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20232026
most citedGeopolitical biases in LLMs: what are the "good" and the "bad" countries according to contemporary language models

2 citations · 9 across the 51 of their papers we have counts for

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15 papers · 1 filter

cs.CV2026

OrthoFuse: Training-free Riemannian Fusion of Orthogonal Style-Concept Adapters for Diffusion Models

Ali Aliev, Kamil Garifullin, Nikolay Yudin +5

In a rapidly growing field of model training there is a constant practical interest in parameter-efficient fine-tuning and various techniques that use a small amount of training da…

cs.CV2026

CoMa: Contextual Massing Generation with Vision-Language Models

Evgenii Maslov, Valentin Khrulkov, Anastasia Volkova +3

The conceptual design phase in architecture and urban planning, particularly building massing, is complex and heavily reliant on designer intuition and manual effort. To address th…

cs.CV2025

T-MLA: A targeted multiscale log-exponential attack framework for neural image compression

Nikolay I. Kalmykov, Razan Dibo, Kaiyu Shen +4

Neural image compression (NIC) has become the state-of-the-art for rate-distortion performance, yet its security vulnerabilities remain significantly less understood than those of…

cs.CV2025

Random Direct Preference Optimization for Radiography Report Generation

Valentin Samokhin, Boris Shirokikh, Mikhail Goncharov +5

Radiography Report Generation (RRG) has gained significant attention in medical image analysis as a promising tool for alleviating the growing workload of radiologists. However, de…

cs.CV2025

Speech-to-LaTeX: New Models and Datasets for Converting Spoken Equations and Sentences

Dmitrii Korzh, Dmitrii Tarasov, Artyom Iudin +6

Conversion of spoken mathematical expressions is a challenging task that involves transcribing speech into a strictly structured symbolic representation while addressing the ambigu…

cs.CV2025

Listener-Rewarded Thinking in VLMs for Image Preferences

Alexander Gambashidze, Li Pengyi, Matvey Skripkin +5

Training robust and generalizable reward models for human visual preferences is essential for aligning text-to-image and text-to-video generative models with human intent. However,…