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2. Understanding and Estimating Domain Complexity Across Domains

3. HALO: An Ontology for Representing Hallucinations in Generative Models

4. How does prompt engineering affect ChatGPT performance on unsupervised entity resolution?

5. A Knowledge Graph-Based Search Engine for Robustly Finding Doctors and Locations in the Healthcare Domain

6. A Formalism and Approach for Improving Robustness of Large Language Models Using Risk-Adjusted Confidence Scores

7. Named Entity Resolution in Personal Knowledge Graphs

8. A structural study of Big Tech firm-switching of inventors in the post-recession era

9. Toward Defining a Domain Complexity Measure Across Domains

10. A Pilot Evaluation of ChatGPT and DALL-E 2 on Decision Making and Spatial Reasoning

12. On the Empirical Association between Trade Network Complexity and Global Gross Domestic Product

13. Can Language Representation Models Think in Bets?

14. Understanding Substructures in Commonsense Relations in ConceptNet

15. Understanding Prior Bias and Choice Paralysis in Transformer-based Language Representation Models through Four Experimental Probes

17. Robust Quantification of Gender Disparity in Pre-Modern English Literature using Natural Language Processing

18. A Theoretically Grounded Benchmark for Evaluating Machine Commonsense

19. Can Scale-free Network Growth with Triad Formation Capture Simplicial Complex Distributions in Real Communication Networks?

21. Understanding COVID-19 Vaccine Reaction through Comparative Analysis on Twitter

22. Quantifying Gender Disparity in Pre-Modern English Literature using Natural Language Processing.

25. Predicting Zip Code-Level Vaccine Hesitancy in US Metropolitan Areas Using Machine Learning Models on Public Tweets

29. Evaluating Language Representation Models on Approximately Rational Decision Making Problems

30. Decision Making in Monopoly using a Hybrid Deep Reinforcement Learning Approach

32. Populating a Linked Data Entity Name System : A Big Data Solution to Unsupervised Instance Matching

33. A Data-Driven Study of Commonsense Knowledge using the ConceptNet Knowledge Base

34. Do Fine-tuned Commonsense Language Models Really Generalize?

36. On using Product-Specific from Web Data Commons: An Empirical Set of Best Practices

37. An Experimental Study of The Effects of Position Bias on Emotion CauseExtraction

44. Unsupervised Hashtag Retrieval and Visualization for Crisis Informatics

45. A Pipeline for Post-Crisis Twitter Data Acquisition

46. FlagIt: A System for Minimally Supervised Human Trafficking Indicator Mining

47. Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection

48. Using Contexts and Constraints for Improved Geotagging of Human Trafficking Webpages

49. Predicting Role Relevance with Minimal Domain Expertise in a Financial Domain

50. Supervised Typing of Big Graphs using Semantic Embeddings


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