Summary of Agreemate: Teaching Llms to Haggle, by Ainesh Chatterjee et al.
AgreeMate: Teaching LLMs to Haggleby Ainesh Chatterjee, Samuel Miller, Nithin ParepallyFirst submitted to arxiv on:…
Summary of Mitigating Label Noise Using Prompt-based Hyperbolic Meta-learning in Open-set Domain Generalization, by Kunyu Peng et al.
Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain Generalizationby Kunyu Peng, Di Wen,…
Summary of Robustness-aware Automatic Prompt Optimization, by Zeru Shi et al.
Robustness-aware Automatic Prompt Optimizationby Zeru Shi, Zhenting Wang, Yongye Su, Weidi Luo, Hang Gao, Fan…
Summary of Diving Into Self-evolving Training For Multimodal Reasoning, by Wei Liu et al.
Diving into Self-Evolving Training for Multimodal Reasoningby Wei Liu, Junlong Li, Xiwen Zhang, Fan Zhou,…
Summary of Enhancing Multi-text Long Video Generation Consistency Without Tuning: Time-frequency Analysis, Prompt Alignment, and Theory, by Xingyao Li et al.
Enhancing Multi-Text Long Video Generation Consistency without Tuning: Time-Frequency Analysis, Prompt Alignment, and Theoryby Xingyao…
Summary of A Machine Learning Approach For Emergency Detection in Medical Scenarios Using Large Language Models, by Ferit Akaybicen et al.
A Machine Learning Approach for Emergency Detection in Medical Scenarios Using Large Language Modelsby Ferit…
Summary of Prompt-based Unifying Inference Attack on Graph Neural Networks, by Yuecen Wei et al.
Prompt-based Unifying Inference Attack on Graph Neural Networksby Yuecen Wei, Xingcheng Fu, Lingyun Liu, Qingyun…
Summary of In-context Continual Learning Assisted by An External Continual Learner, By Saleh Momeni et al.
In-context Continual Learning Assisted by an External Continual Learnerby Saleh Momeni, Sahisnu Mazumder, Zixuan Ke,…
Summary of Unveiling Uncertainty: a Deep Dive Into Calibration and Performance Of Multimodal Large Language Models, by Zijun Chen et al.
Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Modelsby Zijun…
Summary of Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-attention For Fine-grained Few-shot Learning, by Eric Brouwer et al.
Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learningby Eric Brouwer,…