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EAI: Emotional Decision-Making of LLMs in Strategic Games and Ethical Dilemmas
P. 13927–13981.
Mozikov M., Severin N., Bodishtianu V., Glushanina M., Nasonov I., Orekhov D., Pekhotin V., Makovetskiy I., Baklashkin M., Lavrentyev V., Tsvigun A., Turdakov D., Shavrina T., Savchenko A., Makarov I.
Tsigeman-Gorenko E., Sivov A., Mararitsa L. et al., Psychology in Russia: State of the Art 2026 Vol. 19 No. 1 P. 32 – 55
Background. The inconsistent evidence regarding nostalgia’s affective outcomes suggests that its effects may not be uniform, but contingent on individual characteristics, a possibility that has received limited empirical attention.
Objective. To examine how induced nostalgia influences positive and negative affect, while accounting for age, gender, and overall well-being.
Design. A sample of 122 participants (balanced by gender ...
Added: September 29, 2026
Silakov D., Системный администратор 2026 С. 84–89
Social media users rarely think about what lies behind the beautiful facade of activity feeds, teeming with photos and video stories. However, the widespread popularity of such platforms generates a huge amount of all sorts of content that needs to be stored, processed quickly, and displayed, and in the era of AI, it also needs ...
Added: September 28, 2026
Ravedovskaya U., Didenko A., Филатова А. А., Journal of Teaching English for Specific and Academic Purposes 2025 Vol. 13 No. 3 P. 529–538
Emergence of generative artificial intelligence (GenAI) is revolutionizing teaching and evaluation in higher education. Early adopters have already demonstrated how large language model (LLM) conversational agents can serve as on-demand tutors, yet empirical evidence regarding their effectiveness in facilitating conceptual learning in non-computational domains is scant. Based on constructivist learning theory, this paper presents a ...
Added: September 18, 2026
Vigoda-Gadot E., Levitats Z., Styrin E. M., Asia Pacific Journal of Public Administration 2026 P. 1–23
Governance is rapidly digitising, yet how citizens’ emotions towards algorithmic policy decision-making relate to their trust in governance institutions remains understudied. Drawing on the affect-as-information model, we argue that emotions constitute a distinct input into institutional trust judgements, operating both directly and by conditioning the weight of cognitive evaluations. We test this argument with a ...
Added: August 7, 2026
Cherednichenko O., Herbert A., Poptsova M., Computational and Structural Biotechnology Journal 2025 Vol. 27 P. 992–1000
Large language models (LLMs) in genomics have successfully predicted various functional genomic elements. While their performance is typically evaluated using genomic benchmark datasets, it remains unclear which LLM is best suited for specific downstream tasks, particularly for generating whole-genome annotations. Current LLMs in genomics fall into three main categories: transformer-based models, long convolution-based models, and state-space models ...
Added: June 19, 2026
Severin N., Kartushov D., Urzhumov V. et al., , in: Advances in Information Retrieval: 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 – April 2, 2026, Proceedings, Part II. (LNCS, volume 16484).: Cham: Springer Publishing Company, 2026. P. 508–517.
Sequential recommender systems have achieved significant success in modeling temporal user behavior but remain limited in cap-turing rich user semantics beyond interaction patterns. Large Language Models (LLMs) present opportunities to enhance user understanding with their reasoning capabilities, yet existing integration approaches cre-ate prohibitive inference costs in real time. To address these limitations, we present a ...
Added: June 18, 2026
Abdullaeva I., Karpukhin I., Filatov A. et al., IEEE Access 2026 Vol. 14 P. 59390–59408
Event sequences, a specialized type of tabular data annotated with timestamps, are prevalent across practical domains such as finance, retail, social networks, and healthcare. Despite the importance of event sequence modeling and analysis, there has been little effort to adapt Large Language Models (LLMs) to this domain. In this paper, we propose a novel solution ...
Added: June 16, 2026
Vorchik A., / SSRN. Серия Social Science Research Network "Social Science Research Network". 2026.
This work is devoted to a theoretical explanation of the Easterlin paradox, according to which long-term economic growth does not make average level of people's happiness increasing. By happiness, we mean the intensity of emotions people experience while comparing their new income with its expected value, or the target income with its original value. In the first case, ...
Added: May 31, 2026
JOURNAL OF EDUCATIONAL TECHNOLOGY DEVELOPMENT AND EXCHANGE 2026 Vol. 19 No. 2 P. 141–169
Educational assessments, from low-stakes classroom tests to high-stakes national examinations, require item pools that are valid, fair, and secure. Automated Item Generation (AIG) aims to efficiently produce large pools of calibrated test items. This paper adopts a two-part design: (1) a brief historical mapping situating LLM-based AIG within the broader AIG trajectory; and (2) a ...
Added: May 5, 2026
Vladimir Bogachev, Aletov V., Alexander Molozhavenko et al., , in: The Fourteenth International Conference on Learning Representations (ICLR 2026).: ICLR, 2026. Ch. 20503 P. 1–26.
This work presents a novel, fully Riemannian framework for Low-Rank Adaptation (LoRA) that geometrically treats low-rank adapters by optimizing them directly on the fixed-rank manifold. This formulation eliminates the parametrization ambiguity present in standard Euclidean optimizers. Our framework integrates three key components to achieve this: (1) we derive Riemannion, a new Riemannian optimizer on the fixed-rank ...
Added: April 29, 2026
Dvoynikova A., Karpov A., , in: Компьютерная лингвистика и интеллектуальные технологииВып. 22.: М.: Изд-во РГГУ, 2023. P. 51–61.
This article describes solutions to several problems: CMU-MOSEI database preprocessing to improve data quality and bimodal multitask classification of emotions and sentiment. With the help of experimental studies, representative features for acoustic and linguistic information are identified among pretrained neural networks with Transformer architecture. The most representative features for the analysis of emotions and sentiments ...
Added: April 25, 2026
Сулейкин А. С., Сорокина В., Пятецкий В. Е., , in: 2025 7th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency.: [б.и.], 2025. P. 748–753.
Effective metadata management is fundamental to data governance, ensuring that data assets are discoverable, understandable, and usable across the enterprise. However, traditional metadata systems often remain purely technical, describing structures without conveying business meaning. This disconnect — known as the semantic gap — limits the interpretability and value of metadata for business users. To address ...
Added: April 17, 2026
Vissoky G., Vigoda-Gadot E., Styrin E. M., Public Administration Review 2026 P. 1–11
We propose an interdisciplinary theoretical framework that integrates insights from political science, public administration, organizational theory, economics, psychology, sociology, and cognitive science to better understand the role of emotions in governance in the digital age. We argue that citizens' sentiments and emotional responses are central to their relationships with government institutions and bureaucracies. Building on bounded ...
Added: April 16, 2026
Vorchik A., / Social Science Research Network. Серия SSRN Working Paper Series "SSRN Working Paper Series". 2026.
This article is devoted to the phenomenon of intrinsic motivation, to understand which two models are proposed. We study how positive/negative intrinsic motivation to work (experienced utility) affects worker's individual labour supply (model I) and the amount of effort they exert (model II). In model I, we use intrinsic motivation to explain the positive/negative slope ...
Added: March 15, 2026
Shepelenko A., Kosonogov V., Shestakova A., Frontiers in Psychology 2026 Vol. 17 Article 1713462
Introduction:
Affective computing (AC) is increasingly used to study emotional processes underlying decision-making, yet its methodological validity in capturing spontaneous emotional responses and their behavioral relevance remains debated. In particular, it is unclear how facial obstructions and baseline correction affect the accuracy of AC-based facial emotion measures in capturing emotion–behavior relationships.
Methods:
The predictive validity of AC-based facial ...
Added: February 12, 2026
Faul B., Галактика медиа: журнал медиа исследований 2025 Т. 7 № 4 С. 174 – 197
The article addresses a key challenge to moral justification in normative ethics - the relationship between emotions and retributive moral judgments. Retributivism holds that there are normative reasons to reward or punish individuals on the basis of merit, independent of consequences. A common objection argues that such beliefs are grounded in retributive emotions, which are ...
Added: January 27, 2026
Karavaeva E., Vasilevsky V., Ланин Г. М. et al., Труды Института системного программирования РАН 2025 Т. 37 № 4 С. 175–190
The ongoing digitalization of education requires new ways of presenting information and attention retention mechanisms. The aim of the presented work is to propose a solution for implementing a large language model, which will interactively generate prompts of different types, within an e-learning course on programming. The main approaches are the analysis of existing relatively ...
Added: December 25, 2025
David Arteaga, Poptsova M., Computational and Structural Biotechnology Journal 2026 Vol. 31 P. 82–93
Accurate predictions and large-scale identification of protein-protein interactions (PPIs) are crucial for understanding their inherent biological mechanisms and protein functions in virtually all biological processes. Nowadays, graph-based deep learning models have made significant contributions in modeling proteins with physicochemical and geometric features. However, most of these models rely on conventional graph construction methods, such as ...
Added: December 22, 2025
Kurakin D., Sociological forum 2025 P. 1–12
The role of emotion in meaning-making remains undertheorized in cultural sociology. This article argues that emotions and affect are intrinsic to meaning-making and proposes cathexis—the attachment of emotions generated in social interaction to objects, symbols, and ideas—as the fundamental mechanism by which emotions co-constitute cultural meanings. Durkheim implied this constitutive role of affect in his theory ...
Added: December 18, 2025
Blagoveshchensky E., Луков М. Ю., Барцева К. et al., Sixth International Conference Neurotechnologies and Neurointerfaces (CNN), Kaliningrad, Russian Federation, IEEE Xplore 2024 P. 22–24
To test a person's psycho-emotional state, various methods are used, one of which is a reaction to an emotional video sequence. Such a reaction can make it possible to assess the degree of a person's involvement in certain emotional events. However, there are few methods to assess psycho-emotional status objectively. One of the sensitive markers ...
Added: December 11, 2025
Sviridov I., Miftakhova A., Tereshchenko A. et al., , in: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP).: Association for Computational Linguistics, 2025. Ch. 1353 P. 26625–26665.
Though Large Vision-Language Models (LVLMs) are being actively explored in medicine, their ability to conduct complex real-world telemedicine consultations combining accurate diagnosis with professional dialogue remains underexplored. This paper presents 3MDBench (Medical Multimodal Multi-agent Dialogue Benchmark), an open-source framework for simulating and evaluating LVLM-driven telemedical consultations. 3MDBench simulates patient variability through temperament-based Patient Agent and evaluates diagnostic accuracy and dialogue quality ...
Added: November 16, 2025