USA.md

2020

1. Stonebraker, R. (2020). LucidDream: Dynamic Story Generation through Directed Chatbot Interactions, Master's Thesis, University of Alaska – Fairbanks

2021

1. Fang, J. (2021). An Application of Customized GPT-2 Text Generator for Modern Content Creators, Master's Thesis, University of California, Los Angeles.
2. Wu, S. (2021). Design and Implementation of LBW–A Mental Health Application for Children, Master's Thesis, Vanderbilt University.

2022

1. Jakesch, M. (2022). Assessing the Effects and Risks of Large Language Models in AI-Mediated Communication, Doctoral dissertation, Cornell University.

2. Pezeshkpour, P. (2022). Introducing Gradient-Based Methods and Diagnostic Benchmarks to Trace Errors Back to the Training Data, Doctoral dissertation, UC Irvine.

3. Robinson, J. (2022). Leveraging Large Language Models Trained on Code for Symbol Binding, Master's Thesis, Brigham Young University.

2023

1. Agashe, S. (2023). LLM-Coordination: Developing Coordinating Agents With Large Language Models, Master's Thesis, University of California, Santa Cruz.

2. Ramachandran, A (2023). Housekeep: Tidying Virtual Households using Commonsense Reasoning, Master's Thesis, Georgia Tech

3. Kwako, A. J. (2023). Mitigating Gender and L1 Biases in Automated English Speaking Assessment, Doctoral dissertation, University of California, Los Angeles.

4. Jain, P. J. (2023). Towards Robust and Scalable Large Language Models, Doctoral dissertation, University of California, Berkeley.

5. Baierl, J. D. (2023). Applications of Large Language Models in Education: Literature Review and Case Study, Master's Thesis, University of California, Los Angeles.

6. Chen, A. (2023). Factuality and Large Language Models: Evaluation, Characterization, and Correction, Doctoral dissertation, University of California, Irvine.

7. Arya, P. (2023). Creating Conversational Systems with Temporal Reasoning in Zero Resource Domains with Synthetic Data and Large Language Models, Master's Thesis, The Ohio State University.

8. Dang, J. A. M. (2023). Challenges and Methods for Alignment of Large Language Models with Human Preferences, Master's Thesis, University of California, Los Angeles.

9. Pandza, C. (2023). Using Natural Language Processing to Organize and Analyze Oral History Projects, Master's Thesis, Columbia University).

10. Mei, A. (2023). Unveiling Covert Threats: Towards Physically Safe and Transparent AI Systems, Master's Thesis, University of California, Santa Barbara).

11. Levy, S. (2023). Responsible AI via Responsible Large Language Models, Doctoral dissertation, UC Santa Barbara.

12. Kwon, T. (2023). Interfaces for Personalized Language Learning with Generative Language Models, Master's Thesis, Columbia University.

13. Byun, C. (2023). Dispensing with Humans in Human-Computer Interaction Research, Master's Thesis, Brigham Young University.

14. McHugh, J. (2023). Defensive AI: Experimental Study, Doctoral dissertation, Marymount University.

15. Wong, E. F. (2023). Causal Inference and Large Language Models from the Causal Invariance Framework, Master's Thesis, University of California, Los Angeles.

16. Rytting, C. (2021). Leveraging the inductive bias of large language models for abstract textual reasoning, Master's Thesis, Brigham Young University.

17. Alberti, C. (2023). Grounded and Consistent Question Answering, Doctoral dissertation, Columbia University.

18. Yang, Y. (2023). Enhancing Summarization and Causal Discovery: Topic Awareness, Normalizing Flows, and Hierarchical Ensembles, Doctoral dissertation, university of minnesota.

19. Khwaja, E. (2023). Autoregressive Text-to-Image Model for Protein Localization Prediction, Doctoral dissertation, University of California, San Francisco.

20. Mireshghallah, F. (2023). Auditing and Mitigating Safety Risks in Large Language Models, Doctoral dissertation, UC San Diego.

21. Pei, K. (2023). Analyzing and Securing Software via Robust and Generalizable Learning, Doctoral dissertation, Columbia University.

22. Brooks, T. (2023). Generative Models for Image and Long Video Synthesis, Doctoral dissertation, University of California, Berkeley.

23. Zuo, S. (2023). On Training, Inference, and Sample Efficiencies of Language Models, Doctoral dissertation, Georgia Tech.

24. Shrestha, A. (2023). Applying Emerging Technologies to Facilitate Participatory Modeling, Master's Thesis, Miami University).

25. Winn, O. (2023). " Seeing Red" or" Tickled Pink"?: Investigating the Power of Language and Vision Models Through Color, Emotion, and Metaphor, Doctoral dissertation, Columbia University.

26. Wang, J. (2023). Optimizing Discrete Text Prompts for Large Language Models, Master's Thesis, University of California, San Diego.

27. Kwako, A. J. (2023). Mitigating Gender and L1 Biases in Automated English Speaking Assessment, Doctoral dissertation, University of California, Los Angeles.

28. Narasimhan, M. (2023). Multimodal Long-Term Video Understanding, Doctoral dissertation, University of California, Berkeley.

29. Komatsuzaki, A., (2023). Improving Foundation Models, Doctoral Dissertation, Georgia Tech

30. Jiang, N. (2023). The Why and How of Label Variation in Natural Language Inference, Doctoral dissertation, The Ohio State University.

31. Zhang, X. (2023). Visual Analytics for Domain-Specific Knowledge Exploration and Exploitation, Doctoral dissertation, University of California, Davis.

32. Ray, A. T. (2023). Standardization Of Engineering Requirements Using Large Language Models, Doctoral Dissertation, Georgia Institute Of Technology.

33. Rahman, M. W. U. (2023). Optimizing Large Language Models for Edge Devices: A Comparative Study on Reputation Analysis, Doctoral dissertation, The University of Arizona.

34. Chen, L. (2023). PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer, Doctoral dissertation, University of Pittsburgh.

35. Deng, Y. (2023). Structure Modeling for Language Models, Doctoral dissertation, Harvard University.

36. Gamieldien, Y. (2023). Innovating the Study of Self-Regulated Learning: An Exploration through NLP, Generative AI, and LLMs, Doctoral dissertation, Virginia Tech.

37. Mandal, S. (2023). Learning-Based Automated Software Creation, Doctoral dissertation, Texas A&M University.

38. Holtzman, A. (2023). Interpretation Errors: Extracting Functionality From Generative Models of Language by Understanding Them Better, Doctoral dissertation, University of Washington.

39. Wang, Y. (2023). AI and Big Data in Health: Boosting Reliability and Efficiency in Predictive Healthcare Models, Doctoral dissertation, University of California, Santa Barbara.

40. Wang, H. (2023). Efficient Natural Language Processing with Limited Data and Resources, Doctoral dissertation, University of California, Santa Barbara.

41. Wu, T. (2023). How Machine Understands You and Me: Naturally Learn and Generalize in Task-oriented Dialogues, Doctoral dissertation, Georgia Tech.

42. Shakir, U. (2023). A Novel Method for Thematically Analyzing Student Responses to Open-ended Case Scenarios, Doctoral dissertation, Virginia Polytechnic Institute and State University.

43. Geng, S. (2023). Personalized foundation models for decision-making, Doctoral dissertation, Rutgers University-School of Graduate Studies.

44. Yue, X. (2023). Data Synthesis: Boosting Utility and Privacy in Natural Language Processing, Doctoral dissertation, The Ohio State University.

45. Jesse, K. R. (2023). Modeling Source Code For Developers, Doctoral dissertation, University of California, Davis.

46. Ahmed, T. (2023). Learning Program Embedding From Unlabeled Source Code, Doctoral dissertation, University of California, Davis.

47. Slack, D. (2023). Robust Interactions With Machine Learning Models, Doctoral dissertation, University of California, Irvine.

48. Shaw, A. G. (2023). The Influence of Political Media on Large Language Models: Impacts on Information Synthesis, Reasoning, and Demographic Representation, Master's Thesis, Brigham Young University.

49. Ansaldo, G. (2023). AgentSpeak: A Framework for Agent-Based Modeling with Integrated Large Language Models; Case Study: Analyzing Policy Interventions in Electric Vehicle Adoption, Master's Thesis, Northeastern University.

50. Chavan, A. (2023). Constituency Parsing via Few Shot Prompting, Master's Thesis, Rutgers The State University of New Jersey, School of Graduate Studies).

51. Gangadhar, G. K. (2023). When is retrieval better than generation?, Master's Thesis, Rutgers University-School of Graduate Studies.

52. Purohit, S. (2023). AI Commentator: Narrating Sports Games through Multimodal Perception and Large Language Models, Master's Thesis, MIT

53. Colón-Hernández, P. (2023). A Conversational Agent for Dynamic Procedural Interactions, Doctoral dissertation, Massachusetts Institute of Technology.

54. Garcia, D. C. (2023). Diversity Equity and Inclusion Language Analyzer, Master's Thesis, California State University System.

55. Huang, J. (2023). AI-generated Tweets Detection: A Comprehensive report for GPT3-text discrimination, Master's Thesis, California State University System.

56. Venkataramanan, A. (2023). stability. gpt: Combining GPT-4 and Stable Diffusion to Generate Storybooks That Are Textually and Visually Cohesive, Master's Thesis, University of California, Santa Cruz.

57. Press, O. (2023). Complementing Scale: Novel Guidance Methods for Improving Language Models, Doctoral dissertation, University of Washington.

58. Jones, D. (2023). Training A Soothsayer: A Study on the Efficacy and Accuracy of A ‘ChatGPT Approach’to International Relations, Master's Thesis, The University of Chicago.

2024

1. Shaik, M.K. (2024). Developing a Wikipedia-Based Q&A System with BERT and RoBERTa: A Comparative Analysis and Implications for Chat GPT, Master's Thesis, California State University System.