6 papers
For Your Eyes Only: Evaluating Coordination Between Isolated Language Model Instances
Alexander Shirnin, Aleksey Kudelya
As model-generated content is increasingly consumed by other model instances in automated workflows, a practically important question arises: can a model embed a signal in natural…
Lacuna Inc. at SemEval-2026 Task 4: Structurally Gated State-Space Models for Disentangling Narrative Similarity
Aleksey Kudelya, Rafif Alshawi, Alexander Shirnin
In this paper, we present the Invariant-Variant Disentangled State-Space Model (IVD-SSM), our submission to SemEval-2026 Task 4 on Narrative Story Similarity and Narrative Represen…
Empaths at SemEval-2025 Task 11: Retrieval-Augmented Approach to Perceived Emotions Prediction
Lev Morozov, Aleksandr Mogilevskii, Alexander Shirnin
This paper describes EmoRAG, a system designed to detect perceived emotions in text for SemEval-2025 Task 11, Subtask A: Multi-label Emotion Detection. We focus on predicting the p…
Lacuna Inc. at SemEval-2025 Task 4: LoRA-Enhanced Influence-Based Unlearning for LLMs
Aleksey Kudelya, Alexander Shirnin
This paper describes LIBU (LoRA enhanced influence-based unlearning), an algorithm to solve the task of unlearning - removing specific knowledge from a large language model without…
Papilusion at DAGPap24: Paper or Illusion? Detecting AI-generated Scientific Papers
Nikita Andreev, Alexander Shirnin, Vladislav Mikhailov +1
This paper presents Papilusion, an AI-generated scientific text detector developed within the DAGPap24 shared task on detecting automatically generated scientific papers. We propos…
AIpom at SemEval-2024 Task 8: Detecting AI-produced Outputs in M4
Alexander Shirnin, Nikita Andreev, Vladislav Mikhailov +1
This paper describes AIpom, a system designed to detect a boundary between human-written and machine-generated text (SemEval-2024 Task 8, Subtask C: Human-Machine Mixed Text Detect…