Twitter Homophily: Network Based Prediction of User's Occupation. - Jiaqi Pan; Rishabh Bhardwaj; Wei Lu 011; Hai Leong Chieu; Xinghao Pan; Ni Yi Puay (ACL (1), 2019)

Modeling and simulation of temperature drift for ISFET-based pH sensor and its compensation through machine learning techniques. - Rishabh Bhardwaj; Soumendu Sinha; Nishad Sahu; Sagnik Majumder; Pratik Narang; Ravindra Mukhiya (Int. J. Circuit Theory Appl., 2019)

Improving Aspect-Level Sentiment Analysis with Aspect Extraction. - Navonil Majumder; Rishabh Bhardwaj; Soujanya Poria; Amir Zadeh 001; Alexander F. Gelbukh; Amir Hussain 001; Louis-Philippe Morency (CoRR, 2020)

Recognizing Emotion Cause in Conversations. - Soujanya Poria; Navonil Majumder; Devamanyu Hazarika; Deepanway Ghosal; Rishabh Bhardwaj; Samson Yu Bai Jian; Romila Ghosh; Niyati Chhaya; Alexander F. Gelbukh; Rada Mihalcea (CoRR, 2020)

Temperature and temporal drift compensation for Al2O3-gate ISFET-based pH sensor using machine learning techniques. - Soumendu Sinha; Rishabh Bhardwaj; Nishad Sahu; Hitesh Ahuja; Rishi Sharma 002; Ravindra Mukhiya (Microelectron. J., 2020)

More Identifiable yet Equally Performant Transformers for Text Classification. - Rishabh Bhardwaj; Navonil Majumder; Soujanya Poria; Eduard H. Hovy (ACL/IJCNLP (1), 2021)

Investigating Gender Bias in BERT. - Rishabh Bhardwaj; Navonil Majumder; Soujanya Poria (Cogn. Comput., 2021)

Recognizing Emotion Cause in Conversations. - Soujanya Poria; Navonil Majumder; Devamanyu Hazarika; Deepanway Ghosal; Rishabh Bhardwaj; Samson Yu Bai Jian; Pengfei Hong; Romila Ghosh; Abhinaba Roy; Niyati Chhaya; Alexander F. Gelbukh; Rada Mihalcea (Cogn. Comput., 2021)

Federated Distillation of Natural Language Understanding with Confident Sinkhorns. - Rishabh Bhardwaj; Tushar Vaidya; Soujanya Poria (CoRR, 2021)

KNOT: Knowledge Distillation Using Optimal Transport for Solving NLP Tasks. - Rishabh Bhardwaj; Tushar Vaidya; Soujanya Poria (COLING, 2022)

Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding. - Rishabh Bhardwaj; Amrita Saha; Steven C. H. Hoi; Soujanya Poria (EMNLP, 2022)

Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding. - Rishabh Bhardwaj; Amrita Saha; Steven C. H. Hoi (CoRR, 2022)

Improving aspect-level sentiment analysis with aspect extraction. - Navonil Majumder; Rishabh Bhardwaj; Soujanya Poria; Alexander F. Gelbukh; Amir Hussain 001 (Neural Comput. Appl., 2022)

Machine Learning on FPGA for Robust Si3N4-gate ISFET pH Sensor in Industrial IoT Applications. - Soumendu Sinha; Nishad Sahu; Rishabh Bhardwaj; Aditya Mehta; Hitesh Ahuja (IEEE DataPort, 2022)

Supplementary Files - Towards Development of an ISFET-based Smart pH Sensor: Enabling Machine Learning for Drift Compensation in IoT Applications. - Soumendu Sinha; Nishad Sahu; Rishabh Bhardwaj; Het Shah; Ravindra Mukhiya; Rishi Sharma 002 (IEEE DataPort, 2022)

Towards solving NLP tasks with optimal transport loss. - Rishabh Bhardwaj; Tushar Vaidya; Soujanya Poria (J. King Saud Univ. Comput. Inf. Sci., 2022)

Adaptation Approaches for Nearest Neighbor Language Models. - Rishabh Bhardwaj; George Polovets; Monica Sunkara (ACL (Findings), 2023)

A Robust Information-Masking Approach for Domain Counterfactual Generation. - Pengfei Hong; Rishabh Bhardwaj; Navonil Majumder; Somak Aditya; Soujanya Poria (ACL (Findings), 2023)

kNN-CM: A Non-parametric Inference-Phase Adaptation of Parametric Text Classifiers. - Rishabh Bhardwaj; Yingting Li; Navonil Majumder; Bo Cheng 001; Soujanya Poria (EMNLP (Findings), 2023)

Adapter Pruning using Tropical Characterization. - Rishabh Bhardwaj; Tushar Vaidya; Soujanya Poria (EMNLP (Findings), 2023)

Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech Understanding. - Yingting Li; Ambuj Mehrish; Rishabh Bhardwaj; Navonil Majumder; Bo Cheng 001; Shuai Zhao 001; Amir Zadeh 001; Rada Mihalcea; Soujanya Poria (ICASSP, 2023)

Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech Understanding. - Yingting Li; Ambuj Mehrish; Shuai Zhao 001; Rishabh Bhardwaj; Amir Zadeh 001; Navonil Majumder; Rada Mihalcea; Soujanya Poria (CoRR, 2023)

ReMask: A Robust Information-Masking Approach for Domain Counterfactual Generation. - Pengfei Hong; Rishabh Bhardwaj; Navonil Majumder; Somak Aditya; Soujanya Poria (CoRR, 2023)

Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment. - Rishabh Bhardwaj; Soujanya Poria (CoRR, 2023)

Language Model Unalignment: Parametric Red-Teaming to Expose Hidden Harms and Biases. - Rishabh Bhardwaj; Soujanya Poria (CoRR, 2023)

Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic. - Rishabh Bhardwaj; Do Duc Anh; Soujanya Poria (ACL (1), 2024)

HYPERTTS: Parameter Efficient Adaptation in Text to Speech Using Hypernetworks. - Yingting Li; Rishabh Bhardwaj; Ambuj Mehrish; Bo Cheng 001; Soujanya Poria (LREC/COLING, 2024)

Advanced Severity Analysis of Garlic Leaf Disease Using Federated Learning and CNN Techniques. - Shiva Mehta; Rishabh Bhardwaj (ICCCNT, 2024)

Leveraging CNN-SVM Intelligence for Enhanced Horse Disease Insights. - Shiva Mehta; Rishabh Bhardwaj (ICCCNT, 2024)

Eye movement analysis for real-world settings using segmented linear regression. - Kritika Johari; Rishabh Bhardwaj; Jung-Jae Kim 001; Wei Quin Yow; U-Xuan Tan (Comput. Biol. Medicine, 2024)

DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling. - Pala Tej Deep; Rishabh Bhardwaj; Soujanya Poria (CoRR, 2024)

Ruby Teaming: Improving Quality Diversity Search with Memory for Automated Red Teaming. - Vernon Toh Yan Han; Rishabh Bhardwaj; Soujanya Poria (CoRR, 2024)

WalledEval: A Comprehensive Safety Evaluation Toolkit for Large Language Models. - Prannaya Gupta; Le Qi Yau; Hao Han Low; I-Shiang Lee; Hugo Maximus Lim; Yu Xin Teoh; Jia Hng Koh; Dar Win Liew; Rishabh Bhardwaj; Rajat Bhardwaj; Soujanya Poria (CoRR, 2024)

Ferret: Faster and Effective Automated Red Teaming with Reward-Based Scoring Technique. - Pala Tej Deep; Vernon Toh Yan Han; Rishabh Bhardwaj; Soujanya Poria (CoRR, 2024)

Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability. - Haonan Li 002; Xudong Han; Zenan Zhai; Honglin Mu; Hao Wang; Zhenxuan Zhang; Yilin Geng; Shom Lin; Renxi Wang; Artem Shelmanov; Xiangyu Qi; Yuxia Wang; et al. (CoRR, 2024)

Manufacturing domain instruction comprehension using synthetic data. - Kritika Johari; Christopher Tay Zi Tong; Rishabh Bhardwaj; Vigneshwaran Subbaraju; Jung-Jae Kim 001; U-Xuan Tan (Vis. Comput., 2024)

Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse. - Maojia Song; Shang Hong Sim; Rishabh Bhardwaj; Hai Leong Chieu; Navonil Majumder; Soujanya Poria (ICLR, 2025)

Low-Frequency Noise Mitigation in Short-Term Voltage Sweeps Using Predictive Active Noise Cancellation in a Dual-DAC System. - Rajat Bharadwaj; Shakthidhar Vilvanathan; Rishabh Bhardwaj; Madhu Thalakulam (IEEE Trans. Instrum. Meas., 2025)

MSTS: A Multimodal Safety Test Suite for Vision-Language Models. - Paul Röttger; Giuseppe Attanasio; Felix Friedrich; Janis Goldzycher; Alicia Parrish; Rishabh Bhardwaj; Chiara Di Bonaventura; Roman Eng; Gaia El Khoury Geagea; Subhra S. Goswami; Jieun Han; Dirk Hovy; et al. (CoRR, 2025)

Evaluating AI for Finance: Is AI Credible at Assessing Investment Risk? - Divij Chawla; Ashita Bhutada; Do Duc Anh; Abhinav Raghunathan; Vinod SP; Cathy Guo; Dar Win Liew; Prannaya Gupta; Rishabh Bhardwaj; Rajat Bhardwaj; Soujanya Poria (CoRR, 2025)