Ilia Kulikov

59 papers A* 4A 1B 1Misc 4Journal 39Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Reasoning over mathematical objects: on-policy reward modeling and test time aggregation.
CoRR
Pranjal Aggarwal, Marjan Ghazvininejad, Seungone Kim, Ilia Kulikov, Jack Lanchantin, Xian Li, Tianjian Li, Bo Liu, Graham Neubig, Anaelia Ovalle, Swarnadeep Saha, Sainbayar Sukhbaatar, Sean Welleck, Jason Weston, Chenxi Whitehouse, Adina Williams, Jing Xu, Ping Yu, Weizhe Yuan, Jingyu Zhang, Wenting Zhao
2025 J jnl
Bridging Offline and Online Reinforcement Learning for LLMs.
CoRR
Jack Lanchantin, Angelica Chen, Janice Lan, Xian Li, Swarnadeep Saha, Tianlu Wang, Jing Xu, Ping Yu, Weizhe Yuan, Jason E. Weston, Sainbayar Sukhbaatar, Ilia Kulikov
2025 J jnl
CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks.
CoRR
Ping Yu, Jack Lanchantin, Tianlu Wang, Weizhe Yuan, Olga Golovneva, Ilia Kulikov, Sainbayar Sukhbaatar, Jason Weston, Jing Xu
2025 J jnl
Diverse Preference Optimization.
CoRR
Jack Lanchantin, Angelica Chen, Shehzaad Dhuliawala, Ping Yu, Jason Weston, Sainbayar Sukhbaatar, Ilia Kulikov
2025 A* conf
Following Length Constraints in Instructions.
EMNLP
Weizhe Yuan, Ilia Kulikov, Ping Yu, Kyunghyun Cho, Sainbayar Sukhbaatar, Jason E. Weston, Jing Xu
2025 J jnl
Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense.
CoRR
Leitian Tao, Ilia Kulikov, Swarnadeep Saha, Tianlu Wang, Jing Xu, Sharon Li, Jason E. Weston, Ping Yu
2025 J jnl
J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning.
CoRR
Chenxi Whitehouse, Tianlu Wang, Ping Yu, Xian Li, Jason Weston, Ilia Kulikov, Swarnadeep Saha
2025 J jnl
LLM Pretraining with Continuous Concepts.
CoRR
Jihoon Tack, Jack Lanchantin, Jane Yu, Andrew Cohen, Ilia Kulikov, Janice Lan, Shibo Hao, Yuandong Tian, Jason Weston, Xian Li
2025 J jnl
Learning to Reason for Factuality.
CoRR
Xilun Chen, Ilia Kulikov, Vincent-Pierre Berges, Barlas Oguz, Rulin Shao, Gargi Ghosh, Jason Weston, Wen-tau Yih
2025 J jnl
NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions.
CoRR
Weizhe Yuan, Jane Yu, Song Jiang, Karthik Padthe, Yang Li, Dong Wang, Ilia Kulikov, Kyunghyun Cho, Yuandong Tian, Jason E. Weston, Xian Li
2025 J jnl
NaturalThoughts: Selecting and Distilling Reasoning Traces for General Reasoning Tasks.
CoRR
Yang Li, Youssef Emad, Karthik Padthe, Jack Lanchantin, Weizhe Yuan, Thao Nguyen, Jason Weston, Shang-wen Li, Dong Wang, Ilia Kulikov, Xian Li
2025 J jnl
OptimalThinkingBench: Evaluating Over and Underthinking in LLMs.
CoRR
Pranjal Aggarwal, Seungone Kim, Jack Lanchantin, Sean Welleck, Jason Weston, Ilia Kulikov, Swarnadeep Saha
2025 J jnl
Post-training an LLM for RAG? Train on Self-Generated Demonstrations.
CoRR
Matthew Finlayson, Ilia Kulikov, Daniel M. Bikel, Barlas Oguz, Xilun Chen, Aasish Pappu
2025 J jnl
SPICE: Self-Play In Corpus Environments Improves Reasoning.
CoRR
Bo Liu, Chuanyang Jin, Seungone Kim, Weizhe Yuan, Wenting Zhao, Ilia Kulikov, Xian Li, Sainbayar Sukhbaatar, Jack Lanchantin, Jason Weston
2025 J jnl
Safety Alignment of LMs via Non-cooperative Games.
CoRR
Anselm Paulus, Ilia Kulikov, Brandon Amos, Rémi Munos, Ivan Evtimov, Kamalika Chaudhuri, Arman Zharmagambetov
2025 J jnl
The Majority is not always right: RL training for solution aggregation.
CoRR
Wenting Zhao, Pranjal Aggarwal, Swarnadeep Saha, Asli Celikyilmaz, Jason Weston, Ilia Kulikov
2024 J jnl
Adaptive Decoding via Latent Preference Optimization.
CoRR
Shehzaad Dhuliawala, Ilia Kulikov, Ping Yu, Asli Celikyilmaz, Jason Weston, Sainbayar Sukhbaatar, Jack Lanchantin
2024 J jnl
An Empirical Study of Speech Language Models for Prompt-Conditioned Speech Synthesis.
CoRR
Yifan Peng, Ilia Kulikov, Yilin Yang, Sravya Popuri, Hui Lu, Changhan Wang, Hongyu Gong
2024 J jnl
Distilling System 2 into System 1.
CoRR
Ping Yu, Jing Xu, Jason Weston, Ilia Kulikov
2024 J jnl
Following Length Constraints in Instructions.
CoRR
Weizhe Yuan, Ilia Kulikov, Ping Yu, Kyunghyun Cho, Sainbayar Sukhbaatar, Jason Weston, Jing Xu
2024 J jnl
From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models.
CoRR
Sean Welleck, Amanda Bertsch, Matthew Finlayson, Hailey Schoelkopf, Alex Xie, Graham Neubig, Ilia Kulikov, Zaïd Harchaoui
2024 J jnl
From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models.
Trans. Mach. Learn. Res.
Sean Welleck, Amanda Bertsch, Matthew Finlayson, Hailey Schoelkopf, Alex Xie, Graham Neubig, Ilia Kulikov, Zaïd Harchaoui
2024 A conf
Investigating Decoder-only Large Language Models for Speech-to-text Translation.
INTERSPEECH
Chao-Wei Huang, Hui Lu, Hongyu Gong, Hirofumi Inaguma, Ilia Kulikov, Ruslan Mavlyutov, Sravya Popuri
2024 J jnl
Investigating Decoder-only Large Language Models for Speech-to-text Translation.
CoRR
Chao-Wei Huang, Hui Lu, Hongyu Gong, Hirofumi Inaguma, Ilia Kulikov, Ruslan Mavlyutov, Sravya Popuri
2024 J jnl
MSLM-S2ST: A Multitask Speech Language Model for Textless Speech-to-Speech Translation with Speaker Style Preservation.
CoRR
Yifan Peng, Ilia Kulikov, Yilin Yang, Sravya Popuri, Hui Lu, Changhan Wang, Hongyu Gong
2024 — conf
Massively Multilingual Forced Aligner Leveraging Self-Supervised Discrete Units.
SLT
Hirofumi Inaguma, Ilia Kulikov, Zhaoheng Ni, Sravya Popuri, Paden Tomasello
2024 A* conf
Multi-resolution HuBERT: Multi-resolution Speech Self-Supervised Learning with Masked Unit Prediction.
ICLR
Jiatong Shi, Hirofumi Inaguma, Xutai Ma, Ilia Kulikov, Anna Y. Sun
2024 J jnl
Self-Taught Evaluators.
CoRR
Tianlu Wang, Ilia Kulikov, Olga Golovneva, Ping Yu, Weizhe Yuan, Jane Dwivedi-Yu, Richard Yuanzhe Pang, Maryam Fazel-Zarandi, Jason Weston, Xian Li
2024 — conf
Textless Acoustic Model with Self-Supervised Distillation for Noise-Robust Expressive Speech-to-Speech Translation.
ACL (Findings)
Min-Jae Hwang, Ilia Kulikov, Benjamin N. Peloquin, Hongyu Gong, Peng-Jen Chen, Ann Lee
2024 J jnl
Textless Acoustic Model with Self-Supervised Distillation for Noise-Robust Expressive Speech-to-Speech Translation.
CoRR
Min-Jae Hwang, Ilia Kulikov, Benjamin N. Peloquin, Hongyu Gong, Peng-Jen Chen, Ann Lee
2023 Misc conf
Improving Speech-to-Speech Translation Through Unlabeled Text.
ICASSP
Xuan-Phi Nguyen, Sravya Popuri, Changhan Wang, Yun Tang, Ilia Kulikov, Hongyu Gong
2023 J jnl
Multi-resolution HuBERT: Multi-resolution Speech Self-Supervised Learning with Masked Unit Prediction.
CoRR
Jiatong Shi, Hirofumi Inaguma, Xutai Ma, Ilia Kulikov, Anna Y. Sun
2023 Misc conf
Named Entity Detection and Injection for Direct Speech Translation.
ICASSP
Marco Gaido, Yun Tang, Ilia Kulikov, Rongqing Huang, Hongyu Gong, Hirofumi Inaguma
2023 J jnl
Seamless: Multilingual Expressive and Streaming Speech Translation.
CoRR
Loïc Barrault, Yu-An Chung, Mariano Coria Meglioli, David Dale, Ning Dong, Mark Duppenthaler, Paul-Ambroise Duquenne, Brian Ellis, Hady Elsahar, Justin Haaheim, John Hoffman, Min-Jae Hwang, Hirofumi Inaguma, Christopher Klaiber, Ilia Kulikov, Pengwei Li, Daniel Licht, Jean Maillard, Ruslan Mavlyutov, Alice Rakotoarison, Kaushik Ram Sadagopan, Abinesh Ramakrishnan, Tuan Tran, Guillaume Wenzek, Yilin Yang, Ethan Ye, Ivan Evtimov, Pierre Fernandez, Cynthia Gao, Prangthip Hansanti, Elahe Kalbassi, Amanda Kallet, Artyom Kozhevnikov, Gabriel Mejia Gonzalez, Robin San Roman, Christophe Touret, Corinne Wong, Carleigh Wood, Bokai Yu, Pierre Andrews, Can Balioglu, Peng-Jen Chen, Marta R. Costa-jussà, Maha Elbayad, Hongyu Gong, Francisco Guzmán, Kevin Heffernan, Somya Jain, Justine Kao, Ann Lee, Xutai Ma, Alexandre Mourachko, Benjamin N. Peloquin, Juan Pino, Sravya Popuri, Christophe Ropers, Safiyyah Saleem, Holger Schwenk, Anna Y. Sun, Paden Tomasello, Changhan Wang, Jeff Wang, Skyler Wang, Mary Williamson
2023 J jnl
SeamlessM4T-Massively Multilingual & Multimodal Machine Translation.
CoRR
Seamless Communication, Loïc Barrault, Yu-An Chung, Mariano Coria Meglioli, David Dale, Ning Dong, Paul-Ambroise Duquenne, Hady Elsahar, Hongyu Gong, Kevin Heffernan, John Hoffman, Christopher Klaiber, Pengwei Li, Daniel Licht, Jean Maillard, Alice Rakotoarison, Kaushik Ram Sadagopan, Guillaume Wenzek, Ethan Ye, Bapi Akula, Peng-Jen Chen, Naji El Hachem, Brian Ellis, Gabriel Mejia Gonzalez, Justin Haaheim, Prangthip Hansanti, Russ Howes, Bernie Huang, Min-Jae Hwang, Hirofumi Inaguma, Somya Jain, Elahe Kalbassi, Amanda Kallet, Ilia Kulikov, Janice Lam, Daniel Li, Xutai Ma, Ruslan Mavlyutov, Benjamin N. Peloquin, Mohamed Ramadan, Abinesh Ramakrishnan, Anna Y. Sun, Kevin Tran, Tuan Tran, Igor Tufanov, Vish Vogeti, Carleigh Wood, Yilin Yang, Bokai Yu, Pierre Andrews, Can Balioglu, Marta R. Costa-jussà, Onur Celebi, Maha Elbayad, Cynthia Gao, Francisco Guzmán, Justine Kao, Ann Lee, Alexandre Mourachko, Juan Pino, Sravya Popuri, Christophe Ropers, Safiyyah Saleem, Holger Schwenk, Paden Tomasello, Changhan Wang, Jeff Wang, Skyler Wang
2023 — conf
Simple and Effective Unsupervised Speech Translation.
ACL (1)
Changhan Wang, Hirofumi Inaguma, Peng-Jen Chen, Ilia Kulikov, Yun Tang, Wei-Ning Hsu, Michael Auli, Juan Pino
2023 — conf
UnitY: Two-pass Direct Speech-to-speech Translation with Discrete Units.
ACL (1)
Hirofumi Inaguma, Sravya Popuri, Ilia Kulikov, Peng-Jen Chen, Changhan Wang, Yu-An Chung, Yun Tang, Ann Lee, Shinji Watanabe, Juan Pino
2022 — —
Characterizing and Resolving Degeneracies in Neural Autoregressive Text Generation.
Ilia Kulikov
2022 — conf
Characterizing and addressing the issue of oversmoothing in neural autoregressive sequence modeling.
AACL/IJCNLP (1)
Ilia Kulikov, Maksim Eremeev, Kyunghyun Cho
2022 J jnl
Improving Speech-to-Speech Translation Through Unlabeled Text.
CoRR
Xuan-Phi Nguyen, Sravya Popuri, Changhan Wang, Yun Tang, Ilia Kulikov, Hongyu Gong
2022 J jnl
Named Entity Detection and Injection for Direct Speech Translation.
CoRR
Marco Gaido, Yun Tang, Ilia Kulikov, Rongqing Huang, Hongyu Gong, Hirofumi Inaguma
2022 J jnl
Simple and Effective Unsupervised Speech Translation.
CoRR
Changhan Wang, Hirofumi Inaguma, Peng-Jen Chen, Ilia Kulikov, Yun Tang, Wei-Ning Hsu, Michael Auli, Juan Pino
2022 — conf
Uncertainty Determines the Adequacy of the Mode and the Tractability of Decoding in Sequence-to-Sequence Models.
ACL (1)
Felix Stahlberg, Ilia Kulikov, Shankar Kumar
2022 J jnl
Uncertainty Determines the Adequacy of the Mode and the Tractability of Decoding in Sequence-to-Sequence Models.
CoRR
Felix Stahlberg, Ilia Kulikov, Shankar Kumar
2022 J jnl
UnitY: Two-pass Direct Speech-to-speech Translation with Discrete Units.
CoRR
Hirofumi Inaguma, Sravya Popuri, Ilia Kulikov, Peng-Jen Chen, Changhan Wang, Yu-An Chung, Yun Tang, Ann Lee, Shinji Watanabe, Juan Pino
2021 J jnl
Characterizing and addressing the issue of oversmoothing in neural autoregressive sequence modeling.
CoRR
Ilia Kulikov, Maksim Eremeev, Kyunghyun Cho
2021 — conf
Mode recovery in neural autoregressive sequence modeling.
SPNLP@ACL-IJCNLP
Ilia Kulikov, Sean Welleck, Kyunghyun Cho
2021 J jnl
Mode recovery in neural autoregressive sequence modeling.
CoRR
Ilia Kulikov, Sean Welleck, Kyunghyun Cho
2020 — conf
Consistency of a Recurrent Language Model With Respect to Incomplete Decoding.
EMNLP (1)
Sean Welleck, Ilia Kulikov, Jaedeok Kim, Richard Yuanzhe Pang, Kyunghyun Cho
2020 J jnl
Consistency of a Recurrent Language Model With Respect to Incomplete Decoding.
CoRR
Sean Welleck, Ilia Kulikov, Jaedeok Kim, Richard Yuanzhe Pang, Kyunghyun Cho
2020 A* conf
Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training.
ACL
Margaret Li, Stephen Roller, Ilia Kulikov, Sean Welleck, Y-Lan Boureau, Kyunghyun Cho, Jason Weston
2020 A* conf
Neural Text Generation With Unlikelihood Training.
ICLR
Sean Welleck, Ilia Kulikov, Stephen Roller, Emily Dinan, Kyunghyun Cho, Jason Weston
2019 J jnl
Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training.
CoRR
Margaret Li, Stephen Roller, Ilia Kulikov, Sean Welleck, Y-Lan Boureau, Kyunghyun Cho, Jason Weston
2019 B conf
Importance of Search and Evaluation Strategies in Neural Dialogue Modeling.
INLG
Ilia Kulikov, Alexander H. Miller, Kyunghyun Cho, Jason Weston
2019 J jnl
Multi-Turn Beam Search for Neural Dialogue Modeling.
CoRR
Ilia Kulikov, Jason Lee, Kyunghyun Cho
2019 J jnl
Neural Text Generation with Unlikelihood Training.
CoRR
Sean Welleck, Ilia Kulikov, Stephen Roller, Emily Dinan, Kyunghyun Cho, Jason Weston
2017 Misc conf
Faster sequence training.
ICASSP
Albert Zeyer, Ilia Kulikov, Ralf Schlüter, Hermann Ney
2017 — conf
Optimization of Memory Operations in Generalized Search Trees of PostgreSQL.
BDAS
Andrey Borodin, Sergey Mirvoda, Ilia Kulikov, Sergey Porshnev
2017 Misc conf
Returnn: The RWTH extensible training framework for universal recurrent neural networks.
ICASSP
Patrick Doetsch, Albert Zeyer, Paul Voigtlaender, Ilia Kulikov, Ralf Schlüter, Hermann Ney