2 papers
cs.CL2026
Do Value Vectors in Deep Layers Need Context from the Residual Stream?
Muyu He, Yuchen Liu, Qingya Huang +1
The success of the transformer architecture is in large part due to its use of attention layers. An attention layer follows the standard neural network paradigm: it takes the resid…
cs.SE2026
Beyond Functional Correctness: Exploring Hallucinations in LLM-Generated Code
Fang Liu, Yang Liu, Lin Shi +5
The rise of Large Language Models (LLMs) has significantly advanced various applications on software engineering tasks, particularly in code generation. Despite the promising perfo…