1 citations · 1 across the 6 of their papers we have counts for
7 papers
Do Evaluation Metrics Detect Errors in Classical Chinese to English Translations?
Osvaldo Quinjica, Eric Bennett, Xinchen Yang +2
Although large language models can translate some historical languages surprisingly well, their usefulness in digital humanities workflows is limited by the lack of reliable evalua…
Can You Make It Sound Like You? Post-Editing LLM-Generated Text for Personal Style
Connor Baumler, Calvin Bao, Huy Nghiem +3
Despite the growing use of large language models (LLMs) for writing tasks, users may hesitate to rely on LLMs when personal style is important. Post-editing LLM-generated drafts or…
TouchGuide: Inference-Time Steering of Visuomotor Policies via Touch Guidance
Zhemeng Zhang, Jiahua Ma, Xincheng Yang +13
Fine-grained and contact-rich manipulation remain challenging for robots, largely due to the underutilization of tactile feedback. To address this, we introduce TouchGuide, a novel…
An Exact Algorithm for the Unanimous Vote Problem
Feyza Duman Keles, Lisa Hellerstein, Kunal Marwaha +2
Consider independent, biased coins, each with a known probability of heads. Presented with an ordering of these coins, flip (i.e., toss) each coin once, in that order, until we…
Steering Large Language Models with Register Analysis for Arbitrary Style Transfer
Xinchen Yang, Marine Carpuat
Large Language Models (LLMs) have demonstrated strong capabilities in rewriting text across various styles. However, effectively leveraging this ability for example-based arbitrary…
Token-level Ensembling of Models with Different Vocabularies
Rachel Wicks, Kartik Ravisankar, Xinchen Yang +2
Model ensembling is a technique to combine the predicted distributions of two or more models, often leading to improved robustness and performance. For ensembling in text generatio…
Syllabus: Portable Curricula for Reinforcement Learning Agents
Ryan Sullivan, Ryan Pégoud, Ameen Ur Rehman +5
Curriculum learning has been a quiet, yet crucial component of many high-profile successes of reinforcement learning. Despite this, it is still a niche topic that is not directly s…