Summary of Source-aware Training Enables Knowledge Attribution in Language Models, by Muhammad Khalifa et al.
Source-Aware Training Enables Knowledge Attribution in Language Modelsby Muhammad Khalifa, David Wadden, Emma Strubell, Honglak…
Source-Aware Training Enables Knowledge Attribution in Language Modelsby Muhammad Khalifa, David Wadden, Emma Strubell, Honglak…
Benchmark Transparency: Measuring the Impact of Data on Evaluationby Venelin Kovatchev, Matthew LeaseFirst submitted to…
Continual Vision-and-Language Navigationby Seongjun Jeong, Gi-Cheon Kang, Seongho Choi, Joochan Kim, Byoung-Tak ZhangFirst submitted to…
A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systemsby Zihao Yi, Jiarui Ouyang, Yuwen…
Large Scale Generative AI Text Applied to Sports and Musicby Aaron Baughman, Stephen Hammer, Rahul…
Where is the answer? Investigating Positional Bias in Language Model Knowledge Extractionby Kuniaki Saito, Kihyuk…
I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large…
Quantized Embedding Vectors for Controllable Diffusion Language Modelsby Cheng Kang, Xinye Chen, Yong Hu, Daniel…
The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapseby Wanli…
OrderBkd: Textual backdoor attack through repositioningby Irina Alekseevskaia, Konstantin ArkhipenkoFirst submitted to arxiv on: 12…