Summary of Explorations Of Self-repair in Language Models, by Cody Rushing et al.
Explorations of Self-Repair in Language Modelsby Cody Rushing, Neel NandaFirst submitted to arxiv on: 23…
Summary of Transflower: An Explainable Transformer-based Model with Flow-to-flow Attention For Commuting Flow Prediction, by Yan Luo et al.
TransFlower: An Explainable Transformer-Based Model with Flow-to-Flow Attention for Commuting Flow Predictionby Yan Luo, Zhuoyue…
Summary of Smoothed Graph Contrastive Learning Via Seamless Proximity Integration, by Maysam Behmanesh et al.
Smoothed Graph Contrastive Learning via Seamless Proximity Integrationby Maysam Behmanesh, Maks OvsjanikovFirst submitted to arxiv…
Summary of Let’s Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models, By Shunyu Liu et al.
Let’s Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Modelsby Shunyu Liu, Jie…
Summary of Attention-guided Masked Autoencoders For Learning Image Representations, by Leon Sick et al.
Attention-Guided Masked Autoencoders For Learning Image Representationsby Leon Sick, Dominik Engel, Pedro Hermosilla, Timo RopinskiFirst…
Summary of Interpreting Context Look-ups in Transformers: Investigating Attention-mlp Interactions, by Clement Neo et al.
Interpreting Context Look-ups in Transformers: Investigating Attention-MLP Interactionsby Clement Neo, Shay B. Cohen, Fazl BarezFirst…
Summary of Multimodal Transformer with a Low-computational-cost Guarantee, by Sungjin Park and Edward Choi
Multimodal Transformer With a Low-Computational-Cost Guaranteeby Sungjin Park, Edward ChoiFirst submitted to arxiv on: 23…
Summary of Stop Reasoning! When Multimodal Llm with Chain-of-thought Reasoning Meets Adversarial Image, by Zefeng Wang et al.
Stop Reasoning! When Multimodal LLM with Chain-of-Thought Reasoning Meets Adversarial Imageby Zefeng Wang, Zhen Han,…
Summary of Mobilellm: Optimizing Sub-billion Parameter Language Models For On-device Use Cases, by Zechun Liu et al.
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Casesby Zechun Liu, Changsheng Zhao, Forrest…
Summary of Boosting Gets Full Attention For Relational Learning, by Mathieu Guillame-bert and Richard Nock
Boosting gets full Attention for Relational Learningby Mathieu Guillame-Bert, Richard NockFirst submitted to arxiv on:…