Summary of Cliqueparcel: An Approach For Batching Llm Prompts That Jointly Optimizes Efficiency and Faithfulness, by Jiayi Liu et al.
CliqueParcel: An Approach For Batching LLM Prompts That Jointly Optimizes Efficiency And Faithfulnessby Jiayi Liu,…
Summary of Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap For Prompt-based Large Language Models and Beyond, by Xinyu Wang et al.
Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models…
Summary of T-stitch: Accelerating Sampling in Pre-trained Diffusion Models with Trajectory Stitching, by Zizheng Pan et al.
T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitchingby Zizheng Pan, Bohan Zhuang, De-An…
Summary of From Self-attention to Markov Models: Unveiling the Dynamics Of Generative Transformers, by M. Emrullah Ildiz et al.
From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformersby M. Emrullah Ildiz, Yixiao…
Summary of Inductive Graph Alignment Prompt: Bridging the Gap Between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective, by Yuchen Yan et al.
Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral…
Summary of Trap: Targeted Random Adversarial Prompt Honeypot For Black-box Identification, by Martin Gubri et al.
TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identificationby Martin Gubri, Dennis Ulmer, Hwaran Lee,…
Summary of Promptkd: Distilling Student-friendly Knowledge For Generative Language Models Via Prompt Tuning, by Gyeongman Kim et al.
PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuningby Gyeongman Kim, Doohyuk Jang,…
Summary of Zero Shot Vlms For Hate Meme Detection: Are We There Yet?, by Naquee Rizwan et al.
Zero shot VLMs for hate meme detection: Are we there yet?by Naquee Rizwan, Paramananda Bhaskar,…
Summary of Self-amplify: Improving Small Language Models with Self Post Hoc Explanations, by Milan Bhan and Jean-noel Vittaut and Nicolas Chesneau and Marie-jeanne Lesot
Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanationsby Milan Bhan, Jean-Noel Vittaut, Nicolas…
Summary of Spml: a Dsl For Defending Language Models Against Prompt Attacks, by Reshabh K Sharma and Vinayak Gupta and Dan Grossman
SPML: A DSL for Defending Language Models Against Prompt Attacksby Reshabh K Sharma, Vinayak Gupta,…