3 citations · 4 across the 6 of their papers we have counts for
5 papers · 1 filter
DROID: Dual Representation for Out-of-Scope Intent Detection
Wael Rashwan, Hossam M. Zawbaa, Sourav Dutta +1
Detecting out-of-scope (OOS) user utterances remains a key challenge in task-oriented dialogue systems and, more broadly, in open-set intent recognition. Existing approaches often…
Improved Out-of-Scope Intent Classification with Dual Encoding and Threshold-based Re-Classification
Hossam M. Zawbaa, Wael Rashwan, Sourav Dutta +1
Detecting out-of-scope user utterances is essential for task-oriented dialogues and intent classification. Current methodologies face difficulties with the unpredictable distributi…
Enhancing Contextual Understanding in Large Language Models through Contrastive Decoding
Zheng Zhao, Emilio Monti, Jens Lehmann +1
Large language models (LLMs) tend to inadequately integrate input context during text generation, relying excessively on encoded prior knowledge in model parameters, potentially re…
Aligned Weight Regularizers for Pruning Pretrained Neural Networks
James O' Neill, Sourav Dutta, Haytham Assem
While various avenues of research have been explored for iterative pruning, little is known what effect pruning has on zero-shot test performance and its potential implications on…
Unsupervised Word Translation Pairing using Refinement based Point Set Registration
Silviu Oprea, Sourav Dutta, Haytham Assem
Cross-lingual alignment of word embeddings play an important role in knowledge transfer across languages, for improving machine translation and other multi-lingual applications. Cu…