1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.AI2024
Smoothie: Label Free Language Model Routing
Neel Guha, Mayee F. Chen, Trevor Chow +2
Large language models (LLMs) are increasingly used in applications where LLM inputs may span many different tasks. Recent work has found that the choice of LLM is consequential, an…
cs.LG2023★ 1 cited
What Causes Polysemanticity? An Alternative Origin Story of Mixed Selectivity from Incidental Causes
Victor Lecomte, Kushal Thaman, Rylan Schaeffer +3
Polysemantic neurons -- neurons that activate for a set of unrelated features -- have been seen as a significant obstacle towards interpretability of task-optimized deep networks,…
cs.CL2023
Stanford MLab at SemEval-2023 Task 10: Exploring GloVe- and Transformer-Based Methods for the Explainable Detection of Online Sexism
Hee Jung Choi, Trevor Chow, Aaron Wan +3
In this paper, we discuss the methods we applied at SemEval-2023 Task 10: Towards the Explainable Detection of Online Sexism. Given an input text, we perform three classification t…