Summary of Sparsegrad: a Selective Method For Efficient Fine-tuning Of Mlp Layers, by Viktoriia Chekalina et al.
SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layersby Viktoriia Chekalina, Anna Rudenko, Gleb…
Summary of Exploring Efficient Foundational Multi-modal Models For Video Summarization, by Karan Samel et al.
Exploring Efficient Foundational Multi-modal Models for Video Summarizationby Karan Samel, Apoorva Beedu, Nitish Sontakke, Irfan…
Summary of Onenet: a Fine-tuning Free Framework For Few-shot Entity Linking Via Large Language Model Prompting, by Xukai Liu et al.
OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Promptingby Xukai…
Summary of Cursorcore: Assist Programming Through Aligning Anything, by Hao Jiang et al.
CursorCore: Assist Programming through Aligning Anythingby Hao Jiang, Qi Liu, Rui Li, Shengyu Ye, Shijin…
Summary of Pap2pat: Benchmarking Outline-guided Long-text Patent Generation with Patent-paper Pairs, by Valentin Knappich et al.
Pap2Pat: Benchmarking Outline-Guided Long-Text Patent Generation with Patent-Paper Pairsby Valentin Knappich, Simon Razniewski, Anna Hätty,…
Summary of Positionid: Llms Can Control Lengths, Copy and Paste with Explicit Positional Awareness, by Zekun Wang et al.
PositionID: LLMs can Control Lengths, Copy and Paste with Explicit Positional Awarenessby Zekun Wang, Feiyu…
Summary of Coevolving with the Other You: Fine-tuning Llm with Sequential Cooperative Multi-agent Reinforcement Learning, by Hao Ma et al.
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learningby Hao Ma,…
Summary of On the Modeling Capabilities Of Large Language Models For Sequential Decision Making, by Martin Klissarov et al.
On the Modeling Capabilities of Large Language Models for Sequential Decision Makingby Martin Klissarov, Devon…
Summary of Can Llms Plan Paths with Extra Hints From Solvers?, by Erik Wu and Sayan Mitra
Can LLMs plan paths with extra hints from solvers?by Erik Wu, Sayan MitraFirst submitted to…
Summary of Preserving Multi-modal Capabilities Of Pre-trained Vlms For Improving Vision-linguistic Compositionality, by Youngtaek Oh et al.
Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionalityby Youngtaek Oh, Jae Won Cho,…