Rishabh Bhardwaj | DeepAI

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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...

0 Rishabh Bhardwaj, et al. ∙

∙ 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 ...

0 Pengfei Hong, et al. ∙

∙ 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...

0 Yingting Li, et al. ∙

∙ 11/15/2022

Adaptation Approaches for Nearest Neighbor Language Models

Semi-parametric Nearest Neighbor Language Models (kNN-LMs) have produced...

1 Rishabh Bhardwaj, et al. ∙

∙ 05/23/2022

Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding

Prompt Tuning (PT) has been largely successful as a parameter-efficient ...

5 Rishabh Bhardwaj, et al. ∙

∙ 10/06/2021

Federated Distillation of Natural Language Understanding with Confident Sinkhorns

Enhancing the user experience is an essential task for application servi...

2 Rishabh Bhardwaj, et al. ∙

∙ 12/22/2020

Recognizing Emotion Cause in Conversations

Recognizing the cause behind emotions in text is a fundamental yet under...

13 Soujanya Poria, et al. ∙

∙ 09/10/2020

Investigating Gender Bias in BERT

Contextual language models (CLMs) have pushed the NLP benchmarks to a ne...

1 Rishabh Bhardwaj, et al. ∙

∙ 05/03/2020

Improving Aspect-Level Sentiment Analysis with Aspect Extraction

Aspect-based sentiment analysis (ABSA), a popular research area in NLP h...

1 Navonil Majumder, et al. ∙

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