Summary of Explainable Ai Needs Formal Notions Of Explanation Correctness, by Stefan Haufe et al.
Explainable AI needs formal notions of explanation correctnessby Stefan Haufe, Rick Wilming, Benedict Clark, Rustam…
Explainable AI needs formal notions of explanation correctnessby Stefan Haufe, Rick Wilming, Benedict Clark, Rustam…
Implicit Dynamical Flow Fusion (IDFF) for Generative Modelingby Mohammad R. Rezaei, Rahul G. Krishnan, Milos…
EchoAtt: Attend, Copy, then Adjust for More Efficient Large Language Modelsby Hossein Rajabzadeh, Aref Jafari,…
On Importance of Pruning and Distillation for Efficient Low Resource NLPby Aishwarya Mirashi, Purva Lingayat,…
Towards Building Efficient Sentence BERT Models using Layer Pruningby Anushka Shelke, Riya Savant, Raviraj JoshiFirst…
Component-based Sketching for Deep ReLU Netsby Di Wang, Shao-Bo Lin, Deyu Meng, Feilong CaoFirst submitted…
QMOS: Enhancing LLMs for Telecommunication with Question Masked loss and Option Shufflingby Blessed Guda, Gabrial…
A Distribution-Aware Flow-Matching for Generating Unstructured Data for Few-Shot Reinforcement Learningby Mohammad Pivezhandi, Abusayeed SaifullahFirst…
On Lexical Invariance on Multisets and Graphsby Muhan ZhangFirst submitted to arxiv on: 21 Sep…
Data-centric NLP Backdoor Defense from the Lens of Memorizationby Zhenting Wang, Zhizhi Wang, Mingyu Jin,…