Summary of Metatool: Facilitating Large Language Models to Master Tools with Meta-task Augmentation, by Xiaohan Wang et al.
MetaTool: Facilitating Large Language Models to Master Tools with Meta-task Augmentationby Xiaohan Wang, Dian Li,…
MetaTool: Facilitating Large Language Models to Master Tools with Meta-task Augmentationby Xiaohan Wang, Dian Li,…
Evaluation of RAG Metrics for Question Answering in the Telecom Domainby Sujoy Roychowdhury, Sumit Soman,…
InstructAV: Instruction Fine-tuning Large Language Models for Authorship Verificationby Yujia Hu, Zhiqiang Hu, Chun-Wei Seah,…
Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic Databy Richard Osuala, Daniel M. Lang,…
AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Basesby Zhaorun Chen, Zhen Xiang, Chaowei…
Object-Aware Query Perturbation for Cross-Modal Image-Text Retrievalby Naoya Sogi, Takashi Shibata, Makoto TeraoFirst submitted to…
Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learningby Yanting Miao, William Loh, Suraj Kothawade, Pascal Poupart,…
Does Refusal Training in LLMs Generalize to the Past Tense?by Maksym Andriushchenko, Nicolas FlammarionFirst submitted…
Improving AlphaFlow for Efficient Protein Ensembles Generationby Shaoning Li, Mingyu Li, Yusong Wang, Xinheng He,…
XEdgeAI: A Human-centered Industrial Inspection Framework with Data-centric Explainable Edge AI Approachby Truong Thanh Hung…