Summary of Framequant: Flexible Low-bit Quantization For Transformers, by Harshavardhan Adepu et al.
FrameQuant: Flexible Low-Bit Quantization for Transformersby Harshavardhan Adepu, Zhanpeng Zeng, Li Zhang, Vikas SinghFirst submitted…
Summary of Merging Text Transformer Models From Different Initializations, by Neha Verma et al.
Merging Text Transformer Models from Different Initializationsby Neha Verma, Maha ElbayadFirst submitted to arxiv on:…
Summary of The Era Of 1-bit Llms: All Large Language Models Are in 1.58 Bits, by Shuming Ma et al.
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bitsby Shuming Ma,…
Summary of How Can Llm Guide Rl? a Value-based Approach, by Shenao Zhang et al.
How Can LLM Guide RL? A Value-Based Approachby Shenao Zhang, Sirui Zheng, Shuqi Ke, Zhihan…
Summary of Deep Learning Approaches For Improving Question Answering Systems in Hepatocellular Carcinoma Research, by Shuning Huo et al.
Deep Learning Approaches for Improving Question Answering Systems in Hepatocellular Carcinoma Researchby Shuning Huo, Yafei…
Summary of Dynamic Evaluation Of Large Language Models by Meta Probing Agents, By Kaijie Zhu et al.
Dynamic Evaluation of Large Language Models by Meta Probing Agentsby Kaijie Zhu, Jindong Wang, Qinlin…
Summary of Efficient Data Selection Employing Semantic Similarity-based Graph Structures For Model Training, by Roxana Petcu and Subhadeep Maji
Efficient data selection employing Semantic Similarity-based Graph Structures for model trainingby Roxana Petcu, Subhadeep MajiFirst…
Summary of Improving Language Understanding From Screenshots, by Tianyu Gao et al.
Improving Language Understanding from Screenshotsby Tianyu Gao, Zirui Wang, Adithya Bhaskar, Danqi ChenFirst submitted to…
Summary of Umbclu at Semeval-2024 Task 1a and 1c: Semantic Textual Relatedness with and Without Machine Translation, by Shubhashis Roy Dipta and Sai Vallurupalli
UMBCLU at SemEval-2024 Task 1A and 1C: Semantic Textual Relatedness with and without machine translationby…
Summary of Symbolic Autoencoding For Self-supervised Sequence Learning, by Mohammad Hossein Amani et al.
Symbolic Autoencoding for Self-Supervised Sequence Learningby Mohammad Hossein Amani, Nicolas Mario Baldwin, Amin Mansouri, Martin…