Preprint2025
Sharp: Steering hallucination in lvlms via representation engineering
Unknown
SHARP is a representation-level intervention framework that modulates hallucination in LVLMs by steering internal representations.
0Jan 1, 2025
AI Research
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4 papersPreprint2026
Unlocking multilingual reasoning capability of llms and lvlms through representation engineering
Unknown
Proposes MRRE, a training-free inference-time method using representation engineering to enhance multilingual reasoning in LLMs and LVLMs without additional training data.
0Jan 1, 2026Reasoning
Preprint2024
Effectiveness assessment of recent large vision-language models
Unknown
This paper assesses the effectiveness of recent large vision-language models (LVLMs) in achieving artificial general intelligence, focusing on their performance across various tasks.
0Jan 1, 2024Computer Vision
Preprint2026
UltraViT: Latency-Optimized On-device Vision Encoder for Large Vision-Language Models
Ioannis Maniadis Metaxas, Adrian Bulat, Alberto Baldrati, et al.
UltraViT is a latency-optimized vision encoder for LVLMs using a pyramidal architecture with heterogeneous spatial mixers and a two-stage generative pre-training strategy, achieving 1.7x speedup on-device.
0Jul 25, 2026MultimodalAlignment
arXiv