Mihir Parmar
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
6
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | CoAct: Co-Active LLM Preference Learning with Human-AI Synergy. | Ruiyao Xu, Mihir Parmar, Tiankai Yang, Zhengyu Hu, Yue Zhao, Kaize Ding |
| 2025 | EMNLP | 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 |
| 2025 | EMNLP | 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, Hootan Nakhost, Chitta Baral, Chen-Yu Lee, Tomas Pfister, Hamid Palangi |
| 2025 | EMNLP | ThinkTuning: Instilling Cognitive Reflections without Distillation. | Aswin RRV, Jacob Dineen, Divij Handa, Md Nayem Uddin, Mihir Parmar, Chitta Baral, Ben Zhou |
| 2025 | NAACL | 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 |
| 2025 | RANLP | A Survey on 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, Nesreen K. Ahmed, Nedim Lipka, Ruiyi Zhang, Xiang Chen, Tong Yu, Sungchul Kim, Hanieh Deilamsalehy, Namyong Park, Michael Rimer, Zhehao Zhang, Huanrui Yang, Puneet Mathur, Gang Wu, Franck Dernoncourt, Ryan A. Rossi, Thien Huu Nguyen |
| 2024 | ACL | 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 |
| 2024 | EMNLP | Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs. | Mihir Parmar, Hanieh Deilamsalehy, Franck Dernoncourt, Seunghyun Yoon, Ryan A. Rossi, Trung Bui |
| 2024 | EMNLP | 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 |
| 2024 | EMNLP | 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 |
| 2024 | NAACL | Investigating Acceleration of LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with 'LITE'. | Neeraj Varshney, Agneet Chatterjee, Mihir Parmar, Chitta Baral |
| 2023 | EACL | Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions. | Mihir Parmar, Swaroop Mishra, Mor Geva, Chitta Baral |
| 2023 | EACL | How Many Data Samples is an Additional Instruction Worth? | Ravsehaj Singh Puri, Swaroop Mishra, Mihir Parmar, Chitta Baral |
| 2023 | EMNLP | LogicAttack: Adversarial Attacks for Evaluating Logical Consistency of Natural Language Inference. | Mutsumi Nakamura, Santosh Mashetty, Mihir Parmar, Neeraj Varshney, Chitta Baral |
| 2022 | EMNLP | Less is More: Summary of Long Instructions is Better for Program Synthesis. | Kirby Kuznia, Swaroop Mishra, Mihir Parmar, Chitta Baral |
| 2022 | EMNLP | Is a Question Decomposition Unit All We Need? | Pruthvi Patel, Swaroop Mishra, Mihir Parmar, Chitta Baral |
| 2022 | EMNLP | 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 |
| 2022 | NAACL | In-BoXBART: Get Instructions into Biomedical Multi-Task Learning. | Mihir Parmar, Swaroop Mishra, Mirali Purohit, Man Luo, Murad Mohammad, Chitta Baral |
| 2021 | IROS | Fundamental Challenges in Deep Learning for Stiff Contact Dynamics. | Mihir Parmar, Mathew Halm, Michael Posa |