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08/18/2023
Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment
Larger language models (LLMs) have taken the world by storm with their m...
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05/04/2023
ReMask: A Robust Information-Masking Approach for Domain Counterfactual Generation
Domain shift is a big challenge in NLP, thus, many approaches resort to ...
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03/02/2023
Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech Understanding
Fine-tuning is widely used as the default algorithm for transfer learnin...
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11/15/2022
Adaptation Approaches for Nearest Neighbor Language Models
Semi-parametric Nearest Neighbor Language Models (kNN-LMs) have produced...
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05/23/2022
Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding
Prompt Tuning (PT) has been largely successful as a parameter-efficient ...
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10/06/2021
Federated Distillation of Natural Language Understanding with Confident Sinkhorns
Enhancing the user experience is an essential task for application servi...
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12/22/2020
Recognizing Emotion Cause in Conversations
Recognizing the cause behind emotions in text is a fundamental yet under...
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09/10/2020
Investigating Gender Bias in BERT
Contextual language models (CLMs) have pushed the NLP benchmarks to a ne...
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05/03/2020
