Summary of Scaling Llm Inference with Optimized Sample Compute Allocation, by Kexun Zhang et al.
Scaling LLM Inference with Optimized Sample Compute Allocationby Kexun Zhang, Shang Zhou, Danqing Wang, William…
Scaling LLM Inference with Optimized Sample Compute Allocationby Kexun Zhang, Shang Zhou, Danqing Wang, William…
Sing it, Narrate it: Quality Musical Lyrics Translationby Zhuorui Ye, Jinhan Li, Rongwu XuFirst submitted…
Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative Frameworkby Vladimir Arkhipkin, Viacheslav Vasilev, Andrei Filatov, Igor…
Historical Test-time Prompt Tuning for Vision Foundation Modelsby Jingyi Zhang, Jiaxing Huang, Xiaoqin Zhang, Ling…
Relation-based Counterfactual Data Augmentation and Contrastive Learning for Robustifying Natural Language Inference Modelsby Heerin Yang,…
RARe: Retrieval Augmented Retrieval with In-Context Examplesby Atula Tejaswi, Yoonsang Lee, Sujay Sanghavi, Eunsol ChoiFirst…
Peter Parker or Spiderman? Disambiguating Multiple Class Labelsby Nuthan Mummani, Simran Ketha, Venkatakrishnan RamaswamyFirst submitted…
Step Guided Reasoning: Improving Mathematical Reasoning using Guidance Generation and Step Reasoningby Lang Cao, Chao…
Ali-AUG: Innovative Approaches to Labeled Data Augmentation using One-Step Diffusion Modelby Ali Hamza, Aizea Lojo,…
NaVIP: An Image-Centric Indoor Navigation Solution for Visually Impaired Peopleby Jun Yu, Yifan Zhang, Badrinadh…