Novel Adaptive Generative Adversarial Network for Voice Conversion. - Maitreya Patel; Mihir Parmar; Savan Doshi; Nirmesh J. Shah; Hemant A. Patil (APSIPA, 2019)

Effectiveness of Cross-Domain Architectures for Whisper-to-Normal Speech Conversion. - Mihir Parmar; Savan Doshi; Nirmesh J. Shah; Maitreya Patel; Hemant A. Patil (EUSIPCO, 2019)

Novel Inception-GAN for Whispered-to-Normal Speech Conversion. - Maitreya Patel; Mihir Parmar; Savan Doshi; Nirmesh Shah; Hemant A. Patil (SSW, 2019)

Weak Speech Supervision: A case study of Dysarthria Severity Classification. - Mirali Purohit; Mihir Parmar; Maitreya Patel; Harshit Malaviya; Hemant A. Patil (EUSIPCO, 2020)

Intelligibility Improvement of Dysarthric Speech using MMSE DiscoGAN. - Mirali Purohit; Maitreya Patel; Harshit Malaviya; Ankur T. Patil; Mihir Parmar; Nirmesh J. Shah; Savan Doshi; Hemant A. Patil (SPCOM, 2020)

Fundamental Challenges in Deep Learning for Stiff Contact Dynamics. - Mihir Parmar; Mathew Halm; Michael Posa (IROS, 2021)

COVID-19: Comparative Analysis of Methods for Identifying Articles Related to Therapeutics and Vaccines without Using Labeled Data. - Mihir Parmar; Ashwin Karthik Ambalavanan; Hong Guan; Rishab Banerjee; Jitesh Pabla; Murthy V. Devarakonda (CoRR, 2021)

Residual Neural Network precisely quantifies dysarthria severity-level based on short-duration speech segments. - Siddhant Gupta; Ankur T. Patil; Mirali Purohit; Mihir Parmar; Maitreya Patel; Hemant A. Patil; Rodrigo Capobianco Guido (Neural Networks, 2021)

BioTABQA: Instruction Learning for Biomedical Table Question Answering. - Man Luo 003; Sharad Saxena; Swaroop Mishra; Mihir Parmar; Chitta Baral (CLEF (Working Notes), 2022)

Less is More: Summary of Long Instructions is Better for Program Synthesis. - Kirby Kuznia; Swaroop Mishra; Mihir Parmar; Chitta Baral (EMNLP, 2022)

Is a Question Decomposition Unit All We Need? - Pruthvi Patel; Swaroop Mishra; Mihir Parmar; Chitta Baral (EMNLP, 2022)

Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks. - Yizhong Wang; Swaroop Mishra; Pegah Alipoormolabashi; Yeganeh Kordi; Amirreza Mirzaei; Atharva Naik; Arjun Ashok; Arut Selvan Dhanasekaran; Anjana Arunkumar; David Stap; Eshaan Pathak; Giannis Karamanolakis; et al. (EMNLP, 2022)

In-BoXBART: Get Instructions into Biomedical Multi-Task Learning. - Mihir Parmar; Swaroop Mishra; Mirali Purohit; Man Luo 003; Murad Mohammad; Chitta Baral (NAACL-HLT (Findings), 2022)

In-BoXBART: Get Instructions into Biomedical Multi-Task Learning. - Mihir Parmar; Swaroop Mishra; Mirali Purohit; Man Luo 003; M. Hassan Murad; Chitta Baral (CoRR, 2022)

Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks. - Yizhong Wang; Swaroop Mishra; Pegah Alipoormolabashi; Yeganeh Kordi; Amirreza Mirzaei; Anjana Arunkumar; Arjun Ashok; Arut Selvan Dhanasekaran; Atharva Naik; David Stap; Eshaan Pathak; Giannis Karamanolakis; et al. (CoRR, 2022)

Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions. - Mihir Parmar; Swaroop Mishra; Mor Geva; Chitta Baral (EACL, 2023)

How Many Data Samples is an Additional Instruction Worth? - Ravsehaj Singh Puri; Swaroop Mishra; Mihir Parmar; Chitta Baral (EACL (Findings), 2023)

LogicAttack: Adversarial Attacks for Evaluating Logical Consistency of Natural Language Inference. - Mutsumi Nakamura; Santosh Mashetty; Mihir Parmar; Neeraj Varshney; Chitta Baral (EMNLP (Findings), 2023)

Can NLP Models Correctly Reason Over Contexts that Break the Common Assumptions? - Neeraj Varshney; Mihir Parmar; Nisarg Patel; Divij Handa; Sayantan Sarkar; Man Luo 003; Chitta Baral (CoRR, 2023)

EDM3: Event Detection as Multi-task Text Generation. - Ujjwala Anantheswaran; Himanshu Gupta; Mihir Parmar; Kuntal Kumar Pal; Chitta Baral (CoRR, 2023)

MDDial: A Multi-turn Differential Diagnosis Dialogue Dataset with Reliability Evaluation. - Srija Macherla; Man Luo 003; Mihir Parmar; Chitta Baral (CoRR, 2023)

Can NLP Models 'Identify', 'Distinguish', and 'Justify' Questions that Don't have a Definitive Answer? - Ayushi Agarwal; Nisarg Patel; Neeraj Varshney; Mihir Parmar; Pavan Mallina; Aryan Bhavin Shah; Srihari Raju Sangaraju; Tirth Patel; Nihar Thakkar; Chitta Baral (CoRR, 2023)

Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models. - Man Luo 003; Shrinidhi Kumbhar; Ming Shen; Mihir Parmar; Neeraj Varshney; Pratyay Banerjee; Somak Aditya; Chitta Baral (CoRR, 2023)

TarGEN: Targeted Data Generation with Large Language Models. - Himanshu Gupta; Kevin Scaria; Ujjwala Anantheswaran; Shreyas Verma; Mihir Parmar; Saurabh Arjun Sawant; Chitta Baral; Swaroop Mishra (CoRR, 2023)

Accelerating LLM Inference by Enabling Intermediate Layer Decoding. - Neeraj Varshney; Agneet Chatterjee; Mihir Parmar; Chitta Baral (CoRR, 2023)

LongBoX: Evaluating Transformers on Long-Sequence Clinical Tasks. - Mihir Parmar; Aakanksha Naik; Himanshu Gupta; Disha Agrawal; Chitta Baral (CoRR, 2023)

LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models. - Mihir Parmar; Nisarg Patel; Neeraj Varshney; Mutsumi Nakamura; Man Luo 003; Santosh Mashetty; Arindam Mitra; Chitta Baral (ACL (1), 2024)

Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs. - Mihir Parmar; Hanieh Deilamsalehy; Franck Dernoncourt; Seunghyun Yoon 002; Ryan A. Rossi; Trung Bui (EMNLP, 2024)

Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models. - Nisarg Patel; Mohith Kulkarni; Mihir Parmar; Aashna Budhiraja; Mutsumi Nakamura; Neeraj Varshney; Chitta Baral (EMNLP, 2024)

Step-by-Step Reasoning to Solve Grid Puzzles: Where do LLMs Falter? - Nemika Tyagi; Mihir Parmar; Mohith Kulkarni; Aswin RRV; Nisarg Patel; Mutsumi Nakamura; Arindam Mitra; Chitta Baral (EMNLP, 2024)

Investigating Acceleration of LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with 'LITE'. - Neeraj Varshney; Agneet Chatterjee; Mihir Parmar; Chitta Baral (NAACL-HLT (Findings), 2024)

EDM3: Event Detection as Multi-task Text Generation. - Ujjwala Anantheswaran; Himanshu Gupta; Mihir Parmar; Kuntal Pal; Chitta Baral (*SEM@NAACL, 2024)

Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models. - Mihir Parmar; Nisarg Patel; Neeraj Varshney; Mutsumi Nakamura; Man Luo 003; Santosh Mashetty; Arindam Mitra; Chitta Baral (CoRR, 2024)

Polymath: A Challenging Multi-modal Mathematical Reasoning Benchmark. - Himanshu Gupta; Shreyas Verma; Ujjwala Anantheswaran; Kevin Scaria; Mihir Parmar; Swaroop Mishra; Chitta Baral (CoRR, 2024)

A Survey of Small Language Models. - Chien Van Nguyen; Xuan Shen; Ryan Aponte; Yu Xia 007; Samyadeep Basu; Zhengmian Hu; Jian Chen 043; Mihir Parmar; Sasidhar Kunapuli; Joe Barrow; Junda Wu; Ashish Singh; et al. (CoRR, 2024)

Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoning. - Venkatesh Mishra; Bimsara Pathiraja; Mihir Parmar; Sat Chidananda; Jayanth Srinivasa; Gaowen Liu; Ali Payani; Chitta Baral (NAACL (Findings), 2025)

PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving. - Mihir Parmar; Xin Liu; Palash Goyal; Yanfei Chen; Long T. Le; Swaroop Mishra; Hossein Mobahi; Jindong Gu; Zifeng Wang 002; Hootan Nakhost; Chitta Baral; Chen-Yu Lee; et al. (CoRR, 2025)

PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving. - Mihir Parmar; Palash Goyal; Xin Liu; Yiwen Song; Mingyang Ling; Chitta Baral; Hamid Palangi; Tomas Pfister (CoRR, 2025)

ThinkTuning: Instilling Cognitive Reflections without Distillation. - Aswin RRV; Jacob Dineen; Divij Handa; Md Nayem Uddin; Mihir Parmar; Chitta Baral; Ben Zhou (CoRR, 2025)