Summary of Flexcap: Describe Anything in Images in Controllable Detail, by Debidatta Dwibedi et al.
FlexCap: Describe Anything in Images in Controllable Detailby Debidatta Dwibedi, Vidhi Jain, Jonathan Tompson, Andrew…
FlexCap: Describe Anything in Images in Controllable Detailby Debidatta Dwibedi, Vidhi Jain, Jonathan Tompson, Andrew…
DiPaCo: Distributed Path Compositionby Arthur Douillard, Qixuan Feng, Andrei A. Rusu, Adhiguna Kuncoro, Yani Donchev,…
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulationsby Swapnaja Achintalwar, Ioana Baldini, Djallel…
Leveraging Prototypical Representations for Mitigating Social Bias without Demographic Informationby Shadi Iskander, Kira Radinsky, Yonatan…
Bifurcated Attention: Accelerating Massively Parallel Decoding with Shared Prefixes in LLMsby Ben Athiwaratkun, Sujan Kumar…
Human Alignment of Large Language Models through Online Preference Optimisationby Daniele Calandriello, Daniel Guo, Remi…
Language models scale reliably with over-training and on downstream tasksby Samir Yitzhak Gadre, Georgios Smyrnis,…
Mechanics of Next Token Prediction with Self-Attentionby Yingcong Li, Yixiao Huang, M. Emrullah Ildiz, Ankit…
KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extractionby Zixuan Li, Yutao Zeng, Yuxin…
Chronos: Learning the Language of Time Seriesby Abdul Fatir Ansari, Lorenzo Stella, Caner Turkmen, Xiyuan…