Summary of Generative Verifiers: Reward Modeling As Next-token Prediction, by Lunjun Zhang et al.
Generative Verifiers: Reward Modeling as Next-Token Predictionby Lunjun Zhang, Arian Hosseini, Hritik Bansal, Mehran Kazemi,…
Generative Verifiers: Reward Modeling as Next-Token Predictionby Lunjun Zhang, Arian Hosseini, Hritik Bansal, Mehran Kazemi,…
Unraveling Text Generation in LLMs: A Stochastic Differential Equation Approachby Yukun ZhangFirst submitted to arxiv…
SMILE: Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Modelsby Anke Tang, Li…
PEDAL: Enhancing Greedy Decoding with Large Language Models using Diverse Exemplarsby Sumanth PrabhuFirst submitted to…
ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Modelsby Chao Zeng, Songwei Liu, Yusheng Xie,…
Global-to-Local Support Spectrums for Language Model Explainabilityby Lucas Agussurja, Xinyang Lu, Bryan Kian Hsiang LowFirst…
An Evaluation of Standard Statistical Models and LLMs on Time Series Forecastingby Rui Cao, Qiao…
Risks, Causes, and Mitigations of Widespread Deployments of Large Language Models (LLMs): A Surveyby Md…
Diffusion Guided Language Modelingby Justin Lovelace, Varsha Kishore, Yiwei Chen, Kilian Q. WeinbergerFirst submitted to…
MedSyn: LLM-based Synthetic Medical Text Generation Frameworkby Gleb Kumichev, Pavel Blinov, Yulia Kuzkina, Vasily Goncharov,…