Summary of Introducing Flexible Monotone Multiple Choice Item Response Theory Models and Bit Scales, by Joakim Wallmark et al.
Introducing Flexible Monotone Multiple Choice Item Response Theory Models and Bit Scalesby Joakim Wallmark, Maria…
Summary of One Wave to Explain Them All: a Unifying Perspective on Post-hoc Explainability, by Gabriel Kasmi and Amandine Brunetto and Thomas Fel and Jayneel Parekh
One Wave to Explain Them All: A Unifying Perspective on Post-hoc Explainabilityby Gabriel Kasmi, Amandine…
Summary of Learnable Expansion Of Graph Operators For Multi-modal Feature Fusion, by Dexuan Ding et al.
Learnable Expansion of Graph Operators for Multi-Modal Feature Fusionby Dexuan Ding, Lei Wang, Liyun Zhu,…
Summary of Dlp-lora: Efficient Task-specific Lora Fusion with a Dynamic, Lightweight Plugin For Large Language Models, by Yuxuan Zhang et al.
DLP-LoRA: Efficient Task-Specific LoRA Fusion with a Dynamic, Lightweight Plugin for Large Language Modelsby Yuxuan…
Summary of Foldable Supernets: Scalable Merging Of Transformers with Different Initializations and Tasks, by Edan Kinderman et al.
Foldable SuperNets: Scalable Merging of Transformers with Different Initializations and Tasksby Edan Kinderman, Itay Hubara,…
Summary of Infinipot: Infinite Context Processing on Memory-constrained Llms, by Minsoo Kim et al.
InfiniPot: Infinite Context Processing on Memory-Constrained LLMsby Minsoo Kim, Kyuhong Shim, Jungwook Choi, Simyung ChangFirst…
Summary of Harmaug: Effective Data Augmentation For Knowledge Distillation Of Safety Guard Models, by Seanie Lee et al.
HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Modelsby Seanie Lee, Haebin Seong,…
Summary of Bounds on Lp Errors in Density Ratio Estimation Via F-divergence Loss Functions, by Yoshiaki Kitazawa
Bounds on Lp errors in density ratio estimation via f-divergence loss functionsby Yoshiaki KitazawaFirst submitted…
Summary of Tivat: a Transformer with a Single Unified Mechanism For Capturing Asynchronous Dependencies in Multivariate Time Series Forecasting, by Junwoo Ha et al.
TiVaT: A Transformer with a Single Unified Mechanism for Capturing Asynchronous Dependencies in Multivariate Time…
Summary of Attention Layers Provably Solve Single-location Regression, by Pierre Marion et al.
Attention layers provably solve single-location regressionby Pierre Marion, Raphaël Berthier, Gérard Biau, Claire BoyerFirst submitted…