Summary of Revisiting Dynamic Evaluation: Online Adaptation For Large Language Models, by Amal Rannen-triki et al.
Revisiting Dynamic Evaluation: Online Adaptation for Large Language Modelsby Amal Rannen-Triki, Jorg Bornschein, Razvan Pascanu,…
Summary of Can a Confident Prior Replace a Cold Posterior?, by Martin Marek et al.
Can a Confident Prior Replace a Cold Posterior?by Martin Marek, Brooks Paige, Pavel IzmailovFirst submitted…
Summary of Evaluating Large Language Models As Virtual Annotators For Time-series Physical Sensing Data, by Aritra Hota et al.
Evaluating Large Language Models as Virtual Annotators for Time-series Physical Sensing Databy Aritra Hota, Soumyajit…
Summary of Mediswift: Efficient Sparse Pre-trained Biomedical Language Models, by Vithursan Thangarasa et al.
MediSwift: Efficient Sparse Pre-trained Biomedical Language Modelsby Vithursan Thangarasa, Mahmoud Salem, Shreyas Saxena, Kevin Leong,…
Summary of Feature Alignment: Rethinking Efficient Active Learning Via Proxy in the Context Of Pre-trained Models, by Ziting Wen et al.
Feature Alignment: Rethinking Efficient Active Learning via Proxy in the Context of Pre-trained Modelsby Ziting…
Summary of Self-refinement Of Language Models From External Proxy Metrics Feedback, by Keshav Ramji et al.
Self-Refinement of Language Models from External Proxy Metrics Feedbackby Keshav Ramji, Young-Suk Lee, Ramón Fernandez…
Summary of Direct Alignment Of Draft Model For Speculative Decoding with Chat-fine-tuned Llms, by Raghavv Goel et al.
Direct Alignment of Draft Model for Speculative Decoding with Chat-Fine-Tuned LLMsby Raghavv Goel, Mukul Gagrani,…
Summary of Bias Mitigation in Fine-tuning Pre-trained Models For Enhanced Fairness and Efficiency, by Yixuan Zhang and Feng Zhou
Bias Mitigation in Fine-tuning Pre-trained Models for Enhanced Fairness and Efficiencyby Yixuan Zhang, Feng ZhouFirst…
Summary of An Empirical Study Of Data Ability Boundary in Llms’ Math Reasoning, by Zui Chen et al.
An Empirical Study of Data Ability Boundary in LLMs’ Math Reasoningby Zui Chen, Yezeng Chen,…
Summary of Ask Your Distribution Shift If Pre-training Is Right For You, by Benjamin Cohen-wang et al.
Ask Your Distribution Shift if Pre-Training is Right for Youby Benjamin Cohen-Wang, Joshua Vendrow, Aleksander…