Summary of Elephants Never Forget: Testing Language Models For Memorization Of Tabular Data, by Sebastian Bordt et al.
Elephants Never Forget: Testing Language Models for Memorization of Tabular Databy Sebastian Bordt, Harsha Nori,…
Summary of Thread Detection and Response Generation Using Transformers with Prompt Optimisation, by Kevin Joshua T et al.
Thread Detection and Response Generation using Transformers with Prompt Optimisationby Kevin Joshua T, Arnav Agarwal,…
Summary of Llm Vs. Lawyers: Identifying a Subset Of Summary Judgments in a Large Uk Case Law Dataset, by Ahmed Izzidien and Holli Sargeant and Felix Steffek
LLM vs. Lawyers: Identifying a Subset of Summary Judgments in a Large UK Case Law Datasetby…
Summary of Teaching Large Language Models to Reason with Reinforcement Learning, by Alex Havrilla et al.
Teaching Large Language Models to Reason with Reinforcement Learningby Alex Havrilla, Yuqing Du, Sharath Chandra…
Summary of Learning to Decode Collaboratively with Multiple Language Models, by Shannon Zejiang Shen et al.
Learning to Decode Collaboratively with Multiple Language Modelsby Shannon Zejiang Shen, Hunter Lang, Bailin Wang,…
Summary of The Heuristic Core: Understanding Subnetwork Generalization in Pretrained Language Models, by Adithya Bhaskar et al.
The Heuristic Core: Understanding Subnetwork Generalization in Pretrained Language Modelsby Adithya Bhaskar, Dan Friedman, Danqi…
Summary of Diffusion on Language Model Encodings For Protein Sequence Generation, by Viacheslav Meshchaninov et al.
Diffusion on language model encodings for protein sequence generationby Viacheslav Meshchaninov, Pavel Strashnov, Andrey Shevtsov,…
Summary of The Wmdp Benchmark: Measuring and Reducing Malicious Use with Unlearning, by Nathaniel Li et al.
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearningby Nathaniel Li, Alexander Pan, Anjali…
Summary of Are More Llm Calls All You Need? Towards Scaling Laws Of Compound Inference Systems, by Lingjiao Chen and Jared Quincy Davis and Boris Hanin and Peter Bailis and Ion Stoica and Matei Zaharia and James Zou
Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systemsby Lingjiao…
Summary of Making Pre-trained Language Models Great on Tabular Prediction, by Jiahuan Yan et al.
Making Pre-trained Language Models Great on Tabular Predictionby Jiahuan Yan, Bo Zheng, Hongxia Xu, Yiheng…