Summary of Less Is More: Accurate Speech Recognition & Translation Without Web-scale Data, by Krishna C. Puvvada et al.
Less is More: Accurate Speech Recognition & Translation without Web-Scale Databy Krishna C. Puvvada, Piotr…
Summary of The Remarkable Robustness Of Llms: Stages Of Inference?, by Vedang Lad et al.
The Remarkable Robustness of LLMs: Stages of Inference?by Vedang Lad, Wes Gurnee, Max TegmarkFirst submitted…
Summary of Lopt: Low-rank Prompt Tuning For Parameter Efficient Language Models, by Shouchang Guo et al.
LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Modelsby Shouchang Guo, Sonam Damani, Keng-hao ChangFirst…
Summary of Rethinking Harmless Refusals When Fine-tuning Foundation Models, by Florin Pop et al.
Rethinking harmless refusals when fine-tuning foundation modelsby Florin Pop, Judd Rosenblatt, Diogo Schwerz de Lucena,…
Summary of Biseizure: Bert-inspired Seizure Data Representation to Improve Epilepsy Monitoring, by Luca Benfenati et al.
BISeizuRe: BERT-Inspired Seizure Data Representation to Improve Epilepsy Monitoringby Luca Benfenati, Thorir Mar Ingolfsson, Andrea…
Summary of Alignment For Performance Improvement in Conversation Bots, by Raghav Garg et al.
Alignment For Performance Improvement in Conversation Botsby Raghav Garg, Kapil Sharma, Shrey SinglaFirst submitted to…
Summary of Understand What Llm Needs: Dual Preference Alignment For Retrieval-augmented Generation, by Guanting Dong et al.
Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generationby Guanting Dong, Yutao Zhu, Chenghao…
Summary of Genrl: Multimodal-foundation World Models For Generalization in Embodied Agents, by Pietro Mazzaglia et al.
GenRL: Multimodal-foundation world models for generalization in embodied agentsby Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt,…
Summary of Selective Prompting Tuning For Personalized Conversations with Llms, by Qiushi Huang et al.
Selective Prompting Tuning for Personalized Conversations with LLMsby Qiushi Huang, Xubo Liu, Tom Ko, Bo…
Summary of Labor-llm: Language-based Occupational Representations with Large Language Models, by Susan Athey et al.
LABOR-LLM: Language-Based Occupational Representations with Large Language Modelsby Susan Athey, Herman Brunborg, Tianyu Du, Ayush…