Постерная сессия (Poster session)

JellyBell at TextGraphs-17 Shared Task: Fusing Large Language Models with External Knowledge for Enhanced Question Answering

Julia Belikova, Evegeniy Beliakin, Vasily Konovalov

Toolken+: Improving LLM Tool Usage with Reranking and a Reject Option

Konstantin Yakovlev, Sergey Nikolenko, Andrey Bout

Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning

Alexey Skrynnik, Anton Andreychuk, Maria Nesterova, Konstantin Yakovlev, Aleksandr Panov

nlp_enjoyers at TextGraphs-17 Shared Task: Text-Graph Representations for Knowledge Graph Question Answering using all-MPNet

Nikita Kurdiukov, Viktoriia Zinkovich, Sergey Karpukhin, Pavel Tikhomirov

Tight and Efficient Upper Bound on Spectral Norm of Convolutional Layers

Ekaterina Grishina, Mikhail Gorbunov, Maxim Rakhuba

Linear Transformers with Learnable Kernel Functions are Better In-Context Models

Yaroslav Aksenov, Nikita Balagansky, Sofia Maria Lo Cicero Vaina, Boris Shaposhnikov, Alexey Gorbatovski, Daniil Gavrilov

Interaction-Force Transport Gradient Flows

Egor Gladin , Pavel Dvurechensky, Alexander Mielke, Jia-Jie Zhu

Dimension-free Structured Covariance Estimation

Nikita Puchkin, Maxim Rakhuba

Improving GFlowNets with Monte Carlo Tree Search

Nikita Morozov, Daniil Tiapkin, Sergey Samsonov, Alexey Naumov, Dmitry Vetrov

Generative Flow Networks as Entropy-Regularized RL

Daniil Tiapkin, Nikita Morozov, Alexey Naumov, Dmitry Vetrov

Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning

Sergey Samsonov, Eric Moulines, Qi-Man Shao, Zhuo-Song Zhang, Alexey Naumov

SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning

Paul Mangold, Sergey Samsonov, Safwan Labbi, Ilya Levin, Reda Alami, Alexey Naumov, Eric Moulines

Improved High-Probability Bounds for the Temporal Difference Learning Algorithm via Exponential Stability

Sergey Samsonov, Daniil Tiapkin, Alexey Naumov, Eric Moulines

Queuing dynamics of asynchronous Federated Learning

Louis Leconte, Matthieu Jonckheere, Sergey Samsonov, Eric Moulines

Adversarial Schrödinger Bridge Matching

Nikita Gushchin, Daniil Selikhanovych, Sergei Kholkin, Evgeny Burnaev, Alexander Korotin

Light and Optimal Schrödinger Bridge Matching

Nikita Gushchin, Sergei Kholkin, Evgeny Burnaev, Alexander Korotin

Light Schrödinger Bridge

Alexander Korotin, Nikita Gushchin, Evgeny Burnaev

Estimating Barycenters of Distributions with Neural Optimal Transport

Alexander Kolesov, Petr Mokrov, Igor Udovichenko, Milena Gazdieva, Gudmund Pammer, Evgeny Burnaev, Alexander Korotin

Energy-guided Entropic Neural Optimal Transport

Petr Mokrov, Alexander Korotin, Alexander Kolesov, Nikita Gushchin, Evgeny Burnaev

Neural Optimal Transport with General Cost Functionals

Arip Asadulaev, Alexander Korotin, Vage Egiazarian, Petr Mokrov, Evgeny Burnaev

Energy-Guided Continuous Entropic Barycenter Estimation for General Costs

Alexander Kolesov, Petr Mokrov, Igor Udovichenko, Milena Gazdieva, Gudmund Pammer, Anastasis Kratsios, Evgeny Burnaev, Alexander Korotin

Optimal Flow Matching: Learning Straight Trajectories in Just One Step

Nikita Kornilov, Petr Mokrov, Alexander Gasnikov, Alexander Korotin

Light Unbalanced Optimal Transport

Milena Gazdieva, Arip Asadulaev, Evgeny Burnaev, Alexander Korotin

Information Bottleneck Analysis of Deep Neural Networks via Lossy Compression

Ivan Butakov, Aleksander Tolmachev, Sofia Malanchuk, Anna Neopryatnaya, Alexey Frolov, Kirill Andreev

Mutual Information Estimation via Normalizing Flows

Ivan Butakov, Alexander Tolmachev, Sofia Malanchuk, Anna Neopryatnaya, Alexey Frolov

Scalar Function Topology Divergence: Comparing Topology of 3D Objects

Ilya Trofimov, Daria Voronkova, Eduard Tulchinskii, Evgeny Burnaev, and Serguei Barannikov

Acceleration Exists! Optimization Problems When Oracle Can Only Compare Objective Function Values

Aleksandr Lobanov, Alexander Gasnikov, Andrei Krasnov

Disentanglement Learning via Topology

Nikita Balabin, Daria Voronkova, Ilya Trofimov, Evgeny Burnaev, Serguei Barannikov

Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs

Gleb Mezentsev, Danil Gusak, Ivan Oseledets, Evgeny Frolov

RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential Recommenders

Danil Gusak, Gleb Mezentsev, Ivan Oseledets, Evgeny Frolov

LLMs to Replace Crowdsourcing For Parallel Data Creation: The Case of Text Detoxification

Daniil Moskovskiy, Sergey Pletenev, Alexander Panchenko

KazQAD: Kazakh Open-Domain Question Answering Dataset

Rustem Yeshpanov, Pavel Efimov, Leonid Boytsov, Ardak Shalkarbayuli, Pavel Braslavski

In-Context Reinforcement Learning for Variable Action Spaces

Viacheslav Sinii, Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Sergey Kolesnikov

Extreme Compression of Large Language Models via Additive Quantization

Vage Egiazarian, Andrei Panferov, Denis Kuznedelev, Elias Frantar, Artem Babenko, Dan Alistarh

RClicks: Realistic Click Simulation for Benchmarking Interactive Segmentation

Anton Antonov, Andrey Moskalenko, Denis Shepelev, Alexander Krapukhin, Konstantin Soshin, Anton Konushin, Vlad Shakhuro

Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Space

Tigran Ramazyan, Mikhail Hushchyn and Denis Derkach

A Modular Conditional Diffusion Framework for Image Reconstruction

Magauiya Zhussip Iaroslav Koshelev Stamatios Lefkimmiatis

Neural Potential Field for Obstacle-Aware Local Motion Planning

Muhammad Alhaddad, Konstantin Mironov, Aleksey Staroverov, Aleksandr Panov

DeepPavlov 1.0: Your Gateway to Advanced NLP Models Backed by Transformers and Transfer Learning

Maksim Savkin, Anastasia Voznyuk, Fedor Ignatov, Anna Korzanova, Dmitry Karpov, Alexander Popov, Vasily Konovalov

Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks

Dmitry Kovalev, Ekaterina Borodich, Alexander Gasnikov

SpecExec: Massively Parallel Speculative Decoding For Interactive LLM Inference on Consumer Devices

Ruslan Svirschevski, Avner May, Zhuoming Chen, Beidi Chen, Zhihao Jia, Max Ryabinin

HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach

Maxim Nikolaev, Mikhail Kuznetsov, Dmitry Vetrov, Aibek Alanov

Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps

Nikita Starodubcev, Mikhail Khoroshikh, Artem Babenko, Dmitry Baranchuk

Challenges of Generating Structurally Diverse Graphs

Fedor Velikonivtsev, Mikhail Mironov, Liudmila Prokhorenkova

The Devil is in the Details: StyleFeatureEditor for Detail-Rich StyleGAN Inversion and High Quality Image Editing

Denis Bobkov, Vadim Titov, Aibek Alanov, Dmitry Vetrov

Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability

Gubina, N., Dmitrenko, A., Solovev G., Yamshchikova, L., Petrov O., Lebedev, I., Serov, N., Kirgizov, G., Nikitin N., Vinogradov, V.

TabR: Tabular Deep Learning Meets Nearest Neighbors

Yury Gorishniy, Ivan Rubachev, Nikolay Kartashev, Daniil Shlenskii, Akim Kotelnikov, Artem Babenko

BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack

Yuri Kuratov, Aydar Bulatov, Petr Anokhin, Ivan Rodkin, Dmitry Igorevich Sorokin, Artyom Sorokin, Mikhail Burtsev

Unveiling the Potential of AI for Nanomaterial Morphology Prediction

Ivan Dubrovsky, Andrei Dmitrenko, Aleksei Dmitrenko, Nikita Serov, Vladimir Vinogradov

Self-Attentive Sequential recommendations with hyperbolic representation

Frolov Evgeny, Matveeva Tatyana, Mirvahabova Leyla, Oseledets Ivan

∇2 DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials

Kuzma Khrabrov, Anton Ber, Artem Tsypin, Konstantin Ushenin, Egor Rumiantsev, Alexander Telepov, Dmitry Protasov, Ilya Shenbin, Anton Alekseev, Mikhail Shirokikh, Sergey Nikolenko, Elena Tutubalina, Artur Kadurin

EAI: Emotional Decision-Making of LLMs in Strategic Games and Ethical Dilemmas

Mikhail Mozikov, Nikita Severin, Mikhail Baklashkin, Maria Glushanina, Ivan Nasonov, Valeria Bodishtianu, Daniil Orekhov, Ivan Makovetskiy, Vasily Lavrentyev, Pekhotin Vladislav, Akim Tsvigun, Denis Turdakov, Tatiana Shavrina, Andrey Savchenko, Ilya Makarov

Group and Shuffle: Efficient Structured Orthogonal Parametrization

Mikhail Gorbunov, Nikolay Yudin, Vera Soboleva, Aibek Alanov, Alexey Naumov, Maxim Rakhuba

Object-Centric Learning with Slot Mixture Module

Daniil Kirilenko, Vitaliy Vorobyov, Aleksey Kovalev, Aleksandr Panov

Lost in Translation: Chemical Language Models and the Misunderstanding of Molecule Structures

Veronika Ganeeva, Andrey Sakhovskiy, Kuzma Khrabrov, Andrey Savchenko, Artur Kadurin, Elena Tutubalina

Постерная сессия (Poster session)

JellyBell at TextGraphs-17 Shared Task: Fusing Large Language Models with External Knowledge for Enhanced Question Answering

Toolken+: Improving LLM Tool Usage with Reranking and a Reject Option

Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning

nlp_enjoyers at TextGraphs-17 Shared Task: Text-Graph Representations for Knowledge Graph Question Answering using all-MPNet

Tight and Efficient Upper Bound on Spectral Norm of Convolutional Layers

Linear Transformers with Learnable Kernel Functions are Better In-Context Models

Interaction-Force Transport Gradient Flows

Dimension-free Structured Covariance Estimation

Improving GFlowNets with Monte Carlo Tree Search

Generative Flow Networks as Entropy-Regularized RL

Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning

SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning

Improved High-Probability Bounds for the Temporal Difference Learning Algorithm via Exponential Stability

Queuing dynamics of asynchronous Federated Learning

Adversarial Schrödinger Bridge Matching

Light and Optimal Schrödinger Bridge Matching

Light Schrödinger Bridge

Estimating Barycenters of Distributions with Neural Optimal Transport

Energy-guided Entropic Neural Optimal Transport

Neural Optimal Transport with General Cost Functionals

Energy-Guided Continuous Entropic Barycenter Estimation for General Costs

Optimal Flow Matching: Learning Straight Trajectories in Just One Step

Light Unbalanced Optimal Transport

Information Bottleneck Analysis of Deep Neural Networks via Lossy Compression

Mutual Information Estimation via Normalizing Flows

Scalar Function Topology Divergence: Comparing Topology of 3D Objects

Acceleration Exists! Optimization Problems When Oracle Can Only Compare Objective Function Values

Disentanglement Learning via Topology

Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs

RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential Recommenders

LLMs to Replace Crowdsourcing For Parallel Data Creation: The Case of Text Detoxification

KazQAD: Kazakh Open-Domain Question Answering Dataset

In-Context Reinforcement Learning for Variable Action Spaces

Extreme Compression of Large Language Models via Additive Quantization

RClicks: Realistic Click Simulation for Benchmarking Interactive Segmentation

Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Space

A Modular Conditional Diffusion Framework for Image Reconstruction

Neural Potential Field for Obstacle-Aware Local Motion Planning

DeepPavlov 1.0: Your Gateway to Advanced NLP Models Backed by Transformers and Transfer Learning

Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks

SpecExec: Massively Parallel Speculative Decoding For Interactive LLM Inference on Consumer Devices

HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach

Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps

Challenges of Generating Structurally Diverse Graphs

The Devil is in the Details: StyleFeatureEditor for Detail-Rich StyleGAN Inversion and High Quality Image Editing

Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability

TabR: Tabular Deep Learning Meets Nearest Neighbors

BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack

Unveiling the Potential of AI for Nanomaterial Morphology Prediction

Self-Attentive Sequential recommendations with hyperbolic representation

∇2 DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials

EAI: Emotional Decision-Making of LLMs in Strategic Games and Ethical Dilemmas

Group and Shuffle: Efficient Structured Orthogonal Parametrization

Object-Centric Learning with Slot Mixture Module

Lost in Translation: Chemical Language Models and the Misunderstanding of Molecule Structures

Regularized Distribution Matching Distillation for One-step Unpaired Image-to-Image Translation

Guide-and-Rescale: Self-Guidance Mechanism for Effective Tuning-Free Real Image Editing

Gradual Optimization Learning for Conformational Energy Minimization

Towards Robust Full Low-bit Quantization of Super Resolution Networks

Uplift Modelling via Gradient Boosting

Learn Together Stop Apart: an Inclusive Approach to Ensemble Pruning

Inside Out: Emotional Multiagent Multimodal Dialogue Systems

GigaPevt: Multimodal Medical Assistant

Neural Click Models for Recommender Systems

IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics

Comparing the robustness of modern no-reference image- and video-quality metrics to adversarial attacks

Prompt Me One More Time: A Two-Step Knowledge Extraction Pipeline with Ontology-Based Verification

OneFormer3D: One Transformer for Unified Point Cloud Segmentation

From Variability to Stability: Advancing RecSys Benchmarking Practices

TETRIS: Towards Exploring the Robustness of Interactive Segmentation

Probabilistically Robust Watermarking of Neural Networks

ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering