Rishabh Bhardwaj

Orcid: 0000-0003-3833-4754

According to our database1, Rishabh Bhardwaj authored at least 25 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic.
CoRR, 2024

2023
Language Model Unalignment: Parametric Red-Teaming to Expose Hidden Harms and Biases.
CoRR, 2023

Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment.
CoRR, 2023

ReMask: A Robust Information-Masking Approach for Domain Counterfactual Generation.
CoRR, 2023

Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech Understanding.
CoRR, 2023

Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech Understanding.
Proceedings of the IEEE International Conference on Acoustics, 2023

Adapter Pruning using Tropical Characterization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

kNN-CM: A Non-parametric Inference-Phase Adaptation of Parametric Text Classifiers.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Robust Information-Masking Approach for Domain Counterfactual Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Adaptation Approaches for Nearest Neighbor Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Supplementary Files - Towards Development of an ISFET-based Smart pH Sensor: Enabling Machine Learning for Drift Compensation in IoT Applications.
Dataset, May, 2022

Machine Learning on FPGA for Robust Si3N4-gate ISFET pH Sensor in Industrial IoT Applications.
Dataset, May, 2022

Improving aspect-level sentiment analysis with aspect extraction.
Neural Comput. Appl., 2022

Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding.
CoRR, 2022

Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

KNOT: Knowledge Distillation Using Optimal Transport for Solving NLP Tasks.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Federated Distillation of Natural Language Understanding with Confident Sinkhorns.
CoRR, 2021

Recognizing Emotion Cause in Conversations.
Cogn. Comput., 2021

Investigating Gender Bias in BERT.
Cogn. Comput., 2021

More Identifiable yet Equally Performant Transformers for Text Classification.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Temperature and temporal drift compensation for Al<sub>2</sub>O<sub>3</sub>-gate ISFET-based pH sensor using machine learning techniques.
Microelectron. J., 2020

Recognizing Emotion Cause in Conversations.
CoRR, 2020

Improving Aspect-Level Sentiment Analysis with Aspect Extraction.
CoRR, 2020

2019
Modeling and simulation of temperature drift for ISFET-based pH sensor and its compensation through machine learning techniques.
Int. J. Circuit Theory Appl., 2019

Twitter Homophily: Network Based Prediction of User's Occupation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019


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