default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMihir Parmar
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c20]Mihir Parmar, Nisarg Patel, Neeraj Varshney, Mutsumi Nakamura, Man Luo, Santosh Mashetty, Arindam Mitra, Chitta Baral:
LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models. ACL (1) 2024: 13679-13707- [c19]Mihir Parmar, Hanieh Deilamsalehy, Franck Dernoncourt, Seunghyun Yoon, Ryan A. Rossi, Trung Bui:
Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs. EMNLP 2024: 19810-19820 - [c18]Nemika Tyagi, Mihir Parmar, Mohith Kulkarni, Aswin RRV, Nisarg Patel, Mutsumi Nakamura, Arindam Mitra, Chitta Baral:
Step-by-Step Reasoning to Solve Grid Puzzles: Where do LLMs Falter? EMNLP 2024: 19898-19915 - [c17]Nisarg Patel, Mohith Kulkarni, Mihir Parmar, Aashna Budhiraja, Mutsumi Nakamura, Neeraj Varshney, Chitta Baral:
Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models. EMNLP 2024: 20856-20879 - [c16]Neeraj Varshney, Agneet Chatterjee, Mihir Parmar, Chitta Baral:
Investigating Acceleration of LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with 'LITE'. NAACL-HLT (Findings) 2024: 3656-3677 - [c15]Ujjwala Anantheswaran, Himanshu Gupta, Mihir Parmar, Kuntal Pal, Chitta Baral:
EDM3: Event Detection as Multi-task Text Generation. *SEM@NAACL 2024: 438-451 - [i21]Mihir Parmar, Nisarg Patel, Neeraj Varshney, Mutsumi Nakamura, Man Luo, Santosh Mashetty, Arindam Mitra, Chitta Baral:
Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models. CoRR abs/2404.15522 (2024) - [i20]Nisarg Patel, Mohith Kulkarni, Mihir Parmar, Aashna Budhiraja, Mutsumi Nakamura, Neeraj Varshney, Chitta Baral:
Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models. CoRR abs/2406.17169 (2024) - [i19]Mihir Parmar, Hanieh Deilamsalehy, Franck Dernoncourt, Seunghyun Yoon, Ryan A. Rossi, Trung Bui:
Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs. CoRR abs/2407.04855 (2024) - [i18]Nemika Tyagi, Mihir Parmar, Mohith Kulkarni, Aswin RRV, Nisarg Patel, Mutsumi Nakamura, Arindam Mitra, Chitta Baral:
Step-by-Step Reasoning to Solve Grid Puzzles: Where do LLMs Falter? CoRR abs/2407.14790 (2024) - 2023
- [c14]Ravsehaj Singh Puri, Swaroop Mishra, Mihir Parmar, Chitta Baral:
How Many Data Samples is an Additional Instruction Worth? EACL (Findings) 2023: 1012-1027 - [c13]Mihir Parmar, Swaroop Mishra, Mor Geva, Chitta Baral:
Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions. EACL 2023: 1771-1781 - [c12]Mutsumi Nakamura, Santosh Mashetty, Mihir Parmar, Neeraj Varshney, Chitta Baral:
LogicAttack: Adversarial Attacks for Evaluating Logical Consistency of Natural Language Inference. EMNLP (Findings) 2023: 13322-13334 - [i17]Neeraj Varshney, Mihir Parmar, Nisarg Patel, Divij Handa, Sayantan Sarkar, Man Luo, Chitta Baral:
Can NLP Models Correctly Reason Over Contexts that Break the Common Assumptions? CoRR abs/2305.12096 (2023) - [i16]Ujjwala Anantheswaran, Himanshu Gupta, Mihir Parmar, Kuntal Kumar Pal, Chitta Baral:
EDM3: Event Detection as Multi-task Text Generation. CoRR abs/2305.16357 (2023) - [i15]Srija Macherla, Man Luo, Mihir Parmar, Chitta Baral:
MDDial: A Multi-turn Differential Diagnosis Dialogue Dataset with Reliability Evaluation. CoRR abs/2308.08147 (2023) - [i14]Ayushi Agarwal, Nisarg Patel, Neeraj Varshney, Mihir Parmar, Pavan Mallina, Aryan Bhavin Shah, Srihari Raju Sangaraju, Tirth Patel, Nihar Thakkar, Chitta Baral:
Can NLP Models 'Identify', 'Distinguish', and 'Justify' Questions that Don't have a Definitive Answer? CoRR abs/2309.04635 (2023) - [i13]Man Luo, Shrinidhi Kumbhar, Ming Shen, Mihir Parmar, Neeraj Varshney, Pratyay Banerjee, Somak Aditya, Chitta Baral:
Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models. CoRR abs/2310.00836 (2023) - [i12]Himanshu Gupta, Kevin Scaria, Ujjwala Anantheswaran, Shreyas Verma, Mihir Parmar, Saurabh Arjun Sawant, Chitta Baral, Swaroop Mishra:
TarGEN: Targeted Data Generation with Large Language Models. CoRR abs/2310.17876 (2023) - [i11]Neeraj Varshney, Agneet Chatterjee, Mihir Parmar, Chitta Baral:
Accelerating LLM Inference by Enabling Intermediate Layer Decoding. CoRR abs/2310.18581 (2023) - [i10]Mihir Parmar, Aakanksha Naik, Himanshu Gupta, Disha Agrawal, Chitta Baral:
LongBoX: Evaluating Transformers on Long-Sequence Clinical Tasks. CoRR abs/2311.09564 (2023) - 2022
- [c11]Man Luo, Sharad Saxena, Swaroop Mishra, Mihir Parmar, Chitta Baral:
BioTABQA: Instruction Learning for Biomedical Table Question Answering. CLEF (Working Notes) 2022: 291-304 - [c10]Kirby Kuznia, Swaroop Mishra, Mihir Parmar, Chitta Baral:
Less is More: Summary of Long Instructions is Better for Program Synthesis. EMNLP 2022: 4532-4552 - [c9]Pruthvi Patel, Swaroop Mishra, Mihir Parmar, Chitta Baral:
Is a Question Decomposition Unit All We Need? EMNLP 2022: 4553-4569 - [c8]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:
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks. EMNLP 2022: 5085-5109 - [c7]Mihir Parmar, Swaroop Mishra, Mirali Purohit, Man Luo, Murad Mohammad, Chitta Baral:
In-BoXBART: Get Instructions into Biomedical Multi-Task Learning. NAACL-HLT (Findings) 2022: 112-128 - [i9]Kirby Kuznia, Swaroop Mishra, Mihir Parmar, Chitta Baral:
Less is More: Summary of Long Instructions is Better for Program Synthesis. CoRR abs/2203.08597 (2022) - [i8]Ravsehaj Singh Puri, Swaroop Mishra, Mihir Parmar, Chitta Baral:
How Many Data Samples is an Additional Instruction Worth? CoRR abs/2203.09161 (2022) - [i7]Mihir Parmar, Swaroop Mishra, Mirali Purohit, Man Luo, M. Hassan Murad, Chitta Baral:
In-BoXBART: Get Instructions into Biomedical Multi-Task Learning. CoRR abs/2204.07600 (2022) - [i6]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:
Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks. CoRR abs/2204.07705 (2022) - [i5]Mihir Parmar, Swaroop Mishra, Mor Geva, Chitta Baral:
Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions. CoRR abs/2205.00415 (2022) - [i4]Pruthvi Patel, Swaroop Mishra, Mihir Parmar, Chitta Baral:
Is a Question Decomposition Unit All We Need? CoRR abs/2205.12538 (2022) - [i3]Man Luo, Sharad Saxena, Swaroop Mishra, Mihir Parmar, Chitta Baral:
BioTABQA: Instruction Learning for Biomedical Table Question Answering. CoRR abs/2207.02419 (2022) - 2021
- [j1]Siddhant Gupta, Ankur T. Patil, Mirali Purohit, Mihir Parmar, Maitreya Patel, Hemant A. Patil, Rodrigo Capobianco Guido:
Residual Neural Network precisely quantifies dysarthria severity-level based on short-duration speech segments. Neural Networks 139: 105-117 (2021) - [c6]Mihir Parmar, Mathew Halm, Michael Posa:
Fundamental Challenges in Deep Learning for Stiff Contact Dynamics. IROS 2021: 5181-5188 - [i2]Mihir Parmar, Ashwin Karthik Ambalavanan, Hong Guan, Rishab Banerjee, Jitesh Pabla, Murthy V. Devarakonda:
COVID-19: Comparative Analysis of Methods for Identifying Articles Related to Therapeutics and Vaccines without Using Labeled Data. CoRR abs/2101.02017 (2021) - [i1]Mihir Parmar, Mathew Halm, Michael Posa:
Fundamental Challenges in Deep Learning for Stiff Contact Dynamics. CoRR abs/2103.15406 (2021) - 2020
- [c5]Mirali Purohit, Mihir Parmar, Maitreya Patel, Harshit Malaviya, Hemant A. Patil:
Weak Speech Supervision: A case study of Dysarthria Severity Classification. EUSIPCO 2020: 101-105 - [c4]Mirali Purohit, Maitreya Patel, Harshit Malaviya, Ankur T. Patil, Mihir Parmar, Nirmesh J. Shah, Savan Doshi, Hemant A. Patil:
Intelligibility Improvement of Dysarthric Speech using MMSE DiscoGAN. SPCOM 2020: 1-5
2010 – 2019
- 2019
- [c3]Maitreya Patel, Mihir Parmar, Savan Doshi, Nirmesh J. Shah, Hemant A. Patil:
Novel Adaptive Generative Adversarial Network for Voice Conversion. APSIPA 2019: 1273-1281 - [c2]Mihir Parmar, Savan Doshi, Nirmesh J. Shah, Maitreya Patel, Hemant A. Patil:
Effectiveness of Cross-Domain Architectures for Whisper-to-Normal Speech Conversion. EUSIPCO 2019: 1-5 - [c1]Maitreya Patel, Mihir Parmar, Savan Doshi, Nirmesh Shah, Hemant A. Patil:
Novel Inception-GAN for Whispered-to-Normal Speech Conversion. SSW 2019: 87-92
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-15 19:33 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
