Summary of Direct Language Model Alignment From Online Ai Feedback, by Shangmin Guo et al.
Direct Language Model Alignment from Online AI Feedbackby Shangmin Guo, Biao Zhang, Tianlin Liu, Tianqi…
Summary of Low-rank Attention Side-tuning For Parameter-efficient Fine-tuning, by Ningyuan Tang et al.
Low-rank Attention Side-Tuning for Parameter-Efficient Fine-Tuningby Ningyuan Tang, Minghao Fu, Ke Zhu, Jianxin WuFirst submitted…
Summary of Systematic Biases in Llm Simulations Of Debates, by Amir Taubenfeld et al.
Systematic Biases in LLM Simulations of Debatesby Amir Taubenfeld, Yaniv Dover, Roi Reichart, Ariel GoldsteinFirst…
Summary of Vln-video: Utilizing Driving Videos For Outdoor Vision-and-language Navigation, by Jialu Li et al.
VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigationby Jialu Li, Aishwarya Padmakumar, Gaurav Sukhatme, Mohit…
Summary of Partially Recentralization Softmax Loss For Vision-language Models Robustness, by Hao Wang et al.
Partially Recentralization Softmax Loss for Vision-Language Models Robustnessby Hao Wang, Jinzhe Jiang, Xin Zhang, Chen…
Summary of Enhancing Large Language Model Performance to Answer Questions and Extract Information More Accurately, by Liang Zhang et al.
Enhancing Large Language Model Performance To Answer Questions and Extract Information More Accuratelyby Liang Zhang,…
Summary of From Training-free to Adaptive: Empirical Insights Into Mllms’ Understanding Of Detection Information, by Qirui Jiao et al.
From Training-Free to Adaptive: Empirical Insights into MLLMs’ Understanding of Detection Informationby Qirui Jiao, Daoyuan…
Summary of Llamp: Large Language Model Made Powerful For High-fidelity Materials Knowledge Retrieval and Distillation, by Yuan Chiang et al.
LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillationby Yuan Chiang,…
Summary of Fine-tuning Transformer-based Encoder For Turkish Language Understanding Tasks, by Savas Yildirim
Fine-tuning Transformer-based Encoder for Turkish Language Understanding Tasksby Savas YildirimFirst submitted to arxiv on: 30…
Summary of Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained Llms, by Stepan Tytarenko et al.
Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMsby Stepan…