3 papers
cs.CL2025★ 1 cited
Refining Input Guardrails: Enhancing LLM-as-a-Judge Efficiency Through Chain-of-Thought Fine-Tuning and Alignment
Melissa Kazemi Rad, Huy Nghiem, Andy Luo +3
Large Language Models (LLMs) have demonstrated powerful capabilities that render them valuable in different applications, including conversational AI products. It is paramount to e…
cs.CL2019
Contextualized End-to-End Neural Entity Linking
Haotian Chen, Andrej Zukov-Gregoric, Xi David Li +1
We propose yet another entity linking model (YELM) which links words to entities instead of spans. This overcomes any difficulties associated with the selection of good candidate m…
cs.CV2018
Evaluating the Readability of Force Directed Graph Layouts: A Deep Learning Approach
Hammad Haleem, Yong Wang, Abishek Puri +2
Existing graph layout algorithms are usually not able to optimize all the aesthetic properties desired in a graph layout. To evaluate how well the desired visual features are refle…