Model of Evolutionary Emergence of Purposeful Adaptive Behavior. The Role of Motivation. - Mikhail S. Burtsev; Vladimir G. Red'ko; Roman V. Gusarev (ECAL, 2001)

Alife Model of Evolutionary Emergence of Purposeful Adaptive Behavior - Mikhail S. Burtsev; Vladimir G. Red'ko; Roman V. Gusarev (CoRR, 2001)

Measuring the Dynamics of Artificial Evolution. - Mikhail S. Burtsev (ECAL, 2003)

Theory of functional systems, adaptive critics and neural networks. - Vladimir G. Red'ko; Danil V. Prokhorov; Mikhail S. Burtsev (IJCNN, 2004)

Tracking the Trajectories of Evolution. - Mikhail S. Burtsev (Artif. Life, 2004)

Artificial Life Meets Anthropology: A Case of Aggression in Primitive Societies. - Mikhail S. Burtsev (ECAL, 2005)

Project "Animat Brain": Designing the Animat Control System on the Basis of the Functional Systems Theory. - Vladimir G. Red'ko; Konstantin V. Anokhin; Mikhail S. Burtsev; Alexander I. Manolov; Oleg P. Mosalov; Valentin A. Nepomnyashchikh; Danil V. Prokhorov (SAB ABiALS, 2006)

Simulation of the Evolution of Aging: Effects of Aggression and Kin-Recognition. - Svetlana Krivenko; Mikhail Burtsev 001 (ECAL, 2007)

Basic Principles of Adaptive Learning through Variation and Selection. - Mikhail S. Burtsev (ALIFE, 2008)

Learning drives the accumulation of adaptive complexity in simulated evolution. - Mikhail Burtsev 001; Konstantin V. Anokhin; Patrick Bateson (ALIFE, 2008)

Neuroevolution Results in Emergence of Short-Term Memory for Goal-Directed Behavior - Konstantin Lakhman; Mikhail Burtsev 001 (CoRR, 2012)

Neuroevolution results in emergence of short-term memory in multi-goal environment. - Konstantin Lakhman; Mikhail Burtsev 001 (GECCO, 2013)

Evolution, Development and Learning with Predictor Neural Networks. - Konstantin Lakhman; Mikhail Burtsev 001 (ALIFE, 2014)

Modeling of Mechanism of Plan Formation by New Caledonian Crows. - Vladimir G. Red'ko; Mikhail S. Burtsev (BICA, 2016)

Functional Systems Network Outperforms Q-learning in Stochastic Environment. - Artyom Y. Sorokin; Mikhail S. Burtsev (BICA, 2016)

Search-Oriented Conversational AI (SCAI). - Mikhail Burtsev 001; Aleksandr Chuklin; Julia Kiseleva; Alexey Borisov (ICTIR, 2017)

Application of a Hybrid Bi-LSTM-CRF model to the task of Russian Named Entity Recognition. - Anh Le The; Mikhail Y. Arkhipov; Mikhail S. Burtsev (CoRR, 2017)

DeepPavlov: Open-Source Library for Dialogue Systems. - Mikhail Burtsev 001; Alexander V. Seliverstov; Rafael Airapetyan; Mikhail Y. Arkhipov; Dilyara Baymurzina; Nickolay Bushkov; Olga Gureenkova; Taras Khakhulin; Yuri Kuratov; Denis Kuznetsov; Alexey Litinsky; Varvara Logacheva; et al. (ACL (4), 2018)

The Second Conversational Intelligence Challenge (ConvAI2). - Emily Dinan; Varvara Logacheva; Valentin Malykh; Alexander H. Miller; Kurt Shuster 001; Jack Urbanek; Douwe Kiela; Arthur Szlam; Iulian Serban; Ryan Lowe; Shrimai Prabhumoye; Alan W. Black; et al. (CoRR, 2019)

Continual and Multi-task Reinforcement Learning With Shared Episodic Memory. - Artyom Y. Sorokin; Mikhail S. Burtsev (CoRR, 2019)

Loss Landscape Sightseeing with Multi-Point Optimization. - Ivan Skorokhodov; Mikhail Burtsev 001 (CoRR, 2019)

Conversational Intelligence Challenge: Accelerating Research with Crowd Science and Open Source. - Mikhail Burtsev 001; Varvara Logacheva (AI Mag., 2020)

Goal-Oriented Multi-Task BERT-Based Dialogue State Tracker. - Pavel Gulyaev; Eugenia Elistratova; Vasily Konovalov; Yuri Kuratov; Leonid Pugachev; Mikhail Burtsev 001 (CoRR, 2020)

Memory Transformer. - Mikhail S. Burtsev; Grigory V. Sapunov (CoRR, 2020)

ConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ). - Mohammad Aliannejadi; Julia Kiseleva; Aleksandr Chuklin; Jeff Dalton 001; Mikhail Burtsev 001 (CoRR, 2020)

Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions. - Mohammad Aliannejadi; Julia Kiseleva; Aleksandr Chuklin; Jeff Dalton 001; Mikhail Burtsev 001 (EMNLP (1), 2021)

Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021. - Julia Kiseleva; Ziming Li 001; Mohammad Aliannejadi; Shrestha Mohanty; Maartje ter Hoeve; Mikhail Burtsev 001; Alexey Skrynnik; Artem Zholus; Aleksandr Panov; Kavya Srinet; Arthur Szlam; Yuxuan Sun 004; et al. (NeurIPS (Competition and Demos), 2021)

Interactive Grounded Language Understanding in a Collaborative Environment: Retrospective on Iglu 2022 Competition. - Julia Kiseleva; Alexey Skrynnik; Artem Zholus; Shrestha Mohanty; Negar Arabzadeh; Marc-Alexandre Côté; Mohammad Aliannejadi; Milagro Teruel; Ziming Li 001; Mikhail Burtsev 001; Maartje ter Hoeve; Zoya Volovikova; et al. (NeurIPS (Competition and Demos), 2021)

Short Text Clustering with Transformers. - Leonid Pugachev; Mikhail Burtsev 001 (CoRR, 2021)

Multi-Stream Transformers. - Mikhail Burtsev 001; Anna Rumshisky (CoRR, 2021)

NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment. - Julia Kiseleva; Ziming Li 001; Mohammad Aliannejadi; Shrestha Mohanty; Maartje ter Hoeve; Mikhail Burtsev 001; Alexey Skrynnik; Artem Zholus; Aleksandr I. Panov; Kavya Srinet; Arthur Szlam; Yuxuan Sun 004; et al. (CoRR, 2021)

Uncertainty Estimation of Transformer Predictions for Misclassification Detection. - Artem Vazhentsev; Gleb Kuzmin; Artem Shelmanov; Akim Tsvigun; Evgenii Tsymbalov; Kirill Fedyanin; Maxim Panov; Alexander Panchenko; Gleb Gusev; Mikhail Burtsev 001; Manvel Avetisian; Leonid Zhukov (ACL (1), 2022)

Active Learning for Abstractive Text Summarization. - Akim Tsvigun; Ivan Lysenko; Danila Sedashov; Ivan Lazichny; Eldar Damirov; Vladimir Karlov; Artemy Belousov; Leonid Sanochkin; Maxim Panov; Alexander Panchenko; Mikhail Burtsev 001; Artem Shelmanov (EMNLP (Findings), 2022)

Attention Understands Semantic Relations. - Anastasia Chizhikova; Sanzhar Murzakhmetov; Oleg Serikov; Tatiana Shavrina; Mikhail Burtsev 001 (LREC, 2022)

Recurrent Memory Transformer. - Aydar Bulatov; Yuri Kuratov; Mikhail Burtsev 001 (NeurIPS, 2022)

Explain My Surprise: Learning Efficient Long-Term Memory by predicting uncertain outcomes. - Artyom Y. Sorokin; Nazar Buzun; Leonid Pugachev; Mikhail Burtsev 001 (NeurIPS, 2022)

Complexity of symbolic representation in working memory of Transformer correlates with the complexity of a task. - Alsu Sagirova; Mikhail Burtsev 001 (Cogn. Syst. Res., 2022)

Knowledge Distillation of Russian Language Models with Reduction of Vocabulary. - Alina Kolesnikova; Yuri Kuratov; Vasily Konovalov; Mikhail Burtsev 001 (CoRR, 2022)

IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022. - Julia Kiseleva; Alexey Skrynnik; Artem Zholus; Shrestha Mohanty; Negar Arabzadeh; Marc-Alexandre Côté; Mohammad Aliannejadi; Milagro Teruel; Ziming Li 001; Mikhail Burtsev 001; Maartje ter Hoeve; Zoya Volovikova; et al. (CoRR, 2022)

Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructions. - Alexey Skrynnik; Zoya Volovikova; Marc-Alexandre Côté; Anton Voronov; Artem Zholus; Negar Arabzadeh; Shrestha Mohanty; Milagro Teruel; Ahmed Awadallah 001; Aleksandr Panov; Mikhail Burtsev 001; Julia Kiseleva (CoRR, 2022)

Collecting Interactive Multi-modal Datasets for Grounded Language Understanding. - Shrestha Mohanty; Negar Arabzadeh; Milagro Teruel; Yuxuan Sun 004; Artem Zholus; Alexey Skrynnik; Mikhail Burtsev 001; Kavya Srinet; Aleksandr Panov; Arthur Szlam; Marc-Alexandre Côté; Julia Kiseleva (CoRR, 2022)

A review of neural architecture search. - Dilyara Baymurzina; Eugene A. Golikov; Mikhail Burtsev 001 (Neurocomputing, 2022)

Hybrid Uncertainty Quantification for Selective Text Classification in Ambiguous Tasks. - Artem Vazhentsev; Gleb Kuzmin; Akim Tsvigun; Alexander Panchenko; Maxim Panov; Mikhail Burtsev 001; Artem Shelmanov (ACL (1), 2023)

DeepPavlov Dream: Platform for Building Generative AI Assistants. - Diliara Zharikova; Daniel Kornev; Fedor Ignatov; Maxim Talimanchuk; Dmitry Evseev; Ksenya Petukhova; Veronika Smilga; Dmitry Karpov; Yana Shishkina; Dmitry Kosenko; Mikhail Burtsev 001 (ACL (demo), 2023)

Better Together: Enhancing Generative Knowledge Graph Completion with Language Models and Neighborhood Information. - Alla Chepurova; Aydar Bulatov; Yuri Kuratov; Mikhail Burtsev 001 (EMNLP (Findings), 2023)

Uncertainty Guided Global Memory Improves Multi-Hop Question Answering. - Alsu Sagirova; Mikhail Burtsev 001 (EMNLP, 2023)

Scaling Transformer to 1M tokens and beyond with RMT. - Aydar Bulatov; Yuri Kuratov; Mikhail S. Burtsev (CoRR, 2023)

Monolingual and Cross-Lingual Knowledge Transfer for Topic Classification. - Dmitry Karpov; Mikhail Burtsev 001 (CoRR, 2023)

Beyond Attention: Breaking the Limits of Transformer Context Length with Recurrent Memory. - Aydar Bulatov; Yuri Kuratov; Yermek Kapushev; Mikhail Burtsev 001 (AAAI, 2024)

BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack. - Yuri Kuratov; Aydar Bulatov; Petr Anokhin; Ivan Rodkin; Dmitry Sorokin; Artyom Y. Sorokin; Mikhail Burtsev 001 (NeurIPS, 2024)

In Search of Needles in a 11M Haystack: Recurrent Memory Finds What LLMs Miss. - Yuri Kuratov; Aydar Bulatov; Petr Anokhin; Dmitry Sorokin; Artyom Y. Sorokin; Mikhail Burtsev 001 (CoRR, 2024)

AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents. - Petr Anokhin; Nikita Semenov; Artyom Y. Sorokin; Dmitry Evseev; Mikhail Burtsev 001; Evgeny Burnaev (CoRR, 2024)

Associative Recurrent Memory Transformer. - Ivan Rodkin; Yuri Kuratov; Aydar Bulatov; Mikhail Burtsev 001 (CoRR, 2024)

Associative Learning and Active Inference. - Petr Anokhin; Artyom Y. Sorokin; Mikhail Burtsev 001; Karl J. Friston (Neural Comput., 2024)

Cramming 1568 Tokens into a Single Vector and Back Again: Exploring the Limits of Embedding Space Capacity. - Yuri Kuratov; Mikhail Arkhipov; Aydar Bulatov; Mikhail Burtsev 001 (ACL (1), 2025)

SRMT: Shared Memory for Multi-agent Lifelong Pathfinding. - Alsu Sagirova; Yuri Kuratov; Mikhail Burtsev 001 (CoRR, 2025)