner, Ben Van Durme
  
  EMNLP | November 2024
  
  Outstanding Paper Award
  
  Publication
- Natural Language Decomposition and Interpretation of Complex Utterances
  
  Harsh Jhamtani, Hao Fang, Patrick Xia, Eran Levy, Jacob Andreas, Ben Van Durme
  
  IJCAI 2024 | August 2024
  
  DOI Publication
- Interpreting User Requests in the Context of Natural Language Standing Instructions
  
  Nikita Moghe, Patrick Xia, Jacob Andreas, Jason Eisner, Ben Van Durme, Harsh Jhamtani
  
  NAACL | June 2024
  
  Publication
- SCREWS: A Modular Framework for Reasoning with Revisions
  
  Kumar Shridhar, Harsh Jhamtani, Hao Fang, Ben Van Durme, Jason Eisner, Patrick Xia
  
  arXiv: Computation and Language | September 2023
  
  Preprint
- The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding
  
  Hao Fang, Anusha Balakrishnan, Harsh Jhamtani, John Bufe, Jean Crawford, Jayant Krishnamurthy, Adam Pauls, Jason Eisner, Jacob Andreas, Dan Klein
  
  Findings of ACL 2023 | July 2023
  
  Publication 動画

- Sample-Efficient Online Learning in LM Agents via Hindsight Trajectory Rewriting
  
  Michael Y. Hu, Ben Van Durme, Jacob Andreas, Harsh Jhamtani
  
  October 2025
  
  Publication
- LM Agents for Coordinating Multi-User Information Gathering
  
  Harsh Jhamtani, Jacob Andreas, Ben Van Durme
  
  ACL | July 2025
  
  Publication
- Steering Large Language Models between Code Execution and Textual Reasoning
  
  Yongchao Chen, Harsh Jhamtani, Srinagesh Sharma, Chuchu Fan, Chi Wang
  
  ICLR | April 2025
  
  Publication
- Language-to-Code Translation with a Single Labeled Example
  
  Kaj Bostrom, Harsh Jhamtani, Hao Fang, Sam Thomson, Richard Shin, Patrick Xia, Ben Van Durme, Jason Eisner, Jacob Andreas
  
  EMNLP | November 2024
  
  Publication
- Learning to Retrieve Iteratively for In-Context Learning
  
  Yunmo Chen, Tongfei Chen, Harsh Jhamtani, Patrick Xia, Richard Shin, Jason Eisner, Ben Van Durme
  
  EMNLP | November 2024
  
  Outstanding Paper Award
  
  Publication
- Natural Language Decomposition and Interpretation of Complex Utterances
  
  Harsh Jhamtani, Hao Fang, Patrick Xia, Eran Levy, Jacob Andreas, Ben Van Durme
  
  IJCAI 2024 | August 2024
  
  DOI Publication
- Interpreting User Requests in the Context of Natural Language Standing Instructions
  
  Nikita Moghe, Patrick Xia, Jacob Andreas, Jason Eisner, Ben Van Durme, Harsh Jhamtani
  
  NAACL | June 2024
  
  Publication
- SCREWS: A Modular Framework for Reasoning with Revisions
  
  Kumar Shridhar, Harsh Jhamtani, Hao Fang, Ben Van Durme, Jason Eisner, Patrick Xia
  
  arXiv: Computation and Language | September 2023
  
  Preprint
- The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding
  
  Hao Fang, Anusha Balakrishnan, Harsh Jhamtani, John Bufe, Jean Crawford, Jayant Krishnamurthy, Adam Pauls, Jason Eisner, Jacob Andreas, Dan Klein
  
  Findings of ACL 2023 | July 2023
  
  Publication 動画
- LM Agents for Coordinating Multi-User Information Gathering
  
  Harsh Jhamtani, Jacob Andreas, Ben Van Durme
  
  ACL | July 2025
  
  Publication
- Language-to-Code Translation with a Single Labeled Example
  
  Kaj Bostrom, Harsh Jhamtani, Hao Fang, Sam Thomson, Richard Shin, Patrick Xia, Ben Van Durme, Jason Eisner, Jacob Andreas
  
  EMNLP | November 2024
  
  Publication
- Ontologically Faithful Generation of Non-Player Character Dialogues
  
  Nathaniel Weir, Ryan Thomas, Randolph D'Amore, Kellie Hill, Ben Van Durme, Harsh Jhamtani
  
  EMNLP | November 2024
  
  Publication
- Learning to Retrieve Iteratively for In-Context Learning
  
  Yunmo Chen, Tongfei Chen, Harsh Jhamtani, Patrick Xia, Richard Shin, Jason Eisner, Ben Van Durme
  
  EMNLP | November 2024
  
  Outstanding Paper Award
  
  Publication
- Natural Language Decomposition and Interpretation of Complex Utterances
  
  Harsh Jhamtani, Hao Fang, Patrick Xia, Eran Levy, Jacob Andreas, Ben Van Durme
  
  IJCAI 2024 | August 2024
  
  DOI Publication
- SCREWS: A Modular Framework for Reasoning with Revisions
  
  Kumar Shridhar, Harsh Jhamtani, Hao Fang, Ben Van Durme, Jason Eisner, Patrick Xia
  
  arXiv: Computation and Language | September 2023
  
  Preprint
- The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding
  
  Hao Fang, Anusha Balakrishnan, Harsh Jhamtani, John Bufe, Jean Crawford, Jayant Krishnamurthy, Adam Pauls, Jason Eisner, Jacob Andreas, Dan Klein
  
  Findings of ACL 2023 | July 2023
  
  Publication 動画

- Sample-Efficient Online Learning in LM Agents via Hindsight Trajectory Rewriting
  
  Michael Y. Hu, Ben Van Durme, Jacob Andreas, Harsh Jhamtani
  
  October 2025
  
  Publication
- LM Agents for Coordinating Multi-User Information Gathering
  
  Harsh Jhamtani, Jacob Andreas, Ben Van Durme
  
  ACL | July 2025
  
  Publication
- Steering Large Language Models between Code Execution and Textual Reasoning
  
  Yongchao Chen, Harsh Jhamtani, Srinagesh Sharma, Chuchu Fan, Chi Wang
  
  ICLR | April 2025
  
  Publication
- Language-to-Code Translation with a Single Labeled Example
  
  Kaj Bostrom, Harsh Jhamtani, Hao Fang, Sam Thomson, Richard Shin, Patrick Xia, Ben Van Durme, Jason Eisner, Jacob Andreas
  
  EMNLP | November 2024
  
  Publication
- Ontologically Faithful Generation of Non-Player Character Dialogues
  
  Nathaniel Weir, Ryan Thomas, Randolph D'Amore, Kellie Hill, Ben Van Durme, Harsh Jhamtani
  
  EMNLP | November 2024
  
  Publication
- Learning to Retrieve Iteratively for In-Context Learning
  
  Yunmo Chen, Tongfei Chen, Harsh Jhamtani, Patrick Xia, Richard Shin, Jason Eisner, Ben Van Durme
  
  EMNLP | November 2024
  
  Outstanding Paper Award
  
  Publication
- Natural Language Decomposition and Interpretation of Complex Utterances
  
  Harsh Jhamtani, Hao Fang, Patrick Xia, Eran Levy, Jacob Andreas, Ben Van Durme
  
  IJCAI 2024 | August 2024
  
  DOI Publication
- Interpreting User Requests in the Context of Natural Language Standing Instructions
  
  Nikita Moghe, Patrick Xia, Jacob Andreas, Jason Eisner, Ben Van Durme, Harsh Jhamtani
  
  NAACL | June 2024
  
  Publication
- The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding
  
  Hao Fang, Anusha Balakrishnan, Harsh Jhamtani, John Bufe, Jean Crawford, Jayant Krishnamurthy, Adam Pauls, Jason Eisner, Jacob Andreas, Dan Klein
  
  Findings of ACL 2023 | July 2023
  
  Publication 動画
- SCREWS: A Modular Framework for Reasoning with Revisions
  
  Kumar Shridhar, Harsh Jhamtani, Hao Fang, Ben Van Durme, Jason Eisner, Patrick Xia
  
  arXiv: Computation and Language | September 2023
  
  Preprint

Harsh Jhamtani

出版物

Sample-Efficient Online Learning in LM Agents via Hindsight Trajectory Rewriting

LM Agents for Coordinating Multi-User Information Gathering

Steering Large Language Models between Code Execution and Textual Reasoning

Language-to-Code Translation with a Single Labeled Example

Ontologically Faithful Generation of Non-Player Character Dialogues

Learning to Retrieve Iteratively for In-Context Learning

Natural Language Decomposition and Interpretation of Complex Utterances

Interpreting User Requests in the Context of Natural Language Standing Instructions

SCREWS: A Modular Framework for Reasoning with Revisions

The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding

Sample-Efficient Online Learning in LM Agents via Hindsight Trajectory Rewriting

LM Agents for Coordinating Multi-User Information Gathering

Steering Large Language Models between Code Execution and Textual Reasoning

Language-to-Code Translation with a Single Labeled Example

Learning to Retrieve Iteratively for In-Context Learning

Natural Language Decomposition and Interpretation of Complex Utterances

Interpreting User Requests in the Context of Natural Language Standing Instructions

SCREWS: A Modular Framework for Reasoning with Revisions

The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding

LM Agents for Coordinating Multi-User Information Gathering

Language-to-Code Translation with a Single Labeled Example

Ontologically Faithful Generation of Non-Player Character Dialogues

Learning to Retrieve Iteratively for In-Context Learning

Natural Language Decomposition and Interpretation of Complex Utterances

SCREWS: A Modular Framework for Reasoning with Revisions

The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding

Sample-Efficient Online Learning in LM Agents via Hindsight Trajectory Rewriting

LM Agents for Coordinating Multi-User Information Gathering

Steering Large Language Models between Code Execution and Textual Reasoning

Language-to-Code Translation with a Single Labeled Example

Ontologically Faithful Generation of Non-Player Character Dialogues

Learning to Retrieve Iteratively for In-Context Learning

Natural Language Decomposition and Interpretation of Complex Utterances

Interpreting User Requests in the Context of Natural Language Standing Instructions

The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding

SCREWS: A Modular Framework for Reasoning with Revisions