Summary of Utilizing Large Language Models to Synthesize Product Desirability Datasets, by John D. Hastings et al.
Utilizing Large Language Models to Synthesize Product Desirability Datasetsby John D. Hastings, Sherri Weitl-Harms, Joseph…
Utilizing Large Language Models to Synthesize Product Desirability Datasetsby John D. Hastings, Sherri Weitl-Harms, Joseph…
MERLOT: A Distilled LLM-based Mixture-of-Experts Framework for Scalable Encrypted Traffic Classificationby Yuxuan Chen, Rongpeng Li,…
Value Imprint: A Technique for Auditing the Human Values Embedded in RLHF Datasetsby Ike Obi,…
Re-examining learning linear functions in contextby Omar Naim, Guilhem Fouilhé, Nicholas AsherFirst submitted to arxiv…
MARS: Unleashing the Power of Variance Reduction for Training Large Modelsby Huizhuo Yuan, Yifeng Liu,…
Does Prompt Formatting Have Any Impact on LLM Performance?by Jia He, Mukund Rungta, David Koleczek,…
Continuous GNN-based Anomaly Detection on Edge using Efficient Adaptive Knowledge Graph Learningby Sanggeon Yun, Ryozo…
LLMStinger: Jailbreaking LLMs using RL fine-tuned LLMsby Piyush Jha, Arnav Arora, Vijay GaneshFirst submitted to…
Towards Operationalizing Right to Data Protectionby Abhinav Java, Simra Shahid, Chirag AgarwalFirst submitted to arxiv…
Derivational Morphology Reveals Analogical Generalization in Large Language Modelsby Valentin Hofmann, Leonie Weissweiler, David Mortensen,…