1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.AI2024★ 1 cited
Localized Zeroth-Order Prompt Optimization
Wenyang Hu, Yao Shu, Zongmin Yu +5
The efficacy of large language models (LLMs) in understanding and generating natural language has aroused a wide interest in developing prompt-based methods to harness the power of…
cs.CL2023
Dynamic Scheduled Sampling with Imitation Loss for Neural Text Generation
Xiang Lin, Prathyusha Jwalapuram, Shafiq Joty
State-of-the-art neural text generation models are typically trained to maximize the likelihood of each token in the ground-truth sequence conditioned on the previous target tokens…
cs.CL2020
Rethinking Coherence Modeling: Synthetic vs. Downstream Tasks
Tasnim Mohiuddin, Prathyusha Jwalapuram, Xiang Lin +1
Although coherence modeling has come a long way in developing novel models, their evaluation on downstream applications for which they are purportedly developed has largely been ne…