Frontier Tuning Research and Applied Science

출판물

자료 보기:

- SibylSense: Adaptive Rubric Learning via Memory Tuning and Adversarial Probing
  
  Yifei Xu, Guilherme Potje, Shivam Shandilya, Tiancheng Yuan, Leonardo de Oliveira Nunes, Rakshanda Agarwal, Saeid Asgari, Adam Atkinson, Songwu Lu, Emre Kiciman, Ranveer Chandra, Tusher Chakraborty
  
  February 2026
  
  Preprint
- Sample-Efficient Online Learning in LM Agents via Hindsight Trajectory Rewriting
  
  Michael Y. Hu, Ben Van Durme, Jacob Andreas, Harsh Jhamtani
  
  October 2025
  
  October 2025
  
  Publication
- LM Agents for Coordinating Multi-User Information Gathering
  
  Harsh Jhamtani, Jacob Andreas, Ben Van Durme
  
  ACL | July 2025
  
  Publication
- Direct Reasoning Optimization: Constrained RL with Token-Level Dense Reward and Rubric-Gated Constraints for Open-ended Tasks
  
  Yifei Xu, Tusher Chakraborty, Srinagesh Sharma, Leonardo Nunes, Swati Sharma, Kate Drakos Demopulos, Emre Kiciman, Songwu Lu, Ranveer Chandra
  
  Arxiv | June 2025
  
  Preprint
- Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
  
  Katie Matton, Robert Osazuwa Ness, John Guttag, Emre Kiciman
  
  International Conference on Learning Representations | April 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
- RLTHF: Targeted Human Feedback for LLM Alignment
  
  Yifei Xu, Tusher Chakraborty, Emre Kiciman, Bibek Aryal, Eduardo Rodrigues, Srinagesh Sharma, Roberto Estevao, Maria Angels de Luis Balaguer, Jessica Wolk, Rafael Padilha, Leonardo Nunes, Shobana Balakrishna, Songwu Lu, Ranveer Chandra
  
  ICML’25 | February 2025
  
  PDF
- 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
- Enabling Adoption of Regenerative Agriculture through Soil Carbon Copilots
  
  Margaret Capetz, Swati Sharma, Rafael Padilha, Peder Olsen, Jessica Wolk, Emre Kiciman, Ranveer Chandra
  
  ArXiv | November 2024
  
  DOI Publication Publication
- Artificial Intelligence–Based Copilots to Generate Causal Evidence
  
  Maya Petersen, Ahmed Alaa, Emre Kiciman, Chris Holmes, Mark van der Laan
  
  NEJM AI | November 2024
  
  DOI
- 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
- Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass
  
  Tong Chen, Hao Fang, Patrick Xia, Xiaodong Liu, Ben Van Durme, Luke Zettlemoyer, Jianfeng Gao, Hao Cheng
  
  ICLR 2025 | November 2024
  
  DOI Publication Publication
- Multi-Field Adaptive Retrieval
  
  Millicent Li, Tongfei Chen, Ben Van Durme, Patrick Xia
  
  ICLR 2025 | October 2024
  
  Spotlight
  
  DOI Publication Publication
- Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
  
  Emre Kiciman, Robert Osazuwa Ness, Amit Sharma, Chenhao Tan
  
  Transactions on Machine Learning Research (TMLR) | August 2024
  
  Outstanding Certification Finalist
  
  Selected for presentation at ICLR 2025
  
  Publication Preprint 프로젝트
- 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
- Large Language Models as Co-Pilots for Causal Inference in Medical Studies
  
  Ahmed Alaa, Rachael V. Phillips, Emre Kiciman, Laura B. Balzer, M. V. D. Laan, Maya Petersen
  
  ArXiv | July 2024
  
  DOI Publication 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
- Defending Against Indirect Prompt Injection Attacks With Spotlighting
  
  Keegan Hines, Gary Lopez, Matthew Hall, Federico Zarfati, Yonatan Zunger, Emre Kiciman
  
  ArXiv | March 2024
  
  DOI Publication Publication
- Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models
  
  Jingwei Yi, Yueqi Xie, Bin Benjamin Zhu, Emre Kiciman, Guangzhong Sun, Xing Xie, Fangzhao Wu
  
  ArXiv | December 2023
  
  DOI Publication Publication
- GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models
  
  Bruno Silva, Leonardo Nunes, Roberto Estevão, Vijay Aski, Ranveer Chandra
  
  October 2023
  
  arXiv | October 2023
  
  Publication 프로젝트 프로젝트
- 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 동영상

- SibylSense: Adaptive Rubric Learning via Memory Tuning and Adversarial Probing
  
  Yifei Xu, Guilherme Potje, Shivam Shandilya, Tiancheng Yuan, Leonardo de Oliveira Nunes, Rakshanda Agarwal, Saeid Asgari, Adam Atkinson, Songwu Lu, Emre Kiciman, Ranveer Chandra, Tusher Chakraborty
  
  February 2026
  
  Preprint
- Sample-Efficient Online Learning in LM Agents via Hindsight Trajectory Rewriting
  
  Michael Y. Hu, Ben Van Durme, Jacob Andreas, Harsh Jhamtani
  
  October 2025
  
  October 2025
  
  Publication
- LM Agents for Coordinating Multi-User Information Gathering
  
  Harsh Jhamtani, Jacob Andreas, Ben Van Durme
  
  ACL | July 2025
  
  Publication
- Direct Reasoning Optimization: Constrained RL with Token-Level Dense Reward and Rubric-Gated Constraints for Open-ended Tasks
  
  Yifei Xu, Tusher Chakraborty, Srinagesh Sharma, Leonardo Nunes, Swati Sharma, Kate Drakos Demopulos, Emre Kiciman, Songwu Lu, Ranveer Chandra
  
  Arxiv | June 2025
  
  Preprint
- Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
  
  Katie Matton, Robert Osazuwa Ness, John Guttag, Emre Kiciman
  
  International Conference on Learning Representations | April 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
- RLTHF: Targeted Human Feedback for LLM Alignment
  
  Yifei Xu, Tusher Chakraborty, Emre Kiciman, Bibek Aryal, Eduardo Rodrigues, Srinagesh Sharma, Roberto Estevao, Maria Angels de Luis Balaguer, Jessica Wolk, Rafael Padilha, Leonardo Nunes, Shobana Balakrishna, Songwu Lu, Ranveer Chandra
  
  ICML’25 | February 2025
  
  PDF
- 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
- Enabling Adoption of Regenerative Agriculture through Soil Carbon Copilots
  
  Margaret Capetz, Swati Sharma, Rafael Padilha, Peder Olsen, Jessica Wolk, Emre Kiciman, Ranveer Chandra
  
  ArXiv | November 2024
  
  DOI Publication Publication
- Artificial Intelligence–Based Copilots to Generate Causal Evidence
  
  Maya Petersen, Ahmed Alaa, Emre Kiciman, Chris Holmes, Mark van der Laan
  
  NEJM AI | November 2024
  
  DOI
- 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
- Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass
  
  Tong Chen, Hao Fang, Patrick Xia, Xiaodong Liu, Ben Van Durme, Luke Zettlemoyer, Jianfeng Gao, Hao Cheng
  
  ICLR 2025 | November 2024
  
  DOI Publication Publication
- Multi-Field Adaptive Retrieval
  
  Millicent Li, Tongfei Chen, Ben Van Durme, Patrick Xia
  
  ICLR 2025 | October 2024
  
  Spotlight
  
  DOI Publication 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
- Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
  
  Emre Kiciman, Robert Osazuwa Ness, Amit Sharma, Chenhao Tan
  
  Transactions on Machine Learning Research (TMLR) | August 2024
  
  Outstanding Certification Finalist
  
  Selected for presentation at ICLR 2025
  
  Publication Preprint 프로젝트
- Large Language Models as Co-Pilots for Causal Inference in Medical Studies
  
  Ahmed Alaa, Rachael V. Phillips, Emre Kiciman, Laura B. Balzer, M. V. D. Laan, Maya Petersen
  
  ArXiv | July 2024
  
  DOI Publication 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
- Defending Against Indirect Prompt Injection Attacks With Spotlighting
  
  Keegan Hines, Gary Lopez, Matthew Hall, Federico Zarfati, Yonatan Zunger, Emre Kiciman
  
  ArXiv | March 2024
  
  DOI Publication Publication
- Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models
  
  Jingwei Yi, Yueqi Xie, Bin Benjamin Zhu, Emre Kiciman, Guangzhong Sun, Xing Xie, Fangzhao Wu
  
  ArXiv | December 2023
  
  DOI Publication Publication
- GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models
  
  Bruno Silva, Leonardo Nunes, Roberto Estevão, Vijay Aski, Ranveer Chandra
  
  October 2023
  
  arXiv | October 2023
  
  Publication 프로젝트 프로젝트
- 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 동영상
- 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 동영상
- Multi-Field Adaptive Retrieval
  
  Millicent Li, Tongfei Chen, Ben Van Durme, Patrick Xia
  
  ICLR 2025 | October 2024
  
  Spotlight
  
  DOI Publication Publication
- Artificial Intelligence–Based Copilots to Generate Causal Evidence
  
  Maya Petersen, Ahmed Alaa, Emre Kiciman, Chris Holmes, Mark van der Laan
  
  NEJM AI | November 2024
  
  DOI
- Large Language Models as Co-Pilots for Causal Inference in Medical Studies
  
  Ahmed Alaa, Rachael V. Phillips, Emre Kiciman, Laura B. Balzer, M. V. D. Laan, Maya Petersen
  
  ArXiv | July 2024
  
  DOI Publication Publication
- Defending Against Indirect Prompt Injection Attacks With Spotlighting
  
  Keegan Hines, Gary Lopez, Matthew Hall, Federico Zarfati, Yonatan Zunger, Emre Kiciman
  
  ArXiv | March 2024
  
  DOI Publication Publication

- SibylSense: Adaptive Rubric Learning via Memory Tuning and Adversarial Probing
  
  Yifei Xu, Guilherme Potje, Shivam Shandilya, Tiancheng Yuan, Leonardo de Oliveira Nunes, Rakshanda Agarwal, Saeid Asgari, Adam Atkinson, Songwu Lu, Emre Kiciman, Ranveer Chandra, Tusher Chakraborty
  
  February 2026
  
  Preprint
- Sample-Efficient Online Learning in LM Agents via Hindsight Trajectory Rewriting
  
  Michael Y. Hu, Ben Van Durme, Jacob Andreas, Harsh Jhamtani
  
  October 2025
  
  October 2025
  
  Publication
- GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models
  
  Bruno Silva, Leonardo Nunes, Roberto Estevão, Vijay Aski, Ranveer Chandra
  
  October 2023
  
  arXiv | October 2023
  
  Publication 프로젝트 프로젝트
- LM Agents for Coordinating Multi-User Information Gathering
  
  Harsh Jhamtani, Jacob Andreas, Ben Van Durme
  
  ACL | July 2025
  
  Publication
- Direct Reasoning Optimization: Constrained RL with Token-Level Dense Reward and Rubric-Gated Constraints for Open-ended Tasks
  
  Yifei Xu, Tusher Chakraborty, Srinagesh Sharma, Leonardo Nunes, Swati Sharma, Kate Drakos Demopulos, Emre Kiciman, Songwu Lu, Ranveer Chandra
  
  Arxiv | June 2025
  
  Preprint
- Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
  
  Katie Matton, Robert Osazuwa Ness, John Guttag, Emre Kiciman
  
  International Conference on Learning Representations | April 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
- RLTHF: Targeted Human Feedback for LLM Alignment
  
  Yifei Xu, Tusher Chakraborty, Emre Kiciman, Bibek Aryal, Eduardo Rodrigues, Srinagesh Sharma, Roberto Estevao, Maria Angels de Luis Balaguer, Jessica Wolk, Rafael Padilha, Leonardo Nunes, Shobana Balakrishna, Songwu Lu, Ranveer Chandra
  
  ICML’25 | February 2025
  
  PDF
- 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
- Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass
  
  Tong Chen, Hao Fang, Patrick Xia, Xiaodong Liu, Ben Van Durme, Luke Zettlemoyer, Jianfeng Gao, Hao Cheng
  
  ICLR 2025 | November 2024
  
  DOI Publication Publication
- Multi-Field Adaptive Retrieval
  
  Millicent Li, Tongfei Chen, Ben Van Durme, Patrick Xia
  
  ICLR 2025 | October 2024
  
  Spotlight
  
  DOI Publication 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 동영상
- Enabling Adoption of Regenerative Agriculture through Soil Carbon Copilots
  
  Margaret Capetz, Swati Sharma, Rafael Padilha, Peder Olsen, Jessica Wolk, Emre Kiciman, Ranveer Chandra
  
  ArXiv | November 2024
  
  DOI Publication Publication
- Artificial Intelligence–Based Copilots to Generate Causal Evidence
  
  Maya Petersen, Ahmed Alaa, Emre Kiciman, Chris Holmes, Mark van der Laan
  
  NEJM AI | November 2024
  
  DOI
- Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
  
  Emre Kiciman, Robert Osazuwa Ness, Amit Sharma, Chenhao Tan
  
  Transactions on Machine Learning Research (TMLR) | August 2024
  
  Outstanding Certification Finalist
  
  Selected for presentation at ICLR 2025
  
  Publication Preprint 프로젝트
- Large Language Models as Co-Pilots for Causal Inference in Medical Studies
  
  Ahmed Alaa, Rachael V. Phillips, Emre Kiciman, Laura B. Balzer, M. V. D. Laan, Maya Petersen
  
  ArXiv | July 2024
  
  DOI Publication Publication
- Defending Against Indirect Prompt Injection Attacks With Spotlighting
  
  Keegan Hines, Gary Lopez, Matthew Hall, Federico Zarfati, Yonatan Zunger, Emre Kiciman
  
  ArXiv | March 2024
  
  DOI Publication Publication
- Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models
  
  Jingwei Yi, Yueqi Xie, Bin Benjamin Zhu, Emre Kiciman, Guangzhong Sun, Xing Xie, Fangzhao Wu
  
  ArXiv | December 2023
  
  DOI Publication 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

Frontier Tuning Research and Applied Science

출판물

SibylSense: Adaptive Rubric Learning via Memory Tuning and Adversarial Probing

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

LM Agents for Coordinating Multi-User Information Gathering

Direct Reasoning Optimization: Constrained RL with Token-Level Dense Reward and Rubric-Gated Constraints for Open-ended Tasks

Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations

Steering Large Language Models between Code Execution and Textual Reasoning

RLTHF: Targeted Human Feedback for LLM Alignment

Language-to-Code Translation with a Single Labeled Example

Enabling Adoption of Regenerative Agriculture through Soil Carbon Copilots

Artificial Intelligence–Based Copilots to Generate Causal Evidence

Ontologically Faithful Generation of Non-Player Character Dialogues

Learning to Retrieve Iteratively for In-Context Learning

Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass

Multi-Field Adaptive Retrieval

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Natural Language Decomposition and Interpretation of Complex Utterances

Large Language Models as Co-Pilots for Causal Inference in Medical Studies

Interpreting User Requests in the Context of Natural Language Standing Instructions

Defending Against Indirect Prompt Injection Attacks With Spotlighting

Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models

GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models

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

SibylSense: Adaptive Rubric Learning via Memory Tuning and Adversarial Probing

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

LM Agents for Coordinating Multi-User Information Gathering

Direct Reasoning Optimization: Constrained RL with Token-Level Dense Reward and Rubric-Gated Constraints for Open-ended Tasks

Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations

Steering Large Language Models between Code Execution and Textual Reasoning

RLTHF: Targeted Human Feedback for LLM Alignment

Language-to-Code Translation with a Single Labeled Example

Enabling Adoption of Regenerative Agriculture through Soil Carbon Copilots

Artificial Intelligence–Based Copilots to Generate Causal Evidence

Learning to Retrieve Iteratively for In-Context Learning

Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass

Multi-Field Adaptive Retrieval

Natural Language Decomposition and Interpretation of Complex Utterances

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Large Language Models as Co-Pilots for Causal Inference in Medical Studies

Interpreting User Requests in the Context of Natural Language Standing Instructions

Defending Against Indirect Prompt Injection Attacks With Spotlighting

Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models

GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models

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

Multi-Field Adaptive Retrieval

Artificial Intelligence–Based Copilots to Generate Causal Evidence

Large Language Models as Co-Pilots for Causal Inference in Medical Studies

Defending Against Indirect Prompt Injection Attacks With Spotlighting

SibylSense: Adaptive Rubric Learning via Memory Tuning and Adversarial Probing

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

GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models

LM Agents for Coordinating Multi-User Information Gathering

Direct Reasoning Optimization: Constrained RL with Token-Level Dense Reward and Rubric-Gated Constraints for Open-ended Tasks

Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations

Steering Large Language Models between Code Execution and Textual Reasoning

RLTHF: Targeted Human Feedback for LLM Alignment

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

Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass

Multi-Field Adaptive Retrieval

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

Enabling Adoption of Regenerative Agriculture through Soil Carbon Copilots

Artificial Intelligence–Based Copilots to Generate Causal Evidence

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Large Language Models as Co-Pilots for Causal Inference in Medical Studies

Defending Against Indirect Prompt Injection Attacks With Spotlighting

Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models