Optimization of Memory Operations in Generalized Search Trees of PostgreSQL. - Andrey Borodin; Sergey Mirvoda; Ilia Kulikov; Sergey Porshnev (BDAS, 2017)

Returnn: The RWTH extensible training framework for universal recurrent neural networks. - Patrick Doetsch; Albert Zeyer; Paul Voigtlaender; Ilia Kulikov; Ralf Schlüter; Hermann Ney (ICASSP, 2017)

Faster sequence training. - Albert Zeyer; Ilia Kulikov; Ralf Schlüter; Hermann Ney (ICASSP, 2017)

Vehicle Community Strategies. - Cinjon Resnick; Ilya Kulikov; Kyunghyun Cho; Jason Weston (CoRR, 2018)

Importance of a Search Strategy in Neural Dialogue Modelling. - Ilya Kulikov; Alexander H. Miller; Kyunghyun Cho; Jason Weston (CoRR, 2018)

Importance of Search and Evaluation Strategies in Neural Dialogue Modeling. - Ilia Kulikov; Alexander H. Miller; Kyunghyun Cho; Jason Weston (INLG, 2019)

Multi-Turn Beam Search for Neural Dialogue Modeling. - Ilia Kulikov; Jason Lee 002; Kyunghyun Cho (CoRR, 2019)

Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training. - Margaret Li; Stephen Roller; Ilia Kulikov; Sean Welleck; Y-Lan Boureau; Kyunghyun Cho; Jason Weston (ACL, 2020)

Consistency of a Recurrent Language Model With Respect to Incomplete Decoding. - Sean Welleck; Ilia Kulikov; Jaedeok Kim; Richard Yuanzhe Pang; Kyunghyun Cho (EMNLP (1), 2020)

Neural Text Generation With Unlikelihood Training. - Sean Welleck; Ilia Kulikov; Stephen Roller; Emily Dinan; Kyunghyun Cho; Jason Weston (ICLR, 2020)

Mode recovery in neural autoregressive sequence modeling. - Ilia Kulikov; Sean Welleck; Kyunghyun Cho (SPNLP@ACL-IJCNLP, 2021)

Uncertainty Determines the Adequacy of the Mode and the Tractability of Decoding in Sequence-to-Sequence Models. - Felix Stahlberg; Ilia Kulikov; Shankar Kumar (ACL (1), 2022)

Characterizing and addressing the issue of oversmoothing in neural autoregressive sequence modeling. - Ilia Kulikov; Maksim Eremeev; Kyunghyun Cho (AACL/IJCNLP (1), 2022)

Characterizing and Resolving Degeneracies in Neural Autoregressive Text Generation. - Ilia Kulikov (2022)

UnitY: Two-pass Direct Speech-to-speech Translation with Discrete Units. - Hirofumi Inaguma; Sravya Popuri; Ilia Kulikov; Peng-Jen Chen; Changhan Wang; Yu-An Chung; Yun Tang 002; Ann Lee 001; Shinji Watanabe 001; Juan Pino 001 (ACL (1), 2023)

Simple and Effective Unsupervised Speech Translation. - Changhan Wang; Hirofumi Inaguma; Peng-Jen Chen; Ilia Kulikov; Yun Tang 002; Wei-Ning Hsu; Michael Auli; Juan Pino 001 (ACL (1), 2023)

Named Entity Detection and Injection for Direct Speech Translation. - Marco Gaido; Yun Tang 002; Ilia Kulikov; Rongqing Huang; Hongyu Gong; Hirofumi Inaguma (ICASSP, 2023)

Improving Speech-to-Speech Translation Through Unlabeled Text. - Xuan-Phi Nguyen; Sravya Popuri; Changhan Wang; Yun Tang 002; Ilia Kulikov; Hongyu Gong (ICASSP, 2023)

SeamlessM4T-Massively Multilingual & Multimodal Machine Translation. - 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; et al. (CoRR, 2023)

Seamless: Multilingual Expressive and Streaming Speech Translation. - 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; et al. (CoRR, 2023)

Textless Acoustic Model with Self-Supervised Distillation for Noise-Robust Expressive Speech-to-Speech Translation. - Min-Jae Hwang; Ilia Kulikov; Benjamin N. Peloquin; Hongyu Gong; Peng-Jen Chen; Ann Lee 001 (ACL (Findings), 2024)

Multi-resolution HuBERT: Multi-resolution Speech Self-Supervised Learning with Masked Unit Prediction. - Jiatong Shi; Hirofumi Inaguma; Xutai Ma; Ilia Kulikov; Anna Y. Sun (ICLR, 2024)

Investigating Decoder-only Large Language Models for Speech-to-text Translation. - Chao-Wei Huang; Hui Lu; Hongyu Gong; Hirofumi Inaguma; Ilia Kulikov; Ruslan Mavlyutov; Sravya Popuri (INTERSPEECH, 2024)

Massively Multilingual Forced Aligner Leveraging Self-Supervised Discrete Units. - Hirofumi Inaguma; Ilia Kulikov; Zhaoheng Ni; Sravya Popuri; Paden Tomasello (SLT, 2024)

An Empirical Study of Speech Language Models for Prompt-Conditioned Speech Synthesis. - Yifan Peng 003; Ilia Kulikov; Yilin Yang; Sravya Popuri; Hui Lu; Changhan Wang; Hongyu Gong (CoRR, 2024)

MSLM-S2ST: A Multitask Speech Language Model for Textless Speech-to-Speech Translation with Speaker Style Preservation. - Yifan Peng 003; Ilia Kulikov; Yilin Yang; Sravya Popuri; Hui Lu; Changhan Wang; Hongyu Gong (CoRR, 2024)

Following Length Constraints in Instructions. - Weizhe Yuan; Ilia Kulikov; Ping Yu; Kyunghyun Cho; Sainbayar Sukhbaatar; Jason Weston; Jing Xu (CoRR, 2024)

Distilling System 2 into System 1. - Ping Yu; Jing Xu; Jason Weston; Ilia Kulikov (CoRR, 2024)

Self-Taught Evaluators. - Tianlu Wang; Ilia Kulikov; Olga Golovneva; Ping Yu; Weizhe Yuan; Jane Dwivedi-Yu; Richard Yuanzhe Pang; Maryam Fazel-Zarandi; Jason Weston; Xian Li 003 (CoRR, 2024)

Adaptive Decoding via Latent Preference Optimization. - Shehzaad Dhuliawala; Ilia Kulikov; Ping Yu; Asli Celikyilmaz; Jason Weston; Sainbayar Sukhbaatar; Jack Lanchantin (CoRR, 2024)

From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models. - Sean Welleck; Amanda Bertsch; Matthew Finlayson; Hailey Schoelkopf; Alex Xie; Graham Neubig; Ilia Kulikov; Zaïd Harchaoui (Trans. Mach. Learn. Res., 2024)

Diverse Preference Optimization. - Jack Lanchantin; Angelica Chen; Shehzaad Dhuliawala; Ping Yu; Jason Weston; Sainbayar Sukhbaatar; Ilia Kulikov (CoRR, 2025)

LLM Pretraining with Continuous Concepts. - Jihoon Tack; Jack Lanchantin; Jane Yu; Andrew Cohen; Ilia Kulikov; Janice Lan; Shibo Hao; Yuandong Tian; Jason Weston; Xian Li 003 (CoRR, 2025)

Post-training an LLM for RAG? Train on Self-Generated Demonstrations. - Matthew Finlayson; Ilia Kulikov; Daniel M. Bikel; Barlas Oguz; Xilun Chen 002; Aasish Pappu (CoRR, 2025)

NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions. - Weizhe Yuan; Jane Yu; Song Jiang; Karthik Padthe; Yang Li; Dong Wang; Ilia Kulikov; Kyunghyun Cho; Yuandong Tian; Jason E. Weston; Xian Li 003 (CoRR, 2025)

J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning. - Chenxi Whitehouse; Tianlu Wang; Ping Yu; Xian Li 003; Jason Weston; Ilia Kulikov; Swarnadeep Saha (CoRR, 2025)

Bridging Offline and Online Reinforcement Learning for LLMs. - Jack Lanchantin; Angelica Chen; Janice Lan; Xian Li 003; Swarnadeep Saha; Tianlu Wang; Jing Xu; Ping Yu; Weizhe Yuan; Jason E. Weston; Sainbayar Sukhbaatar; Ilia Kulikov (CoRR, 2025)

NaturalThoughts: Selecting and Distilling Reasoning Traces for General Reasoning Tasks. - Yang Li; Youssef Emad; Karthik Padthe; Jack Lanchantin; Weizhe Yuan; Thao Nguyen; Jason Weston; Shang-Wen Li 001; Dong Wang; Ilia Kulikov; Xian Li 003 (CoRR, 2025)

CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks. - Ping Yu; Jack Lanchantin; Tianlu Wang; Weizhe Yuan; Olga Golovneva; Ilia Kulikov; Sainbayar Sukhbaatar; Jason Weston; Jing Xu (CoRR, 2025)

Learning to Reason for Factuality. - Xilun Chen 002; Ilia Kulikov; Vincent-Pierre Berges; Barlas Oguz; Rulin Shao; Gargi Ghosh; Jason Weston; Wen-tau Yih (CoRR, 2025)

OptimalThinkingBench: Evaluating Over and Underthinking in LLMs. - Pranjal Aggarwal; Seungone Kim; Jack Lanchantin; Sean Welleck; Jason Weston; Ilia Kulikov; Swarnadeep Saha (CoRR, 2025)