3 citations · 13 across the 32 of their papers we have counts for
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cs.LG2025
Aligning LLMs on a Budget: Inference-Time Alignment with Heuristic Reward Models
Mason Nakamura, Saaduddin Mahmud, Kyle H. Wray +2
Aligning LLMs with user preferences is crucial for real-world use but often requires costly fine-tuning or expensive inference, forcing trade-offs between alignment quality and com…
cs.LG2024★ 1 cited
Retrieval-Enhanced Machine Learning: Synthesis and Opportunities
To Eun Kim, Alireza Salemi, Andrew Drozdov +2
In the field of language modeling, models augmented with retrieval components have emerged as a promising solution to address several challenges faced in the natural language proce…
cs.LG2023★ 1 cited
ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label Classification
Yaxin Zhu, Hamed Zamani
This paper focuses on the task of Extreme Multi-Label Classification (XMC) whose goal is to predict multiple labels for each instance from an extremely large label space. While exi…