Rakshit S. Trivedi

According to our database, Rakshit S. Trivedi authored at least 29 papers between 2012 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

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

Kartik Sharma, Rakshit S. Trivedi

CoRR, March, 2026

2025

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, José Hernández-Orallo, Joel Z. Leibo

CoRR, December, 2025

Beyond the high score: Prosocial ability profiles of multi-agent populations.

Marko Tesic, Yue Zhao, Joel Z. Leibo, Rakshit S. Trivedi, José Hernández-Orallo

CoRR, September, 2025

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

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

CoRR, August, 2025

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, Noam Kolt

CoRR, February, 2025

Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI coordination.

Rakshit S. Trivedi, Kartik Sharma, David C. Parkes

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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, Beining Zhang, Jim Dilkes, Akash Kundu, Hieu Minh Nguyen, Emanuel Tewolde, Jebish Purbey, Ram Mohan Rao Kadiyala, Siddhant Gupta, Aliaksei Korshuk, Buyantuev Alexander, Ilya Makarov, Gang Zhao, Rolando Fernandez, Zhihan Wang, Caroline Wang, Jiaxun Cui, Lingyun Xiao, Di Shi, Yoonchang Sung, Muhammad Arrasy Rahman, Peter Stone, Yipeng Kang, Hyeonggeun Yun, Ananya Ananya, Taehun Cha, Zhiqiang Wu, Elizaveta Tennant, Olivia Macmillan-Scott, Marta Segura, Diana Riazi, Fuyang Cui, Sriram Ganapathi, Toryn Q. Klassen, Nico Schiavone, Mogtaba Alim, Sheila A. McIlraith, Manuel Ríos, Oswaldo Peña, Carlos Rojas, Manuela Chacon-Chamorro, Rubén Manrique, Luis Felipe Giraldo, Nicanor Quijano, Yiding Wang, Yuxuan Chen, Fangwei Zhong, Mengmeng Wang, Wenming Tu, Zhaowei Zhang, Ziang Chen, Zixia Jia, Xue Feng, Zilong Zheng, Chichen Lin, Weijian Fan, Chenao Liu, Sneheel Sarangi, Ziyan Wang, Shuqing Shi, Yali Du, Avinaash Anand Kulandaivel, Yang Liu, Ruiyang Wu, Chetan Talele, Sunjia Lu, Gema Parreno, Shamika Dhuri, Bain McHale, Tim Baarslag, Dylan Hadfield-Menell, Natasha Jaques, José Hernández-Orallo, Joel Z. Leibo

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

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

Atrisha Sarkar, Andrei Ioan Muresanu, Carter Blair, Aaryam Sharma, Rakshit S. Trivedi, Gillian K. Hadfield

CoRR, 2024

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, Alexander Sasha Vezhnevets, Barna Pásztor, Yunke Ao, Omar G. Younis, Jiawei Huang, Benjamin Swain, Haoyuan Qin, Mian Deng, Ziwei Deng, Utku Erdoganaras, Yue Zhao, Marko Tesic, Natasha Jaques, Jakob N. Foerster, Vincent Conitzer, José Hernández-Orallo, Dylan Hadfield-Menell, Joel Z. Leibo

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Diffuse, Sample, Project: Plug-And-Play Controllable Graph Generation.

Kartik Sharma, Srijan Kumar, Rakshit S. Trivedi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Temporal Dynamics-Aware Adversarial Attacks on Discrete-Time Dynamic Graph Models.

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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

CrowdPlay: Crowdsourcing Human Demonstrations for Offline Learning.

Matthias Gerstgrasser, Rakshit S. Trivedi, David C. Parkes

Proceedings of the Tenth International Conference on Learning Representations, 2022

Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning.

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

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2020

Learning Strategic Network Emergence Games.

Rakshit S. Trivedi, Hongyuan Zha

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

GraphOpt: Learning Optimization Models of Graph Formation.

Rakshit S. Trivedi, Jiachen Yang, Hongyuan Zha

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

DyRep: Learning Representations over Dynamic Graphs.

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

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Representation Learning over Dynamic Graphs.

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

CoRR, 2018

Learning Deep Mean Field Games for Modeling Large Population Behavior.

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

Proceedings of the 6th International Conference on Learning Representations, 2018

LinkNBed: Multi-Graph Representation Learning with Entity Linkage.

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

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

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

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

CoRR, 2017

Know-Evolve: Deep Reasoning in Temporal Knowledge Graphs.

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

CoRR, 2017

Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs.

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

Proceedings of the 34th International Conference on Machine Learning, 2017

Fake News Mitigation via Point Process Based Intervention.

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

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Recurrent Coevolutionary Feature Embedding Processes for Recommendation.

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

CoRR, 2016

Recurrent Coevolutionary Latent Feature Processes for Continuous-Time Recommendation.

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

Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, 2016

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

Yichen Wang, Nan Du, Rakshit S. Trivedi, Le Song

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Recurrent Marked Temporal Point Processes: Embedding Event History to Vector.

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

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2013

Discourse Connectors for Latent Subjectivity in Sentiment Analysis.

Rakshit S. Trivedi, Jacob Eisenstein

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

2012

CODD: constructing dataless databases.

Rakshit S. Trivedi, I. Nilavalagan, Jayant R. Haritsa

Proceedings of the Fifth International Workshop on Testing Database Systems, 2012