Summary of Interpreting Affine Recurrence Learning in Gpt-style Transformers, by Samarth Bhargav et al.
Interpreting Affine Recurrence Learning in GPT-style Transformersby Samarth Bhargav, Alexander GuFirst submitted to arxiv on:…
Interpreting Affine Recurrence Learning in GPT-style Transformersby Samarth Bhargav, Alexander GuFirst submitted to arxiv on:…
Representation Shattering in Transformers: A Synthetic Study with Knowledge Editingby Kento Nishi, Maya Okawa, Rahul…
LVSM: A Large View Synthesis Model with Minimal 3D Inductive Biasby Haian Jin, Hanwen Jiang,…
Just In Time Transformersby Ahmed Ala Eddine Benali, Massimo Cafaro, Italo Epicoco, Marco Pulimeno, Enrico…
One-Step Diffusion Distillation through Score Implicit Matchingby Weijian Luo, Zemin Huang, Zhengyang Geng, J. Zico…
LLMScan: Causal Scan for LLM Misbehavior Detectionby Mengdi Zhang, Kai Kiat Goh, Peixin Zhang, Jun…
Graph Transformers Dream of Electric Flowby Xiang Cheng, Lawrence Carin, Suvrit SraFirst submitted to arxiv…
Large Body Language Modelsby Saif Punjwani, Larry HeckFirst submitted to arxiv on: 21 Oct 2024CategoriesMain:…
A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstrationby Yingqian Cui, Pengfei He, Xianfeng…
Can Transformers In-Context Learn Behavior of a Linear Dynamical System?by Usman Akram, Haris VikaloFirst submitted…