Center for Language and Speech Processing

Events

Lei Li (Carnegie Mellon University) “Empowering Responsible Use of Large Language Models”

August 27, 2023
When: September 1, 2023 @ 12:00 pm – 1:15 pm
Where: Hackerman Hall B17, 3400 N. Charles Street, Baltimore, MD 21218

Abstract Large language models (LLMs) have demonstrated incredible power, but they also possess vulnerabilities that can lead to misuse and potential attacks. In this presentation, we will address two fundamental questions regarding the responsible utilization[…]

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Becky Passonneau (Penn State University) ” Automated Support to Scaffold Students’ Short- and Long-form STEM Writing”

April 10, 2023
When: April 28, 2023 @ 12:00 pm – 1:15 pm
Where: Hackerman Hall B17, 3400 N. Charles Street, Baltimore, MD 21218

Abstract Automated analysis of student writing has the potential to provide alternatives to selected-response questions such as multiple choice, and to enable teachers and instructors to assess students’ reasoning skills based on their long-form writing.[…]

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Karthik Narasimhan (Princeton University) ” Towards General-Purpose Language-Enabled Agents: Machines that can Read, Think and Act”

April 4, 2023
When: April 21, 2023 @ 12:00 pm – 1:15 pm
Where: Hackerman Hall B17, 3400 N. Charles Street, Baltimore, MD 21218

Abstract Large language models (LLMs) have ushered in exciting capabilities in language understanding and text generation, with systems like ChatGPT holding fluent dialogs with users and being almost indistinguishable from humans. While this has obviously[…]

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Upcoming Seminars

Sep
26
Fri
12:00 pm Auditing Memorization, Dissectin... @ Hackerman Hall B17
Auditing Memorization, Dissectin... @ Hackerman Hall B17
Sep 26 @ 12:00 pm – 1:15 pm
Abstract: The widespread adoption of large language models (LLMs) places a responsibility on the AI research community to rigorously study and understand them. In this talk, I will describe my group’s research on analyzing LLMs’[...]
Sep
29
Mon
12:00 pm NUTMEG: Separating Signal From N... @ Hackerman Hall B17
NUTMEG: Separating Signal From N... @ Hackerman Hall B17
Sep 29 @ 12:00 pm – 1:15 pm
Abstract: NLP models often rely on human-labeled data for training and evaluation. Many approaches crowdsource this data from a large number of annotators with varying skills, backgrounds, and motivations, resulting in conflicting annotations. These conflicts[...]
Oct
3
Fri
12:00 pm Propaganda is already influencin... @ Hackerman Hall B17
Propaganda is already influencin... @ Hackerman Hall B17
Oct 3 @ 12:00 pm – 1:15 pm
Abstract Millions of people around the world query (prompt) large language models for information. While several studies have compellingly documented the persuasive potential of these models, there is limited evidence of who or what influences[...]

Center for Language and Speech Processing