Summary of In-context Learning Can Re-learn Forbidden Tasks, by Sophie Xhonneux et al.
In-Context Learning Can Re-learn Forbidden Tasksby Sophie Xhonneux, David Dobre, Jian Tang, Gauthier Gidel, Dhanya…
In-Context Learning Can Re-learn Forbidden Tasksby Sophie Xhonneux, David Dobre, Jian Tang, Gauthier Gidel, Dhanya…
Model-Based RL for Mean-Field Games is not Statistically Harder than Single-Agent RLby Jiawei Huang, Niao…
Implicit Bias and Fast Convergence Rates for Self-attentionby Bhavya Vasudeva, Puneesh Deora, Christos ThrampoulidisFirst submitted…
A Sampling Theory Perspective on Activations for Implicit Neural Representationsby Hemanth Saratchandran, Sameera Ramasinghe, Violetta…
Mixture Density Networks for Classification with an Application to Product Bundlingby Narendhar Gugulothu, Sanjay P.…
GPT-4 Generated Narratives of Life Events using a Structured Narrative Prompt: A Validation Studyby Christopher…
Learning Uncertainty-Aware Temporally-Extended Actionsby Joongkyu Lee, Seung Joon Park, Yunhao Tang, Min-hwan OhFirst submitted to…
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transportby Jaemoo Choi, Jaewoong Choi,…
Minecraft-ify: Minecraft Style Image Generation with Text-guided Image Editing for In-Game Applicationby Bumsoo Kim, Sanghyun…
Accurate LoRA-Finetuning Quantization of LLMs via Information Retentionby Haotong Qin, Xudong Ma, Xingyu Zheng, Xiaoyang…