3 papers
cs.CL2026
LLLMs: A Data-Driven Survey of Evolving Research on Limitations of Large Language Models
Aida Kostikova, Zhipin Wang, Deidamea Bajri +3
Large language model (LLM) research has grown rapidly, along with increasing concern about their limitations. In this survey, we conduct a data-driven, semi-automated review of res…
cs.CL2025
Zhyper: Factorized Hypernetworks for Conditioned LLM Fine-Tuning
M. H. I. Abdalla, Zhipin Wang, Christian Frey +2
Large Language Model (LLM) conditioning refers to instructing an LLM to generate content in accordance with the norms and values of a specific culture, beliefs of a particular poli…
cs.CL2025
DeepSeek-R1 vs. o3-mini: How Well can Reasoning LLMs Evaluate MT and Summarization?
Daniil Larionov, Sotaro Takeshita, Ran Zhang +5
Reasoning-enabled large language models (LLMs) excel in logical tasks, yet their utility for evaluating natural language generation remains unexplored. This study systematically co…