Summary of Towards a Theory Of How the Structure Of Language Is Acquired by Deep Neural Networks, By Francesco Cagnetta et al.
Towards a theory of how the structure of language is acquired by deep neural networksby…
Summary of Dual Process Learning: Controlling Use Of In-context Vs. In-weights Strategies with Weight Forgetting, by Suraj Anand and Michael A. Lepori and Jack Merullo and Ellie Pavlick
Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgettingby Suraj Anand, Michael…
Summary of Confidence-aware Sub-structure Beam Search (cabs): Mitigating Hallucination in Structured Data Generation with Large Language Models, by Chengwei Wei et al.
Confidence-Aware Sub-Structure Beam Search (CABS): Mitigating Hallucination in Structured Data Generation with Large Language Modelsby…
Summary of Cycleformer : Tsp Solver Based on Language Modeling, by Jieun Yook et al.
CycleFormer : TSP Solver Based on Language Modelingby Jieun Yook, Junpyo Seo, Joon Huh, Han…
Summary of Matryoshka Query Transformer For Large Vision-language Models, by Wenbo Hu et al.
Matryoshka Query Transformer for Large Vision-Language Modelsby Wenbo Hu, Zi-Yi Dou, Liunian Harold Li, Amita…
Summary of Quantitative Certification Of Bias in Large Language Models, by Isha Chaudhary et al.
Quantitative Certification of Bias in Large Language Modelsby Isha Chaudhary, Qian Hu, Manoj Kumar, Morteza…
Summary of Hardware-aware Parallel Prompt Decoding For Memory-efficient Acceleration Of Llm Inference, by Hao Mark Chen et al.
Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inferenceby Hao Mark Chen, Wayne Luk,…
Summary of Promptwizard: Task-aware Prompt Optimization Framework, by Eshaan Agarwal et al.
PromptWizard: Task-Aware Prompt Optimization Frameworkby Eshaan Agarwal, Joykirat Singh, Vivek Dani, Raghav Magazine, Tanuja Ganu,…
Summary of Superposed Decoding: Multiple Generations From a Single Autoregressive Inference Pass, by Ethan Shen et al.
Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Passby Ethan Shen, Alan Fan, Sarah…
Summary of I-llm: Efficient Integer-only Inference For Fully-quantized Low-bit Large Language Models, by Xing Hu et al.
I-LLM: Efficient Integer-Only Inference for Fully-Quantized Low-Bit Large Language Modelsby Xing Hu, Yuan Cheng, Dawei…