Summary of Understanding Layer Significance in Llm Alignment, by Guangyuan Shi et al.
Understanding Layer Significance in LLM Alignmentby Guangyuan Shi, Zexin Lu, Xiaoyu Dong, Wenlong Zhang, Xuanyu…
Understanding Layer Significance in LLM Alignmentby Guangyuan Shi, Zexin Lu, Xiaoyu Dong, Wenlong Zhang, Xuanyu…
Unsupervised Domain Adaptation for Action Recognition via Self-Ensembling and Conditional Embedding Alignmentby Indrajeet Ghosh, Garvit…
Advancing Interpretability in Text Classification through Prototype Learningby Bowen Wei, Ziwei ZhuFirst submitted to arxiv…
Large Language Models Empowered Personalized Web Agentsby Hongru Cai, Yongqi Li, Wenjie Wang, Fengbin Zhu,…
Optimizing LLMs with Direct Preferences: A Data Efficiency Perspectiveby Pietro Bernardelle, Gianluca DemartiniFirst submitted to…
Do Large Language Models Have an English Accent? Evaluating and Improving the Naturalness of Multilingual…
Learning How to Vote With Principles: Axiomatic Insights Into the Collective Decisions of Neural Networksby…
Boosting Jailbreak Transferability for Large Language Modelsby Hanqing Liu, Lifeng Zhou, Huanqian YanFirst submitted to…
BrainECHO: Semantic Brain Signal Decoding through Vector-Quantized Spectrogram Reconstruction for Whisper-Enhanced Text Generationby Jilong Li,…
GDPO: Learning to Directly Align Language Models with Diversity Using GFlowNetsby Oh Joon Kwon, Daiki…