44 citations · 63 across the 4 of their papers we have counts for
5 papers
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM
Sainbayar Sukhbaatar, Olga Golovneva, Vasu Sharma +8
We investigate efficient methods for training Large Language Models (LLMs) to possess capabilities in multiple specialized domains, such as coding, math reasoning and world knowled…
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
Zixuan Ke, Bing Liu, Nianzu Ma +2
Continual learning (CL) learns a sequence of tasks incrementally with the goal of achieving two main objectives: overcoming catastrophic forgetting (CF) and encouraging knowledge t…
Supervised Opinion Aspect Extraction by Exploiting Past Extraction Results
Lei Shu, Bing Liu, Hu Xu +1
One of the key tasks of sentiment analysis of product reviews is to extract product aspects or features that users have expressed opinions on. In this work, we focus on using super…
Mining Compatible/Incompatible Entities from Question and Answering via Yes/No Answer Classification using Distant Label Expansion
Hu Xu, Lei Shu, Jingyuan Zhang +1
Product Community Question Answering (PCQA) provides useful information about products and their features (aspects) that may not be well addressed by product descriptions and revie…
CER: Complementary Entity Recognition via Knowledge Expansion on Large Unlabeled Product Reviews
Hu Xu, Sihong Xie, Lei Shu +1
Product reviews contain a lot of useful information about product features and customer opinions. One important product feature is the complementary entity (products) that may pote…