Summary of Enhancing Large Language Model Performance with Gradient-based Parameter Selection, by Haoling Li et al.
Enhancing Large Language Model Performance with Gradient-Based Parameter Selectionby Haoling Li, Xin Zhang, Xiao Liu,…
Summary of Crisissense-llm: Instruction Fine-tuned Large Language Model For Multi-label Social Media Text Classification in Disaster Informatics, by Kai Yin et al.
CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster Informaticsby…
Summary of Rankadaptor: Hierarchical Rank Allocation For Efficient Fine-tuning Pruned Llms Via Performance Model, by Changhai Zhou et al.
RankAdaptor: Hierarchical Rank Allocation for Efficient Fine-Tuning Pruned LLMs via Performance Modelby Changhai Zhou, Shijie…
Summary of Routefinder: Towards Foundation Models For Vehicle Routing Problems, by Federico Berto et al.
RouteFinder: Towards Foundation Models for Vehicle Routing Problemsby Federico Berto, Chuanbo Hua, Nayeli Gast Zepeda,…
Summary of An Adapter-based Unified Model For Multiple Spoken Language Processing Tasks, by Varsha Suresh et al.
An Adapter-Based Unified Model for Multiple Spoken Language Processing Tasksby Varsha Suresh, Salah Aït-Mokhtar, Caroline…
Summary of Q*: Improving Multi-step Reasoning For Llms with Deliberative Planning, by Chaojie Wang et al.
Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planningby Chaojie Wang, Yanchen Deng, Zhiyi Lyu,…
Summary of Learning to Plan For Retrieval-augmented Large Language Models From Knowledge Graphs, by Junjie Wang et al.
Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphsby Junjie Wang, Mingyang Chen,…
Summary of Cryptogpt: a 7b Model Rivaling Gpt-4 in the Task Of Analyzing and Classifying Real-time Financial News, by Ying Zhang et al.
CryptoGPT: a 7B model rivaling GPT-4 in the task of analyzing and classifying real-time financial…
Summary of How Many Parameters Does It Take to Change a Light Bulb? Evaluating Performance in Self-play Of Conversational Games As a Function Of Model Characteristics, by Nidhir Bhavsar and Jonathan Jordan and Sherzod Hakimov and David Schlangen
How Many Parameters Does it Take to Change a Light Bulb? Evaluating Performance in Self-Play…
Summary of Secokd: Aligning Large Language Models For In-context Learning with Fewer Shots, by Weixing Wang et al.
SeCoKD: Aligning Large Language Models for In-Context Learning with Fewer Shotsby Weixing Wang, Haojin Yang,…