xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics
Paper
•
2406.14553
•
Published
•
2
Mikhail Seleznyov
myyycroft
AI & ML interests
NLP, Time series forecasting, Multimodal models.
Recent Activity
upvoted
a
paper
3 days ago
Multimodal Evaluation of Russian-language Architectures
upvoted
a
paper
about 1 month ago
Language Models Model Language
upvoted
a
paper
about 1 month ago
Emergent Misalignment via In-Context Learning: Narrow in-context
examples can produce broadly misaligned LLMs
Organizations
authored
4
papers
3 months ago
ViSTa Dataset: Do vision-language models understand sequential tasks?
Paper
•
2411.13211
•
Published
Obfuscated Activations Bypass LLM Latent-Space Defenses
Paper
•
2412.09565
•
Published
When Punctuation Matters: A Large-Scale Comparison of Prompt Robustness Methods for LLMs
Paper
•
2508.11383
•
Published
•
40