AINL Conference

Artificial Intelligence and Natural Language conference

[AINL Conference @ainlevent]

Leapfrog: LEARNING TO SKIP LAYERS WITH REWARD-DRIVEN ROUTING — Maxim Nikitin; Valentin Malykh

#AINL2026 #NLP
📺 https://t.co/PCM3lJLngN
▶️ https://t.co/OyCawP3se8

[AINL Conference @ainlevent]

An Overview of Adaptive RAG Methods — Alexander Panchenko

#AINL2026 #NLP
📺 https://t.co/NCHxyaBjyQ
▶️ https://t.co/kmO73jirWN

[AINL Conference @ainlevent]

Localized RAG Evaluation for Russian LLMs: A Comparative Study on CRAG and a Russian CRAG-like Dataset — Oleg Ivanov; Anton Titorenko

#AINL2026 #NLP
📺 https://t.co/h1tXfb4AQr
▶️ https://t.co/JnywBjFKjK

[AINL Conference @ainlevent]

Benchmarking 15 Open LLMs on sud-resh-benchmark with LLM-as-a-Judge — Anton Kostin

#AINL2026 #NLP
📺 https://t.co/Fwcu21e5LK
▶️ https://t.co/u5ekx2vAR5

[AINL Conference @ainlevent]

What Proto-Tokens Encode: Disentangling Semantics and Syntax in One-Step Text Reconstruction — Ivan Bondarenko

#AINL2026 #NLP
📺 https://t.co/sIIMTAXFQn
▶️ https://t.co/cHrv5k1SUn

[AINL Conference @ainlevent]

An Annotation Scheme and Classifier for Personal Facts in Dialogue — Konstantin Zaitsev

#AINL2026 #NLP
📺 https://t.co/8Oh9Wvczo8
▶️ https://t.co/dC6h3GjHnU

[AINL Conference @ainlevent]

Cross-Lingual Jailbreak Detection via Semantic Codebooks — Shirin Alanova

#AINL2026 #NLP
📺 https://t.co/mjlldvbJFv
▶️ https://t.co/i09yvaziq0

[AINL Conference @ainlevent]

CODING THE UPDATE IN SEMANTIC MASKS: CONDITIONAL CODELENGTH FOR CHANGE DETECTION — Alexander Topolnitskii

#AINL2026 #NLP
📺 https://t.co/pT1c1aDTNv
▶️ https://t.co/yjwHG1YOEI

[AINL Conference @ainlevent]

GOING VIRAL: LLM-BASED MODELING OF ECONOMIC NARRATIVES — Daria Liutova; Mikhail Lazarchik; Artem Kamentsev; Timur Abdullaev; Asel Karakuchukova; Daniil Averkov

#AINL2026 #NLP
📺 https://t.co/DbIJcqOumV

[AINL Conference @ainlevent]

Russian Instruction-Aware Text Retrieval: A Synthetic Dataset, Benchmark, and Adaptation — Vladimir Luzin

#AINL2026 #NLP
📺 https://t.co/fAeWm2TTRC
▶️ https://t.co/1X8Kp8q6Nw

[AINL Conference @ainlevent]

A multi-head-based architecture for effective morphological tagging in russian with open dictionary

#AINL2026 #NLP
📺 https://t.co/asCVE4iMvI
▶️ https://t.co/Emj5XFq5Ii

[AINL Conference @ainlevent]

StateFuse: Deterministic Conflict-Preserving Memory for Multi-Agent Systems — Sergey Volkov

#AINL2026 #NLP
📺 https://t.co/sh1fX3V74g
▶️ https://t.co/Ozwek5ERHg

[AINL Conference @ainlevent]

Data Filtering Methods for Training Language Models — Egor Shevchenko; Elena Bruches

#AINL2026 #NLP
📺 https://t.co/Mrb8eXSbuv
▶️ https://t.co/uRPMIaPKOH

[AINL Conference @ainlevent]

FILTERING AND DISCOVERING SCIENTIFIC DISCOURSE ON TELEGRAM: A PIPELINE FOR MACHINE LEARNING ARTICLE OVERVIEWS — Alexey Shitenko

#AINL2026 #NLP
📺 https://t.co/YTcDyjlkjk
▶️ https://t.co/t1b9KDIrn6

[AINL Conference @ainlevent]

Four Faces of Homography in Russian: Disambiguating Them All with a Single TTS-Ready Model — Maria Nagornaya

#AINL2026 #NLP
📺 https://t.co/M84b3nUovF
▶️ https://t.co/LLoKPk5tT6

[AINL Conference @ainlevent]

Cascading Failures in Multi-Agent LLM Systems — Vera Krasnobaeva

#AINL2026 #NLP
📺 https://t.co/UwLkB0SupD
▶️ https://t.co/0EbMOqkx80

[AINL Conference @ainlevent]

AUTOMATED DIAGNOSTIC PIPELINE FOR PEDIATRIC OPTIC PATHWAY GLIOMAS USING DEEP LEARNING ON MULTI-PROJECT DATA — Ramil Zainullin

#AINL2026 #NLP
📺 https://t.co/dsmsVGlklB
▶️ https://t.co/O99Ll3yMd9

[AINL Conference @ainlevent]

Little Brains, Big Feats: Exploring Compact Language Models — Ivan Chernov

#AINL2026 #NLP
📺 https://t.co/wovTMHPvxL
▶️ https://t.co/Q9IPIgtxYk

[AINL Conference @ainlevent]

Language steering in latent space to mitigate unintended code-switching — Andrey Goncharov; Nikolai Kondusov; Alexey Zaytsev

#AINL2026 #NLP
📺 https://t.co/J6LnXJilgH
▶️ https://t.co/LFZlWrnO0h

[AINL Conference @ainlevent]

Jacobian Analysis of a Recurrent Transformer Block — Dmitrii Vasilenko; Ilia Stepanov; Vadim Kasiuk; Gleb Karpeev; Andrey Grabovoy

#AINL2026 #NLP
📺 https://t.co/CQfWeLfgx8
▶️ https://t.co/8D8bcAG9eK