Summary of Key-element-informed Sllm Tuning For Document Summarization, by Sangwon Ryu et al.
Key-Element-Informed sLLM Tuning for Document Summarizationby Sangwon Ryu, Heejin Do, Yunsu Kim, Gary Geunbae Lee,…
Key-Element-Informed sLLM Tuning for Document Summarizationby Sangwon Ryu, Heejin Do, Yunsu Kim, Gary Geunbae Lee,…
MATTER: Memory-Augmented Transformer Using Heterogeneous Knowledge Sourcesby Dongkyu Lee, Chandana Satya Prakash, Jack FitzGerald, Jens…
MeLFusion: Synthesizing Music from Image and Language Cues using Diffusion Modelsby Sanjoy Chowdhury, Sayan Nag,…
WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wildby Bill Yuchen Lin,…
Generative AI Models: Opportunities and Risks for Industry and Authoritiesby Tobias Alt, Andrea Ibisch, Clemens…
SelfGoal: Your Language Agents Already Know How to Achieve High-level Goalsby Ruihan Yang, Jiangjie Chen,…
Zero, Finite, and Infinite Belief History of Theory of Mind Reasoning in Large Language Modelsby…
Navigating Efficiency in MobileViT through Gaussian Process on Global Architecture Factorsby Ke Meng, Kai ChenFirst…
Ada-VE: Training-Free Consistent Video Editing Using Adaptive Motion Priorby Tanvir Mahmud, Mustafa Munir, Radu Marculescu,…
BERTs are Generative In-Context Learnersby David SamuelFirst submitted to arxiv on: 7 Jun 2024CategoriesMain: Computation…