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ORCIDRakshit S. Trivedi
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2020 – today
- 2026
[i16]Rakshit S. Trivedi, Kartik Sharma, David C. Parkes:
Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI coordination. CoRR abs/2602.20517 (2026)- [i15]Kartik Sharma, Rakshit S. Trivedi:
COLD-Steer: Steering Large Language Models via In-Context One-step Learning Dynamics. CoRR abs/2603.06495 (2026) - [i14]Rakshit S. Trivedi, Natasha Jaques, Logan Cross, Alexander Sasha Vezhnevets, Joel Z. Leibo:
Solipsistic Superintelligence is Unlikely to be Cooperative. CoRR abs/2606.03237 (2026) - 2025
- [c19]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:
Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia. NeurIPS 2025 - [c18]Rakshit S. Trivedi, Kartik Sharma, David C. Parkes:
Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI coordination. NeurIPS 2025 - [i13]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:
The AI Agent Index. CoRR abs/2502.01635 (2025) - [i12]Kartik Sharma, Yiqiao Jin, Rakshit S. Trivedi, Srijan Kumar:
Efficient Knowledge Probing of Large Language Models by Adapting Pre-trained Embeddings. CoRR abs/2508.06030 (2025) - [i11]Marko Tesic, Yue Zhao, Joel Z. Leibo, Rakshit S. Trivedi, José Hernández-Orallo:
Beyond the high score: Prosocial ability profiles of multi-agent populations. CoRR abs/2509.14485 (2025) - [i10]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:
Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia. CoRR abs/2512.03318 (2025) - 2024
- [c17]Kartik Sharma, Srijan Kumar, Rakshit S. Trivedi:
Diffuse, Sample, Project: Plug-And-Play Controllable Graph Generation. ICML 2024: 44545-44564 - [c16]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:
Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence. NeurIPS 2024 - [i9]Atrisha Sarkar, Andrei Ioan Muresanu, Carter Blair, Aaryam Sharma, Rakshit S. Trivedi, Gillian K. Hadfield:
Normative Modules: A Generative Agent Architecture for Learning Norms that Supports Multi-Agent Cooperation. CoRR abs/2405.19328 (2024) - 2023
- [c15]Kartik Sharma, Rakshit S. Trivedi, Rohit Sridhar, Srijan Kumar:
Temporal Dynamics-Aware Adversarial Attacks on Discrete-Time Dynamic Graph Models. KDD 2023: 2023-2035 - 2022
- [c14]Jiachen Yang, Ethan Wang, Rakshit S. Trivedi, Tuo Zhao, Hongyuan Zha:
Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning. AAMAS 2022: 1436-1445 - [c13]Matthias Gerstgrasser, Rakshit S. Trivedi, David C. Parkes:
CrowdPlay: Crowdsourcing Human Demonstrations for Offline Learning. ICLR 2022 - 2021
- [i8]Jiachen Yang, Ethan Wang, Rakshit S. Trivedi, Tuo Zhao, Hongyuan Zha:
Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning. CoRR abs/2112.10859 (2021) - 2020
- [c12]Rakshit S. Trivedi, Jiachen Yang, Hongyuan Zha:
GraphOpt: Learning Optimization Models of Graph Formation. ICML 2020: 9603-9613 - [c11]Rakshit S. Trivedi, Hongyuan Zha:
Learning Strategic Network Emergence Games. NeurIPS 2020 - [i7]Rakshit S. Trivedi, Jiachen Yang, Hongyuan Zha:
GraphOpt: Learning Optimization Models of Graph Formation. CoRR abs/2007.03619 (2020)
2010 – 2019
- 2019
- [c10]Rakshit S. Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal, Hongyuan Zha:
DyRep: Learning Representations over Dynamic Graphs. ICLR (Poster) 2019 - 2018
- [c9]Rakshit S. Trivedi, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, Jun Ma, Hongyuan Zha:
LinkNBed: Multi-Graph Representation Learning with Entity Linkage. ACL (1) 2018: 252-262 - [c8]Jiachen Yang, Xiaojing Ye, Rakshit S. Trivedi, Huan Xu, Hongyuan Zha:
Learning Deep Mean Field Games for Modeling Large Population Behavior. ICLR 2018 - [i6]Rakshit S. Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal, Hongyuan Zha:
Representation Learning over Dynamic Graphs. CoRR abs/1803.04051 (2018) - [i5]Rakshit S. Trivedi, Bunyamin Sisman, Jun Ma, Christos Faloutsos, Hongyuan Zha, Xin Luna Dong:
LinkNBed: Multi-Graph Representation Learning with Entity Linkage. CoRR abs/1807.08447 (2018) - 2017
- [c7]Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit S. Trivedi, Elias B. Khalil, Shuang Li, Le Song, Hongyuan Zha:
Fake News Mitigation via Point Process Based Intervention. ICML 2017: 1097-1106 - [c6]Rakshit S. Trivedi, Hanjun Dai, Yichen Wang, Le Song:
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs. ICML 2017: 3462-3471 - [i4]Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit S. Trivedi, Elias Boutros Khalil, Shuang Li, Le Song, Hongyuan Zha:
Fake News Mitigation via Point Process Based Intervention. CoRR abs/1703.07823 (2017) - [i3]Rakshit S. Trivedi, Hanjun Dai, Yichen Wang, Le Song:
Know-Evolve: Deep Reasoning in Temporal Knowledge Graphs. CoRR abs/1705.05742 (2017) - [i2]Jiachen Yang, Xiaojing Ye, Rakshit S. Trivedi, Huan Xu, Hongyuan Zha:
Deep Mean Field Games for Learning Optimal Behavior Policy of Large Populations. CoRR abs/1711.03156 (2017) - 2016
- [c5]Nan Du, Hanjun Dai, Rakshit S. Trivedi, Utkarsh Upadhyay, Manuel Gomez-Rodriguez, Le Song:
Recurrent Marked Temporal Point Processes: Embedding Event History to Vector. KDD 2016: 1555-1564 - [c4]Yichen Wang, Nan Du, Rakshit S. Trivedi, Le Song:
Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions. NIPS 2016: 4547-4555 - [c3]Hanjun Dai, Yichen Wang, Rakshit S. Trivedi, Le Song:
Recurrent Coevolutionary Latent Feature Processes for Continuous-Time Recommendation. DLRS@RecSys 2016: 29-34 - [i1]Hanjun Dai, Yichen Wang, Rakshit S. Trivedi, Le Song:
Recurrent Coevolutionary Feature Embedding Processes for Recommendation. CoRR abs/1609.03675 (2016) - 2013
- [c2]Rakshit S. Trivedi, Jacob Eisenstein:
Discourse Connectors for Latent Subjectivity in Sentiment Analysis. HLT-NAACL 2013: 808-813 - 2012
- [c1]Rakshit S. Trivedi, I. Nilavalagan, Jayant R. Haritsa:
CODD: constructing dataless databases. DBTest 2012: 4
Coauthor Index
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last updated on 2026-08-09 23:33 CEST by the dblp team
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