Publications

2025

COLD-Steer: Steering Large Language Models via In-Context One-step Learning Dynamics

Kartik Sharma, and Rakshit S Trivedi

Under Review, Dec 2025

@article{sharma2025coldsteer,
  title = {COLD-Steer: Steering Large Language Models via In-Context One-step Learning Dynamics},
  author = {Sharma, Kartik and Trivedi, Rakshit S},
  month = dec,
  year = {2025},
  journal = {Under Review}
}

Building AI for the Democratic Matrix: A Technical Research Agenda for Normative Competence and Normative Institutions

Gillian K Hadfield, Rakshit S Trivedi, and Dylan Hadfield-Menell

In Knight Symposium on AI and Democratic Freedoms (To Appear), Dec 2025

@inproceedings{hadfield2025democratic,
  title = {Building AI for the Democratic Matrix: A Technical Research Agenda for Normative Competence and Normative Institutions},
  author = {Hadfield, Gillian K and Trivedi, Rakshit S and Hadfield-Menell, Dylan},
  month = dec,
  year = {2025},
  booktitle = {Knight Symposium on AI and Democratic Freedoms (To Appear)}
}

Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI Coordination (Spotlight Paper)

Rakshit S Trivedi, Kartik Sharma, and David C Parkes

In Neural Information Processing Systems, Dec 2025

BibTex Paper Talk Webpage

@inproceedings{trivedi2025innerspeech,
  title = {Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI Coordination (Spotlight Paper)},
  author = {Trivedi, Rakshit S and Sharma, Kartik and Parkes, David C},
  month = dec,
  year = {2025},
  booktitle = {Neural Information Processing Systems}
}

Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia

Chandler Smith, Marwa Abdulhai, Manfred Diaz, Marko Tesic, Rakshit S Trivedi, Alexander Sasha Vezhnevets, Lewis Hammond, Jesse Clifton, Minsuk Chang, Edgar A Duéñez-Guzmán, John P Agapiou, Jayd Matyas, Danny Karmon, Dylan Hadfield-Menell, Natasha Jaques, Tim Baarslag, Jose Hernandez-Orallo, and Joel Z Leibo

In Neural Information Processing Systems Datasets and Benchmarks Track, Dec 2025

@inproceedings{smith2025concordia,
  title = {Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia},
  author = {Smith, Chandler and Abdulhai, Marwa and Diaz, Manfred and Tesic, Marko and Trivedi, Rakshit S and Vezhnevets, Alexander Sasha and Hammond, Lewis and Clifton, Jesse and Chang, Minsuk and Duéñez-Guzmán, Edgar A and Agapiou, John P and Matyas, Jayd and Karmon, Danny and Hadfield-Menell, Dylan and Jaques, Natasha and Baarslag, Tim and Hernandez-Orallo, Jose and Leibo, Joel Z},
  month = dec,
  year = {2025},
  booktitle = {Neural Information Processing Systems Datasets and Benchmarks Track}
}

The AI Agent Index

Stephen Casper, Luke Bailey, Rosco Hunter, Carson Ezell, Emma Cabalé, Michael Gerovitch, Stewart Slocum, Kevin Wei, Nikola Jurkovic, Ariba Khan, Phillip J.K. Christoffersen, A. Pinar Ozisik, Rakshit S Trivedi, Dylan Hadfield-Menell, and Noam Kolt

arXiv preprint, Oct 2025

@article{casper2025aiagentindex,
  title = {The AI Agent Index},
  author = {Casper, Stephen and Bailey, Luke and Hunter, Rosco and Ezell, Carson and Cabalé, Emma and Gerovitch, Michael and Slocum, Stewart and Wei, Kevin and Jurkovic, Nikola and Khan, Ariba and Christoffersen, Phillip J.K. and Ozisik, A. Pinar and Trivedi, Rakshit S and Hadfield-Menell, Dylan and Kolt, Noam},
  month = oct,
  year = {2025},
  journal = {arXiv preprint}
}

Beyond the High Score: Prosocial Ability Profiles of Multi-Agent Populations

Marko Tesic, Yue Zhao, Joel Z Leibo, Rakshit S Trivedi, and Jose Hernandez-Orallo

arXiv preprint, Sep 2025

@article{tesic2025prosocial,
  title = {Beyond the High Score: Prosocial Ability Profiles of Multi-Agent Populations},
  author = {Tesic, Marko and Zhao, Yue and Leibo, Joel Z and Trivedi, Rakshit S and Hernandez-Orallo, Jose},
  month = sep,
  year = {2025},
  journal = {arXiv preprint}
}

Efficient Knowledge Probing of Large Language Models by Adapting Pre-trained Embeddings

Kartik Sharma, Yiqiao Jin, Rakshit S Trivedi, and Srijan Kumar

arXiv preprint, Aug 2025

@article{sharma2025peek,
  title = {Efficient Knowledge Probing of Large Language Models by Adapting Pre-trained Embeddings},
  author = {Sharma, Kartik and Jin, Yiqiao and Trivedi, Rakshit S and Kumar, Srijan},
  month = aug,
  year = {2025},
  journal = {arXiv preprint}
}

2024

The Concordia Contest: Advancing the Cooperative Intelligence of Language Agents

Chandler Smith, Rakshit S Trivedi, Jesse Clifton, Lewis Hammond, Akbir Khan, Marwa Abdulhai, Alexander Sasha Vezhnevets, John P. Agapiou, Edgar A. Duéñez-Guzmán, Jayd Matyas, Danny Karmon, Dylan Hadfield-Menell, Natasha Jaques, Tim Baarslag, and Joel Z Leibo

In Neural Information Processing Systems, Dec 2024

@inproceedings{concordia24,
  title = {The Concordia Contest: Advancing the Cooperative Intelligence of Language Agents},
  author = {Smith, Chandler and Trivedi, Rakshit S and Clifton, Jesse and Hammond, Lewis and Khan, Akbir and Abdulhai, Marwa and Vezhnevets, Alexander Sasha and Agapiou, John P. and Duéñez-Guzmán, Edgar A. and Matyas, Jayd and Karmon, Danny and Hadfield-Menell, Dylan and Jaques, Natasha and Baarslag, Tim and Leibo, Joel Z},
  month = dec,
  year = {2024},
  booktitle = {Neural Information Processing Systems}
}

Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence

Rakshit S Trivedi, Akbir Khan, Jesse Clifton, Lewis Hammond, Edgar A. Duéñez-Guzmán, Dipam Chakraborty, John P Agapiou, Jayd Matyas, Sasha Vezhnevets, Barna Pásztor, Yunke Ao, Omar G. Younis, Jiawei Huang, Benjamin Swain, Haoyuan Qin, Mian Deng, Ziwei Deng, Utku Erdoğanaras, Yue Zhao, Marko Tesic, Natasha Jaques, Jakob Nicolaus Foerster, Vincent Conitzer, Jose Hernandez-Orallo, Dylan Hadfield-Menell, and Joel Z Leibo

In Neural Information Processing Systems Datasets and Benchmarks Track, Dec 2024

@inproceedings{trivedi2024melting,
  title = {Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence},
  author = {Trivedi, Rakshit S and Khan, Akbir and Clifton, Jesse and Hammond, Lewis and Du{\'e}{\~n}ez-Guzm{\'a}n, Edgar A. and Chakraborty, Dipam and Agapiou, John P and Matyas, Jayd and Vezhnevets, Sasha and P{\'a}sztor, Barna and Ao, Yunke and Younis, Omar G. and Huang, Jiawei and Swain, Benjamin and Qin, Haoyuan and Deng, Mian and Deng, Ziwei and Erdo{\u{g}}anaras, Utku and Zhao, Yue and Tesic, Marko and Jaques, Natasha and Foerster, Jakob Nicolaus and Conitzer, Vincent and Hernandez-Orallo, Jose and Hadfield-Menell, Dylan and Leibo, Joel Z},
  booktitle = {Neural Information Processing Systems Datasets and Benchmarks Track},
  month = dec,
  year = {2024}
}

Altared Environments: The Role of Normative Infrastructure in AI Alignment

Rakshit S Trivedi, Nikhil Chandak, Carter Blair, Atrisha Sarkar, Tehilla Weltman, Dylan Hadfield-Menell, and Gillian K Hadfield

In Agentic Markets Workshop at ICML 2024, Jul 2024

@inproceedings{trivedi2024altared,
  title = {Altared Environments: The Role of Normative Infrastructure in {AI} Alignment},
  author = {Trivedi, Rakshit S and Chandak, Nikhil and Blair, Carter and Sarkar, Atrisha and Weltman, Tehilla and Hadfield-Menell, Dylan and Hadfield, Gillian K},
  booktitle = {Agentic Markets Workshop at ICML 2024},
  month = jul,
  year = {2024}
}

Plug-And-Play Controllable Graph Generation With Diffusion Models

Kartik Sharma, Srijan Kumar, and Rakshit S Trivedi

In International Conference on Machine Learning, Jul 2024

BibTex Paper Webpage

@inproceedings{sharmadiff2023,
  title = {Plug-And-Play Controllable Graph Generation With Diffusion Models},
  author = {Sharma, Kartik and Kumar, Srijan and Trivedi, Rakshit S},
  month = jul,
  year = {2024},
  booktitle = {International Conference on Machine Learning}
}

Normative Modules: A Generative Agent Architecture for Learning Norms that Supports Multi-Agent Cooperation

Atrisha Sarkar, Andrei Ioan Muresanu, Carter Blair, Rakshit S Trivedi, and Gillian K Hadfield

EC 2024 Workshop on Foundation Models and Game Theory, Jun 2024

@article{2024normative,
  title = {Normative Modules: A Generative Agent Architecture for Learning Norms that Supports Multi-Agent Cooperation},
  author = {Sarkar, Atrisha and Muresanu, Andrei Ioan and Blair, Carter and Trivedi, Rakshit S and Hadfield, Gillian K},
  journal = {EC 2024 Workshop on Foundation Models and Game Theory},
  month = jun,
  year = {2024}
}

2023

The Melting Pot Contest

Rakshit S Trivedi, Akbir Khan, Jesse Clifton, Lewis Hammond, John Agapiou, Edgar Dueñez-Guzman, Jayd Matyas, Dylan Hadfield-Menell, and Joel Z Leibo

In Neural Information Processing Systems, Dec 2023

BibTex Talk Webpage

@inproceedings{Trimelt2023,
  title = {The Melting Pot Contest},
  author = {Trivedi, Rakshit S and Khan, Akbir and Clifton, Jesse and Hammond, Lewis and Agapiou, John and Dueñez-Guzman, Edgar and Matyas, Jayd and Hadfield-Menell, Dylan and Leibo, Joel Z},
  month = dec,
  year = {2023},
  booktitle = {Neural Information Processing Systems}
}

Temporal Dynamics Aware Adversarial Attacks On Discrete-Time Graph Models

Kartik Sharma, Rakshit S Trivedi, Rohit Sridhar, and Srijan Kumar

ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Feb 2023

@article{sharma2023,
  title = {Temporal Dynamics Aware Adversarial Attacks On Discrete-Time Graph Models},
  author = {Sharma, Kartik and Trivedi, Rakshit S and Sridhar, Rohit and Kumar, Srijan},
  month = feb,
  year = {2023},
  journal = {ACM SIGKDD Conference on Knowledge Discovery and Data Mining}
}

2022

Adaptive Incentive Design with Multi-Agent Meta-GradientReinforcement Learning

Jiachen Yang, Ethan Wang, Rakshit S Trivedi, Tuo Zhao, and Hongyuan Zha

In International Conference on Autonomous Agents and Multiagent Systems, May 2022

@inproceedings{YanWanTriZhaZha21,
  title = {Adaptive Incentive Design with Multi-Agent Meta-GradientReinforcement Learning},
  author = {Yang, Jiachen and Wang, Ethan and Trivedi, Rakshit S and Zhao, Tuo and Zha, Hongyuan},
  booktitle = {International Conference on Autonomous Agents and Multiagent Systems},
  month = may,
  year = {2022}
}

CrowdPlay: CrowdSourcing Human Demonstrations for Offline Learning

Matthias Gertsgrasser, Rakshit S Trivedi, and David C Parkes

In International Conference on Learning Representations, Apr 2022

@inproceedings{GerTriPar21,
  title = {CrowdPlay: CrowdSourcing Human Demonstrations for Offline Learning},
  author = {Gertsgrasser, Matthias and Trivedi, Rakshit S and Parkes, David C},
  booktitle = {International Conference on Learning Representations},
  month = apr,
  year = {2022}
}

2020

Learning Strategic Network Emergence Mechanisms

Rakshit S Trivedi, and Hongyuan Zha

In Neural Information Processing Systems, Dec 2020

BibTex Paper Talk

@inproceedings{TriZha20,
  title = {Learning Strategic Network Emergence Mechanisms},
  author = {Trivedi, Rakshit S and Zha, Hongyuan},
  booktitle = {Neural Information Processing Systems},
  month = dec,
  year = {2020}
}

GraphOpt: Learning Optimization Models of Graph Formation

Rakshit S Trivedi, Jiachen Yang, and Hongyuan Zha

In International Conference on Machine Learning, Jul 2020

BibTex Paper Talk

@inproceedings{TriYanZha20,
  title = {GraphOpt: Learning Optimization Models of Graph Formation},
  author = {Trivedi, Rakshit S and Yang, Jiachen and Zha, Hongyuan},
  booktitle = {International Conference on Machine Learning},
  month = jul,
  year = {2020}
}

2019

DyRep: Learning Representations over Dynamic Graphs

Rakshit S Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal, and Hongyuan Zha

In International Conference on Learning Representations, Apr 2019

@inproceedings{TriFarBisZha19,
  title = {DyRep: Learning Representations over Dynamic Graphs},
  author = {Trivedi, Rakshit S and Farajtabar, Mehrdad and Biswal, Prasenjeet and Zha, Hongyuan},
  booktitle = {International Conference on Learning Representations},
  month = apr,
  year = {2019}
}

2018

LinkNBed: Multi-Graph Representation Learning with Entity Linkage

Rakshit S Trivedi, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, Hongyuan Zha, and Jun Ma

In Association for Computational Linguistics, Jul 2018

@inproceedings{TriSisLunFalZhaMa18,
  title = {LinkNBed: Multi-Graph Representation Learning with Entity Linkage},
  author = {Trivedi, Rakshit S and Sisman, Bunyamin and Luna Dong, Xin and Faloutsos, Christos and Zha, Hongyuan and Ma, Jun},
  booktitle = {Association for Computational Linguistics},
  month = jul,
  year = {2018}
}

Deep Mean Field Games for Learning Optimal Behavior Policy of Large Populations

Jiachen Yang, Xiaojing Ye, Rakshit S Trivedi, Huan Xu, and Hongyuan Zha

In International Conference on Learning Representations, Apr 2018

@inproceedings{YanYeTriXuZha18,
  title = {Deep Mean Field Games for Learning Optimal Behavior Policy of Large Populations},
  author = {Yang, Jiachen and Ye, Xiaojing and Trivedi, Rakshit S and Xu, Huan and Zha, Hongyuan},
  booktitle = {International Conference on Learning Representations},
  month = apr,
  year = {2018}
}

2017

Know-Evolve: Deep Temporal Reasoningfor Dynamic Knowledge Graphs

Rakshit S Trivedi, Hanjun Dai, Yichen Wang, and Le Song

In International Conference on Machine Learning, Jul 2017

BibTex Paper Talk

@inproceedings{TriDaiWanSon17,
  title = {Know-Evolve: Deep Temporal Reasoningfor Dynamic Knowledge Graphs},
  author = {Trivedi, Rakshit S and Dai, Hanjun and Wang, Yichen and Song, Le},
  booktitle = {International Conference on Machine Learning},
  month = jul,
  year = {2017}
}

Fake News Mitigation via Point Process Based Intervention

Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Rakshit S Trivedi, Elias Khalil, Shuang Li, Huan Xu, Le Song, and Hongyuan Zha

In International Conference on Machine Learning, Jul 2017

BibTex Paper Talk

@inproceedings{FarYanYeTriKhaLiXuSonZha17,
  title = {Fake News Mitigation via Point Process Based Intervention},
  author = {Farajtabar, Mehrdad and Yang, Jiachen and Ye, Xiaojing and Trivedi, Rakshit S and Khalil, Elias and Li, Shuang and Xu, Huan and Song, Le and Zha, Hongyuan},
  booktitle = {International Conference on Machine Learning},
  month = jul,
  year = {2017}
}

2016

Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions

Yichen Wang, Nan Du, Rakshit S Trivedi, and Hongyuan Zha

In Neural Information Processing Systems, Dec 2016

@inproceedings{WanDuTriZha16,
  title = {Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions},
  author = {Wang, Yichen and Du, Nan and Trivedi, Rakshit S and Zha, Hongyuan},
  booktitle = {Neural Information Processing Systems},
  month = dec,
  year = {2016}
}

Recurrent Marked Temporal Point Process

Nan Du, Hanjun Dai, Rakshit S Trivedi, Utkarsh Upadhyay, Manuel Gomez-Rodriguez, and Le Song

In ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Aug 2016

@inproceedings{DuDaiTriUpaGomSon16,
  title = {Recurrent Marked Temporal Point Process},
  author = {Du, Nan and Dai, Hanjun and Trivedi, Rakshit S and Upadhyay, Utkarsh and Gomez-Rodriguez, Manuel and Song, Le},
  booktitle = {ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
  month = aug,
  year = {2016}
}

Recurrent Coevolutionary Feature Embedding Processes for Recommendation.

Hanjun Dai, Yichen Wang, Rakshit S Trivedi, and Le Song

RecSys DLRS workshop, Sep 2016

@article{DaiWanTriSon16,
  author = {Dai, Hanjun and Wang, Yichen and Trivedi, Rakshit S and Song, Le},
  title = {Recurrent Coevolutionary Feature Embedding Processes for Recommendation.},
  journal = {RecSys DLRS workshop},
  month = sep,
  year = {2016}
}

2013

Discourse Connectors for Latent Subjectivity in Sentiment Analysis

Rakshit S Trivedi, and Jacob Eisenstein

In North American Chapter of the Association for Computational Linguistics, Dec 2013

@inproceedings{TriEis13,
  title = {Discourse Connectors for Latent Subjectivity in Sentiment Analysis},
  author = {Trivedi, Rakshit S and Eisenstein, Jacob},
  month = dec,
  year = {2013},
  booktitle = {North American Chapter of the Association for Computational Linguistics},
}