258 results on '"Chirag Shah"'
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2. AuditLLM: A Tool for Auditing Large Language Models Using Multiprobe Approach.
3. Can LLMs Reason Like Humans? Assessing Theory of Mind Reasoning in LLMs for Open-Ended Questions.
4. TnT-LLM: Text Mining at Scale with Large Language Models.
5. S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs.
6. Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review.
7. Envisioning Information Access Systems: What Makes for Good Tools and a Healthy Web?
8. Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models.
9. RecRec: Algorithmic Recourse for Recommender Systems.
10. A Synthetic Search Session Generator for Task-Aware Information Seeking and Retrieval.
11. Proactive Conversational Agents.
12. Taking Search to Task.
13. Representing Tasks with a Graph-Based Method for Supporting Users in Complex Search Tasks.
14. Toward Connecting Speech Acts and Search Actions in Conversational Search Tasks.
15. Proactive Conversational Agents in the Post-ChatGPT World.
16. How Many Van Goghs Does It Take to Van Gogh? Finding the Imitation Threshold.
17. Trusting Your AI Agent Emotionally and Cognitively: Development and Validation of a Semantic Differential Scale for AI Trust.
18. From Prompt Engineering to Prompt Science With Human in the Loop.
19. AuditLLM: A Tool for Auditing Large Language Models Using Multiprobe Approach.
20. TnT-LLM: Text Mining at Scale with Large Language Models.
21. Efficient and Responsible Adaptation of Large Language Models for Robust Top-k Recommendations.
22. How Well Do LLMs Represent Values Across Cultures? Empirical Analysis of LLM Responses Based on Hofstede Cultural Dimensions.
23. The Use of Generative Search Engines for Knowledge Work and Complex Tasks.
24. Do LLMs Exhibit Human-Like Reasoning? Evaluating Theory of Mind in LLMs for Open-Ended Responses.
25. Panmodal Information Interaction.
26. ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs.
27. Developing a Framework for Auditing Large Language Models Using Human-in-the-Loop.
28. Data science curriculum in the iField.
29. Report on The Web Search Revolution: Symposium.
30. Report on the 1st Workshop on Task Focused IR in the Era of Generative AI.
31. Why Am I Not Seeing It? Understanding Users' Needs for Counterfactual Explanations in Everyday Recommendations.
32. ExpScore: Learning Metrics for Recommendation Explanation.
33. Delving into Data Science Methods in Response to the COVID -19 Infodemic.
34. Situating Search.
35. Has CEO Gender Bias Really Been Fixed? Adversarial Attacking and Improving Gender Fairness in Image Search.
36. Optimization of Non-destructive Damage Detection of Hidden Damages in Fiber Metal Laminates Using X-ray Tomography and Machine Learning Algorithms.
37. Professional Development in Crisis: Toward Resilient Society.
38. Authentic versus synthetic: An investigation of the influences of study settings and task configurations on search behaviors.
39. FAIR: Fairness-aware information retrieval evaluation.
40. Investigating information seeking in physical and online environments with escape room and web search.
41. S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs.
42. RecRec: Algorithmic Recourse for Recommender Systems.
43. Toward Connecting Speech Acts and Search Actions in Conversational Search Tasks.
44. Effective Backdoor Mitigation Depends on the Pre-training Objective.
45. Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models.
46. Detecting Spurious Correlations via Robust Visual Concepts in Real and AI-Generated Image Classification.
47. Artificial Intelligence in Career Counseling: A Test Case with ResumAI.
48. Taking Search to Task.
49. Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies.
50. Towards Fairness-Aware Ranking by Defining Latent Groups Using Inferred Features.
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