Summary of Zero-shot Model-based Reinforcement Learning Using Large Language Models, by Abdelhakim Benechehab et al.
Zero-shot Model-based Reinforcement Learning using Large Language Modelsby Abdelhakim Benechehab, Youssef Attia El Hili, Ambroise…
Summary of Dyspec: Faster Speculative Decoding with Dynamic Token Tree Structure, by Yunfan Xiong et al.
DySpec: Faster Speculative Decoding with Dynamic Token Tree Structureby Yunfan Xiong, Ruoyu Zhang, Yanzeng Li,…
Summary of Losam: Local Search in Additive Noise Models with Mixed Mechanisms and General Noise For Global Causal Discovery, by Sujai Hiremath et al.
LoSAM: Local Search in Additive Noise Models with Mixed Mechanisms and General Noise for Global…
Summary of Analyzing (in)abilities Of Saes Via Formal Languages, by Abhinav Menon et al.
Analyzing (In)Abilities of SAEs via Formal Languagesby Abhinav Menon, Manish Shrivastava, David Krueger, Ekdeep Singh…
Summary of Ecgn: a Cluster-aware Approach to Graph Neural Networks For Imbalanced Classification, by Bishal Thapaliya et al.
ECGN: A Cluster-Aware Approach to Graph Neural Networks for Imbalanced Classificationby Bishal Thapaliya, Anh Nguyen,…
Summary of Encoding Architecture Algebra, by Stephane Bersier et al.
Encoding architecture algebraby Stephane Bersier, Xinyi Chen-LinFirst submitted to arxiv on: 15 Oct 2024CategoriesMain: Machine…
Summary of Layer-wise Importance Matters: Less Memory For Better Performance in Parameter-efficient Fine-tuning Of Large Language Models, by Kai Yao et al.
Layer-wise Importance Matters: Less Memory for Better Performance in Parameter-efficient Fine-tuning of Large Language Modelsby…
Summary of On the Training Convergence Of Transformers For In-context Classification Of Gaussian Mixtures, by Wei Shen et al.
On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixturesby Wei Shen, Ruida…
Summary of Mllm Can See? Dynamic Correction Decoding For Hallucination Mitigation, by Chenxi Wang et al.
MLLM can see? Dynamic Correction Decoding for Hallucination Mitigationby Chenxi Wang, Xiang Chen, Ningyu Zhang,…
Summary of Language Models Encode Numbers Using Digit Representations in Base 10, by Amit Arnold Levy et al.
Language Models Encode Numbers Using Digit Representations in Base 10by Amit Arnold Levy, Mor GevaFirst…