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Found 6 papers, 2 papers with code
Learning to Poison Large Language Models During Instruction Tuning
The advent of Large Language Models (LLMs) has marked significant achievements in language processing and reasoning capabilities.
Hijacking Large Language Models via Adversarial In-Context Learning
In-context learning (ICL) has emerged as a powerful paradigm leveraging LLMs for specific tasks by utilizing labeled examples as demonstrations in the precondition prompts.
Efficient Bottom-Up Synthesis for Programs with Local Variables
Our algorithm can reduce the space of programs with local variables.
DGP-Net: Dense Graph Prototype Network for Few-Shot SAR Target Recognition
The inevitable feature deviation of synthetic aperture radar (SAR) image due to the special imaging principle (depression angle variation) leads to poor recognition accuracy, especially in few-shot learning (FSL).
On the restriction formula
Let $\varphi$ be a quasi-psh function on a complex manifold $X$ and let $S\subset X$ be a complex submanifold.
Complex Variables
Context-aware Attention Model for Coreference Resolution
Coreference resolution is an important task for gaining more complete understanding about texts by artificial intelligence.
