IK
Ilia Kulikov
cs.CLcs.LGcs.AIcs.SDeess.ASstat.MLphysics.med-ph
On Valency
published · living versionsW_kwzn9zcn·v1 · currentpublished
Aligning Autoresearch: Co-Improvement between Agents and Humans
with Tianjian Li, Chuanyang Jin, Seungone Kim, Tong Chen +8
1 version
Preprints & journals
43 papers in the corpus · 2018–2026Agent Plasticity: Measuring Self-Improvement Through Experience2610.08902v1 · Harman Singh, Anton Bakhtin, Rulin Shao et al.2026 · 0 citationsarXiv
Shimmer: End-to-End Open-Source Passive B0 Shimming Methodology for Low-Field MRI Magnets2608.22351v1 · Ilia Kulikov, David Schote, Helge Herthum et al.2026 · 0 citationsarXiv
A Reference System for Open Source Portable Low-Field MRI2608.19062v2 · David Schote, Helge Herthum, Umberto Zanovello et al.2026 · 0 citationsarXiv
Autodata: An agentic data scientist to create high quality synthetic data2606.25996v3 · Ilia Kulikov, Chenxi Whitehouse, Tianhao Wu et al.2026 · 0 citationsarXiv
Reasoning over mathematical objects: on-policy reward modeling and test time aggregation2603.18886v1 · Pranjal Aggarwal, Marjan Ghazvininejad, Seungone Kim et al.2026 · 0 citationsarXiv
Self-Improving Pretraining: using post-trained models to pretrain better models2601.21343v3 · Ellen Xiaoqing Tan, Jack Lanchantin, Shehzaad Dhuliawala et al.2026 · 0 citationsarXiv
Safety Alignment of LMs via Non-cooperative Games2512.20806v3 · Anselm Paulus, Ilia Kulikov, Brandon Amos et al.2025 · 0 citationsarXiv
SPICE: Self-Play In Corpus Environments Improves Reasoning2510.24684v1 · Bo Liu, Chuanyang Jin, Seungone Kim et al.2025 · 0 citationsarXiv
Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense2510.07242v3 · Leitian Tao, Ilia Kulikov, Swarnadeep Saha et al.2025 · 0 citationsarXiv
The Majority is not always right: RL training for solution aggregation2509.06870v1 · Wenting Zhao, Pranjal Aggarwal, Swarnadeep Saha et al.2025 · 0 citationsarXiv
OptimalThinkingBench: Evaluating Over and Underthinking in LLMs2508.13141v2 · Pranjal Aggarwal, Seungone Kim, Jack Lanchantin et al.2025 · 1 citationarXiv
CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks2507.23751v2 · Ping Yu, Jack Lanchantin, Tianlu Wang et al.2025 · 0 citationsarXiv
NaturalThoughts: Selecting and Distilling Reasoning Traces for General Reasoning Tasks2507.01921v1 · Yang Li, Youssef Emad, Karthik Padthe et al.2025 · 0 citationsarXiv
Bridging Offline and Online Reinforcement Learning for LLMs2506.21495v1 · Jack Lanchantin, Angelica Chen, Janice Lan et al.2025 · 0 citationsarXiv
J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning2505.10320v3 · Chenxi Whitehouse, Tianlu Wang, Ping Yu et al.2025 · 1 citationarXiv
NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions2502.13124v4 · Weizhe Yuan, Jane Yu, Song Jiang et al.2025 · 0 citationsarXiv
Post-training an LLM for RAG? Train on Self-Generated Demonstrations2502.10596v2 · Matthew Finlayson, Ilia Kulikov, Daniel M. Bikel et al.2025 · 0 citationsarXiv
LLM Pretraining with Continuous Concepts2502.08524v1 · Jihoon Tack, Jack Lanchantin, Jane Yu et al.2025 · 0 citationsarXiv
Diverse Preference Optimization2501.18101v4 · Jack Lanchantin, Angelica Chen, Shehzaad Dhuliawala et al.2025 · 2 citationsarXiv
Adaptive Decoding via Latent Preference Optimization2411.09661v1 · Shehzaad Dhuliawala, Ilia Kulikov, Ping Yu et al.2024 · 1 citationarXiv
Self-Taught Evaluators2408.02666v2 · Tianlu Wang, Ilia Kulikov, Olga Golovneva et al.2024 · 3 citationsarXiv
Distilling System 2 into System 12407.06023v3 · Ping Yu, Jing Xu, Jason Weston et al.2024 · 2 citationsarXiv
Investigating Decoder-only Large Language Models for Speech-to-text Translation2407.03169v1 · Chao-Wei Huang, Hui Lu, Hongyu Gong et al.2024 · 5 citationsarXiv
Following Length Constraints in Instructions2406.17744v1 · Weizhe Yuan, Ilia Kulikov, Ping Yu et al.2024 · 3 citationsarXiv
From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models2406.16838v2 · Sean Welleck, Amanda Bertsch, Matthew Finlayson et al.2024 · 3 citationsarXiv
Textless Acoustic Model with Self-Supervised Distillation for Noise-Robust Expressive Speech-to-Speech Translation2406.02733v1 · Min-Jae Hwang, Ilia Kulikov, Benjamin Peloquin et al.2024 · 2 citationsarXiv
An Empirical Study of Speech Language Models for Prompt-Conditioned Speech Synthesis2403.12402v1 · Yifan Peng, Ilia Kulikov, Yilin Yang et al.2024 · 0 citationsarXiv
MSLM-S2ST: A Multitask Speech Language Model for Textless Speech-to-Speech Translation with Speaker Style Preservation2403.12408v1 · Yifan Peng, Ilia Kulikov, Yilin Yang et al.2024 · 1 citationarXiv
Seamless: Multilingual Expressive and Streaming Speech Translation2312.05187v1 · Seamless Communication, Loic Barrault, Yu-An Chung et al.2023 · 45 citationsarXiv
Multi-resolution HuBERT: Multi-resolution Speech Self-Supervised Learning with Masked Unit Prediction2310.02720v2 · Jiatong Shi, Hirofumi Inaguma, Xutai Ma et al.2023 · 8 citationsarXiv
SeamlessM4T: Massively Multilingual & Multimodal Machine Translation2308.11596v3 · Seamless Communication, Loic Barrault, Yu-An Chung et al.2023 · 15 citationsarXiv
UnitY: Two-pass Direct Speech-to-speech Translation with Discrete Units2212.08055v2 · Hirofumi Inaguma, Sravya Popuri, Ilia Kulikov et al.2022 · 33 citationsarXiv
Improving Speech-to-Speech Translation Through Unlabeled Text2210.14514v1 · Xuan-Phi Nguyen, Sravya Popuri, Changhan Wang et al.2022 · 6 citationsarXiv
Named Entity Detection and Injection for Direct Speech Translation2210.11981v2 · Marco Gaido, Yun Tang, Ilia Kulikov et al.2022 · 1 citationarXiv
Simple and Effective Unsupervised Speech Translation2210.10191v1 · Changhan Wang, Hirofumi Inaguma, Peng-Jen Chen et al.2022 · 12 citationsarXiv
Uncertainty Determines the Adequacy of the Mode and the Tractability of Decoding in Sequence-to-Sequence Models2204.00471v1 · Felix Stahlberg, Ilia Kulikov, Shankar Kumar2022 · 3 citationsarXiv
Characterizing and addressing the issue of oversmoothing in neural autoregressive sequence modeling2112.08914v2 · Ilia Kulikov, Maksim Eremeev, Kyunghyun Cho2021 · 4 citationsarXiv
Mode recovery in neural autoregressive sequence modeling2106.05459v1 · Ilia Kulikov, Sean Welleck, Kyunghyun Cho2021 · 0 citationsarXiv
Consistency of a Recurrent Language Model With Respect to Incomplete Decoding2002.02492v2 · Sean Welleck, Ilia Kulikov, Jaedeok Kim et al.2020 · 43 citationsarXiv
Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training1911.03860v2 · Margaret Li, Stephen Roller, Ilia Kulikov et al.2019 · 127 citationsarXiv
Neural Text Generation with Unlikelihood Training1908.04319v2 · Sean Welleck, Ilia Kulikov, Stephen Roller et al.2019 · 315 citationsarXiv
Multi-Turn Beam Search for Neural Dialogue Modeling1906.00141v2 · Ilia Kulikov, Jason Lee, Kyunghyun Cho2019 · 0 citationsarXiv
Importance of Search and Evaluation Strategies in Neural Dialogue Modeling1811.00907v3 · Ilia Kulikov, Alexander H. Miller, Kyunghyun Cho et al.2018 · 83 citationsarXiv
Career total: 55 works. 43 are in this corpus.
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