22 citations · 26 across the 7 of their papers we have counts for
5 papers · 1 filter
Does Prompt Formatting Have Any Impact on LLM Performance?
Jia He, Mukund Rungta, David Koleczek +3
In the realm of Large Language Models (LLMs), prompt optimization is crucial for model performance. Although previous research has explored aspects like rephrasing prompt contexts,…
Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language Models
Anmol Mekala, Vineeth Dorna, Shreya Dubey +5
Machine unlearning aims to efficiently eliminate the influence of specific training data, known as the forget set, from the model. However, existing unlearning methods for Large La…
HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification
Vidit Jain, Mukund Rungta, Yuchen Zhuang +5
Hierarchical text classification (HTC) is a complex subtask under multi-label text classification, characterized by a hierarchical label taxonomy and data imbalance. The best-perfo…
Forgotten Knowledge: Examining the Citational Amnesia in NLP
Janvijay Singh, Mukund Rungta, Diyi Yang +1
Citing papers is the primary method through which modern scientific writing discusses and builds on past work. Collectively, citing a diverse set of papers (in time and area of stu…
Geographic Citation Gaps in NLP Research
Mukund Rungta, Janvijay Singh, Saif M. Mohammad +1
In a fair world, people have equitable opportunities to education, to conduct scientific research, to publish, and to get credit for their work, regardless of where they live. Howe…