Mihir Parmar

According to our database, Mihir Parmar authored at least 35 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Survey of Small Language Models.

Chien Van Nguyen, Xuan Shen, Ryan Aponte, Yu Xia, Samyadeep Basu, Zhengmian Hu, Jian Chen, Mihir Parmar, Sasidhar Kunapuli, Joe Barrow, Junda Wu, Ashish Singh, Yu Wang, Jiuxiang Gu, Franck Dernoncourt, Nesreen K. Ahmed, Nedim Lipka, Ruiyi Zhang, Xiang Chen, Tong Yu, Sungchul Kim, Hanieh Deilamsalehy, Namyong Park, Mike Rimer, Zhehao Zhang, Huanrui Yang, Ryan A. Rossi, Thien Huu Nguyen

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

Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models.

Mihir Parmar, Nisarg Patel, Neeraj Varshney, Mutsumi Nakamura, Man Luo, Santosh Mashetty, Arindam Mitra, Chitta Baral

CoRR, 2024

EDM3: Event Detection as Multi-task Text Generation.

Ujjwala Anantheswaran, Himanshu Gupta, Mihir Parmar, Kuntal Pal, Chitta Baral

Proceedings of the 13th Joint Conference on Lexical and Computational Semantics, 2024

Investigating Acceleration of LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with 'LITE'.

Neeraj Varshney, Agneet Chatterjee, Mihir Parmar, Chitta Baral

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs.

Mihir Parmar, Hanieh Deilamsalehy, Franck Dernoncourt, Seunghyun Yoon, Ryan A. Rossi, Trung Bui

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models.

Mihir Parmar, Nisarg Patel, Neeraj Varshney, Mutsumi Nakamura, Man Luo, Santosh Mashetty, Arindam Mitra, Chitta Baral

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

LongBoX: Evaluating Transformers on Long-Sequence Clinical Tasks.

Mihir Parmar, Aakanksha Naik, Himanshu Gupta, Disha Agrawal, Chitta Baral

CoRR, 2023

Accelerating LLM Inference by Enabling Intermediate Layer Decoding.

Neeraj Varshney, Agneet Chatterjee, Mihir Parmar, 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

Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models.

Man Luo, Shrinidhi Kumbhar, Ming Shen, Mihir Parmar, Neeraj Varshney, Pratyay Banerjee, Somak Aditya, 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

MDDial: A Multi-turn Differential Diagnosis Dialogue Dataset with Reliability Evaluation.

Srija Macherla, Man Luo, Mihir Parmar, 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

Can NLP Models Correctly Reason Over Contexts that Break the Common Assumptions?

Neeraj Varshney, Mihir Parmar, Nisarg Patel, Divij Handa, Sayantan Sarkar, Man Luo, Chitta Baral

CoRR, 2023

LogicAttack: Adversarial Attacks for Evaluating Logical Consistency of Natural Language Inference.

Mutsumi Nakamura, Santosh Mashetty, Mihir Parmar, Neeraj Varshney, Chitta Baral

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

How Many Data Samples is an Additional Instruction Worth?

Ravsehaj Singh Puri, Swaroop Mishra, Mihir Parmar, Chitta Baral

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions.

Mihir Parmar, Swaroop Mishra, Mor Geva, Chitta Baral

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

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, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Maitreya Patel, Kuntal Kumar Pal, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Shailaja Keyur Sampat, Savan Doshi, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, Xudong Shen, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi, Noah A. Smith, Daniel Khashabi

CoRR, 2022

In-BoXBART: Get Instructions into Biomedical Multi-Task Learning.

Mihir Parmar, Swaroop Mishra, Mirali Purohit, Man Luo, M. Hassan Murad, Chitta Baral

CoRR, 2022

In-BoXBART: Get Instructions into Biomedical Multi-Task Learning.

Mihir Parmar, Swaroop Mishra, Mirali Purohit, Man Luo, Murad Mohammad, Chitta Baral

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 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, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Kuntal Kumar Pal, Maitreya Patel, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Savan Doshi, Shailaja Keyur Sampat, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, Xudong Shen

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Is a Question Decomposition Unit All We Need?

Pruthvi Patel, Swaroop Mishra, Mihir Parmar, Chitta Baral

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Less is More: Summary of Long Instructions is Better for Program Synthesis.

Kirby Kuznia, Swaroop Mishra, Mihir Parmar, Chitta Baral

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

BioTABQA: Instruction Learning for Biomedical Table Question Answering.

Man Luo, Sharad Saxena, Swaroop Mishra, Mihir Parmar, Chitta Baral

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

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

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

Fundamental Challenges in Deep Learning for Stiff Contact Dynamics.

Mihir Parmar, Mathew Halm, Michael Posa

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

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

Proceedings of the International Conference on Signal Processing and Communications, 2020

Weak Speech Supervision: A case study of Dysarthria Severity Classification.

Mirali Purohit, Mihir Parmar, Maitreya Patel, Harshit Malaviya, Hemant A. Patil

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Novel Inception-GAN for Whispered-to-Normal Speech Conversion.

Maitreya Patel, Mihir Parmar, Savan Doshi, Nirmesh Shah, Hemant A. Patil

Proceedings of the 10th ISCA Speech Synthesis Workshop, 2019

Effectiveness of Cross-Domain Architectures for Whisper-to-Normal Speech Conversion.

Mihir Parmar, Savan Doshi, Nirmesh J. Shah, Maitreya Patel, Hemant A. Patil

Proceedings of the 27th European Signal Processing Conference, 2019

Novel Adaptive Generative Adversarial Network for Voice Conversion.

Maitreya Patel, Mihir Parmar, Savan Doshi, Nirmesh J. Shah, Hemant A. Patil

Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019