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Parmar, Mihir

  1. Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
    2022/04/16 by Yizhong Wang, Swaroop Mishra, Wang, Yizhong +77 · 63 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Text Readability and Simplification
  2. LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models
    2024/04/23 by Mihir Parmar, Parmar, Mihir, Nisarg Patel +13 · 14 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling
  3. Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models
    2024/06/24 by Patel, Nisarg, Kulkarni, Mohith, Parmar, Mihir +4 · 15 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  4. Polymath: A Challenging Multi-modal Mathematical Reasoning Benchmark
    2024/10/06 by Himanshu Gupta, Shreyas Verma, Gupta, Himanshu +11 · 9 citations
    Computer Science · Social Sciences · #Intelligent Tutoring Systems and Adaptive Learning #Mathematics Education and Teaching Techniques
  5. Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models
    2023/10/02 by Man Luo, Shrinidhi Kumbhar, Luo, Man +13 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Semantic Web and Ontologies
  6. A Survey of Small Language Models
    2024/10/25 by Van Nguyen, Chien, Shen, Xuan, Aponte, Ryan +25 · 7 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  7. Step-by-Step Reasoning to Solve Grid Puzzles: Where do LLMs Falter?
    2024/07/20 by Nemika Tyagi, Mihir Parmar, Tyagi, Nemika +13 · 7 citations
    Computer Science · Business, Management and Accounting · #Constraint Satisfaction and Optimization #AI-based Problem Solving and Planning #Business Process Modeling and Analysis
  8. Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions
    2022/05/01 by Parmar, Mihir, Mishra, Swaroop, Geva, Mor +1 · 3 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  9. Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoning
    2025/02/08 by Venkatesh Mishra, Bimsara Pathiraja, Mishra, Venkatesh +13 · 6 citations
    Computer Science · Social Sciences · #Artificial Intelligence in Law #Computation and Language (cs.CL) #FOS: Computer and information sciences #Law, AI, and Intellectual Property #Legal Education and Practice Innovations
  10. PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving
    2025/02/22 by Parmar, Mihir, Liu, Xin, Goyal, Palash +11 · 6 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  11. MDDial: A Multi-turn Differential Diagnosis Dialogue Dataset with Reliability Evaluation
    2023/08/16 by Macherla, Srija, Luo, Man, Parmar, Mihir +1 · 2 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  12. TarGEN: Targeted Data Generation with Large Language Models
    2023/10/27 by Himanshu Gupta, Gupta, Himanshu, Kevin Scaria +13 · 2 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Speech Recognition and Synthesis
  13. Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs
    2024/07/05 by Parmar, Mihir, Deilamsalehy, Hanieh, Dernoncourt, Franck +3 · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  14. How Many Data Samples is an Additional Instruction Worth?
    2022/03/17 by Puri, Ravsehaj Singh, Mishra, Swaroop, Parmar, Mihir +1 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  15. BioTABQA: Instruction Learning for Biomedical Table Question Answering
    2022/07/06 by Man Luo, Sharad Saxena, Luo, Man +7 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Bioinformatics #Text and Document Classification Technologies #Topic Modeling
  16. VeriGuard: Enhancing LLM Agent Safety via Verified Code Generation
    2025/10/03 by Miculicich, Lesly, Parmar, Mihir, Palangi, Hamid +4 · 3 citations
    #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #I.2.7 #Software Engineering (cs.SE)
  17. ThinkTuning: Instilling Cognitive Reflections without Distillation
    2025/08/11 by RRV, Aswin, Dineen, Jacob, Handa, Divij +4 · 6 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  18. PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving
    2025/07/10 by Parmar, Mihir, Goyal, Palash, Liu, Xin +5 · 3 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences